PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?item ?itemLabel_ja ?itemLabel_en ?volume ?seriesOrdinal ?pubDate ?place ?placeLabel WHERE {
  ?item wdt:P31 / wdt:P279 * wd:Q53460949 .
  ?item ?partProp wd:Q3853685 .
  FILTER ( ?partProp IN ( wdt:P179 , wdt:P361 ) ) OPTIONAL {
    ?item rdfs:label ?itemLabel_ja FILTER ( LANG( ?itemLabel_ja ) = "ja" )
  }
  OPTIONAL {
    ?item rdfs:label ?itemLabel_en FILTER ( LANG( ?itemLabel_en ) = "en" )
  }
  OPTIONAL {
    ?item wdt:P478 ?volume
  }
  OPTIONAL {
    ?item wdt:P1545 ?seriesOrdinal
  }
  OPTIONAL {
    ?item wdt:P577 ?pubDate
  }
  OPTIONAL {
    ?item wdt:P291 ?place .
    ?place rdfs:label ?placeLabel
    FILTER ( LANG( ?placeLabel ) = "en" )
  }
}
ORDER BY ?pubDate ?item

Using entities:
Detective Conan (wd:Q3853685), also known as Case Closed
manga chapter (wd:Q53460949)

Using properties:
series ordinal (wd:P1545 as wdt), also known as index, num., number, ordinal, ordinal number, etc.
part of the series (wd:P179 as wdt), also known as collection, episode of, in series, issue of, listed in, etc.
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
place of publication (wd:P291 as wdt), also known as country (published in), location of publication, printed at, printed in, publication city, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
volume (wd:P478 as wdt), also known as numbering in series, numbering of part, numbering of volume, number of part, number of series, etc.
publication date (wd:P577 as wdt), also known as air date, airdate, be published during, be published in, broadcast date, etc.

Got 7 rows and 8 columns:
| item                                           | itemLabel_ja | itemLabel_en                        | volume | seriesOrdinal | pubDate                             | place | placeLabel |
| ---------------------------------------------- | ------------ | ----------------------------------- | ------ | ------------- | ----------------------------------- | ----- | ---------- |
| The Sacred Light of the Dead (wd:Q132175258)   | 屍人の御燈 (ja)   | The Sacred Light of the Dead (en)   |        |               |                                     |       |            |
| The Fire Burns Again (wd:Q132175259)           | 火はまた燃える (ja) | The Fire Burns Again (en)           |        |               |                                     |       |            |
| Sifting Through the Ashes (wd:Q132175260)      | 火炎の後始末 (ja)  | Sifting Through the Ashes (en)      |        |               |                                     |       |            |
| The Entrusted Proof (wd:Q132175261)            | 託された証 (ja)   | The Entrusted Proof (en)            |        |               |                                     |       |            |
| A Chance Meeting (wd:Q131383795)               | 邂逅遭遇 (ja)    | A Chance Meeting (en)               |        |               | 2024-11-20T00:00:00Z (xsd:dateTime) |       |            |
| Cutting the Gordian Knot (wd:Q131383796)       | 快刀乱麻 (ja)    | Cutting the Gordian Knot (en)       |        |               | 2024-11-27T00:00:00Z (xsd:dateTime) |       |            |
| A Once-in-a-Lifetime Encounter (wd:Q131383797) | 一期一会 (ja)    | A Once-in-a-Lifetime Encounter (en) |        |               | 2024-12-04T00:00:00Z (xsd:dateTime) |       |            |

Answer:
I executed the query. Results (7 items):

1) wd:Q132175258 — Japanese title: "屍人の御燈" ; English label: "The Sacred Light of the Dead" ; volume: (none) ; series ordinal: (none) ; publication date: (none) ; place of publication: (none)
2) wd:Q132175259 — Japanese title: "火はまた燃える" ; English label: "The Fire Burns Again" ; volume: (none) ; series ordinal: (none) ; publication date: (none) ; place of publication: (none)
3) wd:Q132175260 — Japanese title: "火炎の後始末" ; English label: "Sifting Through the Ashes" ; volume: (none) ; series ordinal: (none) ; publication date: (none) ; place of publication: (none)
4) wd:Q132175261 — Japanese title: "託された証" ; English label: "The Entrusted Proof" ; volume: (none) ; series ordinal: (none) ; publication date: (none) ; place of publication: (none)
5) wd:Q131383795 — Japanese title: "邂逅遭遇" ; English label: "A Chance Meeting" ; volume: (none) ; series ordinal: (none) ; publication date: 2024-11-20 ; place of publication: (none)
6) wd:Q131383796 — Japanese title: "快刀乱麻" ; English label: "Cutting the Gordian Knot" ; volume: (none) ; series ordinal: (none) ; publication date: 2024-11-27 ; place of publication: (none)
7) wd:Q131383797 — Japanese title: "一期一会" ; English label: "A Once-in-a-Lifetime Encounter" ; volume: (none) ; series ordinal: (none) ; publication date: 2024-12-04 ; place of publication: (none)

Note: These are the items in Wikidata that are instances (or subclasses) of "manga chapter" and that are linked to the Detective Conan series (wd:Q3853685) via P179 (part of the series) or P361 (part of). Many chapters are not represented this way in Wikidata, so the result set is limited to these 7 items.

Which items are manga chapters that are part of the "Detective Conan" series? Provide each chapter's Japanese title (if available), volume (if available), series ordinal (if available), publication date (if available), and place of publication (if available).

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Which items are manga chapters that are part of the "Detective Conan" series? Provide each chapter's Japanese title (if available), volume (if available), series ordinal (if available), publication date (if available), and place of publication (if available).

[Assistant] I'll first find the Wikidata item for the "Detective Conan" manga series, then look for items that are manga chapters belonging to that series. I'll search for the series entity now.

[Tool]
Top 10 entity alternatives:
1. Detective Conan (wd:Q3853685), also known as Case Closed: is instance of manga series / Japanese manga series
2. Detective Conan (wd:Q185143), also known as Case Closed, Conan, Meitantei Conan, Meitantei Konan: is instance of media franchise / Japanese animy series
3. Case Closed (wd:Q5363072, matched via Detective Conan), also known as Detective Conan, Meitantei Conan: is instance of anime television series / Japanese anime television series
4. Detective Conan Short Stories (wd:Q1201105, matched via Detective Conan Tokubetsu-hen), also known as Detective Conan Tokubetsu-hen, Meitantei Conan Tokubetsu-hen: is instance of manga series / Japanese manga series
5. Case Closed, vol.2 (wd:Q21082202, matched via Detective Conan 02), also known as Case Closed 2, Case Closed (Book 2), Case Closed vol 2, Case Closed vol.2, Case Closed volume 2, etc.: is instance of manga
6. Detective Conan (wd:Q12294798), also known as Case Closed: is instance of film series / film series / film series / film series
7. Case Closed, vol.1 (wd:Q26884509, matched via Detective Conan 01), also known as Case Closed 01, Case Closed 1, Case Closed (Book 1), Case Closed vol 1, Case Closed vol.1, etc.: is instance of manga
8. Case Closed, vol.4 (wd:Q26912923, matched via Detective Conan 04), also known as Case Closed 4, Case Closed (Book 4), Case Closed vol 4, Case Closed vol.4, Case Closed volume 4, etc.: is instance of manga
9. Case Closed, vol.3 (wd:Q26905865, matched via Detective Conan 03), also known as Case Closed 3, Case Closed (Book 3), Case Closed vol 3, Case Closed vol.3, Case Closed volume 3, etc.: is instance of manga
10. Detective Conan universe (wd:Q16700410): narrative universe of the Detective Conan manga series / is instance of fictional universe

[Assistant] I'll search for an entity corresponding to the Detective Conan manga series (I saw candidate Q3853685) and for the concept "manga chapter" to use as an instance filter. Then I'll build a query selecting items that are instances of manga chapter and part of the Detective Conan series, returning the requested properties. I'll search for "manga chapter" now.

[Tool]
Top 10 entity alternatives:
1. manga chapter (wd:Q53460949): a chapter that is part of manga / is subclass of Chapter / is subclass of chapter
2. manga (wd:Q8274), also known as Japanese-style comics, manga novel: comics employing a set of Japanese stylistic conventions, produced in Japan or elsewhere / is instance of field of work / is instance of comic format / is instance of comic genre / comics created in Japan / comics created in Japan / is subclass of comics
3. mangaka (wd:Q191633, matched via manga artist), also known as manga artist: is subclass of comics artist / is instance of profession / person who creates manga
4. shōnen (wd:Q231302, matched via shōnen manga), also known as shonen, shōnen manga, shounen, shounen manga: manga marketed primarily to adolescent boys / is instance of target audience for manga / is instance of manga genre / is subclass of manga
5. shōjo (wd:Q242492, matched via Shojo manga), also known as Shōjo, Shojo manga, Shoujo manga: manga aimed at a teenage female readership / is instance of target audience for manga / is instance of manga genre / is subclass of manga
6. Edu Manga (wd:Q1825767), also known as Antonio Eduardo dos Santos: has occupation association football player / Brazilian association football player / has occupation soccer player / has occupation politician / is instance of human / Brazilian footballer / Brazilian footballer
7. seinen (wd:Q237338, matched via seinen manga), also known as seinen manga, youth manga: manga marketed primarily to late adolescent young adults (18 yr and older) / is instance of target audience for manga / is subclass of manga
8. webcomic (wd:Q213369, matched via Internet manga), also known as Internet comic, Internet manga, online comic, online manga, web comic, etc.: is subclass of comic strip series / is subclass of comic book series / is subclass of digital comic / is instance of comic format / is subclass of website / comic published online
9. lolicon (wd:Q309227, matched via lolicon manga), also known as lilocon, loli, loli anime and manga, lolicon anime and manga, lolicon manga, etc.: desire for young girl characters in anime and manga / is instance of anime and manga genre / is subclass of romance video game / is instance of video game theme
10. children's anime and manga (wd:Q478804, matched via children's manga), also known as children's anime, children's manga, kids' anime, kids' anime and manga, kids' manga, etc.: is instance of target audience for manga / anime and manga for children / is subclass of manga / is subclass of anime

[Assistant] I'll verify the Detective Conan series item (wd:Q3853685) and inspect its instance-of statements to confirm it's the manga series, then search for properties needed (series ordinal, volume, publication date, place of publication). I'll list triples for wd:Q3853685 and search for properties like "series ordinal", "volume", "publication date", and "place of publication".

[Tool]
Got 160 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                            | object                                 |
| ----------------------------- | ----------------------------------- | -------------------------------------- |
| Detective Conan (wd:Q3853685) | instance of (wdt:P31)               | manga series (wd:Q21198342)            |
| Detective Conan (wd:Q3853685) | title (wdt:P1476)                   | 名探偵コナン (ja)                            |
| Detective Conan (wd:Q3853685) | published in (wdt:P1433)            | Weekly Shōnen Sunday (wd:Q875066)      |
| Detective Conan (wd:Q3853685) | author (wdt:P50)                    | Gosho Aoyama (wd:Q313945)              |
| Detective Conan (wd:Q3853685) | language of work or name (wdt:P407) | Japanese (wd:Q5287)                    |
| Detective Conan (wd:Q3853685) | Commons category (wdt:P373)         | Detective Conan                        |
| Detective Conan (wd:Q3853685) | has part(s) (wdt:P527)              | Case Closed, vol.2 (wd:Q21082202)      |
| Detective Conan (wd:Q3853685) | country of origin (wdt:P495)        | Japan (wd:Q17)                         |
| Detective Conan (wd:Q3853685) | genre (wdt:P136)                    | mystery anime and manga (wd:Q15637305) |
| Detective Conan (wd:Q3853685) | different from (wdt:P1889)          | Detective Conan (wd:Q185143)           |
| ...                           | ...                                 | ...                                    |

[Assistant] I'll search for items that use the property "part of" (P361) pointing to the Detective Conan series (wd:Q3853685) to see how chapters are linked. I'll call the list function for property P361 with object wd:Q3853685.

[Tool]
Got 1 row and 3 columns:
| subject                    | property           | object                        |
| -------------------------- | ------------------ | ----------------------------- |
| Amuro Tooru (wd:Q30921021) | part of (wdt:P361) | Detective Conan (wd:Q3853685) |

[Assistant] I'll search for the properties likely needed: series (P179), series ordinal (P1545), volume (I need to find the correct property), publication date (P577), and place of publication (P291). I'll search for each property name to confirm identifiers.

[Tool]
Top 10 property alternatives:
1. series ordinal (wd:P1545 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as index, num., number, ordinal, ordinal number, etc.: position of an item in its parent series (most frequently a ... "ranking" defined as a property for evaluating a quality). / position of an item in its parent series (most frequently a ... "ranking" defined as a property for evaluating a quality) / position of an item in its parent series, generally to be used as a qualifier. Different from "rank"
2. ordered by (wd:P8004 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as P8004: subject that ordered the act
3. volume (wd:P478 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via numbering in series), also known as numbering in series, numbering of part, numbering of volume, number of part, number of series, etc.: volume of a book or music release in a collection/series or a published collection of journal issues in a serial publication / volume of a book in a collection/series, for reference
4. regnal ordinal (wd:P7338 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as regnal number, royal numeral, P7338: (qualifier) the ordinal number used with this name. Generally ... it among persons with the same name who held the same office
5. chronological designation (wd:P12044 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as P12044: stated scholarly journal year to which reference is made by: ... may not be the same as the publication date or volume
6. has sorting (wd:P8307 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via sort), also known as by, order, ordering, sort, sorted by, etc.: entries are sorted by this in the appendix, list or table
7. identified in image by (wd:P7380 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via numbered as), also known as depicted with identifier, legend for number, lettered as, letter in image, marked as, etc.: qualifier for the identification of a value/object with a number, letter or sign inscribed in the image
8. part of the series (wd:P179 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via in series), also known as collection, episode of, in series, issue of, listed in, etc.: series which contains the subject / series which contains the subject / series which contains the subject / is subproperty of part of
9. indexer (wd:P12895 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via indexed by), also known as index by, indexed by, indexor, P12895: entity responsible for compiling an index of a book, ... designed to enable users to locate information quickly
10. time index (wd:P4895 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as relative time, temporal coordinate, time coordinate, timestamp, P4895: indicate when something happens relative to its beginning

[Assistant]
We have property ids: series ordinal P1545, volume P478, part of series P179 (or part of P361). Publication date is P577, place of publication is P291. I'll now construct an initial SPARQL query that finds items that are instance of manga chapter (wd:Q53460949) and that are part of series Detective Conan (wd:Q3853685) using P179 (part of the series) or P361. I'll include optional clauses for Japanese title (rdfs:label with language filter), volume (P478), series ordinal (P1545), publication date (P577), place of publication (P291), and retrieve item IRIs. I'll run a preliminary query with a LIMIT to check results.
I'll run a SELECT query to find items that are instances of "manga chapter" and part of the Detective Conan series, returning the requested properties where available. I'll include labels via rdfs:label (ja for Japanese title and en for fallback). I'll limit results to 50 for a preliminary check.

[Tool]
Got 7 rows and 8 columns:
| item                                           | itemLabel_ja | itemLabel_en                        | volume | seriesOrdinal | pubDate                             | place | placeLabel |
| ---------------------------------------------- | ------------ | ----------------------------------- | ------ | ------------- | ----------------------------------- | ----- | ---------- |
| A Chance Meeting (wd:Q131383795)               | 邂逅遭遇 (ja)    | A Chance Meeting (en)               |        |               | 2024-11-20T00:00:00Z (xsd:dateTime) |       |            |
| Cutting the Gordian Knot (wd:Q131383796)       | 快刀乱麻 (ja)    | Cutting the Gordian Knot (en)       |        |               | 2024-11-27T00:00:00Z (xsd:dateTime) |       |            |
| A Once-in-a-Lifetime Encounter (wd:Q131383797) | 一期一会 (ja)    | A Once-in-a-Lifetime Encounter (en) |        |               | 2024-12-04T00:00:00Z (xsd:dateTime) |       |            |
| The Sacred Light of the Dead (wd:Q132175258)   | 屍人の御燈 (ja)   | The Sacred Light of the Dead (en)   |        |               |                                     |       |            |
| The Fire Burns Again (wd:Q132175259)           | 火はまた燃える (ja) | The Fire Burns Again (en)           |        |               |                                     |       |            |
| Sifting Through the Ashes (wd:Q132175260)      | 火炎の後始末 (ja)  | Sifting Through the Ashes (en)      |        |               |                                     |       |            |
| The Entrusted Proof (wd:Q132175261)            | 託された証 (ja)   | The Entrusted Proof (en)            |        |               |                                     |       |            |

[Assistant] The initial query returned 7 items that are instances of 'manga chapter' and in series Detective Conan. Some have publication dates (2024 dates). None have volume, series ordinal, or place of publication in these results. I should broaden the query to ensure I capture items that might be linked via P361 (part of) instead of P179, and also capture items that are instance of subclasses of manga chapter. I'll modify the query to accept either P179 or P361 linking to the series, and to include items that are instance of (P31) or subclass of (P279*) manga chapter. I'll also remove the LIMIT and try to get all results, but first try with LIMIT 500 to be safe. I'll run the refined query.

[Tool]
Got 7 rows and 8 columns:
| item                                           | itemLabel_ja | itemLabel_en                        | volume | seriesOrdinal | pubDate                             | place | placeLabel |
| ---------------------------------------------- | ------------ | ----------------------------------- | ------ | ------------- | ----------------------------------- | ----- | ---------- |
| A Chance Meeting (wd:Q131383795)               | 邂逅遭遇 (ja)    | A Chance Meeting (en)               |        |               | 2024-11-20T00:00:00Z (xsd:dateTime) |       |            |
| Cutting the Gordian Knot (wd:Q131383796)       | 快刀乱麻 (ja)    | Cutting the Gordian Knot (en)       |        |               | 2024-11-27T00:00:00Z (xsd:dateTime) |       |            |
| A Once-in-a-Lifetime Encounter (wd:Q131383797) | 一期一会 (ja)    | A Once-in-a-Lifetime Encounter (en) |        |               | 2024-12-04T00:00:00Z (xsd:dateTime) |       |            |
| The Sacred Light of the Dead (wd:Q132175258)   | 屍人の御燈 (ja)   | The Sacred Light of the Dead (en)   |        |               |                                     |       |            |
| The Fire Burns Again (wd:Q132175259)           | 火はまた燃える (ja) | The Fire Burns Again (en)           |        |               |                                     |       |            |
| Sifting Through the Ashes (wd:Q132175260)      | 火炎の後始末 (ja)  | Sifting Through the Ashes (en)      |        |               |                                     |       |            |
| The Entrusted Proof (wd:Q132175261)            | 託された証 (ja)   | The Entrusted Proof (en)            |        |               |                                     |       |            |

[Assistant]
There are only 7 matching items in Wikidata according to this query. That seems small: likely many chapters are not separately entered as instances of 'manga chapter', or they are represented in other ways. The user asked "Which items are manga chapters that are part of the 'Detective Conan' series? Provide each chapter's Japanese title (if available), volume (if available), series ordinal (if available), publication date (if available), and place of publication (if available)."

I should return a SPARQL query that finds all items that are instance of manga chapter (wd:Q53460949) and part of the Detective Conan series (wd:Q3853685), with optional fields. According to the rules, I must explain thought process before and after each step and function call — I've been doing that. Now I need to produce the final SPARQL query and run it (I have run it already). The final query should return the item IRIs and optional labels and properties; ensure labels are optional. Also include ordering maybe by pubDate? The rule says not to perform additional computation outside SPARQL — ordering is fine. But not necessary.

I'll prepare the final SPARQL query: similar to the refined one but without LIMIT, returning all results. Also include DISTINCT and ORDER BY ?pubDate ?item. Then I must call the answer function with the final SPARQL query and give the answer based on results. The answer should list each item and the fields.

I'll run the final query (no limit) and then present the results.

[Tool]
Got 7 rows and 8 columns:
| item                                           | itemLabel_ja | itemLabel_en                        | volume | seriesOrdinal | pubDate                             | place | placeLabel |
| ---------------------------------------------- | ------------ | ----------------------------------- | ------ | ------------- | ----------------------------------- | ----- | ---------- |
| The Sacred Light of the Dead (wd:Q132175258)   | 屍人の御燈 (ja)   | The Sacred Light of the Dead (en)   |        |               |                                     |       |            |
| The Fire Burns Again (wd:Q132175259)           | 火はまた燃える (ja) | The Fire Burns Again (en)           |        |               |                                     |       |            |
| Sifting Through the Ashes (wd:Q132175260)      | 火炎の後始末 (ja)  | Sifting Through the Ashes (en)      |        |               |                                     |       |            |
| The Entrusted Proof (wd:Q132175261)            | 託された証 (ja)   | The Entrusted Proof (en)            |        |               |                                     |       |            |
| A Chance Meeting (wd:Q131383795)               | 邂逅遭遇 (ja)    | A Chance Meeting (en)               |        |               | 2024-11-20T00:00:00Z (xsd:dateTime) |       |            |
| Cutting the Gordian Knot (wd:Q131383796)       | 快刀乱麻 (ja)    | Cutting the Gordian Knot (en)       |        |               | 2024-11-27T00:00:00Z (xsd:dateTime) |       |            |
| A Once-in-a-Lifetime Encounter (wd:Q131383797) | 一期一会 (ja)    | A Once-in-a-Lifetime Encounter (en) |        |               | 2024-12-04T00:00:00Z (xsd:dateTime) |       |            |

[Assistant] I'll now prepare the final answer: include the SPARQL query and summarize the results (the items and available properties). Per the rules, I must include explanation before and after each step and function call—I've done so for calls. For the final answer, include the final SPARQL query and the list of results. Then call functions.answer to finish.

[Tool] Stopping


Explanation:
I attempted to construct and run a SPARQL query against the local Wikidata endpoint to list all current sovereign states (excluding historical and ancient civilizations) together with their capitals, the determination methods of those capitals (when available), currencies, populations, and flag images. I followed these steps:

1) Identified the relevant Wikidata items and properties: sovereign state (wd:Q3624078) as the class for countries, capital (P36), currency (P38), population (P1082), flag image (P41), and the qualifier determination method (P459) which can appear as a qualifier on the P36 statement.

2) Built a SPARQL query pattern that:
   - Selects items that are instance of sovereign state (wdt:P31 wd:Q3624078).
   - Excludes entities with a dissolution/end time statement (p:P576) to remove historical countries.
   - Optionally retrieves the capital via the p:P36 statement node and extracts the qualifier pq:P459 as the capital determination method.
   - Optionally retrieves currency (wdt:P38), population (wdt:P1082), and flag image (wdt:P41).
   - Optionally includes English rdfs:label values for readability.

3) I executed several test queries (for samples like France and the United States) and then attempted to execute the full query. However, every attempt to run queries failed due to repeated connection timeouts or connection resets to the local SPARQL endpoint (http://localhost:7001). Because of these endpoint errors I could not execute the final SPARQL query to verify results from the knowledge graph.

Since I cannot run the query successfully against the endpoint, I cannot provide verified results. Below is my best SPARQL query that, when executed against a functioning Wikidata SPARQL endpoint, should return the requested information (it returns IRIs as required and includes optional labels). You can run it on a working Wikidata SPARQL endpoint (for example, https://query.wikidata.org/sparql) to obtain the results.

Best attempt SPARQL query:

SELECT ?country ?countryLabel ?capital ?capitalLabel ?capitalDetermination ?capitalDeterminationLabel ?currency ?currencyLabel ?population ?flagImage WHERE {
  ?country wdt:P31 wd:Q3624078 .
  FILTER NOT EXISTS { ?country p:P576 ?anyEnd . }
  # Exclude items that are instances of ancient civilizations (safety)
  FILTER NOT EXISTS { ?country wdt:P31 wd:Q28171280 }

  OPTIONAL {
    ?country p:P36 ?capStmt .
    ?capStmt ps:P36 ?capital .
    OPTIONAL { ?capStmt pq:P459 ?capitalDetermination . }
  }
  OPTIONAL { ?country wdt:P38 ?currency . }
  OPTIONAL { ?country wdt:P1082 ?population . }
  OPTIONAL { ?country wdt:P41 ?flagImage . }

  OPTIONAL { ?country rdfs:label ?countryLabel . FILTER(LANG(?countryLabel) = "en") }
  OPTIONAL { ?capital rdfs:label ?capitalLabel . FILTER(LANG(?capitalLabel) = "en") }
  OPTIONAL { ?capitalDetermination rdfs:label ?capitalDeterminationLabel . FILTER(LANG(?capitalDeterminationLabel) = "en") }
  OPTIONAL { ?currency rdfs:label ?currencyLabel . FILTER(LANG(?currencyLabel) = "en") }
}
ORDER BY ?countryLabel

If you want, I can:
- Try again later to run the query if you can provide access to a working SPARQL endpoint.
- Help you run the query on the public Wikidata query service (you can paste the query into https://query.wikidata.org/sparql), or tailor the query further (for instance to select the latest population value by point in time if you want the most recent population measurement).

Reason for cancellation: repeated connection timeouts / connection resets prevented successful query execution against the provided local Wikidata endpoint, so I could not verify or return actual results.

Which countries are sovereign states, along with their capitals, currencies, populations, flag images, and the determination methods of their capitals, if available? Exclude historical countries and ancient civilizations.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Which countries are sovereign states, along with their capitals, currencies, populations, flag images, and the determination methods of their capitals, if available? Exclude historical countries and ancient civilizations.

[Assistant] I will search for the Wikidata item used for "sovereign state" to ensure I use the correct identifier. Then I'll look for properties for capital, currency, population, flag image, and the property that indicates "determination method of their capital" (this likely maps to property "capital determination method" — I'll search for relevant properties). I'll run property searches and sample queries to validate usage before composing the final query.

[Tool]
Top 10 entity alternatives:
1. sovereign state (wd:Q3624078), also known as country, nation, sovereign country, sovereign nation, Westphalian state: political organisation with a centralised independent government / political organisation with a centralised independent government / state that has the highest authority over a territory / is subclass of country / is subclass of state
2. Westphalian sovereignty (wd:Q442402, matched via state sovereignty), also known as state sovereignty, Westphalian system: concept of the sovereignty of nation-states in Europe / is subclass of world order / is instance of model
3. state sovereignty (wd:Q56350990), also known as national sovereignty
4. The Sovereign State (wd:Q7765603): is instance of literary work / book by Anthony Sampson
5. State Sovereignty Day (wd:Q130322685): Day commemorated in honor of the restoration of the ... Republic of Azerbaijan following the Anti-Terror Operation / is instance of holiday
6. Sovereign State of Forvik (wd:Q2011058): micronation founded on Forewick Holm in 2008 by Stuart Hill / is instance of micronation
7. Indonesian Sovereign State Party (wd:Q106361064), also known as Pandai Party: political party in Indonesia
8. Act on the national emblems of the state of Baden-Württemberg (wd:Q123225392, matched via State Sovereign Signs Act), also known as Land Sovereignty Signs Act, State Sovereign Signs Act: German state law on the design and use of the national emblems of the state of Baden-Württemberg / German state law on the design and use of the national emblems of the state of Baden-Württemberg / is instance of state law
9. New Union Treaty (wd:Q218877, matched via Union of Sovereign States), also known as Union of Sovereign States, Union of Soviet Sovereign Republics: is instance of proposed state merger / is instance of document / is instance of concept / draft treaty of 1991
10. Sovereign State of Aeterna Lucina (wd:Q7571613), also known as Aeterna Lucina: is instance of micronation / Micronation

[Assistant] I'll search for the properties: capital (to confirm P36), currency (P38), population (P1082), flag image (P41), and a property about "determination method of the capital" (searching for relevant property). I'll also check how "sovereign state" is used as instance of or subclass.

[Tool]
Top 10 property alternatives:
1. determination method or standard (wd:P459 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via method of determination), also known as determined by, justification, measured by, method, method of determination, etc.: how a value is determined, or the standard by which it is declared / how a value is determined, or the standard by which it is declared / qualifier stating how a value has been determined / qualifier stating how a value has been determined
2. capital cost (wd:P2130 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as budget, cost, unit cost, P2130: amount of money spent on building or producing an object
3. capital (wd:P36 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via government capital), also known as administrative capital, administrative center, administrative centre, administrative headquarters, administrative seat, etc.: location (city, municipality) of governmental seat of the country, or administrative territorial entity / seat of government of a country, province, state or other type of administrative territorial entity / city of governmental seat of the country, state or administrative subdivision
4. fabrication method (wd:P2079 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via by method), also known as assembly method, assembly process, building technique, by means, by method, etc.: method, process or technique used to grow, cook, weave, build, assemble, manufacture the item / method, process or technique used to grow, cook, weave, build, assemble, manufacture the item / is subproperty of uses
5. mode of derivation (wd:P5886 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via method of derivation), also known as derivation method, derived by method, method of derivation, P5886: (qualifier) the way that a term is derived in P5191
6. authorised capital (wd:P12651 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via authorized capital), also known as authorized capital, P12651: maximum amount of share capital that the company is authorised to issue to shareholders
7. capacity factor (wd:P6639 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as P6639: percentage of maximum power output provided on average by a given power station or power generation unit
8. distribution format (wd:P437 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via method of distribution), also known as book format, distribution, distribution method, edition, format, etc.: method (or type) of distribution for the subject / method (or type) of distribution for the subject
9. source website for the property (wd:P1896 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via source of property), also known as property source, source, source of property, source URL for the property, source website of the property, etc.: URL of website acting as source of data for this Wikidata property / is subproperty of URL
10. characteristic of (wd:P13044 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via property of), also known as inheres in, of, property of, quality of, P13044: (qualifier only) statement value is a characteristic, quality, property, or state of this qualifier value

[Assistant] I'll verify the "country" item and check how sovereign states are represented (P31) on Wikidata. Then I'll inspect properties: capital (P36), currency (P38), population (P1082), flag image (P41), and how to get the determination method qualifier for capital — that's likely the 'determination method or standard' qualifier (P459) attached to the P36 statement. I'll run test queries to see usage.

[Tool]
Top 10 entity alternatives:
1. country (wd:Q6256), also known as countries: region legally identified as a distinct entity in political geography / is instance of administrative territorial entity type / distinct territorial body or political entity / distinct territorial body or political entity / is subclass of political territorial entity / is instance of territorial entity type / is subclass of territorial entity / is subclass of territory / is instance of agent
2. country music (wd:Q83440, matched via country), also known as country, country and western, country & western: is subclass of music of North America / genre of American popular music / genre of American popular music / is subclass of popular music / is instance of radio format / is instance of music genre
3. sovereign state (wd:Q3624078, matched via country), also known as country, nation, sovereign country, sovereign nation, Westphalian state: political organisation with a centralised independent government / political organisation with a centralised independent government / state that has the highest authority over a territory / is subclass of country / is subclass of state
4. Dennis Rodman (wd:Q201608, matched via Country), also known as Country, Demolition Man, Dennis Keith Rodman, Dennis the Menace, Psycho, etc.: has occupation professional wrestler / has occupation basketball player / has occupation basketball coach / has occupation amateur wrestler / has occupation voice actor / American basketball player / has occupation film actor / has occupation actor / is instance of human
5. Country (wd:Q1754454): 1984 film directed by Richard Pearce / is instance of film
6. .country (wd:Q20571777): is instance of top-level domain / top-level domain
7. Country (wd:Q131740702): is instance of album / album by Tom Jones
8. country (wd:Q22828881): is instance of Wikimedia permanent duplicated page / is instance of Wikimedia permanent duplicate item
9. Country (wd:Q26779428): Chilean political party founded in 2016 / is instance of political party
10. Country (wd:Q48816259): People in rural areas of the United States

[Assistant]
I'll inspect statement usage: find items that are instance of sovereign state or country. We need to exclude historical countries and ancient civilizations. Typically, current sovereign states are instances of sovereign state (Q3624078) and have "end time" not present; historical countries have "dissolved, abolished or end time" (P576) or "end time" qualifiers. A good approach: select items that are instance of (P31) sovereign state (Q3624078) and not have a 'dissolved, abolished or end time' (P576) statement. Also might filter to those with 'country' status and have an ISO country code P297 or ISO 3166-1 alpha-2? But user asked "Which countries are sovereign states, along with their capitals, currencies, populations, flag images, and the determination methods of their capitals, if available? Exclude historical countries and ancient civilizations." So query should retrieve all items that are instance of sovereign state and not have P576 (dissolved). Also exclude ancient civilizations by filtering out items with 'instance of ancient civilization' maybe they wouldn't be instances of sovereign state. Nonetheless some historical states are still instances of sovereign state but with end time. We'll exclude items that have 'dissolved, abolished or end time' (P576) or have 'end time' other property. So plan:

- Select ?country where ?country wdt:P31 wd:Q3624078.
- Filter NOT EXISTS {?country p:P576 ?end . } to exclude with P576 statements. Also maybe exclude ones with 'inception' in future? But okay.

- For capital: use statement p:P36 to get statement node ?capStmt and then value ?capital via ps:P36 ?capital. We need determination method of capital — that's qualifier P459 on the P36 statement. So we need to fetch pq:P459 ?determMethod using property pq:P459? Wait qualifiers use pq: prefix for value; but to access qualifier on a statement, we need the statement node (?capStmt) and get its qualifier via ?capStmt pq:P459 ?capDet . However prefix pq: is for qualifier? In their prefix list, pq: <http://www.wikidata.org/prop/qualifier/>. But typical pattern: ?country p:P36 ?capStmt . ?capStmt ps:P36 ?capital . OPTIONAL { ?capStmt pq:P459 ?capitalDetermination . }.

- Currency: wdt:P38? Actually currency property is P38 in prefix table as p:, but direct property is wdt:P38? Wait check search_property earlier: it returned capital P36, currency P38. But direct property is wdt:P38 for direct. So use OPTIONAL { ?country wdt:P38 ?currency . }.

However note for countries currencies sometimes use currency P38 multiple. Also sometimes uses 'official currency' P38 — It's ok.

- Population: P1082 with point in time qualifiers. Use wdt:P1082 or psn? But direct value wdt:P1082 is okay BUT to get latest population, sometimes it's better to choose population with highest point in time. But requirement just asked "populations" — can return population statements; we may choose wdt:P1082 which returns the preferred/popular value (usually latest). Use OPTIONAL { ?country wdt:P1082 ?population . }.

- Flag image: property P41 with wdt:P41 ?flagImage (this returns file name string). Use OPTIONAL { ?country wdt:P41 ?flagImage . }.

- Need labels for capitals, currencies optionally but query must return IRIs. The earlier rules said SPARQL query should return actual identifiers/IRIs; labels optional in OPTIONAL using rdfs:label. The query shouldn't use wikibase:label service.

- Also need to ensure exclude historical countries and ancient civilizations: additional filter exclude if country has instance of ancient civilization (wd:Q... need to find ancient civilization item). But since we're selecting P31=sovereign state that probably excludes ancient ones. Still possibility of historical states that are instances of sovereign state but have P576 end date -> we've excluded.

- Also filter to only sovereign states that are 'sovereign state as subclass of country' Q3624078. Maybe also include those that are instance of 'country' Q6256? But user asked "Which countries are sovereign states", implies items that are instance of or subclass? Use items that satisfy 'instance of' or 'subclass of'?? Better require 'instance of' or 'subclass of' either P31 wd:Q3624078 or P279? But a country item would be instance of sovereign state. Let's search for examples like United States: wd:Q30 has P31 = sovereign state? Check.
I'll test retrieving a few known countries to ensure P31 usage works as expected (e.g., United States, France). I'll query for those items and inspect their P31 statements.

[Tool]
Got 4,953 rows and 3 columns, showing the first 10 rows below:
| subject                | property                       | object                                       |
| ---------------------- | ------------------------------ | -------------------------------------------- |
| United States (wd:Q30) | instance of (wdt:P31)          | superpower (wd:Q1489259)                     |
| United States (wd:Q30) | country (wdt:P17)              | United States (wd:Q30)                       |
| United States (wd:Q30) | coordinate location (wdt:P625) | POINT(-98.579500 39.828175) (geo:wktLiteral) |
| United States (wd:Q30) | Commons category (wdt:P373)    | United States                                |
| United States (wd:Q30) | part of (wdt:P361)             | North America (wd:Q49)                       |
| United States (wd:Q30) | Freebase ID (wdt:P646)         | /m/09c7w0                                    |
| United States (wd:Q30) | GeoNames ID (wdtn:P1566)       | <https://sws.geonames.org/6252001/>          |
| United States (wd:Q30) | population (wdt:P1082)         | 340110988 (xsd:decimal)                      |
| United States (wd:Q30) | inception (wdt:P571)           | 1784-05-12T00:00:00Z (xsd:dateTime)          |
| United States (wd:Q30) | VIAF cluster ID (wdtn:P214)    | <http://viaf.org/viaf/130168302>             |
| ...                    | ...                            | ...                                          |

[Tool]
Top 10 property alternatives:
1. ISO 3166-1 alpha-2 code (wd:P297 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as country code (ISO 3166-1 alpha-2), country code ISO 3166-1 alpha-2, two letter code, P297: identifier for a country in two-letter format per ISO 3166-1
2. ISO 3166-1 alpha-3 code (wd:P298 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as country code (ISO 3166-1 alpha-3), country code ISO 3166-1 alpha-3, P298: identifier for a country in three-letter format per ISO 3166-1
3. ISO 3166-2 code (wd:P300 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as subdivision code ISO 3166-2, P300: identifier for a country subdivision per ISO 3166-2 (include country code) / identifier for a country subdivision per ISO 3166-2 (include country code)
4. ISO 3166-1 numeric code (wd:P299 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via ISO 3166-1), also known as country code (ISO 3166-1 numeric), country code ISO 3166-1 numeric, ISO 3166-1, P299: identifier for a country in numeric format per ISO 3166-1 / identifier for a country in numeric format per ISO 3166-1
5. ISO 3166-3 (wd:P773 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as Code for formerly used names of countries, P773: identifier for a country name that has been deleted from ISO 3166-1 since its first publication in 1974
6. M49 code (wd:P2082 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via ISO 3166-1 numeric code), also known as ISO 3166-1 numeric code, M.49 code, UN M49 code, P2082: United Nations M49 code for the subject item
7. ISO 639-2 code (wd:P219 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as iso 639-2, ISO639-2, ISO language code (3 letter), P219: 3-letter identifier for language,  macro-language or language family, defined in ISO 639-2 standard / ISO 639-2 code for a language / ISO 639-2 code for a language
8. ISO 4217 code (wd:P498 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via ISO 4217 alphabetic code), also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code, P498: identifier for a currency per ISO 4217
9. lighthouse range (wd:P2929 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via P2929), also known as range of lighthouse light, P2929: the distance at which the light can be seen. If the light has ... ranges, one for each colour. Use qualifier "colour" (P462) / the distance at which the light can be seen. If the light has ... ranges, one for each color. Use qualifier "color" (P462)
10. station code (wd:P296 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via P296), also known as station identifier, station number, station numbering, telegraph code, P296: generic identifier for a railway station, when possible, use ... coding system (e.g. P1378 for China Railway TMIS codes) / generic identifier for a railway station, when possible, use ... coding system (e.g. P1378 for China Railway TMIS codes) / generic identifier for a railway station, when possible, use ... coding system (e.g. P1378 for China Railway TMIS codes) / is subproperty of location code

[Tool]
Got 1 row and 3 columns:
| subject          | property          | object         |
| ---------------- | ----------------- | -------------- |
| France (wd:Q142) | capital (wdt:P36) | Paris (wd:Q90) |

[Assistant] I'll search for the Wikidata item for "ancient civilization" to be able to explicitly exclude such instances if needed. Then I'll build and run a test query to list a few countries to verify that the P36 capital statement uses qualifier P459.

[Tool]
Top 10 entity alternatives:
1. ancient civilization (wd:Q28171280), also known as ancient civilisation, lost civilisation, lost civilization: civilization existing in ancient days / is subclass of civilisation / is subclass of civilization
2. Ancient Rome (wd:Q1747689, matched via ancient Roman civilization), also known as ancient Roman civilization, ancient Roman culture, Roman antiquity, Roman civilization, Roman culture: country that began growing on the Italian Peninsula from the 8th century BC / is subclass of archaeological culture / is instance of historical country / is subclass of Roman civilization
3. super ancient civilization (wd:Q69012724): is instance of pseudoscience
4. Ancient Shu civilization (wd:Q10913560): is instance of ancient civilization / is instance of historical country / is instance of culture / is instance of Culture / is instance of style
5. Ancient Maya Civilization (wd:Q113025958): scientific article published in June 1983 / scientific article published in June 1983 / scientific article published in June 1983 / is instance of scholarly article / is instance of academic article
6. Ancient Mesoamerican Civilization (wd:Q47802682): is instance of scholarly article / is instance of academic article / scientific article
7. Ancient civilization goes online (wd:Q128189392): is instance of scholarly article / is instance of academic article / scholarly article
8. Maya civilization site (wd:Q30504597, matched via Maya Civilization ancient site), also known as ancient site of Maya Civilization, ancient site of Mayan Civilization, archaeological site of Maya Civilization, archaeological site of Mayan Civilization, archeological site of Maya Civilization, etc.: archaeological site or ruin of the Maya civilization / is subclass of archaeological site / archaeological site or ruin / archaeological site or ruin
9. Ancient Civilization and Trade (wd:Q59232291): is instance of scholarly article / is instance of academic article
10. Four Great Ancient Civilizations (wd:Q111193196), also known as four great ancient civilizations, The Four Great Ancient Civilizations: theory which claim human civilization originate from four specific area / is instance of concrete number / is instance of theory

[Assistant]
Now I'll build a query that selects countries where ?country wdt:P31 wd:Q3624078 and not having P576. I'll retrieve ?country (IRI), optionally ?capital (IRI) and the determination method qualifier. To get qualifier, I must use p:P36 structure. Also include optional currency, population (wdt:P1082), flag image (wdt:P41). I will also include rdfs:label for human-readable names in English as OPTIONAL with FILTER(LANG(?label)="en") or use OPTIONAL { ?country rdfs:label ?countryLabel . FILTER(LANG(?countryLabel)="en") }.

Let's craft a test query to return a small sample limited with LIMIT 50 to ensure pattern works.

[Tool]
SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Assistant] I'll test the capital statement for France (wd:Q142) to check if qualifier P459 is used on its capital statement. I'll query only France to reduce load.

[Tool]
SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Tool]
Call to function list returned an error:
Failed to list triples with error:
('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))

[Assistant] I'll run the final SPARQL query (without a LIMIT) to retrieve all sovereign states and the requested properties.

[Tool]
SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Tool] Stopping


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?country ?countryLabel ?flag ?population WHERE {
  ?country wdt:P31 wd:Q6256 .
  OPTIONAL {
    ?country wdt:P41 ?flag .
  }
  OPTIONAL {
    ?country wdt:P1082 ?population .
  }
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
}
ORDER BY DESC ( ?population )

Using entities:
country (wd:Q6256), also known as countries

Using properties:
population (wd:P1082 as wdt), also known as human population, inhabitants, P1082
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
flag image (wd:P41 as wdt), also known as image flag, image of flag, P41

Got 197 rows and 4 columns, showing the first 5 and last 5 rows below:
| country                              | countryLabel                    | flag                                                                                | population               |
| ------------------------------------ | ------------------------------- | ------------------------------------------------------------------------------------------------------------- | ------------------------ |
| People's Republic of China (wd:Q148) | People's Republic of China (en) | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20the%20People%27s%20Republic%20of%20China.svg> | 1442965000 (xsd:decimal) |
| India (wd:Q668)                      | India (en)                      | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20India.svg>                                    | 1326093247 (xsd:decimal) |
| United States (wd:Q30)               | United States (en)              | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20the%20United%20States.svg>                    | 340110988 (xsd:decimal)  |
| Indonesia (wd:Q252)                  | Indonesia (en)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Indonesia.svg>                                | 275439000 (xsd:decimal)  |
| Pakistan (wd:Q843)                   | Pakistan (en)                   | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Pakistan.svg>                                 | 223773700 (xsd:decimal)  |
| ...                                  | ...                             | ...                                                                                | ...                      |
| Persia (wd:Q125422413)               | Persia (en)                     |                                                                                |                          |
| Riviera di San Giulio (wd:Q3937987)  | Riviera di San Giulio (en)      |                                                                                |                          |
| Tarshish (wd:Q44826)                 | Tarshish (en)                   |                                                                                |                          |
| Republic of Haiti (wd:Q97704156)     | Republic of Haiti (en)          |                                                                                |                          |
| Republic of Cuba (wd:Q14905932)      | Republic of Cuba (en)           | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Cuba%20%28sky%20blue%29.svg>                  |                          |

Answer:
I ran the query which returns countries (their IRIs), optional English labels, optional flag image URLs (Commons FilePath URLs), and optional population values, ordered by descending population. The query returned 197 rows. Top results (country label — flag URL — population) from the executed query:

1. People's Republic of China — http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20the%20People%27s%20Republic%20of%20China.svg — 1442965000
2. India — http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20India.svg — 1326093247
3. United States — http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20the%20United%20States.svg — 340110988
4. Indonesia — http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Indonesia.svg — 275439000
5. Pakistan — http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Pakistan.svg — 223773700

You can run the provided SPARQL query against the Wikidata endpoint to retrieve the full ordered list (it returns each country's Wikidata IRI in the ?country variable). If you want the results in a different format (CSV/JSON) or limited to a particular number of countries or region, tell me and I will adjust the query.

What are the countries along with images of their flags and their populations, ordered by descending population?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What are the countries along with images of their flags and their populations, ordered by descending population?

[Assistant] Step 1: I'll identify the relevant properties in Wikidata: the property for a country's flag image and the property for population. I'll search for properties related to "flag image" and "population". Then I'll verify they exist and are used with countries. I'll start by searching for the property "flag image". I'll call the property search tool next.

[Tool]
Top 10 property alternatives:
1. flag image (wd:P41 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as image flag, image of flag, P41
2. flag (wd:P163 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as flag description, P163
3. small logo or icon (wd:P8972 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via logo icon), also known as favicon, icon logo, logo icon, small icon, P8972
4. seal image (wd:P158 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via emblem image), also known as emblem, emblem image, seal, P158
5. logo image (wd:P154 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as insignia, logo, logomark, mark, marque, etc.
6. symbol of (wd:P8058 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via flag of), also known as emblem of, flag of, logo of, seal of, symbolises, etc.
7. icon (wd:P2910 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as pictogram, symbol, P2910
8. name (image) (wd:P7407 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via label image), also known as image as label, image label, image of name, label as image, label image, etc.
9. place name sign (wd:P1766 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via signage image), also known as city limit sign, highway sign, image of place name sign, image of signage, placename sign, etc.
10. signature (wd:P109 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via signature image), also known as autograph, facsimiles, image of signature, signature image, P109

[Assistant] Now I'll search for the property representing "population".

[Tool]
Top 10 property alternatives:
1. tabular population (wd:P4179 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via population), also known as population, P4179
2. population (wd:P1082 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as human population, inhabitants, P1082
3. male population (wd:P1540 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as male inhabitants, number of males, P1540
4. urban population (wd:P6343 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as P6343
5. occupant (wd:P466 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via inhabitant), also known as home team, houses, inhabitant, lessee, location of, etc.
6. category populated by (wd:P4329 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via populated by), also known as category filled by, category has template, cat populated by, component adding into the category, populated by, etc.
7. rural population (wd:P6344 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as P6344
8. country of citizenship (wd:P27 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via nationality), also known as citizen of, citizenship, country, (legal) nationality, nation, etc.
9. ethnic group (wd:P172 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via people), also known as (cultural) nationality, culture, ethnicity, ethnic or cultural origin, people, etc.
10. valid in place (wd:P3005 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via country), also known as applies to country, applies to location, applies to place, country, true in, etc.

[Assistant] I'll verify that countries like the United States (wd:Q30) use the properties P41 (flag image) and P1082 (population) as expected by listing triples for that entity. I'll call the list function for wd:Q30.

[Tool]
Got 4,953 rows and 3 columns, showing the first 10 rows below:
| subject                | property                       | object                                       |
| ---------------------- | ------------------------------ | -------------------------------------------- |
| United States (wd:Q30) | instance of (wdt:P31)          | superpower (wd:Q1489259)                     |
| United States (wd:Q30) | country (wdt:P17)              | United States (wd:Q30)                       |
| United States (wd:Q30) | coordinate location (wdt:P625) | POINT(-98.579500 39.828175) (geo:wktLiteral) |
| United States (wd:Q30) | Commons category (wdt:P373)    | United States                                |
| United States (wd:Q30) | part of (wdt:P361)             | North America (wd:Q49)                       |
| United States (wd:Q30) | Freebase ID (wdt:P646)         | /m/09c7w0                                    |
| United States (wd:Q30) | GeoNames ID (wdtn:P1566)       | <https://sws.geonames.org/6252001/>          |
| United States (wd:Q30) | population (wdt:P1082)         | 340110988 (xsd:decimal)                      |
| United States (wd:Q30) | inception (wdt:P571)           | 1784-05-12T00:00:00Z (xsd:dateTime)          |
| United States (wd:Q30) | VIAF cluster ID (wdtn:P214)    | <http://viaf.org/viaf/130168302>             |
| ...                    | ...                            | ...                                          |

[Assistant] I'll check how P41 values are represented by listing some objects for property P41.

[Tool]
No entity items found

No other items found

No literal items found

[Assistant] I'll list triples that use the direct property wdt:P41 (flag image) to confirm how it's stored.

[Tool]
Got 56,360 rows and 3 columns, showing the first 10 rows below:
| subject                | property             | object                                                                                |
| ---------------------- | -------------------- | ------------------------------------------------------------------------------------------ |
| United States (wd:Q30) | flag image (wdt:P41) | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20the%20United%20States.svg> |
| Turkey (wd:Q43)        | flag image (wdt:P41) | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Turkey.svg>                |
| Russia (wd:Q159)       | flag image (wdt:P41) | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Russia.svg>                |
| Japan (wd:Q17)         | flag image (wdt:P41) | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Japan.svg>                 |
| Italy (wd:Q38)         | flag image (wdt:P41) | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Italy.svg>                 |
| Germany (wd:Q183)      | flag image (wdt:P41) | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Germany.svg>               |
| France (wd:Q142)       | flag image (wdt:P41) | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20France.svg>                |
| Finland (wd:Q33)       | flag image (wdt:P41) | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Finland.svg>               |
| Mexico (wd:Q96)        | flag image (wdt:P41) | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Mexico.svg>                |
| India (wd:Q668)        | flag image (wdt:P41) | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20India.svg>                 |
| ...                    | ...                  | ...                                                                                |

[Assistant] I'll search for the entity identifier for "country" to confirm wd:Q6256 is correct.

[Tool]
Top 10 entity alternatives:
1. country (wd:Q6256), also known as countries: region legally identified as a distinct entity in political geography / is instance of administrative territorial entity type / distinct territorial body or political entity / distinct territorial body or political entity / is subclass of political territorial entity / is instance of territorial entity type / is subclass of territorial entity / is subclass of territory / is instance of agent
2. country music (wd:Q83440, matched via country), also known as country, country and western, country & western: is subclass of music of North America / genre of American popular music / genre of American popular music / is subclass of popular music / is instance of radio format / is instance of music genre
3. sovereign state (wd:Q3624078, matched via country), also known as country, nation, sovereign country, sovereign nation, Westphalian state: political organisation with a centralised independent government / political organisation with a centralised independent government / state that has the highest authority over a territory / is subclass of country / is subclass of state
4. Dennis Rodman (wd:Q201608, matched via Country), also known as Country, Demolition Man, Dennis Keith Rodman, Dennis the Menace, Psycho, etc.: has occupation professional wrestler / has occupation basketball player / has occupation basketball coach / has occupation amateur wrestler / has occupation voice actor / American basketball player / has occupation film actor / has occupation actor / is instance of human
5. Country (wd:Q1754454): 1984 film directed by Richard Pearce / is instance of film
6. .country (wd:Q20571777): is instance of top-level domain / top-level domain
7. Country (wd:Q131740702): is instance of album / album by Tom Jones
8. country (wd:Q22828881): is instance of Wikimedia permanent duplicated page / is instance of Wikimedia permanent duplicate item
9. Country (wd:Q26779428): Chilean political party founded in 2016 / is instance of political party
10. Country (wd:Q48816259): People in rural areas of the United States

[Assistant] I'll construct a SPARQL query to get all instances of country (wd:Q6256) with their flag image (wdt:P41) and population (wdt:P1082), ordering by population descending. I should include labels for readability using rdfs:label with optional clauses. I'll first run a simple SELECT to retrieve country, flag image, population, and their English labels.

[Tool]
Got 197 rows and 4 columns, showing the first 5 and last 5 rows below:
| country                              | countryLabel                    | flag                                                                                | population               |
| ------------------------------------ | ------------------------------- | ------------------------------------------------------------------------------------------------------------- | ------------------------ |
| People's Republic of China (wd:Q148) | People's Republic of China (en) | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20the%20People%27s%20Republic%20of%20China.svg> | 1442965000 (xsd:decimal) |
| India (wd:Q668)                      | India (en)                      | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20India.svg>                                    | 1326093247 (xsd:decimal) |
| United States (wd:Q30)               | United States (en)              | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20the%20United%20States.svg>                    | 340110988 (xsd:decimal)  |
| Indonesia (wd:Q252)                  | Indonesia (en)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Indonesia.svg>                                | 275439000 (xsd:decimal)  |
| Pakistan (wd:Q843)                   | Pakistan (en)                   | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Pakistan.svg>                                 | 223773700 (xsd:decimal)  |
| ...                                  | ...                             | ...                                                                                | ...                      |
| Persia (wd:Q125422413)               | Persia (en)                     |                                                                                |                          |
| Riviera di San Giulio (wd:Q3937987)  | Riviera di San Giulio (en)      |                                                                                |                          |
| Tarshish (wd:Q44826)                 | Tarshish (en)                   |                                                                                |                          |
| Republic of Haiti (wd:Q97704156)     | Republic of Haiti (en)          |                                                                                |                          |
| Republic of Cuba (wd:Q14905932)      | Republic of Cuba (en)           | <http://commons.wikimedia.org/wiki/Special:FilePath/Flag%20of%20Cuba%20%28sky%20blue%29.svg>                  |                          |

[Assistant] I'll now provide the final SPARQL query (which I executed to verify it returns results) and a short summary of the top results from that execution.

[Tool] Stopping


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?item ?deLabel WHERE {
  ?item wdt:P195 wd:Q812285 .
  ?item wdt:P31 ?type .
  ?type wdt:P279 * wd:Q3305213 .
  ?item rdfs:label ?deLabel .
  FILTER ( lang( ?deLabel ) = "de" ) FILTER ( STRENDS( STR( ?deLabel ) , ")" ) )
}
ORDER BY ?deLabel

Using entities:
painting (wd:Q3305213), also known as painting (object), paintings
Bavarian State Painting Collections (wd:Q812285), also known as Bayerische Staatsgemäldesammlungen, BStGS, Centralgemäldegaleriedirektion

Using properties:
collection (wd:P195 as wdt), also known as archival holdings, archives, art collection, bibliographic collection, book collection, etc.
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.

Got 2,365 rows and 2 columns, showing the first 5 and last 5 rows below:
| item         | deLabel                                                |
| ------------ | ------------------------------------------------------ |
| wd:Q30088430 | 1/85 (= die erste fertige Arbeit 1985) (de)            |
| wd:Q30085523 | 21.5.86 (1) (de)                                       |
| wd:Q30088435 | 28. Malaktion (Kreuzwegstation) (de)                   |
| wd:Q30084680 | 83/84 . (1985) (de)                                    |
| wd:Q30094421 | Abendlandschaft (Art des) (de)                         |
| ...          | ...                                                    |
| wd:Q30072452 | Zwei Jünglingsakte (Kl. Triptychon, rechter Teil) (de) |
| wd:Q30057118 | Zwei Löwen als Wappentiere (Fragment) (de)             |
| wd:Q29951706 | Zwei Löwen als Wappentiere (Fragment) (de)             |
| wd:Q30080290 | Zwei Mädchen im Boot (Motiv vom Bodensee) (de)         |
| wd:Q30095492 | Zwei Pferde im Stall (?) (de)                          |

Answer:
I executed a query to find paintings in the Bavarian State Painting Collections (wd:Q812285) whose German rdfs:label ends with a closing parenthesis ")".

Query summary:
- Criteria: collection (P195) = wd:Q812285; instance-of (P31) type that is painting (wd:Q3305213) or subclass; German rdfs:label ending with ")".
- SPARQL used (returned item IRIs and their German labels):

SELECT ?item ?deLabel WHERE {
  ?item wdt:P195 wd:Q812285 .
  ?item wdt:P31 ?type .
  ?type wdt:P279* wd:Q3305213 .
  ?item rdfs:label ?deLabel .
  FILTER(lang(?deLabel) = "de")
  FILTER(STRENDS(STR(?deLabel), ")"))
}
ORDER BY ?deLabel

Result summary (based on the query execution):
- Number of matching items: 2365
- First few examples (item IRI — German label):
  - wd:Q30088430 — 1/85 (= die erste fertige Arbeit 1985) (de)
  - wd:Q30085523 — 21.5.86 (1) (de)
  - wd:Q30088435 — 28. Malaktion (Kreuzwegstation) (de)
  - wd:Q30084680 — 83/84 . (1985) (de)
  - wd:Q30094421 — Abendlandschaft (Art des) (de)

- Last few examples:
  - wd:Q30072452 — Zwei Jünglingsakte (Kl. Triptychon, rechter Teil) (de)
  - wd:Q30057118 — Zwei Löwen als Wappentiere (Fragment) (de)
  - wd:Q29951706 — Zwei Löwen als Wappentiere (Fragment) (de)
  - wd:Q30080290 — Zwei Mädchen im Boot (Motiv vom Bodensee) (de)
  - wd:Q30095492 — Zwei Pferde im Stall (?) (de)

If you want, I can:
- return the full list (IRI + German label) as a downloadable CSV or TSV;
- restrict the results to a specific museum within the Bavarian State Painting Collections (e.g., Alte Pinakothek) by adding a location or repository constraint;
- include other languages or additional properties (e.g., creator, date).

If you prefer a different definition of “painting” (e.g., excluding certain subclasses), tell me and I will refine the query accordingly.

What are the paintings in the Bavarian State Painting Collections with labels in German that end in ")"?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What are the paintings in the Bavarian State Painting Collections with labels in German that end in ")"?

[Assistant] I will search Wikidata for the entity corresponding to the "Bavarian State Painting Collections" to find its identifier. I'll run a search for that exact phrase.

[Tool]
Top 10 entity alternatives:
1. Bavarian State Painting Collections (wd:Q812285), also known as Bayerische Staatsgemäldesammlungen, BStGS, Centralgemäldegaleriedirektion: artworks held by the Free State of Bavaria for Alte Pinakothek, Aschaffenburg, Bamberg, Bayreuth, Schleissheim and others / is instance of art collection / is instance of art gallery / is instance of art museum / is instance of Art museum
2. Bavarian State Painting Collections Online Collection (wd:Q111321393), also known as Online Collection of the Bavarian State Painting Collections: is instance of online collection / is instance of online database
3. Five Paintings from the Bavarian State Paintings Collections (wd:Q115038818): 1976–1978 Exhibition at Metropolitan Museum / is instance of art exhibition
4. locations of the Bavarian State Painting Collections with works not on display (wd:Q29343881), also known as BStGS depot: is instance of museum storage
5. Bavarian State Library (wd:Q256507), also known as Bayerische Staatsbibliothek, Bibliotheca Regia Monacensis, BSB, bsb-muenchen.de: is instance of United Nations Depository Library / state library of the Free State of Bavaria / is instance of state library of Germany / is instance of universal library / is instance of reference library / is instance of research library / is instance of state library
6. Bavarian State Opera (wd:Q681931): opera company in Munich, Germany / is instance of opera company
7. Bavarian State Brewery Weihenstephan (wd:Q812294), also known as Weihenstephaner: is instance of Brewery / is instance of brewery / brewery
8. 2018 Bavarian state election (wd:Q19833920), also known as 2018 Bavaria state election: is instance of state election in Bavaria / state election in Bavaria, Germany
9. Bavarian State Orchestra (wd:Q683117), also known as Bavarian State Opera Orchestra: is instance of orchestra / orchestra
10. 2013 Bavarian state election (wd:Q1250713), also known as 2013 Bavaria state election: is instance of state election in Bavaria / state election in Bavaria, Germany

[Assistant] I'll search for the Wikidata item for "painting" to verify the correct identifier for instance of paintings.

[Tool]
Top 10 entity alternatives:
1. art of painting (wd:Q11629, matched via painting), also known as painting, to paint: practice of applying paint, pigment, colour or other medium to a surface / practice of applying paint, pigment, color or other medium to a surface / is instance of type of arts / is subclass of visual arts / is subclass of activity / is instance of method / is instance of hobby
2. painting (wd:Q3305213), also known as painting (object), paintings: visual artwork, surface artistically covered with paint / visual artwork, surface artistically covered with paint / is subclass of two-dimensional visual artwork / surface artistically covered with paint / is instance of type of work of art / is subclass of work of art / is subclass of Work of art
3. painting (wd:Q3374341): The application of paint to a surface primarily for protection or to apply a general color. / is subclass of activity
4. The Eight (wd:Q652003, matched via Painting), also known as Painting: is instance of art group / Hungarian art group
5. The Painting (wd:Q617969, matched via Painting), also known as Le Tableau, Painting: 2011 film by Jean-François Laguionie / is instance of animated film
6. Painting (wd:Q2898215), also known as Painting 1946: painting by Francis Bacon / painting by Francis Bacon / is instance of painting
7. Painting (wd:Q7125071): 2013 album by Ocean Colour Scene / is instance of album
8. Painting (wd:Q12898771): painting by Louis-Jean-François Lagrenée / painting by Louis-Jean-François Lagrenée / is instance of painting
9. Painting (wd:Q10349893): painting by Amadeo de Souza Cardoso / painting by Amadeo de Souza-Cardoso / is instance of painting
10. Loxstedter Totentanz (wd:Q1872652, matched via painting), also known as painting: ceiling painting in the St.-Marien church in Loxstedt, Niedersachsen / is instance of ceiling painting

[Assistant] I will retrieve properties of the Bavarian State Painting Collections item to find how works held by it are linked — likely via "collection" (P195) or "owned by" (P127). I'll list statements for this item.

[Tool]
Got 349 rows and 3 columns, showing the first 10 rows below:
| subject                                          | property                                                    | object                                                                                |
| ------------------------------------------------ | ----------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- |
| Bavarian State Painting Collections (wd:Q812285) | instance of (wdt:P31)                                       | art museum (wd:Q207694)                                                                                |
| Bavarian State Painting Collections (wd:Q812285) | country (wdt:P17)                                           | Germany (wd:Q183)                                                                                |
| Bavarian State Painting Collections (wd:Q812285) | located in the administrative territorial entity (wdt:P131) | Munich (wd:Q1726)                                                                                |
| Bavarian State Painting Collections (wd:Q812285) | coordinate location (wdt:P625)                              | POINT(11.571776 48.149583) (geo:wktLiteral)                                                                                |
| Bavarian State Painting Collections (wd:Q812285) | Commons category (wdt:P373)                                 | Bayerische Staatsgemäldesammlungen                                                                                |
| Bavarian State Painting Collections (wd:Q812285) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Direktion%20der%20Bayerischen%20Staatsgem%C3%A4ldesammlungen%20-%20Schild%20cut.jpg> |
| Bavarian State Painting Collections (wd:Q812285) | Freebase ID (wdt:P646)                                      | /m/03cw5l6                                                                                |
| Bavarian State Painting Collections (wd:Q812285) | inception (wdt:P571)                                        | 1777-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| Bavarian State Painting Collections (wd:Q812285) | VIAF cluster ID (wdtn:P214)                                 | <http://viaf.org/viaf/149456767>                                                                                |
| Bavarian State Painting Collections (wd:Q812285) | described at URL (wdt:P973)                                 | <https://web.archive.org/web/20150906144308/http://www.pinakothek.de/sites/default/files/files/BStGS_A-E(2).pdf>                         |
| ...                                              | ...                                                         | ...                                                                                |

[Assistant] I'll run a SPARQL query to find items that have collection (P195) Bavarian State Painting Collections (Q812285), are instance of painting (Q3305213) (or subclass), and have a German rdfs:label that ends with ")". I'll require the German label and use STRENDS to check it ends with ")". Now I'll execute that query.

[Tool]
Got 2,365 rows and 2 columns, showing the first 5 and last 5 rows below:
| item         | deLabel                                                |
| ------------ | ------------------------------------------------------ |
| wd:Q30088430 | 1/85 (= die erste fertige Arbeit 1985) (de)            |
| wd:Q30085523 | 21.5.86 (1) (de)                                       |
| wd:Q30088435 | 28. Malaktion (Kreuzwegstation) (de)                   |
| wd:Q30084680 | 83/84 . (1985) (de)                                    |
| wd:Q30094421 | Abendlandschaft (Art des) (de)                         |
| ...          | ...                                                    |
| wd:Q30072452 | Zwei Jünglingsakte (Kl. Triptychon, rechter Teil) (de) |
| wd:Q30057118 | Zwei Löwen als Wappentiere (Fragment) (de)             |
| wd:Q29951706 | Zwei Löwen als Wappentiere (Fragment) (de)             |
| wd:Q30080290 | Zwei Mädchen im Boot (Motiv vom Bodensee) (de)         |
| wd:Q30095492 | Zwei Pferde im Stall (?) (de)                          |

[Assistant]
I'll run a final SPARQL query that:

- selects items that are in the Bavarian State Painting Collections (wd:Q812285) via property P195 (collection),
- ensures the item is an instance of a painting (wd:Q3305213) or an instance of a subclass of painting by following P31 then P279*,
- retrieves the German rdfs:label and filters labels whose string form ends with ")".

Below I provide the query and the results summary. Now I'll execute the query.

[Tool] Stopping