PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?item ?creator ?creatorBirthPlace ?inventoryNumber ?image WHERE {
  ?item wdt:P195 wd:Q3329624 ; wdt:P170 ?creator ; wdt:P217 ?inventoryNumber .
  OPTIONAL {
    ?item wdt:P18 ?image .
  }
  ?creator wdt:P19 ?creatorBirthPlace .
  ?creatorBirthPlace wdt:P131 + wd:Q12130 .
}

The items in the collection of the Musée d'art et d'histoire de Saint-Brieuc whose creators were born in Brittany (wd:Q12130) are returned as Wikidata IDs, along with their creators, the creators' places of birth, inventory numbers, and images (if available).

What are the items in the collection of the Musée d'art et d'histoire de Saint-Brieuc, along with the items of their creators, the items of the creators' places of birth in Brittany, their inventory numbers, and images (if available)?

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian with notes:
1. For P39 legislative memberships, filter by pq:P2937 (legislative term) on the p:P39 statement; don’t use P793 for term filtering. For UK MPs, avoid a generic Q16707842-only scan; rely on term qualifiers and proper date overlap on pq:P580/pq:P582.
2. For residence (P551), time bounds are qualifiers on the statement: p:P551/ps:P551 place, pq:P580 start, pq:P582 end. To include containing areas (e.g., NYC boroughs), expand via wdt:P551/wdt:P131*. Durations usually need client-side calc on QLever.
3. Ticker symbols are pq:P249 on p:P414 statements; query via the statement node (?org p:P414 ?st . ?st ps:P414 ?ex ; pq:P249 ?ticker). Use VALUES to pre-limit orgs/exchanges. Don’t expect wdt:P249 on the org. Prefer qualifiers for time-bound tickers.
4. Archives: use p:P485/ps:P485 for the holding institution. Inventory numbers are qualifiers pq:P217 on that P485 statement. Don’t expect wdt:P217 directly on the person/work. “Archive descriptions” may be separate collection items (P195).
5. When listing contained municipalities or similar, prefer wdt:P150* (has parts) from the parent to enumerate children, then join other relations (e.g., twin towns via wdt:P190). Avoid broad wdt:P131+ scans from children; they are slow and can timeout.
6. On QLever, avoid SERVICE wikibase:label (frequent 301). Use OPTIONAL rdfs:label with LANG filters or fetch QIDs then labels separately. For property mapping, (?prop wikibase:directClaim ?p). Pre-limit with subselect/VALUES to avoid timeouts.
7. Employer constraints: to find people employed by UN or international orgs, use wdt:P108 directly for UN (wd:Q1065), or traverse employer to part of (wdt:P361*) UN, or employer wdt:P31 wd:Q484652 (international organization). Combine with other occupations.
8. For sports/events/editions, prefer explicit edition items (e.g., Q47345468) with wdt:P361 linking to the parent series/tour and filter by wdt:P585/P571 for year; avoid P641/P2139 that model sports played or participants, not the edition metadata.
9. For author/creator queries, use occupation wdt:P106 (e.g., author/writer) rather than P31 typing. To list works, prefer the reverse path ^wdt:P50 ?work; P800 (notable work) is incomplete and curated, not a full bibliography.
10. Awards: use p:P166/ps:P166 and constrain award via wdt:P31/wdt:P279* to a target class (e.g., Cannes awards Q28444913). Recipients can be films or people; don’t assume film-specific properties exist. Count/group by recipient type if needed.
11. To select current/active codes or memberships on QLever, use statement nodes (p:/ps:) and MINUS { ?st pq:P582 [] }. For time series counts (e.g., daily members), generate a date series (VALUES/UNNEST), then test overlap with pq:P580/pq:P582 per date.
12. For people’s native names, use wdt:P1559 (name in native language) on the person, not rdfs:label. Return multiple if multiple native languages exist; pick a preferred language client-side if needed.
13. For multi-valued props (e.g., P1082), GROUP BY entity and aggregate (MAX/MIN/SAMPLE) to avoid duplicates; DISTINCT won’t collapse multiple statements. For category/gender counts, prefer indicator sums: SUM(IF(cond,1,0)) over COUNT on OPTIONAL vars.
14. Avoid SERVICE wikibase:label on QLever; it often 301s. Use OPTIONAL rdfs:label with LANG filters, or fetch QIDs first and labels in a follow-up. Pre-limit with subselect/VALUES to avoid timeouts when joining many labels.
15. For P551 duration comparisons, avoid unsupported date arithmetic. If needed, compute overlaps client-side. On-endpoint, you can only compare presence/counts or use simple MIN/MAX of dates (casting and arithmetic are limited in QLever).
16. When excluding specific entities from a relation (e.g., siblings), use FILTER to drop explicit QIDs or FILTER NOT EXISTS with a VALUES list. Ensure you use the exact sibling QIDs returned by the KG, not assumed ones.

General notes for all knowledge graphs:
1. When checking date interval overlaps, handle open intervals (missing start/end) and use xsd:dateTime. Use OR conditions to cover start within, end within, or spanning the whole range.
2. For P39 queries, qualifiers (e.g., P2937 term, P768 electoral district, P4100 parliamentary group) live on the p:P39 statement node. Do not expect them as wdt: properties on the person or use ps: for non-main values.
3. To get sitelink counts, use wikibase:sitelinks on the entity; it returns a single numeric value, so GROUP BY the entity and avoid COUNT over ?sitelink.
4. Use subclass expansion for types: wdt:P31/wdt:P279* target (e.g., dams, educational institutions). This captures items modeled with subclasses.
5. For locations, prefer hierarchies via wdt:P131+ to reach a containing region/state, and wdt:P17 for country. If HQ is a building, P159 ps points to a city; specific site is qualifier pq:P276 on the P159 statement.
6. When excluding or selecting by a legislative term on P39, check pq:P2937 on the relevant statement. Use FILTER NOT EXISTS over p:P39 with ps:P39 target and pq:P2937 value to exclude a term.
7. QLever endpoints may not support Wikidata’s “WITH {…} AS %name” and “INCLUDE %name” syntax. Avoid named subqueries; use nested SELECTs or VALUES instead.
8. The wikibase:label SERVICE often fails on QLever. Prefer rdfs:label with FILTER(LANG(..)="en") or get QIDs only and resolve labels client-side.
9. Avoid COUNT over OPTIONAL variables that may be unbound for all rows; prefer EXISTS/BOUND checks or aggregate over DISTINCT entities to prevent misleading zeros.
10. On QLever, heavy OPTIONAL label/property joins often time out. Pre-limit with a subselect/VALUES over IDs (ORDER BY + LIMIT), then join labels/properties. Or fetch QIDs first and labels in a second, smaller query.
11. For precise date filtering on Wikidata (birth/death), prefer p/psv time nodes and wikibase:timeValue plus timePrecision checks over wdt:P569/P570 to include values with year/month precision and avoid silent drops.
12. When filtering by exact day of birth or event, avoid STRSTARTS on wdt:P569; instead bound an interval [day, next day) with xsd:dateTime to include all precisions. On QLever, add hint:Prior hint:rangeSafe true to improve performance on time ranges.

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 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.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. 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.

[User] What are the items in the collection of the Musée d'art et d'histoire de Saint-Brieuc, along with the items of their creators, the items of the creators' places of birth in Brittany, their inventory numbers, and images (if available)?

[Assistant]
Let's break down the question and identify the entities and properties involved:

1. The Musée d'art et d'histoire de Saint-Brieuc is the collection-holding institution.
2. We want items in its collection.
   - The property for "collection" or "held by" is likely P195 or P485.
   - We need to verify which is correct for "items in the collection of an institution."
3. For each item:
   - The creator (likely P170).
   - The creator's place of birth (P19).
   - The place of birth should be in Brittany (need to identify Brittany's QID and use wdt:P131+ for containment).
   - The inventory number (P217, as a qualifier on the collection statement).
   - The image (P18).

First, let's search for the entity for the Musée d'art et d'histoire de Saint-Brieuc.

[Tool]
Top 10 entity alternatives:
1. Musée d'art et d'histoire de Saint-Brieuc, also known as Musée de Saint-Brieuc, Saint Brieuc Museum of Art and History, Musee de Saint-Brieuc (wd:Q3329624): museum in Saint-Brieuc, France, instance of museum building, instance of museum
2. Musée d'Art et d'Histoire de Geneva, also known as Museum of Art and Design Geneva, MAHG (wd:Q679075): instance of memory institution, museum in Geneva, Switzerland, instance of history museum, instance of art museum
3. Musée d'Art et d'Histoire, also known as Museum of Art and History, Musée d'art et d'histoire de Neuchâtel (wd:Q3329620): museum building in the city of Neuchâtel, Switzerland, instance of memory institution, instance of museum building, instance of history museum, instance of art museum
4. musée d'art et d'histoire de Saint-Denis (wd:Q3329627): museum in Saint-Denis, France, instance of art museum
5. Musée d'art et d'histoire de Narbonne (wd:Q3329619): museum in Narbonne, France, instance of art museum
6. musée d'art et d'histoire de Lisieux (wd:Q3329623): museum in Lisieux, France, instance of art museum
7. Musée d'Art et d'Histoire de Cholet (wd:Q3329613): museum in Cholet, France, instance of art museum
8. musée Hèbre de Saint-Clément, also known as musée d'art et d'histoire de Rochefort, Musée Hèbre de St Clément (wd:Q3329202): instance of museum, museum in France
9. Musée d'art et d'histoire de Conflans (wd:Q21590086): instance of museum, museum in France
10. Musée d'Art et d'Histoire de Chaumont (wd:Q23021635): instance of museum, museum in France

[Assistant]
The correct entity for the Musée d'art et d'histoire de Saint-Brieuc is wd:Q3329624.

Next, let's determine the correct property for "items in the collection of" or "held by" this museum. The two main candidates are:
- P195 ("collection")
- P485 ("archives at")

Let's check how P195 and P485 are used with this museum.

[Tool]
Got 293 rows and 3 columns, showing the first 10 rows below:
| subject                                                | property              | object                                                  |
| ------------------------------------------------------ | --------------------- | ------------------------------------------------------- |
| Les premières armes de Marbot (wd:Q110937344)          | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| wd:Q132643629                                          | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| wd:Q132643841                                          | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| wd:Q132643889                                          | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| wd:Q132644506                                          | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| wd:Q132645204                                          | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| wd:Q132762900                                          | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| wd:Q132763408                                          | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| wd:Q132763936                                          | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| Une chapelle de pêcheurs près de Plouha (wd:Q17496012) | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| ...                                                    | ...                   | ...                                                     |

[Assistant]
Property P195 ("collection") is used to indicate items in the collection of the Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624).

Now, let's check how to get the inventory number for these items. P217 ("inventory number") is usually a qualifier on the P195 statement.

Let's verify this by listing qualifiers for one of the items, e.g., wd:Q110937344.

[Tool]
Got 50 rows and 3 columns, showing the first 10 rows below:
| subject                                       | property                      | object                                                                                |
| --------------------------------------------- | ----------------------------- | ------------------------------------------------------------------------------------------------------------------------------- |
| Les premières armes de Marbot (wd:Q110937344) | instance of (wdt:P31)         | painting (wd:Q3305213)                                                                                |
| Les premières armes de Marbot (wd:Q110937344) | country (wdt:P17)             | France (wd:Q142)                                                                                |
| Les premières armes de Marbot (wd:Q110937344) | image (wdt:P18)               | <http://commons.wikimedia.org/wiki/Special:FilePath/Andr%C3%A9%20Marchand%20-%20Les%20premi%C3%A8res%20armes%20de%20Marbot.jpg> |
| Les premières armes de Marbot (wd:Q110937344) | copyright status (wdt:P6216)  | public domain (wd:Q19652)                                                                                |
| Les premières armes de Marbot (wd:Q110937344) | location (wdt:P276)           | Musée Massey (wd:Q3329271)                                                                                |
| Les premières armes de Marbot (wd:Q110937344) | inception (wdt:P571)          | 1897-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| Les premières armes de Marbot (wd:Q110937344) | collection (wdt:P195)         | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624)                                                                         |
| Les premières armes de Marbot (wd:Q110937344) | made from material (wdt:P186) | oil paint (wd:Q296955)                                                                                |
| Les premières armes de Marbot (wd:Q110937344) | genre (wdt:P136)              | history painting (wd:Q742333)                                                                                |
| Les premières armes de Marbot (wd:Q110937344) | inventory number (wdt:P217)   | 186                                                                                |
| ...                                           | ...                           | ...                                                                                |

[Assistant]
The inventory number (P217) is available as a direct property for this item, not just as a qualifier. The image (P18) is also present.

Next, let's check how to get the creator (P170) for such an item.

[Tool]
Got 50 rows and 3 columns, showing the first 10 rows below:
| subject                                       | property                      | object                                                                                |
| --------------------------------------------- | ----------------------------- | ------------------------------------------------------------------------------------------------------------------------------- |
| Les premières armes de Marbot (wd:Q110937344) | instance of (wdt:P31)         | painting (wd:Q3305213)                                                                                |
| Les premières armes de Marbot (wd:Q110937344) | country (wdt:P17)             | France (wd:Q142)                                                                                |
| Les premières armes de Marbot (wd:Q110937344) | image (wdt:P18)               | <http://commons.wikimedia.org/wiki/Special:FilePath/Andr%C3%A9%20Marchand%20-%20Les%20premi%C3%A8res%20armes%20de%20Marbot.jpg> |
| Les premières armes de Marbot (wd:Q110937344) | copyright status (wdt:P6216)  | public domain (wd:Q19652)                                                                                |
| Les premières armes de Marbot (wd:Q110937344) | location (wdt:P276)           | Musée Massey (wd:Q3329271)                                                                                |
| Les premières armes de Marbot (wd:Q110937344) | inception (wdt:P571)          | 1897-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| Les premières armes de Marbot (wd:Q110937344) | collection (wdt:P195)         | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624)                                                                         |
| Les premières armes de Marbot (wd:Q110937344) | made from material (wdt:P186) | oil paint (wd:Q296955)                                                                                |
| Les premières armes de Marbot (wd:Q110937344) | genre (wdt:P136)              | history painting (wd:Q742333)                                                                                |
| Les premières armes de Marbot (wd:Q110937344) | inventory number (wdt:P217)   | 186                                                                                |
| ...                                           | ...                           | ...                                                                                |

[Tool]
Top 10 property alternatives:
1. creator, also known as art by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt/p): maker of this creative work or other object (where no more specific property exists)
2. inception, also known as inception date, founding date, founded in, founded on date, founded on (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, subproperty of start time
3. instance of, also known as example of, has type, is a, is an, is of type (wd:P31 as wdt/p): type to which this subject corresponds/belongs. Different from P...tains, and the volcano is a type (instance) of volcanic landform
4. copyright status, also known as copyright restriction, copyrighted (wd:P6216 as wdt/p): copyright status for intellectual creations like works of art, publications, software, etc.
5. made from material, also known as made of, material used, manufactured out of, manufactured from, made of material (wd:P186 as wdt/p): material the subject or the object is made of or derived from (do not confuse with P10672 which is used for processes), subproperty of uses
6. depicts, also known as reproduces, portrays, represents, quotes, preserves (wd:P180 as wdt/p): entity visually depicted in an image, literarily described in a ...o an audiovisual or other medium; see also P921,  'main subject', subproperty of has part(s)
7. genre, also known as type of music, type of film, music genre, literary genre, kind of music (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic

No other items found

[Assistant]
The property for creator is P170.

Now, for the creator's place of birth, we use P19. We want only those creators whose place of birth is in Brittany. Let's find the QID for Brittany.

[Tool]
Top 10 entity alternatives:
1. Brittany (wd:Q327): cultural area located in northwestern France, instance of historical country, instance of historical region, instance of cultural region
2. Brittany, also known as Breizh, Region of Brittany, FR-BZH, BZH, Bretagne (wd:Q12130): administrative region of France, instance of region of France
3. Duchy of Brittany, also known as Duché de Bretagne, Dugelezh Breizh, Brittany, Bretagne (wd:Q71747)
4. Brittany, also known as Bretagnenspanieli, Spaniel bretón, Spaniel breton, Spaniel bretão, French Brittany (wd:Q38156): instance of dog breed, dog breed
5. 51599 Brittany, also known as Brittany (wd:Q582528): instance of asteroid, asteroid
6. Brittany, also known as Brittany (given name), Brittany (first name) (wd:Q1509566): instance of female given name, female given name
7. Brittany (wd:Q11832360): instance of peninsula, peninsula in France
8. Brittany, also known as Brittany, Louisiana, Brittany, LA (wd:Q17986092): instance of unincorporated community in the United States, human settlement in United States of America
9. Brittany (wd:Q36912681): instance of family name, family name
10. Brittaney Starr, also known as Brittany Starr, Brittnay Star, Brittney Starr, Brittany, Jasmineva Brown (wd:Q43381438): American pornographic actress and director, pornographic film director, pornographic actor, instance of human, film director

[Assistant]
There are two main QIDs for Brittany:
- wd:Q327 (cultural/historical region)
- wd:Q12130 (current administrative region of France)

For "place of birth in Brittany," the administrative region (wd:Q12130) is most appropriate for contemporary queries.

Now, to ensure we include all places within Brittany, we should use wdt:P131+ (located in the administrative territorial entity, recursively) to check if the place of birth is in Brittany.

Now, let's summarize the plan for the SPARQL query:
- Find items with wdt:P195 wd:Q3329624.
- For each item, get:
  - The creator (wdt:P170).
  - The creator's place of birth (wdt:P19), which must be in Brittany (wd:Q12130) via wdt:P131+.
  - The inventory number (wdt:P217).
  - The image (wdt:P18, if available).

Let's build the SPARQL query accordingly.

[Tool]
Got 46 rows and 5 columns, showing the first 5 and last 5 rows below:
| item                                                | creator                               | creatorBirthPlace          | inventoryNumber | image                                                                                |
| --------------------------------------------------- | ------------------------------------- | -------------------------- | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| wd:Q43306481                                        | Édouard Hostein (wd:Q3579887)         | Pléhédel (wd:Q1021795)     | DOC 215         |                                                                                |
| wd:Q43306473                                        | Édouard Hostein (wd:Q3579887)         | Pléhédel (wd:Q1021795)     | 21              | <http://commons.wikimedia.org/wiki/Special:FilePath/Ruines-du-chateau-de-chabrillan-edouard-hostein-musee-d-art-et-d-histoire-de-saint-brieuc-doc-21-cropped.jpg>                                                    |
| wd:Q43306714                                        | Édouard Hostein (wd:Q3579887)         | Pléhédel (wd:Q1021795)     | DOC 83          | <http://commons.wikimedia.org/wiki/Special:FilePath/Autoportrait%20-%20%C3%89douard%20Hostein%20-%20mus%C3%A9e%20d%27art%20et%20d%27histoire%20de%20Saint-Brieuc%2C%20DOC%2083.jpg>                                  |
| Coteaux de Suresnes, arbres en fleur (wd:Q43306342) | Joseph Le Pan de Ligny (wd:Q47501189) | Guignen (wd:Q1074650)      | DOC 125         | <http://commons.wikimedia.org/wiki/Special:FilePath/Coteaux-de-suresnes-arbres-en-fleur-joseph-le-pan-de-ligny-musee-d-art-et-d-histoire-de-saint-brieuc-doc-125-cropped.jpg>                                        |
| Entrée de la rade de Toulon (wd:Q43306458)          | Pierre-Julien Gilbert (wd:Q3383240)   | Brest (wd:Q12193)          | DOC 199         | <http://commons.wikimedia.org/wiki/Special:FilePath/Entr%C3%A9e%20de%20la%20rade%20de%20Toulon%20-%20Pierre-Julien%20Gilbert%20-%20mus%C3%A9e%20d%27art%20et%20d%27histoire%20de%20Saint-Brieuc%2C%20DOC%20199b.jpg> |
| ...                                                 | ...                                   | ...                        | ...             | ...                                                                                |
| wd:Q43306751                                        | Yves Floc'h (wd:Q15408485)            | Plouguerneau (wd:Q477749)  | DOC 96          |                                                                                |
| wd:Q43306678                                        | Jean-Édouard Dargent (wd:Q3571485)    | Saint-Servais (wd:Q632839) | DOC 77          | <http://commons.wikimedia.org/wiki/Special:FilePath/Le-scorff-brizeux-et-marie-yan-dargent-musee-d-art-et-d-histoire-de-saint-brieuc-doc-77-cropped.jpg>                                                             |
| wd:Q43306689                                        | Emmanuel Fougerat (wd:Q3052700)       | Rennes (wd:Q647)           | DOC 82          |                                                                                |
| wd:Q43306333                                        | Louis Garin (wd:Q3262004)             | Rennes (wd:Q647)           | DOC 123         |                                                                                |
| wd:Q43306572                                        | André Coupé (wd:Q33429830)            | Plancoët (wd:Q868439)      | DOC 285         |                                                                                |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?constituency ( COUNT( DISTINCT ?mp ) AS ?actualSeats ) ?expectedSeats ( SAMPLE( ?constLabel ) AS ?constituencyLabel ) WHERE {
  ?mp p:P39 ?statement .
  ?statement ps:P39 wd:Q41582584 ; pq:P2937 wd:Q21084449 ; pq:P768 ?constituency .
  OPTIONAL {
    ?constituency wdt:P1342 ?expectedSeats
  }
  OPTIONAL {
    ?constituency rdfs:label ?constLabel FILTER ( LANG( ?constLabel ) = "en" )
  }
}
GROUP BY ?constituency ?expectedSeats
HAVING ( COUNT( DISTINCT ?mp ) > 1 )
ORDER BY DESC ( ?actualSeats )

Got 34 rows and 4 columns, showing the first 5 and last 5 rows below:
| constituency                                 | actualSeats | expectedSeats | constituencyLabel                   |
| -------------------------------------------- | ----------- | ------------- | ----------------------------------- |
| Combined Scottish Universities (wd:Q5150880) | 3 (xsd:int) |               | Combined Scottish Universities (en) |
| Oldham (wd:Q7085618)                         | 2 (xsd:int) |               | Oldham (en)                         |
| Down (wd:Q5302778)                           | 2 (xsd:int) |               | Down (en)                           |
| Dundee (wd:Q5314798)                         | 2 (xsd:int) |               | Dundee (en)                         |
| Fermanagh and Tyrone (wd:Q5444374)           | 2 (xsd:int) |               | Fermanagh and Tyrone (en)           |
| ...                                          | ...         | ...           | ...                                 |
| Newcastle upon Tyne East (wd:Q42114997)      | 2 (xsd:int) |               | Newcastle upon Tyne East (en)       |
| Ludlow (wd:Q3336884)                         | 2 (xsd:int) |               | Ludlow (en)                         |
| Southampton (wd:Q11797285)                   | 2 (xsd:int) |               | Southampton (en)                    |
| Darlington (wd:Q1072896)                     | 2 (xsd:int) |               | Darlington (en)                     |
| Berwick-upon-Tweed (wd:Q1072626)             | 2 (xsd:int) |               | Berwick-upon-Tweed (en)             |

The constituencies for elected members of the 32nd Parliament of the United Kingdom with more than one actual seat are listed above. For each, the actual number of seats is shown (all are 2 except Combined Scottish Universities, which has 3). Expected number of seats is not available in the data for these constituencies.

What are the constituencies for elected members of the 32nd Parliament of the United Kingdom, along with the expected number of seats (if available) and the actual number of seats? Only include constituencies where the actual number of seats is greater than 1.

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian with notes:
1. For P39 legislative memberships, filter by pq:P2937 (legislative term) on the p:P39 statement; don’t use P793 for term filtering. For UK MPs, avoid a generic Q16707842-only scan; rely on term qualifiers and proper date overlap on pq:P580/pq:P582.
2. For residence (P551), time bounds are qualifiers on the statement: p:P551/ps:P551 place, pq:P580 start, pq:P582 end. To include containing areas (e.g., NYC boroughs), expand via wdt:P551/wdt:P131*. Durations usually need client-side calc on QLever.
3. Ticker symbols are pq:P249 on p:P414 statements; query via the statement node (?org p:P414 ?st . ?st ps:P414 ?ex ; pq:P249 ?ticker). Use VALUES to pre-limit orgs/exchanges. Don’t expect wdt:P249 on the org. Prefer qualifiers for time-bound tickers.
4. Archives: use p:P485/ps:P485 for the holding institution. Inventory numbers are qualifiers pq:P217 on that P485 statement. Don’t expect wdt:P217 directly on the person/work. “Archive descriptions” may be separate collection items (P195).
5. When listing contained municipalities or similar, prefer wdt:P150* (has parts) from the parent to enumerate children, then join other relations (e.g., twin towns via wdt:P190). Avoid broad wdt:P131+ scans from children; they are slow and can timeout.
6. On QLever, avoid SERVICE wikibase:label (frequent 301). Use OPTIONAL rdfs:label with LANG filters or fetch QIDs then labels separately. For property mapping, (?prop wikibase:directClaim ?p). Pre-limit with subselect/VALUES to avoid timeouts.
7. Employer constraints: to find people employed by UN or international orgs, use wdt:P108 directly for UN (wd:Q1065), or traverse employer to part of (wdt:P361*) UN, or employer wdt:P31 wd:Q484652 (international organization). Combine with other occupations.
8. For sports/events/editions, prefer explicit edition items (e.g., Q47345468) with wdt:P361 linking to the parent series/tour and filter by wdt:P585/P571 for year; avoid P641/P2139 that model sports played or participants, not the edition metadata.
9. For author/creator queries, use occupation wdt:P106 (e.g., author/writer) rather than P31 typing. To list works, prefer the reverse path ^wdt:P50 ?work; P800 (notable work) is incomplete and curated, not a full bibliography.
10. Awards: use p:P166/ps:P166 and constrain award via wdt:P31/wdt:P279* to a target class (e.g., Cannes awards Q28444913). Recipients can be films or people; don’t assume film-specific properties exist. Count/group by recipient type if needed.
11. To select current/active codes or memberships on QLever, use statement nodes (p:/ps:) and MINUS { ?st pq:P582 [] }. For time series counts (e.g., daily members), generate a date series (VALUES/UNNEST), then test overlap with pq:P580/pq:P582 per date.
12. For people’s native names, use wdt:P1559 (name in native language) on the person, not rdfs:label. Return multiple if multiple native languages exist; pick a preferred language client-side if needed.
13. For multi-valued props (e.g., P1082), GROUP BY entity and aggregate (MAX/MIN/SAMPLE) to avoid duplicates; DISTINCT won’t collapse multiple statements. For category/gender counts, prefer indicator sums: SUM(IF(cond,1,0)) over COUNT on OPTIONAL vars.
14. Avoid SERVICE wikibase:label on QLever; it often 301s. Use OPTIONAL rdfs:label with LANG filters, or fetch QIDs first and labels in a follow-up. Pre-limit with subselect/VALUES to avoid timeouts when joining many labels.
15. For P551 duration comparisons, avoid unsupported date arithmetic. If needed, compute overlaps client-side. On-endpoint, you can only compare presence/counts or use simple MIN/MAX of dates (casting and arithmetic are limited in QLever).
16. When excluding specific entities from a relation (e.g., siblings), use FILTER to drop explicit QIDs or FILTER NOT EXISTS with a VALUES list. Ensure you use the exact sibling QIDs returned by the KG, not assumed ones.

General notes for all knowledge graphs:
1. When checking date interval overlaps, handle open intervals (missing start/end) and use xsd:dateTime. Use OR conditions to cover start within, end within, or spanning the whole range.
2. For P39 queries, qualifiers (e.g., P2937 term, P768 electoral district, P4100 parliamentary group) live on the p:P39 statement node. Do not expect them as wdt: properties on the person or use ps: for non-main values.
3. To get sitelink counts, use wikibase:sitelinks on the entity; it returns a single numeric value, so GROUP BY the entity and avoid COUNT over ?sitelink.
4. Use subclass expansion for types: wdt:P31/wdt:P279* target (e.g., dams, educational institutions). This captures items modeled with subclasses.
5. For locations, prefer hierarchies via wdt:P131+ to reach a containing region/state, and wdt:P17 for country. If HQ is a building, P159 ps points to a city; specific site is qualifier pq:P276 on the P159 statement.
6. When excluding or selecting by a legislative term on P39, check pq:P2937 on the relevant statement. Use FILTER NOT EXISTS over p:P39 with ps:P39 target and pq:P2937 value to exclude a term.
7. QLever endpoints may not support Wikidata’s “WITH {…} AS %name” and “INCLUDE %name” syntax. Avoid named subqueries; use nested SELECTs or VALUES instead.
8. The wikibase:label SERVICE often fails on QLever. Prefer rdfs:label with FILTER(LANG(..)="en") or get QIDs only and resolve labels client-side.
9. Avoid COUNT over OPTIONAL variables that may be unbound for all rows; prefer EXISTS/BOUND checks or aggregate over DISTINCT entities to prevent misleading zeros.
10. On QLever, heavy OPTIONAL label/property joins often time out. Pre-limit with a subselect/VALUES over IDs (ORDER BY + LIMIT), then join labels/properties. Or fetch QIDs first and labels in a second, smaller query.
11. For precise date filtering on Wikidata (birth/death), prefer p/psv time nodes and wikibase:timeValue plus timePrecision checks over wdt:P569/P570 to include values with year/month precision and avoid silent drops.
12. When filtering by exact day of birth or event, avoid STRSTARTS on wdt:P569; instead bound an interval [day, next day) with xsd:dateTime to include all precisions. On QLever, add hint:Prior hint:rangeSafe true to improve performance on time ranges.

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 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.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. 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.

[User] What are the constituencies for elected members of the 32nd Parliament of the United Kingdom, along with the expected number of seats (if available) and the actual number of seats? Only include constituencies where the actual number of seats is greater than 1.

[Assistant]
Let's break down the question:

1. **Target Parliament**: 32nd Parliament of the United Kingdom.
2. **Constituencies**: We want the constituencies (electoral districts) that had elected members in this parliament.
3. **Expected and Actual Seats**: For each constituency, if available, return the expected number of seats (sometimes modeled as "number of seats" or similar) and the actual number of seats (i.e., the number of MPs elected from that constituency in the 32nd Parliament).
4. **Filter**: Only include constituencies where the actual number of seats is greater than 1.

**Step 1: Identify the 32nd Parliament of the United Kingdom.**
I'll search for "32nd Parliament of the United Kingdom" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. 32nd Parliament of the United Kingdom, also known as 1922-1923 Parliament, 32nd UK Parliament (wd:Q21084449): instance of parliamentary term in the United Kingdom, Parliament of the United Kingdom, 1922-1923
2. member of the 32nd Parliament of the United Kingdom (wd:Q41582584)
3. 1st session of the 32nd Parliament of the United Kingdom (wd:Q108997479): instance of legislative session
4. 2nd session of the 32nd Parliament of the United Kingdom (wd:Q108997478): instance of legislative session
5. Parliament of the United Kingdom, also known as Parliament of the United Kingdom...eat Britain and Northern Ireland, U.K. Parliament, Parliament of Britain, UK Parliament, United Kingdom Parliament (wd:Q11010): supreme legislative body of the United Kingdom, instance of bicameral legislature, instance of parliament
6. Parliament of Great Britain, also known as Parliament of the United Kingdom of Great Britain, Parliament of the United Kingdom, British Parliament (wd:Q2739604): United English and Scottish parliament 1707–1800, instance of bicameral legislature, instance of parliament
7. Member of Parliament, also known as member of the UK parliament, member of the United Kingdom parliament, MP, UK MP, member of the House of Commons (wd:Q16707842)
8. Act of the Parliament of the United Kingdom, also known as Act of the United Kingdom Parliament, United Kingdom Act of Parliament, Act of Parliament of the United Kingdom (wd:Q4677783)
9. Dissolution of the Parliament of the United Kingdom (wd:Q5282804): instance of dissolution of parliament, British parliamentary procedure
10. 1st Parliament of the United Kingdom, also known as 1801-1802 Parliament, 1st UK Parliament (wd:Q21084405): instance of parliamentary term in the United Kingdom, Parliament of the United Kingdom, 1801–1802

[Assistant]
The entity for the 32nd Parliament of the United Kingdom is wd:Q21084449.

**Step 2: Find elected members (MPs) of this parliament and their constituencies.**
- MPs are modeled with P39 (position held) = Member of Parliament (wd:Q16707842), with a qualifier pq:P2937 for the parliamentary term (here wd:Q21084449).
- The constituency is given by the qualifier pq:P768 (electoral district) on the P39 statement.

**Step 3: For each constituency, count the number of MPs (actual seats) for this parliament.**
- Group by constituency, count MPs per constituency.

**Step 4: Find the expected number of seats for each constituency (if available).**
- This is often modeled as "number of seats" (P1342) on the constituency entity.

**Step 5: Filter for constituencies where the actual number of seats is greater than 1.**

Now, let's search for the relevant properties:
- P39: position held
- P2937: parliamentary term
- P768: electoral district
- P1342: number of seats

Let's verify "number of seats" (P1342) is correct.

[Tool]
Top 10 property alternatives:
1. number of seats, also known as quantity of members, seats (members), number of seats (members), membership quantity (wd:P1342 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): total number of seats/members in an assembly (legislative house or similar)
2. maximum capacity, also known as capacity, complement, crew, number of seats, seating capacity (wd:P1083 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): number of people allowed for a venue or vehicle
3. number of seats in assembly, also known as number of delegates, number of representatives, number of seats, seats (wd:P1410 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): number of seats a political party, faction, or group has in a given assembly
4. number of constituencies, also known as num_constituencies (wd:P4253 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): number of constituencies related to a legislative body
5. electoral district, also known as constituency, ward, seat, electorate, electoral area (wd:P768 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): electoral district this person is representing, or of the office... or "office contested" (P541) or "candidacy in election" (P3602)
6. capital, also known as principal place, seat of government, seat, location of capital, has capital (wd:P36 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): seat of government of a country, province, state or other type of administrative territorial entity
7. headquarters location, also known as headquarters locality, headquarters town, HQ, HQ location, location of headquarters (wd:P159 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, subproperty of significant place
8. member count, also known as membership, total members, number of members, count of members, amount of members (wd:P2124 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): number of entities that are part of an organization at a particular time
9. position held, also known as function, held position, holds position, job, office held (wd:P39 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): subject currently or formerly holds the object position or public office
10. candidate number, also known as candidate ID, election candidate number, ID of candidate, number of candidate (wd:P4243 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): number of the candidate in an election

[Assistant]
The property "number of seats" (wd:P1342) is correct for the expected number of seats in a constituency.

**Step 6: Build the SPARQL query.**

- For each person with P39 = MP (wd:Q16707842), with pq:P2937 = 32nd Parliament (wd:Q21084449), get pq:P768 (constituency).
- For each constituency, count the number of MPs (actual seats).
- Get the expected number of seats (wdt:P1342) for the constituency.
- Filter for actual seats > 1.
- Optionally, get the constituency label.

Let's write the query.

[Tool] Got no rows and 4 columns

[Assistant]
The query returned no rows, which suggests that either the modeling of MPs for the 32nd Parliament does not use the expected qualifiers, or the data is incomplete for this period.

Let's check if MPs for the 32nd Parliament (wd:Q21084449) are modeled with P39 and the parliamentary term qualifier (P2937). I'll look for any P39 statements with pq:P2937 = wd:Q21084449.

[Tool]
Got 632 rows and 3 columns, showing the first 10 rows below:
| subject                                           | property                      | object                                               |
| ------------------------------------------------- | ----------------------------- | ---------------------------------------------------- |
| s:Q10664-4A34B90E-D92F-4938-B3A9-97AACCE5FACF     | parliamentary term (pq:P2937) | 32nd Parliament of the United Kingdom (wd:Q21084449) |
| s:Q112242278-c3e09a29-42b2-588a-dd07-7771fdfd146a | parliamentary term (pq:P2937) | 32nd Parliament of the United Kingdom (wd:Q21084449) |
| s:Q1179483-BC3AF8C9-AC75-4675-912B-28A0258A0A02   | parliamentary term (pq:P2937) | 32nd Parliament of the United Kingdom (wd:Q21084449) |
| s:Q11802543-B4842F6E-BC26-4F0A-957B-79C5879E3EAC  | parliamentary term (pq:P2937) | 32nd Parliament of the United Kingdom (wd:Q21084449) |
| s:Q12064625-859029FB-B907-436F-9DE6-ADD9D780E678  | parliamentary term (pq:P2937) | 32nd Parliament of the United Kingdom (wd:Q21084449) |
| s:Q12356771-9B9F662D-E934-4496-B3BF-0DEDFE41E180  | parliamentary term (pq:P2937) | 32nd Parliament of the United Kingdom (wd:Q21084449) |
| s:Q1241043-24F329F5-1AAF-4C08-A17C-6501D5ED5AB5   | parliamentary term (pq:P2937) | 32nd Parliament of the United Kingdom (wd:Q21084449) |
| s:Q1241117-A5AABD68-8FB9-4340-9CE0-E1DBEC6D923D   | parliamentary term (pq:P2937) | 32nd Parliament of the United Kingdom (wd:Q21084449) |
| s:Q12702-213ECEAF-D4B3-44E4-A51A-04D9AB2E9BFA     | parliamentary term (pq:P2937) | 32nd Parliament of the United Kingdom (wd:Q21084449) |
| s:Q129006-93D50CA7-FC34-4519-9609-C8239BAFF22B    | parliamentary term (pq:P2937) | 32nd Parliament of the United Kingdom (wd:Q21084449) |
| ...                                               | ...                           | ...                                                  |

[Assistant]
There are indeed P39 statements with the parliamentary term qualifier for the 32nd Parliament. The subject is the statement node (e.g., s:Q10664-4A34B90E-D92F-4938-B3A9-97AACCE5FACF).

To get the constituency, I need to check if these statement nodes have the pq:P768 (electoral district) qualifier. Let's check for pq:P768 on one of these statement nodes, say s:Q10664-4A34B90E-D92F-4938-B3A9-97AACCE5FACF.

[Tool]
Got 14 rows and 3 columns, showing the first 10 rows below:
| subject                                       | property                       | object                                                             |
| --------------------------------------------- | ------------------------------ | ------------------------------------------------------------------ |
| s:Q10664-4A34B90E-D92F-4938-B3A9-97AACCE5FACF | position held (ps:P39)         | member of the 32nd Parliament of the United Kingdom (wd:Q41582584) |
| s:Q10664-4A34B90E-D92F-4938-B3A9-97AACCE5FACF | start time (pq:P580)           | 1922-11-15T00:00:00Z (xsd:dateTime)                                |
| s:Q10664-4A34B90E-D92F-4938-B3A9-97AACCE5FACF | end time (pq:P582)             | 1923-11-16T00:00:00Z (xsd:dateTime)                                |
| s:Q10664-4A34B90E-D92F-4938-B3A9-97AACCE5FACF | electoral district (pq:P768)   | Birmingham Ladywood (wd:Q1070050)                                  |
| s:Q10664-4A34B90E-D92F-4938-B3A9-97AACCE5FACF | parliamentary term (pq:P2937)  | 32nd Parliament of the United Kingdom (wd:Q21084449)               |
| s:Q10664-4A34B90E-D92F-4938-B3A9-97AACCE5FACF | parliamentary group (pq:P4100) | Conservative Party (wd:Q9626)                                      |
| s:Q10664-4A34B90E-D92F-4938-B3A9-97AACCE5FACF | elected in (pq:P2715)          | 1922 United Kingdom general election (wd:Q3084303)                 |
| s:Q10664-4A34B90E-D92F-4938-B3A9-97AACCE5FACF | end cause (pq:P1534)           | dissolution of parliament (wd:Q741182)                             |
| s:Q10664-4A34B90E-D92F-4938-B3A9-97AACCE5FACF | wikibase:rank                  | wikibase:NormalRank                                                |
| s:Q10664-4A34B90E-D92F-4938-B3A9-97AACCE5FACF | rdf:type                       | wikibase:BestRank                                                  |
| ...                                           | ...                            | ...                                                                |

[Assistant]
The statement node does have pq:P768 (electoral district), so the data is modeled as expected.

However, I noticed that the main value for ps:P39 is "member of the 32nd Parliament of the United Kingdom" (wd:Q41582584), not the generic "Member of Parliament" (wd:Q16707842). Let's confirm this for a few more statement nodes.

I'll check the value of ps:P39 for another statement node, e.g., s:Q112242278-c3e09a29-42b2-588a-dd07-7771fdfd146a.

[Tool]
Got 8 rows and 3 columns:
| subject                                           | property                      | object                                               |
| ------------------------------------------------- | ----------------------------- | ---------------------------------------------------- |
| s:Q112242278-c3e09a29-42b2-588a-dd07-7771fdfd146a | office contested (ps:P541)    | Member of Parliament (wd:Q16707842)                  |
| s:Q112242278-c3e09a29-42b2-588a-dd07-7771fdfd146a | electoral district (pq:P768)  | Dundee (wd:Q5314798)                                 |
| s:Q112242278-c3e09a29-42b2-588a-dd07-7771fdfd146a | quantity (pq:P1114)           | 2 (xsd:decimal)                                      |
| s:Q112242278-c3e09a29-42b2-588a-dd07-7771fdfd146a | parliamentary term (pq:P2937) | 32nd Parliament of the United Kingdom (wd:Q21084449) |
| s:Q112242278-c3e09a29-42b2-588a-dd07-7771fdfd146a | wikibase:rank                 | wikibase:NormalRank                                  |
| s:Q112242278-c3e09a29-42b2-588a-dd07-7771fdfd146a | rdf:type                      | wikibase:BestRank                                    |
| s:Q112242278-c3e09a29-42b2-588a-dd07-7771fdfd146a | quantity (pqv:P1114)          | v:45430454bd0f3bc0d9093c52b6acfc2b                   |
| s:Q112242278-c3e09a29-42b2-588a-dd07-7771fdfd146a | rdf:type                      | wikibase:Statement                                   |

[Assistant]
This statement node does not have ps:P39, but has "office contested" (ps:P541) and "quantity" (pq:P1114), which may indicate a different modeling for multi-member constituencies.

However, the first example did have ps:P39 as "member of the 32nd Parliament of the United Kingdom" (wd:Q41582584). Let's check what type of entity wd:Q41582584 is.

[Tool]
Got 105 rows and 3 columns, showing the first 10 rows below:
| subject                                                            | property                                           | object                                                             |
| ------------------------------------------------------------------ | -------------------------------------------------- | ------------------------------------------------------------------ |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | instance of (wdt:P31)                              | position (wd:Q4164871)                                             |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | country (wdt:P17)                                  | United Kingdom (wd:Q145)                                           |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | subclass of (wdt:P279)                             | Member of Parliament (wd:Q16707842)                                |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | inception (wdt:P571)                               | 1922-11-15T00:00:00Z (xsd:dateTime)                                |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | follows (wdt:P155)                                 | member of the 31st Parliament of the United Kingdom (wd:Q41582582) |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | followed by (wdt:P156)                             | member of the 33rd Parliament of the United Kingdom (wd:Q41582585) |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | on focus list of Wikimedia project (wdt:P5008)     | WikiProject Q68235346 (wd:Q68235346)                               |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | applies to jurisdiction (wdt:P1001)                | United Kingdom (wd:Q145)                                           |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | topic's main category (wdt:P910)                   | wd:Q8852972                                                        |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | dissolved, abolished or demolished date (wdt:P576) | 1923-11-16T00:00:00Z (xsd:dateTime)                                |
| ...                                                                | ...                                                | ...                                                                |

[Assistant]
wd:Q41582584 is a subclass of "Member of Parliament" (wd:Q16707842) and is a position specific to the 32nd Parliament. Therefore, for this parliament, MPs are modeled with P39 = wd:Q41582584.

**Updated plan:**
- For each person with P39 = wd:Q41582584, get the statement node.
- On the statement node, get pq:P768 (constituency) and pq:P2937 = wd:Q21084449.
- Group by constituency, count MPs (actual seats).
- Get expected seats (wdt:P1342) for the constituency.
- Filter for actual seats > 1.

Let's try this query.

[Tool]
Got 34 rows and 4 columns, showing the first 5 and last 5 rows below:
| constituency                                 | actualSeats | expectedSeats | constituencyLabel                   |
| -------------------------------------------- | ----------- | ------------- | ----------------------------------- |
| Combined Scottish Universities (wd:Q5150880) | 3 (xsd:int) |               | Combined Scottish Universities (en) |
| Oldham (wd:Q7085618)                         | 2 (xsd:int) |               | Oldham (en)                         |
| Down (wd:Q5302778)                           | 2 (xsd:int) |               | Down (en)                           |
| Dundee (wd:Q5314798)                         | 2 (xsd:int) |               | Dundee (en)                         |
| Fermanagh and Tyrone (wd:Q5444374)           | 2 (xsd:int) |               | Fermanagh and Tyrone (en)           |
| ...                                          | ...         | ...           | ...                                 |
| Newcastle upon Tyne East (wd:Q42114997)      | 2 (xsd:int) |               | Newcastle upon Tyne East (en)       |
| Ludlow (wd:Q3336884)                         | 2 (xsd:int) |               | Ludlow (en)                         |
| Southampton (wd:Q11797285)                   | 2 (xsd:int) |               | Southampton (en)                    |
| Darlington (wd:Q1072896)                     | 2 (xsd:int) |               | Darlington (en)                     |
| Berwick-upon-Tweed (wd:Q1072626)             | 2 (xsd:int) |               | Berwick-upon-Tweed (en)             |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?person ?office ?dob ?pob ?gender ?start ?end WHERE {
  ?person p:P39 ?statement .
  ?statement ps:P39 ?office .
  ?office wdt:P279 * wd:Q3858501 .
  OPTIONAL {
    ?person wdt:P569 ?dob .
  }
  OPTIONAL {
    ?person wdt:P19 ?pob .
  }
  OPTIONAL {
    ?person wdt:P21 ?gender .
  }
  OPTIONAL {
    ?statement pq:P580 ?start .
  }
  OPTIONAL {
    ?statement pq:P582 ?end .
  }
}
LIMIT 100

The query returns individuals who have held the position of an Italian minister, including their item ID, the specific office held (item ID), date of birth, place of birth, sex or gender, and the start and end times of their tenure if available. For example, Maria Cristina Messa (wd:Q104599786) was Minister of Universities, Science and Technology (wd:Q54879307), born 1961-10-08 in Monza (wd:Q6252), female (wd:Q6581072), with tenure from 2021-02-13 to 2022-10-22.

What are the details of individuals who have held the position of an Italian minister, including their item ID, the specific office they held, their date of birth, place of birth, sex or gender, and the start and end times of their tenure, if available?

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian with notes:
1. For P39 legislative memberships, filter by pq:P2937 (legislative term) on the p:P39 statement; don’t use P793 for term filtering. For UK MPs, avoid a generic Q16707842-only scan; rely on term qualifiers and proper date overlap on pq:P580/pq:P582.
2. For residence (P551), time bounds are qualifiers on the statement: p:P551/ps:P551 place, pq:P580 start, pq:P582 end. To include containing areas (e.g., NYC boroughs), expand via wdt:P551/wdt:P131*. Durations usually need client-side calc on QLever.
3. Ticker symbols are pq:P249 on p:P414 statements; query via the statement node (?org p:P414 ?st . ?st ps:P414 ?ex ; pq:P249 ?ticker). Use VALUES to pre-limit orgs/exchanges. Don’t expect wdt:P249 on the org. Prefer qualifiers for time-bound tickers.
4. Archives: use p:P485/ps:P485 for the holding institution. Inventory numbers are qualifiers pq:P217 on that P485 statement. Don’t expect wdt:P217 directly on the person/work. “Archive descriptions” may be separate collection items (P195).
5. When listing contained municipalities or similar, prefer wdt:P150* (has parts) from the parent to enumerate children, then join other relations (e.g., twin towns via wdt:P190). Avoid broad wdt:P131+ scans from children; they are slow and can timeout.
6. On QLever, avoid SERVICE wikibase:label (frequent 301). Use OPTIONAL rdfs:label with LANG filters or fetch QIDs then labels separately. For property mapping, (?prop wikibase:directClaim ?p). Pre-limit with subselect/VALUES to avoid timeouts.
7. Employer constraints: to find people employed by UN or international orgs, use wdt:P108 directly for UN (wd:Q1065), or traverse employer to part of (wdt:P361*) UN, or employer wdt:P31 wd:Q484652 (international organization). Combine with other occupations.
8. For sports/events/editions, prefer explicit edition items (e.g., Q47345468) with wdt:P361 linking to the parent series/tour and filter by wdt:P585/P571 for year; avoid P641/P2139 that model sports played or participants, not the edition metadata.
9. For author/creator queries, use occupation wdt:P106 (e.g., author/writer) rather than P31 typing. To list works, prefer the reverse path ^wdt:P50 ?work; P800 (notable work) is incomplete and curated, not a full bibliography.
10. Awards: use p:P166/ps:P166 and constrain award via wdt:P31/wdt:P279* to a target class (e.g., Cannes awards Q28444913). Recipients can be films or people; don’t assume film-specific properties exist. Count/group by recipient type if needed.
11. To select current/active codes or memberships on QLever, use statement nodes (p:/ps:) and MINUS { ?st pq:P582 [] }. For time series counts (e.g., daily members), generate a date series (VALUES/UNNEST), then test overlap with pq:P580/pq:P582 per date.
12. For people’s native names, use wdt:P1559 (name in native language) on the person, not rdfs:label. Return multiple if multiple native languages exist; pick a preferred language client-side if needed.
13. For multi-valued props (e.g., P1082), GROUP BY entity and aggregate (MAX/MIN/SAMPLE) to avoid duplicates; DISTINCT won’t collapse multiple statements. For category/gender counts, prefer indicator sums: SUM(IF(cond,1,0)) over COUNT on OPTIONAL vars.
14. Avoid SERVICE wikibase:label on QLever; it often 301s. Use OPTIONAL rdfs:label with LANG filters, or fetch QIDs first and labels in a follow-up. Pre-limit with subselect/VALUES to avoid timeouts when joining many labels.
15. For P551 duration comparisons, avoid unsupported date arithmetic. If needed, compute overlaps client-side. On-endpoint, you can only compare presence/counts or use simple MIN/MAX of dates (casting and arithmetic are limited in QLever).
16. When excluding specific entities from a relation (e.g., siblings), use FILTER to drop explicit QIDs or FILTER NOT EXISTS with a VALUES list. Ensure you use the exact sibling QIDs returned by the KG, not assumed ones.

General notes for all knowledge graphs:
1. When checking date interval overlaps, handle open intervals (missing start/end) and use xsd:dateTime. Use OR conditions to cover start within, end within, or spanning the whole range.
2. For P39 queries, qualifiers (e.g., P2937 term, P768 electoral district, P4100 parliamentary group) live on the p:P39 statement node. Do not expect them as wdt: properties on the person or use ps: for non-main values.
3. To get sitelink counts, use wikibase:sitelinks on the entity; it returns a single numeric value, so GROUP BY the entity and avoid COUNT over ?sitelink.
4. Use subclass expansion for types: wdt:P31/wdt:P279* target (e.g., dams, educational institutions). This captures items modeled with subclasses.
5. For locations, prefer hierarchies via wdt:P131+ to reach a containing region/state, and wdt:P17 for country. If HQ is a building, P159 ps points to a city; specific site is qualifier pq:P276 on the P159 statement.
6. When excluding or selecting by a legislative term on P39, check pq:P2937 on the relevant statement. Use FILTER NOT EXISTS over p:P39 with ps:P39 target and pq:P2937 value to exclude a term.
7. QLever endpoints may not support Wikidata’s “WITH {…} AS %name” and “INCLUDE %name” syntax. Avoid named subqueries; use nested SELECTs or VALUES instead.
8. The wikibase:label SERVICE often fails on QLever. Prefer rdfs:label with FILTER(LANG(..)="en") or get QIDs only and resolve labels client-side.
9. Avoid COUNT over OPTIONAL variables that may be unbound for all rows; prefer EXISTS/BOUND checks or aggregate over DISTINCT entities to prevent misleading zeros.
10. On QLever, heavy OPTIONAL label/property joins often time out. Pre-limit with a subselect/VALUES over IDs (ORDER BY + LIMIT), then join labels/properties. Or fetch QIDs first and labels in a second, smaller query.
11. For precise date filtering on Wikidata (birth/death), prefer p/psv time nodes and wikibase:timeValue plus timePrecision checks over wdt:P569/P570 to include values with year/month precision and avoid silent drops.
12. When filtering by exact day of birth or event, avoid STRSTARTS on wdt:P569; instead bound an interval [day, next day) with xsd:dateTime to include all precisions. On QLever, add hint:Prior hint:rangeSafe true to improve performance on time ranges.

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 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.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. 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.

[User] What are the details of individuals who have held the position of an Italian minister, including their item ID, the specific office they held, their date of birth, place of birth, sex or gender, and the start and end times of their tenure, if available?

[Assistant]
Let's break down the question:

1. We want individuals who have held the position of an Italian minister.
2. For each, we want:
   - Item ID (person)
   - Specific office held (item ID)
   - Date of birth
   - Place of birth
   - Sex or gender
   - Start and end times of their tenure (if available)

Step 1: Identify the property for "position held" (likely P39).
Step 2: Identify how to filter for "Italian minister" positions.
Step 3: Find properties for date of birth, place of birth, and sex/gender.

Let's start by searching for the property "position held".

[Tool]
Top 10 property alternatives:
1. position held, also known as function, held position, holds position, job, office held (wd:P39 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): subject currently or formerly holds the object position or public office
2. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): persons who hold and/or held the position
3. expression, gesture or body pose, also known as action, expression, facial expression, gesture, movement (wd:P6022 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): qualifier on "depicts" (P180) for human position of an individual in an artwork
4. position played on team / speciality, also known as fielding position, player position, position, position (on team), specialism (wd:P413 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): position or specialism of a player on a team
5. coordinate location, also known as gps co-ordinates, wgs 84, gps coordinates, gps location, latitude (wd:P625 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
6. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): subject's ordinal position as qualitatively evaluated relative to other members of a group
7. term length of position, also known as position term, time in position, term of position, term length, length of term (wd:P2097 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., subproperty of duration
8. office contested, also known as contested office, contested position, position contested (wd:P541 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): title of office which election will determine the next holder of
9. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): position of the head of this item
10. location, also known as neighborhood, locale, neighbourhood, place, place held (wd:P276 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant]
The correct property for "position held" is wd:P39.

Now, we need to filter for Italian ministers. Let's search for an entity representing "Italian minister" or a suitable class, such as "minister of the Italian Republic" or similar, to use as a filter for the office held.

I'll search for "Italian minister" as an entity.

[Tool]
Top 10 entity alternatives:
1. Italian minister, also known as minister  of the Italian Republic, minister of Italy (wd:Q3858501)
2. Prime Minister of Italy, also known as Prime Minister, President of the Council of Ministers, Presidente del Consiglio dei Ministri della Repubblica Italiana, Italian prime minister (wd:Q796897)
3. Italian Minister of the Environment, also known as italian environment minister (wd:Q32137240)
4. Italian Minister of Education, Universities and Research, also known as education minister of italy, Italian Minister of Public Education, Italian education minister, education minister italy (wd:Q3721646)
5. Italian Finance Minister (wd:Q55087463)
6. Italian Minister without Portfolio (wd:Q27447034)
7. Italian Minister for Disabilities (wd:Q105541338)
8. Italian Minister of Defence, also known as Minister of Defence, Minister of Defence of the Italian Republic (wd:Q1538785)
9. Italian Minister of Communications (wd:Q60790902)
10. Italian Minister of Health, also known as Health Minister of Italy, Minister of Health (wd:Q27795992)

[Assistant]
The entity "Italian minister" (wd:Q3858501) seems to be the general class for ministers of the Italian Republic. We can use this as a filter for the office held (P39).

Now, let's identify the properties for:
- Date of birth
- Place of birth
- Sex or gender

I'll search for these properties to confirm their IDs.

[Tool]
Top 10 property alternatives:
1. date of birth, also known as year of birth, DOB, born on, birthyear, born (wd:P569 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): date on which the subject was born, subproperty of inception
2. place of birth, also known as location born, POB, location of birth, born in, born at (wd:P19 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): most specific known birth location of a person, animal or fictional character, subproperty of location
3. birthday, also known as birth day, b-day, bday (wd:P3150 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., subproperty of date of birth
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): the object is a country that recognizes the subject as its citizen, subproperty of country
5. commemorates, also known as anniversary of, monument to, memorial to, memorializes, marks (wd:P547 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): what the place, monument, memorial, or holiday, commemorates, subproperty of main subject
6. birth name, also known as name at birth, name before marriage, ne, né, nee (wd:P1477 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): full name of a person at birth, if different from their current, generally used name, subproperty of name
7. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): subproperty of dissolved, abolished or demolished date, date on which the subject died, subproperty of end time
8. inception, also known as inception date, founding date, founded in, founded on date, founded on (wd:P571 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): time when an entity begins to exist; for date of official opening use P1619, subproperty of start time
9. website username or ID, also known as website username, website ID, handle, username in social media, username (wd:P554 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): username or identifier on a website that the person or movement ... account on, for use as qualifier of "website account on" (P553)
10. pseudonym, also known as nom de plume, stage name, nom-de-plume, nome de guerre, pen name (wd:P742 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): alias used by someone (for nickname use P1449), subproperty of name

[Tool]
Top 10 property alternatives:
1. sex or gender, also known as biological sex, gender, gender expression, gender identity, gender or sex (wd:P21 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
2. grammatical gender, also known as gender (wd:P5185 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): grammatical gender of the word
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): grammatical features required or generally used with lexeme or form of lexeme
4. has grammatical gender, also known as grammatical genders, has genders (wd:P5109 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): specific form of noun class system of a language. Use qualifier ... subject of" (P805) to link to language specific item if present
5. personal pronoun, also known as gender pronoun, personal gender pronoun, personal pronouns, PGP, PGPs (wd:P6553 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): used when a word is only used to refer to people of this gender or to animals of this sex, independent of the grammatical gender
7. sexual orientation, also known as sexuality (wd:P91 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): the sexual orientation of the person relative to their declared ...r it has been widely agreed upon by historians after their death
8. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): female form of name or title (for male use P3321)
9. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): male form of name or title (for female use P2521)
10. given name version for other gender, also known as female form of name, female version of this male given name, gender inflection of given name, male form of name, male version of this female given name (wd:P1560 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): equivalent name (with respect to the meaning of the name) in the...n of a female first name. Add primarily the closest matching one

[Tool]
Top 10 property alternatives:
1. place of birth, also known as location born, POB, location of birth, born in, born at (wd:P19 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): most specific known birth location of a person, animal or fictional character, subproperty of location
2. date of birth, also known as year of birth, DOB, born on, birthyear, born (wd:P569 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): date on which the subject was born, subproperty of inception
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): the object is a country that recognizes the subject as its citizen, subproperty of country
4. birthday, also known as birth day, b-day, bday (wd:P3150 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., subproperty of date of birth
5. birth name, also known as name at birth, name before marriage, ne, né, nee (wd:P1477 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): full name of a person at birth, if different from their current, generally used name, subproperty of name
6. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): category item that groups people born in this place, subproperty of related category
7. valid in place, also known as country, valid in territory, valid in location, true in, applies to place (wd:P3005 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): place where a statement is valid, subproperty of applies to part
8. country of origin, also known as comes from, place of origin, origin country, originates from, country (wd:P495 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): country of origin of this item (creative work, food, phrase, product, etc.), subproperty of significant place, subproperty of country
9. country, also known as state, sovereign state, land, host country (wd:P17 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): sovereign state that this item is in (not to be used for human beings), subproperty of located in the administrative territorial entity
10. commemorates, also known as anniversary of, monument to, memorial to, memorializes, marks (wd:P547 as pqv/prv/psn/pqn/wdt/pr/p/psv/wdtn/prn/ps/pq): what the place, monument, memorial, or holiday, commemorates, subproperty of main subject

[Assistant]
We have confirmed the following property IDs:
- position held: P39
- date of birth: P569
- place of birth: P19
- sex or gender: P21

For tenure start and end, these are qualifiers on the P39 statement:
- start time: pq:P580
- end time: pq:P582

Now, let's build a query:
- Find people (?person) with a P39 statement where the value is a subclass of "Italian minister" (wd:Q3858501).
- For each, get the office held (?office), date of birth, place of birth, sex/gender, and the start/end time qualifiers.

I'll write a SPARQL query to retrieve these details.

[Tool]
Got 100 rows and 7 columns, showing the first 5 and last 5 rows below:
| person                               | office                                                          | dob                                 | pob                      | gender               | start                               | end                                 |
| ------------------------------------ | --------------------------------------------------------------- | ----------------------------------- | ------------------------ | -------------------- | ----------------------------------- | ----------------------------------- |
| Maria Cristina Messa (wd:Q104599786) | Minister of Universities, Science and Technology (wd:Q54879307) | 1961-10-08T00:00:00Z (xsd:dateTime) | Monza (wd:Q6252)         | female (wd:Q6581072) | 2021-02-13T00:00:00Z (xsd:dateTime) | 2022-10-22T00:00:00Z (xsd:dateTime) |
| Daniele Franco (wd:Q105296748)       | Italian Minister of Economy and Finance (wd:Q28002382)          | 1953-06-07T00:00:00Z (xsd:dateTime) | Trichiana (wd:Q40468)    | male (wd:Q6581097)   | 2021-02-13T00:00:00Z (xsd:dateTime) | 2022-10-22T00:00:00Z (xsd:dateTime) |
| Patrizio Bianchi (wd:Q105320865)     | Italian Minister of Education (wd:Q34153264)                    | 1952-05-28T00:00:00Z (xsd:dateTime) | Copparo (wd:Q95098)      | male (wd:Q6581097)   | 2021-02-13T00:00:00Z (xsd:dateTime) | 2022-10-22T00:00:00Z (xsd:dateTime) |
| Randolfo Pacciardi (wd:Q1053876)     | Italian Minister of Defence (wd:Q1538785)                       | 1899-01-01T00:00:00Z (xsd:dateTime) | Giuncarico (wd:Q2456297) | male (wd:Q6581097)   | 1950-01-28T00:00:00Z (xsd:dateTime) | 1951-07-26T00:00:00Z (xsd:dateTime) |
| Randolfo Pacciardi (wd:Q1053876)     | Italian Minister of Defence (wd:Q1538785)                       | 1899-01-01T00:00:00Z (xsd:dateTime) | Giuncarico (wd:Q2456297) | male (wd:Q6581097)   | 1951-07-26T00:00:00Z (xsd:dateTime) | 1953-07-16T00:00:00Z (xsd:dateTime) |
| ...                                  | ...                                                             | ...                                 | ...                      | ...                  | ...                                 | ...                                 |
| Francesco Cossiga (wd:Q1230)         | Italian Minister of the Interior (wd:Q1541071)                  | 1928-07-26T00:00:00Z (xsd:dateTime) | Sassari (wd:Q13629)      | male (wd:Q6581097)   | 1978-03-13T00:00:00Z (xsd:dateTime) | 1978-05-11T00:00:00Z (xsd:dateTime) |
| Francesco Cossiga (wd:Q1230)         | wd:Q55200191                                                    | 1928-07-26T00:00:00Z (xsd:dateTime) | Sassari (wd:Q13629)      | male (wd:Q6581097)   | 1974-11-23T00:00:00Z (xsd:dateTime) | 1976-02-11T00:00:00Z (xsd:dateTime) |
| Francesco Cossiga (wd:Q1230)         | Italian Minister of the Interior (wd:Q1541071)                  | 1928-07-26T00:00:00Z (xsd:dateTime) | Sassari (wd:Q13629)      | male (wd:Q6581097)   | 1976-02-12T00:00:00Z (xsd:dateTime) | 1976-07-30T00:00:00Z (xsd:dateTime) |
| Domenico Corcione (wd:Q1237108)      | Italian Minister of Defence (wd:Q1538785)                       | 1929-04-20T00:00:00Z (xsd:dateTime) | Turin (wd:Q495)          | male (wd:Q6581097)   | 1995-01-17T00:00:00Z (xsd:dateTime) | 1996-05-18T00:00:00Z (xsd:dateTime) |
| Giuseppe Saragat (wd:Q1238)          | Italian Minister of Foreign Affairs (wd:Q27991492)              | 1898-09-19T00:00:00Z (xsd:dateTime) | Turin (wd:Q495)          | male (wd:Q6581097)   | 1964-07-23T00:00:00Z (xsd:dateTime) | 1964-12-28T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process