PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?item ?itemLabel ?dissolved WHERE {
  VALUES ?item {
    wd:Q9903
  }
  OPTIONAL {
    ?item wdt:P576 ?dissolved .
  }
  OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( LANG( ?itemLabel ) = "en" )
  }
}

Using entities:
Ming dynasty (wd:Q9903), also known as Empire of the Great Ming, Great Ming, Ming China, Ming Empire, Ming era, etc.

Using properties:
dissolved, abolished or demolished date (wd:P576 as wdt), also known as abolished, abolishment date, ceased date, ceased on, ceased publication, etc.

Answer: The Ming dynasty was dissolved on 1644-01-01 (1 January 1644).

[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] When did the Ming dynasty dissolve?

[Assistant] I will search Wikidata for the entity corresponding to the "Ming dynasty", then inspect properties related to its end/dissolution date (such as "dissolved, abolished or demolished" P576 or "end time" P582). I'll run queries step by step and explain my reasoning before and after each call.

[Tool]
Top 10 entity alternatives:
1. Ming dynasty (wd:Q9903), also known as Empire of the Great Ming, Great Ming, Ming China, Ming Empire, Ming era, etc.: imperial dynasty of China from 1368 to 1644 / is instance of historical Chinese state / is instance of historical period
2. Empress of the Ming (wd:Q61650149, matched via Ming Dynasty), also known as Ming Dynasty: is instance of television programme / is instance of television program / Chinese TV series or program
3. Ming Dynasty (wd:Q6864636): is instance of television series / 2007 Chinese television series / is instance of serial
4. Ming Dynasty (wd:Q6864635): Australian Thoroughbred racehorse / is instance of horse / is instance of Horse
5. Ming dynasty (wd:Q103958345): is instance of encyclopaedic article / is instance of encyclopedia article / encyclopedia article
6. Ming tombs (wd:Q41135, matched via Ming dynasty tombs), also known as Ming dynasty tombs: collection of mausoleums built by the emperors of the Ming dynasty of China / is instance of tourist attraction / is instance of cemetery
7. Southern Ming dynasty (wd:Q1198163), also known as Southern Ming: is instance of Dynasties in Chinese history / is instance of historical Chinese state / is instance of Chinese dynasty / dynasty
8. history of the Ming dynasty (wd:Q16843870, matched via Ming dynasty history), also known as history of Ming dynasty, Ming dynasty history, the Ming dynasty history: is instance of aspect of history / is instance of dynastic history / aspect of history
9. Ming dynasty painting (wd:Q6864640): overview of Ming dynasty painting
10. Ming dynasty literature (wd:Q16034346): is subclass of Chinese literature / ancient Chinese literature

[Assistant] I'll search for properties of the Ming dynasty (wd:Q9903) related to its end or dissolution, such as "end time" (P582) or "dissolved, abolished or demolished" (P576). I'll query property suggestions for words like "end", "dissolved", and "dissolution".

[Tool]
Top 10 property alternatives:
1. dissolved, abolished or demolished date (wd:P576 as wdt/p, matched via ended), also known as abolished, abolishment date, ceased date, ceased on, ceased publication, etc.: point in time at which the subject (organisation, building) ...  "discontinued date" (P2669) for stopping a product / date or point in time on which the organisation was dissolved/disappeared or the building demolished / is subproperty of end time
2. part of (wd:P361 as wdt/p, matched via of), also known as assembly of, branch of, chain, collateral branch of, component of, etc.: object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670))
3. described by source (wd:P1343 as wdt/p, matched via entry), also known as defined in, described by biography, described by encyclopedia, described by obituary, described by reference work, etc.: dictionary, encyclopaedia, etc. where this item is described / work where this item is described / is subproperty of attested in
4. different from (wd:P1889 as wdt/p, matched via not), also known as confused with, differs from, disambiguated from, distinct from, distinguished from, etc.: item that is different from another item, with which it is often confused / item that is different from another item, with which it may be confused
5. replaces (wd:P1365 as wdt/p, matched via continues), also known as absorbed, absorbs, continues, continues from, deprecates, etc.: person, state or item replaced. Use "structure replaces" ... was not replaced or predecessor and successor are identical / person or item replaced. Use "structure replaces" (P1398) for ... was not replaced or predecessor and successor are identical / is subproperty of follows
6. inception (wd:P571 as wdt/p, matched via formation), also known as broke ground, built, commenced on date, commencement date, completed, etc.: time when an entity begins to exist; for date of official opening use P1619 / time when an entity begins to exist; for date of official opening use P1619 / date or point in time when the organisation / object was founded / created / is subproperty of start time
7. contains the administrative territorial entity (wd:P150 as wdt/p, matched via contains), also known as contains, contains administrative territorial entity, divided into, divides into, has administrative divisions, etc.: (list of) direct subdivisions of an administrative territorial entity / (list of) direct subdivisions of an administrative division / (list of) direct subdivisions of an administrative division / is subproperty of has part(s) / is subproperty of has part
8. coordinate location (wd:P625 as wdt/p, matched via position), also known as co-ordinate location, co-ordinates, coordinates, co-ords, coords, etc.: geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment / coordinates of the subject / coordinates of the subject
9. instance of (wd:P31 as wdt/p, matched via is a), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
10. follows (wd:P155 as wdt/p, matched via is after), also known as before was, comes after, is after, preceded by, predecessor, etc.: immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)] / immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)] / immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)] / immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)]

No other items found

[Assistant] I'll list triples for the Ming dynasty item to see which properties give an end/dissolution date. I'll request a general listing of triples for wd:Q9903.

[Tool]
Got 820 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                        | object                                                                                |
| ----------------------- | ------------------------------- | ---------------------------------------------------------------------------------------------- |
| Ming dynasty (wd:Q9903) | instance of (wdt:P31)           | historical period (wd:Q11514315)                                                               |
| Ming dynasty (wd:Q9903) | coordinate location (wdt:P625)  | POINT(103.083333 32.800000) (geo:wktLiteral)                                                   |
| Ming dynasty (wd:Q9903) | Commons category (wdt:P373)     | Ming Dynasty                                                                                |
| Ming dynasty (wd:Q9903) | image (wdt:P18)                 | <http://commons.wikimedia.org/wiki/Special:FilePath/Ming%20Empire%20cca%201580%20%28en%29.svg> |
| Ming dynasty (wd:Q9903) | part of (wdt:P361)              | Ming Qing (wd:Q17025491)                                                                       |
| Ming dynasty (wd:Q9903) | Freebase ID (wdt:P646)          | /m/0bw_m                                                                                |
| Ming dynasty (wd:Q9903) | population (wdt:P1082)          | 50908672 (xsd:decimal)                                                                         |
| Ming dynasty (wd:Q9903) | inception (wdt:P571)            | 1368-01-01T00:00:00Z (xsd:dateTime)                                                            |
| Ming dynasty (wd:Q9903) | GND ID (wdtn:P227)              | <https://d-nb.info/gnd/4101004-8>                                                              |
| Ming dynasty (wd:Q9903) | described by source (wdt:P1343) | Meyers Konversations-Lexikon, 4th edition (1885–1890) (wd:Q19219752)                           |
| ...                     | ...                             | ...                                                                                |

[Assistant] I'll check whether the Ming dynasty (wd:Q9903) has a "dissolved, abolished or demolished date" (P576) or an "end time" (P582) recorded. I'll list triples for those properties.

[Tool]
Got 1 row and 3 columns:
| subject                 | property                                           | object                              |
| ----------------------- | -------------------------------------------------- | ----------------------------------- |
| Ming dynasty (wd:Q9903) | dissolved, abolished or demolished date (wdt:P576) | 1644-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] P576 exists with value 1644-01-01. I'll also check for P582 end time.

[Tool] Got no rows and 3 columns

[Assistant] I'll run a SPARQL query that retrieves the Ming dynasty item (wd:Q9903), its dissolution date (property P576), and the English label. Then I'll use the query results to answer the user's question. Now I'll execute the query.

[Tool]
Got 1 row and 3 columns:
| item                    | itemLabel         | dissolved                           |
| ----------------------- | ----------------- | ----------------------------------- |
| Ming dynasty (wd:Q9903) | Ming dynasty (en) | 1644-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] The query confirms the dissolution date as 1644-01-01. I'll now finalize: answer the user's question and include the SPARQL query I used.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?highest ?highestLabel WHERE {
  wd:Q35600 wdt:P610 ?highest .
  OPTIONAL {
    ?highest rdfs:label ?highestLabel FILTER ( LANG( ?highestLabel ) = "en" )
  }
}

Using entities:
Ural Mountains (wd:Q35600), also known as the Urals, Urals

Using properties:
highest point (wd:P610 as wdt), also known as elevation of highest point, extreme point highest, highest peak, pinnacle, summit, etc.

Answer: The highest place (highest point) of the Ural Mountains (wd:Q35600) is Mount Narodnaya (wd:Q1142817).

[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 is the highest place of the Urals?

[Assistant] I'll first search for the Ural Mountains entity on Wikidata, then look for properties that indicate a "highest point" (common property is "highest point (P610)" but I will verify). After identifying the entity and property, I'll query for the highest place (the mountain) and return its identifier and label. I'll run searches now.

[Tool]
Top 10 entity alternatives:
1. Ural Mountains (wd:Q35600), also known as the Urals, Urals: is instance of mountain system / mountain range in Russia / mountains in Russia / mountains in Russia
2. Merry mountains (Ural) (wd:Q13369935): is instance of mountain system
3. History of human settlement in the Ural Mountains (wd:Q23136011, matched via Ural Mountains history), also known as the Ural Mountains history, Ural Mountains history: from the Arctic Ocean in the north to the Ural River and northwestern Kazakhstan / is instance of aspect of history
4. Ural Mountains in Nazi planning (wd:Q5170733): aspect of Nazi geopolitical planning
5. Skazy Uralskih Gor (wd:Q109391431, matched via Tales of the Ural Mountains), also known as Tales of the Ural Mountains: 1968 film directed by Olgerd Vorontsov / is instance of film
6. Uralinova uralica (wd:Q107102407): is instance of fossil taxon / species of crustacean
7. mountain (wd:Q8502, matched via mountains), also known as mount, mountains, mt., mtn.: large landform that stretches above the surrounding land / large landform that stretches above the surrounding land / large natural elevation of the Earth's surface / is subclass of natural geographic object / is instance of geographical feature / is instance of geographical object / is instance of feature type / is subclass of elevation
8. Himalayas (wd:Q5451, matched via Himalaya Mountains), also known as Himalaya, Himálaya, Himalaya Mountains, Himálaya Mountains, Himalayan Mountains, etc.: is instance of mountain system / mountains in Afghanistan / mountain range in Asia / mountain range in Asia
9. Andes (wd:Q5456, matched via Andes mountains), also known as Andes mountain range, Andes mountains, Ecuadorian Andes: mountain range running along the western side of South America / mountain range running along the western side of South America / is instance of mountain system
10. Rocky Mountains (wd:Q5463), also known as Rockies, The Rockies: is instance of non-geologically related mountain range / major mountain range in western North America

[Assistant] I'll look for properties on the Ural Mountains item that could indicate its highest point (searching for "highest", "highest point", or similar).

[Tool]
Top 10 property alternatives:
1. elevation above sea level (wd:P2044 as wdt/p, matched via height), also known as altitude, AMSL, EASL, elevation, elevation above mean sea level, etc.: height of the item (geographical object) as measured relative to sea level / height of the item as measured relative to sea level / height of the item as measured relative to sea level
2. highest point (wd:P610 as wdt/p), also known as elevation of highest point, extreme point highest, highest peak, pinnacle, summit, etc.: point with the highest elevation in the country, region, city, town, or area / point with highest elevation in the country, region, city or area / point with highest elevation in a region or path / is subproperty of has part(s) / is subproperty of has part
3. coordinate location (wd:P625 as wdt/p, matched via position), also known as co-ordinate location, co-ordinates, coordinates, co-ords, coords, etc.: geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment / coordinates of the subject / coordinates of the subject
4. length (wd:P2043 as wdt/p, matched via dimension), also known as dimension, distance, length overall, LOA, long, etc.: measured dimension of an object / measured dimension of an object
5. different from (wd:P1889 as wdt/p, matched via not), also known as confused with, differs from, disambiguated from, distinct from, distinguished from, etc.: item that is different from another item, with which it is often confused / item that is different from another item, with which it may be confused
6. topic's main category (wd:P910 as wdt/p, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
7. described by source (wd:P1343 as wdt/p, matched via entry), also known as defined in, described by biography, described by encyclopedia, described by obituary, described by reference work, etc.: dictionary, encyclopaedia, etc. where this item is described / work where this item is described / is subproperty of attested in
8. width (wd:P2049 as wdt/p, matched via size), also known as breadth, bus width, size, P2049: is subproperty of length / width of an object / width of an object
9. instance of (wd:P31 as wdt/p, matched via is a), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
10. image (wd:P18 as wdt/p, matched via still), also known as camera picture, Commons image, drawing, File:, graph, etc.: image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image)

No other items found

[Assistant] I'll now run a SPARQL query to get the value of the "highest point" (P610) for the Ural Mountains (wd:Q35600). I'll request the IRI of the highest point and its English label. I'm executing the query now.

[Tool]
Got 1 row and 2 columns:
| highest                       | highestLabel         |
| ----------------------------- | -------------------- |
| Mount Narodnaya (wd:Q1142817) | Mount Narodnaya (en) |

[Assistant] I'll now provide the final SPARQL query (which I already tested) and the direct answer. Then I'll execute the final query via the answer function.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?country ?countryLabel WHERE {
  wd:Q78707 wdt:P205 ?country .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
}
ORDER BY ?countryLabel

Using entities:
Yenisey (wd:Q78707), also known as Enisey, Jenisej, River Yenisei, R. Yenisei, Yenisei, etc.

Using properties:
basin country (wd:P205 as wdt), also known as basin countries, P205

Got 2 rows and 2 columns:
| country            | countryLabel  |
| ------------------ | ------------- |
| Mongolia (wd:Q711) | Mongolia (en) |
| Russia (wd:Q159)   | Russia (en)   |

Answer: The Yenisei river flows through Mongolia and Russia (basin countries).

Through which countries does the Yenisei river flow?

[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] Through which countries does the Yenisei river flow?

[Assistant] I will first search for the Wikidata item for the Yenisei river. Then I'll inspect properties of that item to find the property that indicates which countries it flows through (likely "country" or "located in the administrative territorial entity"). I'll run queries to verify property identifiers before building the final SPARQL query. I'll explain my reasoning before and after each function call. Now I'll search for the Yenisei entity.

[Tool]
Top 10 entity alternatives:
1. Yenisey (wd:Q78707, matched via Yenisei), also known as Enisey, Jenisej, River Yenisei, R. Yenisei, Yenisei, etc.: Russian river coming from Mongolia, crossing Siberia and flowing into the Arctic Ocean / Russian river coming from Mongolia, crossing Siberia and flowing into the Arctic Ocean / river in Asia; the 5th-longest in the world / is instance of river
2. Khakas people (wd:Q240293, matched via Yenisei), also known as Abakan Tatars, Abaka Tatars, Hakas, Hakasi, Hakass, etc.: is instance of ethnic group / ethnic group
3. Yeniseysk (wd:Q135686, matched via Yeniseisk), also known as Yeniseisk: town in Yeniseysk Urban Okrug, Krasnoyarsk Krai, Russia / is instance of city or town
4. Yeniseian (wd:Q27639), also known as Yeniseian languages: is subclass of Paleo-Siberian languages / is instance of language family / language family of Siberia
5. Yenisei Gulf (wd:Q1338198): is instance of bay / bay
6. Little Yenisey (wd:Q1511505, matched via Little Yenisei), also known as Little Yenisei, Little Yenisei River, Malyj Enisej, Maly Yenisey, Shishged Gol, etc.: river in Russia and Mongolia / is instance of river / river in Mongolia / river in Mongolia
7. Bolshoy Yenisei (wd:Q1548748), also known as Bol'shoj Enisej: river in Tuva, Russia / is instance of river / river in Russia / river in Russia
8. Yenisei Kirghiz (wd:Q83142), also known as Ancient Kyrgyz, Khakas, Khyagas: ancient Turkic people who dwelled along the upper Yenisei ... Depression from the 3rd century BCE to the 13th century CE / is instance of ethnic group
9. Yenisei Range (wd:Q1686864), also known as Yeniseyskiy Kryazh: is instance of mountain system / is instance of ridge / mountains in Russia / mountains in Russia / mountains in Russia
10. Yenisei inscriptions (wd:Q6006586): Ancient Turkic inscriptions

[Assistant] Next I'll search for properties of the Yenisei item related to "country" or "flows through" to find the correct property that links the river to the countries it passes through. I'll query properties of wd:Q78707 for "country" and "flows through".

[Tool]
Top 10 property alternatives:
1. country (wd:P17 as wdt/p), also known as host country, land, sovereign state, state, P17: sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / is subproperty of located in the administrative territorial entity
2. continent (wd:P30 as wdt/p), also known as P30: is subproperty of located in/on physical feature / is subproperty of located on terrain feature / continent of which the subject is a part / continent of which the subject is a part / continent of which the subject is a part
3. located in the administrative territorial entity (wd:P131 as wdt/p, matched via region), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.: the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following administrative entity / the item is located on the territory of the following administrative entity / is subproperty of location / is subproperty of part of
4. coordinate location (wd:P625 as wdt/p, matched via location), also known as co-ordinate location, co-ordinates, coordinates, co-ords, coords, etc.: geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment / coordinates of the subject / coordinates of the subject
5. basin country (wd:P205 as wdt/p), also known as basin countries, P205: countries that have drainage to/from or border the body of ... inflows, outflows, or physically contact the body of water / country that have drainage to/from or border the body of water
6. described by source (wd:P1343 as wdt/p, matched via found in), also known as defined in, described by biography, described by encyclopedia, described by obituary, described by reference work, etc.: dictionary, encyclopaedia, etc. where this item is described / work where this item is described / is subproperty of attested in
7. topic's main category (wd:P910 as wdt/p, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
8. drainage basin (wd:P4614 as wdt/p, matched via river basin), also known as catchment area, river basin, river basin district, water basin, watershed, etc.: area where precipitation collects and drains off into a common outlet, such as into a river, bay, or other body of water / area where precipitation collects and drains off into a common outlet, such as into a river, bay, or other body of water / is subproperty of located in/on physical feature / is subproperty of located on terrain feature
9. mouth of the watercourse (wd:P403 as wdt/p, matched via outflow), also known as drain, flows into, outflow, outlet, river mouth, etc.: the body of water to which the watercourse drains / the body of water to which the watercourse drains / hydrological object
10. watershed area (wd:P2053 as wdt/p, matched via basin area), also known as basin area, catchment basin size, drainage basin size, size of watershed, P2053: size of a stream's watershed (drainage basin) / size of a stream's watershed (drainage basin) / is subproperty of area

No other items found

[Assistant] I'll list statements for the Yenisei item to see which properties link it to countries (P17) or basin countries (P205). This helps decide which property best represents "flows through". I'll call the list function constrained to the Yenisei subject.

[Tool]
Got 884 rows and 3 columns, showing the first 10 rows below:
| subject             | property                                                    | object                                                                                |
| ------------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------------------------------ |
| Yenisey (wd:Q78707) | instance of (wdt:P31)                                       | river (wd:Q4022)                                                                                |
| Yenisey (wd:Q78707) | country (wdt:P17)                                           | Russia (wd:Q159)                                                                                |
| Yenisey (wd:Q78707) | located in the administrative territorial entity (wdt:P131) | Tuva (wd:Q960)                                                                                |
| Yenisey (wd:Q78707) | coordinate location (wdt:P625)                              | POINT(94.451800 51.727900) (geo:wktLiteral)                                                      |
| Yenisey (wd:Q78707) | Commons category (wdt:P373)                                 | Yenisei River                                                                                |
| Yenisey (wd:Q78707) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Yenisey%20from%20the%20Railway%20Bridge.JPG> |
| Yenisey (wd:Q78707) | Freebase ID (wdt:P646)                                      | /m/0fp2b                                                                                |
| Yenisey (wd:Q78707) | GeoNames ID (wdtn:P1566)                                    | <https://sws.geonames.org/1485999/>                                                              |
| Yenisey (wd:Q78707) | VIAF cluster ID (wdtn:P214)                                 | <http://viaf.org/viaf/244579309>                                                                 |
| Yenisey (wd:Q78707) | GND ID (wdtn:P227)                                          | <https://d-nb.info/gnd/4109125-5>                                                                |
| ...                 | ...                                                         | ...                                                                                |

[Assistant] I will check whether the Yenisei item has a "basin country" (P205) or other properties indicating Mongolia in addition to Russia. I'll list triples for the Yenisei constrained to property P205.

[Tool]
Got 2 rows and 3 columns:
| subject             | property                 | object             |
| ------------------- | ------------------------ | ------------------ |
| Yenisey (wd:Q78707) | basin country (wdt:P205) | Russia (wd:Q159)   |
| Yenisey (wd:Q78707) | basin country (wdt:P205) | Mongolia (wd:Q711) |

[Assistant]
The item lists basin countries Russia and Mongolia. The user asked "Through which countries does the Yenisei river flow?" That likely corresponds to either "country (P17)" or "basin country (P205)". P17 only lists Russia for the main river item, but basin countries P205 includes Mongolia. The Yenisei originates in Mongolia (or tributary). To answer "through which countries does the Yenisei river flow?" it's better to use basin countries (P205) or find countries traversed by the river via "located in the administrative territorial entity (P131)" possibly via its course and tributaries; but P205 seems appropriate and returned Mongolia and Russia. I'll construct a SPARQL SELECT query returning the country IRIs for wd:Q78707 using wdt:P205. I'll include optional labels via rdfs:label in English. I'll explain before executing.
I'll run a SPARQL SELECT query that retrieves all basin countries (wdt:P205) for the Yenisei (wd:Q78707) and their English labels. This should return Russia and Mongolia. Now I'll execute that query.

[Tool]
Got 2 rows and 2 columns:
| country            | countryLabel  |
| ------------------ | ------------- |
| Mongolia (wd:Q711) | Mongolia (en) |
| Russia (wd:Q159)   | Russia (en)   |

[Assistant] The query returned Mongolia and Russia as basin countries. This matches expectations. I will now finalize by returning the SPARQL query and the answer. Per instructions, I must explain my thought process before and after each step and function call — I have been doing that. Now I'll call the answer function with the final query and the concise answer listing the countries.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?person ?personLabel ?place ?placeLabel WHERE {
  ?person wdt:P31 wd:Q5 .
  ?person wdt:P106 wd:Q33999 .
  ?person wdt:P19 ?place .
  ?place ( wdt:P17 | wdt:P131 ) * wd:Q183 .
  OPTIONAL {
    ?person rdfs:label ?personLabel .
    FILTER ( LANG( ?personLabel ) = "en" )
  }
  OPTIONAL {
    ?place rdfs:label ?placeLabel .
    FILTER ( LANG( ?placeLabel ) = "en" )
  }
}
LIMIT 200

Using entities:
Germany (wd:Q183), also known as BR Deutschland, Bundesrepublik Deutschland, Deutschland, Federal Republic of Germany
actor (wd:Q33999), also known as actors, actress, actresses, movie actress, movie actresses
human (wd:Q5), also known as human being, humans, individual Homo sapiens, individual human, modern humans, etc.

Using properties:
occupation (wd:P106 as wdt), also known as avocation, career, craft, employ, employment, etc.
located in the administrative territorial entity (wd:P131 as wdt), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.
country (wd:P17 as wdt), also known as host country, land, sovereign state, state, P17
place of birth (wd:P19 as wdt), also known as birth city, birth location, birth place, birthplace, born, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.

Got 200 rows and 4 columns, showing the first 5 and last 5 rows below:
| person                       | personLabel          | place                 | placeLabel      |
| ---------------------------- | -------------------- | --------------------- | --------------- |
| Florian Jahr (wd:Q1000015)   | Florian Jahr (en)    | Berlin (wd:Q64)       | Berlin (en)     |
| Renee Goddard (wd:Q1000204)  | Renee Goddard (en)   | Berlin (wd:Q64)       | Berlin (en)     |
| Jörg Hube (wd:Q100028)       | Jörg Hube (en)       | Neuruppin (wd:Q16085) | Neuruppin (en)  |
| Peter Buchholz (wd:Q1000416) | Peter Buchholz (en)  | Bünde (wd:Q7021)      | Bünde (en)      |
| Jona Mues (wd:Q1000748)      | Jona Mues (en)       | Hamburg (wd:Q1055)    | Hamburg (en)    |
| ...                          | ...                  | ...                   | ...             |
| Carl Kuhlmann (wd:Q1039299)  | Carl Kuhlmann (en)   | Bremen (wd:Q24879)    | Bremen (en)     |
| Karl Luley (wd:Q1039594)     | Karl Luley (en)      | Frankfurt (wd:Q1794)  | Frankfurt (en)  |
| Walter Richter (wd:Q103961)  | Walter Richter (en)  | Berlin (wd:Q64)       | Berlin (en)     |
| Gerhard Dammann (wd:Q103986) | Gerhard Dammann (en) | Cologne (wd:Q365)     | Cologne (en)    |
| Carl Napp (wd:Q1039868)      | Carl Napp (en)       | Düsseldorf (wd:Q1718) | Düsseldorf (en) |

Answer: I executed the query and it returned actor items who have a place of birth in Germany (the query follows the birthplace’s P17 or P131 links to determine if it is in Germany). The query result was limited to 200 results; example actors returned include Florian Jahr (wd:Q1000015), Renee Goddard (wd:Q1000204), Jörg Hube (wd:Q100028), Peter Buchholz (wd:Q1000416), Jona Mues (wd:Q1000748), and many others. To get more results, increase or remove the LIMIT.

[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 actors were born in Germany?

[Assistant] I will search for the Wikidata item for "actor" and the property for "place of birth" and verify the item for Germany. Then I'll build a SPARQL query that finds humans with occupation "actor" whose place of birth is Germany (or located in Germany). I'll search for the relevant entities now.

[Tool]
Top 10 entity alternatives:
1. actor (wd:Q33999), also known as actors, actress, actresses, movie actress, movie actresses: person who acts in a dramatic or comic production and works in film, television, theatre, or radio / person who acts in a dramatic or comic production and works in film, television, theatre, or radio / person who acts in a dramatic or comic production and works in film, television, theatre, or radio / person who acts in a dramatic or comic production and works in film, television, theatre, or radio / is instance of occupation group according to ISCO-08 / is subclass of creative and performing artist / is subclass of performing artist / is instance of profession / is instance of occupation
2. 12238 Actor (wd:Q2213115, matched via Actor), also known as Actor: is instance of asteroid / asteroid / asteroid / asteroid
3. Actor (wd:Q421957): actor in the Unified Modeling Language (UML) "specifies a ... a user or any other system that interacts with the subject."
4. Actor (wd:Q423424): is instance of mythological Greek character / king in Greek mythology, son of Phorbas
5. Actor (wd:Q2473937): is instance of mythological Greek character / Son of Deion, figure of Greek mythology
6. television actor (wd:Q10798782, matched via actor), also known as actor, actress, television actress, TV actor, TV actress: actor who performs on television / actor who performs on television / actor who performs on television / actor who performs on television / is instance of profession / is subclass of actor
7. Actor (wd:Q2823762), also known as Acton: is instance of mythological Greek character / king in Greek mythology, son of Myrmidon
8. actor (wd:Q421946): person performing an action / is subclass of person
9. Actor (wd:Q4677715): is instance of album / album by St. Vincent
10. .actor (wd:Q16048043), also known as dot actor: is instance of sponsored top-level domain / sponsored top-level Internet domain

[Assistant] I'll verify the items for "Germany" and the property "place of birth" exist.

[Tool]
Top 10 entity alternatives:
1. Germany (wd:Q183), also known as BR Deutschland, Bundesrepublik Deutschland, Deutschland, Federal Republic of Germany: is instance of sovereign state / country in central Europe / country in central Europe / country in Central Europe / country in Central Europe / is instance of country
2. Weimar Republic (wd:Q41304, matched via Germany), also known as German People's State, German Reich, German Republic, Germany, Republic of Germany, etc.: Germany in the years 1918/1919–1933 / Germany in the years 1918/1919–1933 / is instance of historical country / is instance of historical period
3. German Reich (wd:Q1206012, matched via Germany), also known as Deutsches Reich, German Empire, German Realm, Germany, Imperial Germany: official name for the German nation state from 1871 to 1945, and name of Germany until 1949 / official name for the German nation state from 1871 to 1945, and name of Germany until 1949 / is instance of historical country
4. Burg Drachenfels (wd:Q1011486, matched via Germany), also known as Germany: is instance of castle / is instance of Castle / castle
5. Germany (wd:Q5552078): is instance of constituency of the European Parliament / European Parliament constituency
6. Geilenkirchen-Heinsberg (wd:Q2268218, matched via Germany), also known as Germany: is instance of district of Germany
7. Germany (wd:Q18151573), also known as Germany, IN, Germany, Indiana: is instance of unincorporated community in the United States / unincorporated community in Clark County, Indiana
8. Germany (wd:Q19147844): is instance of literary work / poem by Vladimir Mayakovsky
9. Germany (wd:Q3839160), also known as Ludwig, West: is instance of animated character / Hetalia character
10. Germany (wd:Q22006587): is instance of horse / is instance of Horse / race horse

[Assistant] Next I'll verify the properties for "place of birth" and "occupation" and check their identifiers so I can use them in the query. I'll search for the properties now.

[Tool]
Top 10 property alternatives:
1. place of birth (wd:P19 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as birth city, birth location, birth place, birthplace, born, etc.: most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known birth location of a person, animal or fictional character / is subproperty of location
2. residence (wd:P551 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via hometown), also known as address, has resided in, home city, home town, hometown, etc.: the place where the person is, or has been, resident / the place where the person is or has been, resident / is subproperty of location
3. category for people born here (wd:P1464 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via category for place of birth), also known as category for place of birth, category of people born here, P1464: category item that groups people born in this place / category item that groups people born in this place / is subproperty of related category
4. location of formation (wd:P740 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via place of formation), also known as comes from, formation location, formation place, formed in, founded in, etc.: location where a group or organisation was formed / location where a group or organization was formed / is subproperty of location of creation
5. location of creation (wd:P1071 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via place of origin), also known as assembly location, built at, built in, composed at, created at, etc.: place where the item was conceived or made; where applicable, location of final assembly / is subproperty of significant place
6. country of origin (wd:P495 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via place of origin), also known as comes from, CoO, country, originates from, origin country, etc.: country of origin of this item (creative work, food, phrase, product, etc.) / country of origin of this item (creative work, food, phrase, product, etc.) / country of origin of this item (creative work, food, phrase, product, etc.) / is subproperty of significant place / is subproperty of country
7. ranking (wd:P1352 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via place), also known as peak position, place, placing, position, rank, etc.: subject's ordinal position as qualitatively evaluated relative to other members of a group / the subject's position in the specified rank
8. location (wd:P276 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via place), also known as based in, city, from, held by, in, etc.: location of the object, structure or event. In the case of an ... use P706. Use P7153 for locations associated with the object / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706. / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706.
9. applies to jurisdiction (wd:P1001 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via of place), also known as applicable area, applicable country, applicable geographic place, applicable jurisdiction, applicable location, etc.: the item (institution, law, public office, public ... jurisdiction: a country, state, municipality, ...) / the item (an institution, law, public office ...) or ... jurisdiction: a country, state, municipality, ...) / is subproperty of characteristic of / is subproperty of significant place / is subproperty of operating area
10. work location (wd:P937 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via location), also known as active in, conducts business at, conducts business in, did work at, did work from, etc.: location where persons or organisations were actively participating in employment, business or other work / is subproperty of significant place / location where persons were active / is subproperty of location

[Assistant]
We have the necessary items: actor (wd:Q33999), Germany (wd:Q183), place of birth property (wdt:P19). Next I'll build a SPARQL query to find humans (?person instance of human) with occupation actor and place of birth located in Germany. I need to consider that place of birth might be a city that is located in Germany (via P17 country property or located in?). The simplest approach: match ?person wdt:P19 ?place . Then require that ?place wdt:P17 wd:Q183 (country of citizenship? no P17 is country). Or place might be an administrative territory with P131? But commonly birth place is a city that has country P17 Germany. So include optional path: either place equals Germany directly or place has P17 Germany or place is located in administrative territorial entity within Germany. Use property P17 (country) or P131 (located in the administrative territorial entity) transitive? Better to include triples that check whether ?place (or its administrative entity chain) has country Germany. Could use a property path: ?place (wdt:P17|wdt:P131)* wd:Q183 . But wdt properties are not allowed in property paths? They are IRIs; property paths work. Yes wdt:P17 and wdt:P131 used within path. So pattern: ?person wdt:P31 wd:Q5 . ?person wdt:P106 wd:Q33999 . ?person wdt:P19 ?place . ?place (wdt:P17|wdt:P131)* wd:Q183 . Also include label optional.

We must follow rule: explain thought process before and after each step and function call. So before executing final query explain steps and call functions.execute. Also must verify identifiers existence? We have earlier results confirming. Also requirement: always execute final SPARQL query before giving an answer. So we will run the query and then present results. Need to use functions.execute tool.

Also the query should return actual IRIs of the items. So include ?person as result and maybe ?personLabel optionally via rdfs:label. But must use optional clause and rdfs:label in English?? Use OPTIONAL { ?person rdfs:label ?personLabel . FILTER(LANG(?personLabel) = "en") } Similar for place label.

Now prepare the query.

Construct SPARQL:

SELECT DISTINCT ?person ?personLabel ?place ?placeLabel WHERE {
  ?person wdt:P31 wd:Q5 .
  ?person wdt:P106 wd:Q33999 .
  ?person wdt:P19 ?place .
  ?place (wdt:P17|wdt:P131)* wd:Q183 .
  OPTIONAL { ?person rdfs:label ?personLabel . FILTER(LANG(?personLabel)="en") }
  OPTIONAL { ?place rdfs:label ?placeLabel . FILTER(LANG(?placeLabel)="en") }
}
LIMIT maybe 100

We should not put SERVICE. Good.

Now explain thought process before calling the function. Then call functions.execute.

Let's do that.

I'll run a SPARQL query that finds human beings (wd:Q5) whose occupation (wdt:P106) is actor (wd:Q33999) and whose place of birth (wdt:P19) is either Germany itself or a place located in Germany. I use a property path on the birth place to follow country (wdt:P17) or administrative-entity (wdt:P131) links to Germany (wd:Q183). I'll request the person and place IRIs and English labels. Now I'll execute the query.

[Tool]
Got 200 rows and 4 columns, showing the first 5 and last 5 rows below:
| person                       | personLabel          | place                 | placeLabel      |
| ---------------------------- | -------------------- | --------------------- | --------------- |
| Florian Jahr (wd:Q1000015)   | Florian Jahr (en)    | Berlin (wd:Q64)       | Berlin (en)     |
| Renee Goddard (wd:Q1000204)  | Renee Goddard (en)   | Berlin (wd:Q64)       | Berlin (en)     |
| Jörg Hube (wd:Q100028)       | Jörg Hube (en)       | Neuruppin (wd:Q16085) | Neuruppin (en)  |
| Peter Buchholz (wd:Q1000416) | Peter Buchholz (en)  | Bünde (wd:Q7021)      | Bünde (en)      |
| Jona Mues (wd:Q1000748)      | Jona Mues (en)       | Hamburg (wd:Q1055)    | Hamburg (en)    |
| ...                          | ...                  | ...                   | ...             |
| Carl Kuhlmann (wd:Q1039299)  | Carl Kuhlmann (en)   | Bremen (wd:Q24879)    | Bremen (en)     |
| Karl Luley (wd:Q1039594)     | Karl Luley (en)      | Frankfurt (wd:Q1794)  | Frankfurt (en)  |
| Walter Richter (wd:Q103961)  | Walter Richter (en)  | Berlin (wd:Q64)       | Berlin (en)     |
| Gerhard Dammann (wd:Q103986) | Gerhard Dammann (en) | Cologne (wd:Q365)     | Cologne (en)    |
| Carl Napp (wd:Q1039868)      | Carl Napp (en)       | Düsseldorf (wd:Q1718) | Düsseldorf (en) |

[Assistant] I will now provide the final SPARQL query (the one I executed) and summarize the results I obtained.

[Tool] Stopping