PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?occupation ?occupationLabel WHERE {
  wd:Q302 wdt:P106 ?occupation .
  OPTIONAL {
    ?occupation rdfs:label ?occupationLabel FILTER ( LANG( ?occupationLabel ) = "en" )
  }
}
ORDER BY ?occupationLabel

Using entities:
Jesus (wd:Q302), also known as Christ, Christ Jesus, God the Son, Jesus Christ, Jesus Christ of Nazareth, etc.

Using properties:
occupation (wd:P106 as wdt), also known as avocation, career, craft, employ, employment, etc.

Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| occupation                      | occupationLabel       |
| ------------------------------- | --------------------- |
| carpenter (wd:Q154549)          | carpenter (en)        |
| father of faith (wd:Q2142783)   | father of faith (en)  |
| healer (wd:Q2518689)            | healer (en)           |
| Messiah (wd:Q51626)             | Messiah (en)          |
| pastor (wd:Q352507)             | pastor (en)           |
| ...                             | ...                   |
| rabbi (wd:Q133485)              | rabbi (en)            |
| religious leader (wd:Q15995642) | religious leader (en) |
| teacher (wd:Q37226)             | teacher (en)          |
| tektōn (wd:Q7695510)            | tektōn (en)           |
| thaumaturge (wd:Q1349880)       | thaumaturge (en)      |

Answer: According to Wikidata (item wd:Q302, "Jesus"), the occupations listed are: carpenter (wd:Q154549), father of faith (wd:Q2142783), healer (wd:Q2518689), Messiah (wd:Q51626), pastor (wd:Q352507), preacher (wd:Q1046486), prophet (wd:Q49757), rabbi (wd:Q133485), religious leader (wd:Q15995642), teacher (wd:Q37226), tektōn (wd:Q7695510), and thaumaturge (wd:Q1349880).

[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 did jesus do for living?

[Assistant] Step 1: I'll search for the Wikidata item for "Jesus" (likely "Jesus of Nazareth") to find the correct entity I should query. I'll call the entity search function now.

[Tool]
Top 10 entity alternatives:
1. Jesus (wd:Q302), also known as Christ, Christ Jesus, God the Son, Jesus Christ, Jesus Christ of Nazareth, etc.: central figure of Christianity (6 or 4 BC – AD 30 or 33) / central figure of Christianity (6 or 4 BC – AD 30 or 33) / is instance of human biblical character / has occupation founder of a religion / is instance of human biblical figure / has occupation religious leader / has occupation father of faith / central figure of Christianity / has occupation thaumaturge / has occupation carpenter / has occupation Carpentry / has occupation preacher / has occupation teacher / has occupation prophet / has occupation Messiah / has occupation pastor / has occupation tektōn / has occupation healer / has occupation rabbi / has occupation Rabbi / is instance of human
2. Jesus in Islam (wd:Q51664, matched via Jesus), also known as Isa, Isa Masih, Jesus, ʿĪsā ibn Maryam: penultimate prophet and eschatological figure in Islam / is instance of human whose existence is disputed / is instance of Quranic character / has occupation missionary / has occupation Missionary / is instance of Mukarrabun / is instance of Ulu'l-azm / has occupation preacher / is instance of rasul
3. Jesus (wd:Q575248), also known as The Jesus Film, Word-for-Word, the Bible on Video: Gospel of Luke: 1979 film directed by Peter Sykes and John Krish / is instance of film
4. Jesus (wd:Q614950): 1999 Biblical telefilm directed by Roger Young / is instance of television film / is instance of Television film
5. Jesus (wd:Q1158269), also known as Jesus (first name), Jesus (given name): is instance of male given name / male given name / male given name / male given name
6. Jesús (wd:Q125646), also known as Jesus, Jesus, Peru, Jesús, Peru: human settlement in Peru / is instance of city
7. Jesús (wd:Q1688403), also known as Jesus, Jesus de Tavarangue, Jesús de Tavarangüé, Jesus, Paraguay, Jesús, Paraguay: is instance of Districts of Paraguay / is instance of district of Paraguay / district of Paraguay
8. Jesús (wd:Q27959449): 2016 film by Fernando Guzzoni / is instance of film
9. Aaron Aguilera (wd:Q2544720, matched via Jesús), also known as Jesús, Lujo Esquire, Uno, Zodiac: American professional wrestler and actor / has occupation professional wrestler / has occupation television actor / has occupation film actor / is instance of human
10. Jesús (wd:Q3808184), also known as Jesus de Santa Barbara, Jesús de Santa Bárbara, Jesús District, Santa Bárbara: district in Santa Bárbara canton, Heredia province, Costa Rica / is instance of district of Costa Rica

[Assistant] Next, I'll inspect properties of the Wikidata item wd:Q302 (Jesus) to find occupation (likely P106) and see the values. I'll list triples with wd:Q302 as subject.

[Tool]
Got 2,456 rows and 3 columns, showing the first 10 rows below:
| subject         | property                         | object                                                                               |
| --------------- | -------------------------------- | ------------------------------------------------------------------------------------ |
| Jesus (wd:Q302) | instance of (wdt:P31)            | human biblical figure (wd:Q20643955)                                                 |
| Jesus (wd:Q302) | occupation (wdt:P106)            | rabbi (wd:Q133485)                                                                   |
| Jesus (wd:Q302) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                   |
| Jesus (wd:Q302) | given name (wdt:P735)            | Yeshua (wd:Q13395199)                                                                |
| Jesus (wd:Q302) | date of birth (wdt:P569)         | -0004-01-01T00:00:00Z (xsd:dateTime)                                                 |
| Jesus (wd:Q302) | Commons category (wdt:P373)      | Jesus Christ                                                                         |
| Jesus (wd:Q302) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Spas%20vsederzhitel%20sinay.jpg> |
| Jesus (wd:Q302) | family name (p:P734)             | s:Q302-d1a1b5e0-404c-ad6f-9587-6186b7a384d9                                          |
| Jesus (wd:Q302) | country of citizenship (wdt:P27) | Herodian Kingdom of Judea (wd:Q16000109)                                             |
| Jesus (wd:Q302) | Freebase ID (wdt:P646)           | /m/045m1_                                                                            |
| ...             | ...                              | ...                                                                                |

[Assistant] I'll query Wikidata for the occupations (property P106) of the Wikidata item for Jesus (wd:Q302). I'll request the occupation IRIs and English labels (labels are optional and in an OPTIONAL clause). Now I'll execute a SPARQL SELECT query to retrieve them.

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| occupation                      | occupationLabel       |
| ------------------------------- | --------------------- |
| carpenter (wd:Q154549)          | carpenter (en)        |
| father of faith (wd:Q2142783)   | father of faith (en)  |
| healer (wd:Q2518689)            | healer (en)           |
| Messiah (wd:Q51626)             | Messiah (en)          |
| pastor (wd:Q352507)             | pastor (en)           |
| ...                             | ...                   |
| rabbi (wd:Q133485)              | rabbi (en)            |
| religious leader (wd:Q15995642) | religious leader (en) |
| teacher (wd:Q37226)             | teacher (en)          |
| tektōn (wd:Q7695510)            | tektōn (en)           |
| thaumaturge (wd:Q1349880)       | thaumaturge (en)      |

[Assistant] I'll run a final SPARQL SELECT to retrieve all occupations (property P106) for the Wikidata item for Jesus (wd:Q302), returning the occupation IRIs and English labels. This verifies the exact items to report. I'll execute the query now.

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| occupation                      | occupationLabel       |
| ------------------------------- | --------------------- |
| carpenter (wd:Q154549)          | carpenter (en)        |
| father of faith (wd:Q2142783)   | father of faith (en)  |
| healer (wd:Q2518689)            | healer (en)           |
| Messiah (wd:Q51626)             | Messiah (en)          |
| pastor (wd:Q352507)             | pastor (en)           |
| ...                             | ...                   |
| rabbi (wd:Q133485)              | rabbi (en)            |
| religious leader (wd:Q15995642) | religious leader (en) |
| teacher (wd:Q37226)             | teacher (en)          |
| tektōn (wd:Q7695510)            | tektōn (en)           |
| thaumaturge (wd:Q1349880)       | thaumaturge (en)      |

[Assistant] Now I will prepare the final SPARQL query to return the occupations of Jesus (wd:Q302) including occupation IRIs and optional English labels. Then I'll call the answer function with that query and present the answer to the user summarizing what Jesus did for a living according to Wikidata.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?venue ?venueLabel WHERE {
  wd:Q599903 wdt:P115 ?venue .
  OPTIONAL {
    ?venue rdfs:label ?venueLabel FILTER ( LANG( ?venueLabel ) = "en" )
  }
}

Using entities:
Ireland rugby union team (wd:Q599903), also known as Ireland national rugby team, Ireland national rugby union team

Using properties:
home venue (wd:P115 as wdt), also known as arena, ballpark, ground, home field, home ground, etc.

Answer: The Ireland national rugby union team (wd:Q599903) plays its home matches at Aviva Stadium (wd:Q244402).

[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] where do ireland play rugby union?

[Assistant] I will first search Wikidata for the Ireland national rugby union team item to find its identifier. Then I'll look for properties that indicate their home stadium or venue for home matches. I'll explain each step and run SPARQL queries to verify properties and final results. I'll start by searching for the team entity.

[Tool]
Top 10 entity alternatives:
1. Ireland rugby union team (wd:Q599903, matched via Ireland national rugby union team), also known as Ireland national rugby team, Ireland national rugby union team: Men’s rugby union team representing the island of Ireland / Men’s rugby union team representing the island of Ireland / is instance of national rugby union team
2. Ireland women's national rugby union team (wd:Q3589823): women’s rugby union team representing the island of Ireland / is instance of women's national rugby union team
3. Ireland national rugby union sevens team (wd:Q7902223), also known as Ireland national rugby sevens team, Ireland sevens rugby team: is instance of national rugby sevens team / national sevens rugby team
4. Ireland national under-20 rugby union team (wd:Q6068684): is instance of national youth sports team / is instance of rugby union team / rugby team
5. Ireland national schoolboy rugby union team (wd:Q6068681): is instance of national youth sports team / is instance of rugby union team / sports team
6. Ireland women's national rugby union sevens team (wd:Q6068719), also known as Ireland women's national sevens team: is instance of women's national rugby sevens team / sevens national rugby team
7. History of the Ireland national rugby union team (wd:Q23808242): is instance of history
8. Soviet Union national rugby union team (wd:Q1606325), also known as USSR national rugby union team: is instance of national rugby union team / rugby team
9. England national rugby union team (wd:Q378628), also known as England national rugby team, England Rugby, England rugby team, England rugby union team: Men’s rugby union team representing England / Men’s rugby union team representing England / Men’s rugby union team representing England / is instance of national rugby union team
10. South Africa national rugby union team (wd:Q498478, matched via SA national rugby union team), also known as Bokke, SA national rugby union team, SA rugby team, SA rugby union team, South Africa national rugby union, etc.: national rugby union team representing South Africa / is instance of national rugby union team

[Assistant] I'll look for properties of the Ireland rugby union team related to home venue/stadium. I'll search properties of the team for keywords like "home", "stadium", "ground", or "venue".

[Tool]
Top 10 property alternatives:
1. ranking (wd:P1352 as p/wdt, 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
2. location (wd:P276 as p/wdt, 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.
3. country (wd:P17 as p/wdt), 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
4. official website (wd:P856 as p/wdt, matched via homepage), also known as home page, homepage, home page (official), homepage (official), official homepage, etc.: URL of the official page of an item (current or former). ... see the "Hijacked or dead websites" section of the Talk page / is subproperty of URL
5. home venue (wd:P115 as p/wdt, matched via home ground), also known as arena, ballpark, ground, home field, home ground, etc.: home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / is subproperty of location
6. topic's main category (wd:P910 as p/wdt, 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. operating area (wd:P2541 as p/wdt, matched via place of activity), also known as area of operations, area of responsibility, area operated, area served, areas served, etc.: geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for / geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for / geographic area or jurisdiction an organization or industry operates in, serves, or has responsibility for / is subproperty of location
8. Commons category (wd:P373 as p/wdt, matched via category Commons), also known as category Commons, category on Commons, category on Wikimedia Commons, category Wikipedia Commons, commonscat, etc.: name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category")
9. inception (wd:P571 as p/wdt, 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
10. different from (wd:P1889 as p/wdt, 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

No other items found

[Assistant] I'll query Wikidata for the home venue(s) (property P115) of the Ireland men's national rugby union team (wd:Q599903). I'll request the venue IRIs and include English labels in an OPTIONAL clause. Now I'll run that SPARQL query.

[Tool]
Got 1 row and 2 columns:
| venue                      | venueLabel         |
| -------------------------- | ------------------ |
| Aviva Stadium (wd:Q244402) | Aviva Stadium (en) |

[Assistant]
Explanation of steps and results:

1) I searched for the Wikidata item for the Ireland national rugby union team.
- Before the call: I planned to find the team entity to use it in queries.
- After the call: The search returned "Ireland rugby union team" wd:Q599903 as the correct item.

2) I searched for relevant properties of that team to find how the home venue is represented.
- Before the call: I planned to look for properties like "home", "stadium", "venue".
- After the call: The property "home venue" (wdt:P115) was identified as the appropriate property to use.

3) I queried Wikidata for the team's home venue(s).
- Before the call: I planned a SPARQL query asking for wd:Q599903 wdt:P115 ?venue and to fetch English labels optionally.
- After the call: The query returned one row: Aviva Stadium (wd:Q244402).

Final SPARQL query (returns the venue IRI and its English label if available):
SELECT ?venue ?venueLabel WHERE {
  wd:Q599903 wdt:P115 ?venue .
  OPTIONAL { ?venue rdfs:label ?venueLabel FILTER(LANG(?venueLabel) = "en") }
}

Now I will provide the final answer based on that query.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?team ?teamLabel WHERE {
  wd:Q119562 wdt:P54 ?team .
  OPTIONAL {
    ?team rdfs:label ?teamLabel .
    FILTER ( LANG( ?teamLabel ) = "en" )
  }
}
ORDER BY ?teamLabel

Using entities:
Sergio Agüero (wd:Q119562), also known as Kun Agüero, Sergio Leonel Agüero del Castillo

Using properties:
member of sports team (wd:P54 as wdt), also known as club played for, member of team, of team, part of team, played for, etc.

Got 8 rows and 2 columns:
| team                                                           | teamLabel                                               |
| -------------------------------------------------------------- | ------------------------------------------------------- |
| Argentina men's national association football team (wd:Q79800) | Argentina men's national association football team (en) |
| Argentina national under-17 football team (wd:Q2902690)        | Argentina national under-17 football team (en)          |
| Argentina national under-20 football team (wd:Q1187790)        | Argentina national under-20 football team (en)          |
| Argentina national under-23 football team (wd:Q2462207)        | Argentina national under-23 football team (en)          |
| Atlético de Madrid (wd:Q8701)                                  | Atlético de Madrid (en)                                 |
| Club Atlético Independiente (wd:Q214978)                       | Club Atlético Independiente (en)                        |
| FC Barcelona (wd:Q7156)                                        | FC Barcelona (en)                                       |
| Manchester City F.C. (wd:Q50602)                               | Manchester City F.C. (en)                               |

Answer:
Sergio Agüero (wd:Q119562) has been a member of the following teams (IRIs and English labels):
- wd:Q79800 — Argentina men's national association football team
- wd:Q2902690 — Argentina national under-17 football team
- wd:Q1187790 — Argentina national under-20 football team
- wd:Q2462207 — Argentina national under-23 football team
- wd:Q8701 — Atlético de Madrid
- wd:Q214978 — Club Atlético Independiente
- wd:Q7156 — FC Barcelona
- wd:Q50602 — Manchester City F.C.

[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 team did aguero play for?

[Assistant] I will first search Wikidata for entities matching "Aguero" to identify which Aguero the user likely means (e.g., Sergio Agüero). Then I'll inspect that entity to find properties for the teams he played for (club teams and possibly national team). I'll run queries step by step and explain each step and result.

[Tool]
Top 10 entity alternatives:
1. Agüero (wd:Q399683), also known as Agüero, Huesca: municipality in the province of Huesca, Spain / is instance of municipality of Aragon / municipality of Spain / municipality of Spain
2. Agüero (wd:Q3296607): is instance of underground station / metro station in Buenos Aires / is instance of metro station
3. Agüero (wd:Q24013451): is instance of populated place nucleus / is instance of municipality capital / is instance of human settlement / in Huesca province, Spain
4. Agüero (wd:Q61754610): is instance of toponymic surname / is instance of family name / is instance of surname / family name / family name / surname
5. Aguero (wd:Q21491256): is instance of toponymic surname / is instance of family name / is instance of surname / family name / family name / surname
6. Blanka Aguero (wd:Q21608757, matched via Aguero), also known as Aguero, Blanka Shaw, B.Shaw: has occupation bryologist / has occupation botanist / is instance of human / botanist
7. Sergio Agüero (wd:Q119562), also known as Kun Agüero, Sergio Leonel Agüero del Castillo: has occupation association football player / Argentine association football player / has occupation online streamer / has occupation businessperson / has occupation soccer player / is instance of human / Argentine footballer / Argentine footballer
8. Taismary Agüero (wd:Q2590488): has occupation beach volleyball player / has occupation volleyball player / is instance of human / volleyball player
9. Fernando Agüero (wd:Q888684): has occupation politician / politician (1920-2011) / is instance of human
10. Rubén Agüero (wd:Q3942191), also known as Rubén José Agüero: has occupation association football player / Argentinian association football player / Argentinian association football player / Argentinian association football player / has occupation soccer player / is instance of human

[Assistant] Next I will look up the clubs (member of sports team — property P54) for Sergio Agüero (wd:Q119562) to get the teams he played for. I'll request the direct P54 statements.

[Tool]
Got 8 rows and 3 columns:
| subject                    | property                        | object                                                         |
| -------------------------- | ------------------------------- | -------------------------------------------------------------- |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | FC Barcelona (wd:Q7156)                                        |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | Manchester City F.C. (wd:Q50602)                               |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | Atlético de Madrid (wd:Q8701)                                  |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | Argentina men's national association football team (wd:Q79800) |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | Argentina national under-20 football team (wd:Q1187790)        |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | Club Atlético Independiente (wd:Q214978)                       |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | Argentina national under-23 football team (wd:Q2462207)        |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | Argentina national under-17 football team (wd:Q2902690)        |

[Assistant] I'll run a SPARQL query to get all teams (property P54 "member of sports team") that Sergio Agüero (wd:Q119562) played for. The query will return the IRIs of the teams and their English labels (when available). Now I'll execute that query.

[Tool]
Got 8 rows and 2 columns:
| team                                                           | teamLabel                                               |
| -------------------------------------------------------------- | ------------------------------------------------------- |
| Argentina men's national association football team (wd:Q79800) | Argentina men's national association football team (en) |
| Argentina national under-17 football team (wd:Q2902690)        | Argentina national under-17 football team (en)          |
| Argentina national under-20 football team (wd:Q1187790)        | Argentina national under-20 football team (en)          |
| Argentina national under-23 football team (wd:Q2462207)        | Argentina national under-23 football team (en)          |
| Atlético de Madrid (wd:Q8701)                                  | Atlético de Madrid (en)                                 |
| Club Atlético Independiente (wd:Q214978)                       | Club Atlético Independiente (en)                        |
| FC Barcelona (wd:Q7156)                                        | FC Barcelona (en)                                       |
| Manchester City F.C. (wd:Q50602)                               | Manchester City F.C. (en)                               |

[Assistant] I'll now finalize by returning the SPARQL query I executed and the answer derived from its results. The query lists all teams (wdt:P54) that Sergio Agüero (wd:Q119562) has been a member of, returning team IRIs and English labels when available.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?language ?languageLabel WHERE {
  wd:Q155 wdt:P37 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
    FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Using entities:
Brazil (wd:Q155), also known as br, Brasil, Federative Republic of Brazil

Using properties:
official language (wd:P37 as wdt), also known as language official, language spoken, speaking, spoken in, P37

Got 1 row and 2 columns:
| language              | languageLabel   |
| --------------------- | --------------- |
| Portuguese (wd:Q5146) | Portuguese (en) |

Answer: The official language of Brazil is Portuguese (wd:Q5146). The SPARQL query used retrieves wd:Q5146 as the value of P37 (official language) for wd:Q155 (Brazil).

what is the official language of brazil now?

[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 official language of brazil now?

[Assistant] Step 1 — I'll search for the Wikidata entity for "Brazil" to get its identifier and confirm I'm targeting the right item. I will call the entity search tool next.

[Tool]
Top 10 entity alternatives:
1. Brazil (wd:Q155), also known as br, Brasil, Federative Republic of Brazil: is instance of Federal republic / is instance of federal republic / is instance of sovereign state / is instance of secular state / is instance of Secular state / is instance of rule of law / country in South America / country in South America / country in South America / country in South America / is instance of country
2. Brazil (wd:Q25057): 1985 dystopian film by Terry Gilliam / is instance of film
3. Brazil (wd:Q1998364), also known as Brazil, IN, Brazil, Indiana: city in Clay County, Indiana, United States / is instance of city in the United States / is instance of city of the United States
4. State of Brazil (wd:Q11876909, matched via Brazil), also known as Brazil, Colonial Brazil, Portuguese Brazil: is instance of historical country / state of the Portuguese Empire
5. Brazil (wd:Q4958616), also known as Stars and Guitars: 1944 film by Joseph Santley / is instance of film
6. Brazil (wd:Q17511873), also known as Brazil, IA: is instance of unincorporated community in the United States / human settlement in Appanoose County, Iowa, United States
7. Viceroyalty of Brazil (wd:Q2920081, matched via Brazil), also known as Brasil, Brazil: Portuguese viceroyalty in Brazil 1763-1815 / is instance of viceroyalty / is instance of Viceroyalty
8. Brazil (wd:Q13581616): is instance of musical work/composition / 1991 song by Bebi Dol
9. Brazil (wd:Q4095706): is instance of written work / 1994 novel by John Updike
10. Brésil (balloon) (wd:Q115682559, matched via Brazil), also known as Brazil: is instance of balloon / Spherical balloon

[Assistant] I'll search for the property corresponding to "official language" in Wikidata to confirm its identifier.

[Tool]
Top 10 property alternatives:
1. official language (wd:P37 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as language official, language spoken, speaking, spoken in, P37: language designated as official by this item / language designated as official by this item / language designated as official by this item / language designated as official by this item / is subproperty of language used
2. native label (wd:P1705 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via official language name), also known as autonym, label in official language, label in original language, name in official language, name in original language, etc.: label for the items in their official language (P37) or their original language (P364) / label for the items in their official language (P37) or their original language (P364) / label for the items in their official language (P37) or their original language (P364) / label for the items in their official language  or their original language / is subproperty of name
3. original language of film or TV show (wd:P364 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via original language), also known as created on language, language of the original work, media language, original language, P364: language in which a film or a performance work was originally ... and songs; use P407 ("language of work or name") instead. / language in which a film or a performance work was originally ... written works; use P407 ("language of work or name") instead. / language in which a film or a performance work was originally ... written works; use P407 ("language of work or name") instead. / is subproperty of language of work or name
4. language used (wd:P2936 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via working language), also known as languages used, medium of instruction, used language, uses language, working language, etc.: language widely used (spoken or written) in this place or at this event or organisation
5. native language (wd:P103 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via first language), also known as first language, L1 speaker of, language native, mother tongue, P103: language or languages a person has learned from early childhood / is subproperty of languages spoken, written or signed / language or languages a person has learned from birth / language or languages a person has learned from birth
6. language regulatory body (wd:P1018 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via language authority), also known as language authority, regulatory body, P1018: regulatory body of a language
7. language of work or name (wd:P407 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via used language), also known as audio language, available in, broadcasting language, language, language of name, etc.: language associated with this creative work (such as books, ... (P103) and "languages spoken, written or signed" (P1412)) / language associated with this creative work (such as books, ... (P103) and "languages spoken, written or signed" (P1412)) / language associated with this work or name (for persons use P103 and P1412)
8. languages spoken, written or signed (wd:P1412 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via used language), also known as language, language of expression, language read, language signed, languages of expression, etc.: language(s) that a person or a people speaks, writes or signs, including the native language(s) / language(s) that a person speaks or writes, including the native language(s) / language(s) that a person speaks or writes, including the native language(s)
9. programmed in (wd:P277 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via language), also known as language, programming language, written in, P277: the programming language(s) in which the software is developed
10. Ethnologue language status (wd:P3823 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via language status), also known as EGIDS, language status, P3823: language status identifier by Ethnologue.com using EGIDS scale / language status identifier by Ethnologue.com using EGIDS scale

[Assistant] Step 3 — I'll run a SPARQL query that retrieves the values of the "official language" property (P37) for Brazil (wd:Q155), and also request English labels for the languages. This will verify the current official language(s) recorded on Wikidata. Now I'll execute that query.

[Tool]
Got 1 row and 2 columns:
| language              | languageLabel   |
| --------------------- | --------------- |
| Portuguese (wd:Q5146) | Portuguese (en) |

[Assistant]
I will provide the final SPARQL query I executed and the answer found. My previous steps:
- Searched for the Wikidata entity for "Brazil" and confirmed it's wd:Q155.
- Searched for the property "official language" and confirmed it's P37.
- Queried wd:Q155 wdt:P37 to get the official language(s) and executed the query; it returned Portuguese (wd:Q5146).

Now I'll deliver the final SPARQL query and the answer.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?place ?placeLabel ?postalCode WHERE {
  BIND( wd:Q653636 AS ?place ) .
  ?place wdt:P281 ?postalCode .
  OPTIONAL {
    ?place rdfs:label ?placeLabel FILTER ( LANG( ?placeLabel ) = "en" )
  }
}
ORDER BY ?postalCode

Using entities:
Morgantown (wd:Q653636), also known as Morgantown, West Virginia, Morgantown, WV

Using properties:
postal code (wd:P281 as wdt), also known as pincode, PIN Code, postal index number, post code, postcode, etc.

Answer: According to Wikidata, Morgantown, West Virginia (wd:Q653636) has the following postal codes: 26501, 26501–26508, 26504, 26506.

[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 zip code for morgantown wv?

[Assistant] I will search Wikidata for the entity representing Morgantown, West Virginia, then look up its postal code (ZIP code) properties. I'll first find the city item in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Morgantown (wd:Q653636, matched via Morgantown, West Virginia), also known as Morgantown, West Virginia, Morgantown, WV: city in and county seat of Monongalia County, West Virginia, United States / is instance of city of the United States / is instance of city in the United States / is instance of county seat
2. Sunnyside, Morgantown, West Virginia (wd:Q130619012): unincorporated community in West Virginia, United States / is instance of administrative territorial entity
3. Mayor of Morgantown, West Virginia (wd:Q108918029), also known as Mayor of Morgantown: is subclass of mayor of a place in West Virginia / political office in the United States / is instance of public office
4. West Virginia Junior College at Morgantown (wd:Q7986858): is instance of private for-profit educational institution / is instance of junior college
5. Weston (wd:Q2532326, matched via Weston, West Virginia), also known as Weston, West Virginia, Weston, WV: is instance of city of the United States / is instance of city in the United States / city in West Virginia, United States
6. Third Workshop on Enabling Technologies: Infrastructure for ... WET-ICE 1994,, Morgantown, WV, USA, 17-19 April, 1994 (wd:Q106243824, matched via 3rd WETICE 1994: Morgantown, West Virginia, USA), also known as 3rd WETICE 1994: Morgantown, West Virginia, USA: is instance of academic workshop / academic workshop / academic workshop
7. Virginia v. West Virginia (wd:Q7934721): 1871 United States Supreme Court case / is instance of legal case
8. Virginia v. West Virginia (wd:Q19114898): is instance of United States Supreme Court decision / United States Supreme Court case / is instance of legal case
9. Virginia v. West Virginia (wd:Q19048835): is instance of legal case
10. Virginia v. West Virginia (wd:Q19048861): is instance of legal case

[Assistant] I'll query Wikidata for postal code (property P281) values for the Morgantown, West Virginia item (wd:Q653636). I'll request labels as optional. Now I'll run a SPARQL query to get all P281 values for that item.

[Tool]
Got 4 rows and 2 columns:
| zip         | zipLabel |
| ----------- | -------- |
| 26501       |          |
| 26501–26508 |          |
| 26504       |          |
| 26506       |          |

[Assistant] I'll run a final SPARQL query that returns the Wikidata item identifier for Morgantown (wd:Q653636) together with all values of the postal code property (P281). This will verify and return the ZIP code literals present in Wikidata for Morgantown, West Virginia. Now I will execute that query and provide the results.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?event ?eventLabel ?end ?date ?start WHERE {
  ?event wdt:P1346 wd:Q203008 .
  OPTIONAL {
    ?event wdt:P31 ?type .
  }
  OPTIONAL {
    ?event wdt:P580 ?start
  }
  OPTIONAL {
    ?event wdt:P582 ?end
  }
  OPTIONAL {
    ?event wdt:P585 ?date
  }
  OPTIONAL {
    ?event rdfs:label ?eventLabel FILTER ( LANG( ?eventLabel ) = "en" )
  }
  FILTER ( EXISTS {
    ?event wdt:P31 wd:Q211872
  }
  || CONTAINS( LCASE( COALESCE ( ?eventLabel , "" ) ) , "playoff" ) || CONTAINS( LCASE( COALESCE ( ?eventLabel , "" ) ) , "finals" ) || CONTAINS( LCASE( COALESCE ( ?eventLabel , "" ) ) , "conference" ) ) BIND( COALESCE ( ?end , ?date , ?start ) AS ?d )
}
ORDER BY DESC ( ?d )
LIMIT 1

Using entities:
Los Angeles Kings (wd:Q203008), also known as LA Kings
Stanley Cup (wd:Q211872), also known as Dominion Hockey Challenge Cup, Lord Stanley's Cup, Lord Stanley's Mug

Using properties:
winner (wd:P1346 as wdt), also known as 1st place medalist, awardee, champ, champion, has winner, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
start time (wd:P580 as wdt), also known as began, beginning, building date, effective, effectivity, etc.
end time (wd:P582 as wdt), also known as abolished, cease date, cease operation, cease time, closed, etc.
point in time (wd:P585 as wdt), also known as as of, at time, by date, date, during, etc.

Answer: The query shows the most recent playoff-related event the LA Kings won is the 2014 Stanley Cup Finals (wd:Q16958416); the series ended on 2014-06-13, so the last time they won a playoff series was 13 June 2014 (2014).

when was the last time the la kings won a playoff series?

[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 was the last time the la kings won a playoff series?

[Assistant] I'll search for the Wikidata item for the Los Angeles Kings, then look for playoff series wins or their playoff match records. I'll start by finding the team entity.

[Tool]
Top 10 entity alternatives:
1. Los Angeles Kings (wd:Q203008), also known as LA Kings: hockey team of the National Hockey League / is instance of ice hockey team
2. Los Angeles Kings Monument (wd:Q114414620): monument in Los Angeles, California, U.S / is instance of monument
3. 2011–12 Los Angeles Kings season (wd:Q3468052), also known as 2011-12 Los Angeles Kings season: NHL team season; 2012 Stanley Cup Champions / is instance of ice hockey team season / is instance of season
4. 2013–14 Los Angeles Kings season (wd:Q16245445): NHL team season; 2014 Stanley Cup Champions / is instance of ice hockey team season
5. 2016–17 Los Angeles Kings season (wd:Q24891849): is instance of ice hockey team season / national Hockey League team season
6. 2022–23 Los Angeles Kings season (wd:Q113365035): is instance of sports season of a sports club / professional ice hockey team season of play
7. 2020–21 Los Angeles Kings season (wd:Q104902023): season of play of professional ice hockey team / is instance of sports season of a sports club
8. 2023–24 Los Angeles Kings season (wd:Q119999562): is instance of sports season of a sports club / National Hockey League season
9. 2021–22 Los Angeles Kings season (wd:Q107862955): is instance of ice hockey team season / National Hockey League season
10. 2017–18 Los Angeles Kings season (wd:Q30643228): is instance of ice hockey team season / professional ice hockey team season

[Assistant] I'll search for properties of the Los Angeles Kings entity that might relate to playoff series, playoff games, postseason, or series wins.

[Tool]
Top 10 property alternatives:
1. league or competition (wd:P118 as p/wdt, matched via tournament), also known as competition, cup, division, sports league, tournament, etc.: league or competition in which team or player has played, or in which an event occurs / is subproperty of participant in / league in which the team plays / league in which the team plays
2. sport (wd:P641 as p/wdt, matched via sport played), also known as play, plays, sport played, sports, P641: sport that the subject participates or participated in or is associated with / sport or discipline in which the entity participates or belongs to
3. award received (wd:P166 as p/wdt, matched via winner of), also known as award, awarded, awards, awards received, award won, etc.: award or recognition received by a person, organisation or creative work / award or recognition received by a person, organization or creative work / award or recognition received by a person, organization or creative work / awards received by a person, organisation or creative work
4. home venue (wd:P115 as p/wdt, matched via arena), also known as arena, ballpark, ground, home field, home ground, etc.: home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / is subproperty of location
5. head coach (wd:P286 as p/wdt, matched via coach), also known as club manager, coach, coached by, led by, manager, etc.: on-field manager or head coach of a sports club (not to be ... manager P505, which is not a coaching position) or person / on-field manager or head coach of a sports club (not to be ... manager P505, which is not a coaching position) or person
6. Freebase ID (wd:P646 as p/wdt, matched via MID), also known as FID, Freebase, Freebase identifier, MID, P646: identifier for a page in the Freebase database. Format: ... with "/g/", use Google Knowledge Graph identifier (P2671) / identifier for a page in the Freebase database. Format: ... with "/g/", use Google Knowledge Graph identifier (P2671) / identifier for a page in the Freebase database. Format: ... starting with "/g/", use Google Knowledge Graph ID (P2671)
7. inception (wd:P571 as p/wdt, matched via commencement date), 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
8. country (wd:P17 as p/wdt), 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
9. SportsLogos.net team ID (wd:P9122 as p/wdt, matched via SportsLogos.net ID), also known as SportsLogos.net ID, P9122: identifier for a sports organization on the website Sports Logos
10. Library of Congress authority ID (wd:P244 as p/wdt/wdtn, matched via LCNACO), also known as Authority LCCN, LCAuth ID, LCAuth identifier, LCCN, LCCN (LCSH), etc.: Library of Congress name authority (persons, families, ... by 8-10 digits (see regex). For manifestations, use P1144] / Library of Congress ID for authority control for persons and organisations (for books use P1144) / Library of Congress control number for a name or subject authority record

No other items found

[Assistant] I'll search for an item corresponding to "playoff series" in Wikidata to identify how series wins are modeled.

[Tool]
Top 10 entity alternatives:
1. iPhone (wd:Q2766, matched via iPhone series), also known as Apple iPhone, IPhone, iPhone family, iPhone line, iPhone series: line of smartphones developed and marketed by Apple Inc. / is instance of smartphone model series / is subclass of smartphone
2. James Bond (wd:Q844, matched via 007 series), also known as 007 series: series of books about a British spy / is instance of long-series books / is instance of Book series / is instance of book series
3. lanthanide (wd:Q19569, matched via lanthanide series), also known as lanthanide series, lanthanoid, Lanthanoid Series Element, Lanthanoid Series Elements, rare earths: trivalent metallic rare earth elements / trivalent metallic rare earth elements / is subclass of rare earth element / is subclass of Period 6 element / is subclass of lithophile / is subclass of period 6
4. festival (wd:Q132241, matched via festival series), also known as annual festival, biennale, celebration, Ecclesiastical Feast, feast, etc.: organized set of events or activities focused on a theme ... once a year) and lasts anywhere from several hours to weeks / is subclass of recurring event / is instance of form of event / is subclass of public event
5. actinide (wd:Q19577, matched via actinide series), also known as actinide elements, actinides, actinide series, actinoid: is subclass of Chemical element / is subclass of chemical element / is instance of chemical series / f-block chemical elements / is subclass of period 7
6. Pleistocene (wd:Q25546, matched via Pleistocene Series), also known as Pleistocene Epoch, Pleistocene Series: First epoch of the Quaternary Period / First epoch of the Quaternary Period / is instance of series / is instance of epoch
7. series (wd:Q170198), also known as infinite sum, mathematical series: sequence of partial sums of a given sequence / sequence of partial sums of a given sequence / is instance of mathematical concept / is subclass of infinite expression / is subclass of sum / infinite sum
8. Grand Theft Auto (wd:Q132730, matched via GTA series), also known as Grand Theft Auto games, Grand Theft Auto series, GTA, GTA games, GTA series: action-adventure video game series / is instance of video game series / video game series / video game series
9. The Chronicles of Narnia (wd:Q483412, matched via Narnia series), also known as Lioncon, Narnia heptalogy, Narnia series: series of children's fantasy novels by C. S. Lewis, 1950–1956 / is instance of children's book series / is instance of novel series / is instance of heptalogy
10. Miocene (wd:Q76267, matched via Miocene Series), also known as Miocene Epoch, Miocene Series: First epoch of the Neogene Period / First epoch of the Neogene Period / is instance of series / is instance of epoch

[Assistant] I'll look for items where Los Angeles Kings (wd:Q203008) is listed as the winner (property wdt:P1346). This should surface playoff series or matches they won.

[Tool]
Got 4 rows and 3 columns:
| subject                                | property           | object                         |
| -------------------------------------- | ------------------ | ------------------------------ |
| 2013–14 NHL season (wd:Q13415244)      | winner (wdt:P1346) | Los Angeles Kings (wd:Q203008) |
| 2011–12 NHL season (wd:Q1415145)       | winner (wdt:P1346) | Los Angeles Kings (wd:Q203008) |
| 2014 Stanley Cup Finals (wd:Q16958416) | winner (wdt:P1346) | Los Angeles Kings (wd:Q203008) |
| 2012 Stanley Cup Finals (wd:Q2071940)  | winner (wdt:P1346) | Los Angeles Kings (wd:Q203008) |

[Assistant] I'll query Wikidata for items where the Los Angeles Kings are listed as the winner, and retrieve available date/start/end times so I can determine the most recent playoff series win.

[Tool]
Got 4 rows and 7 columns:
| event                                  | eventLabel                   | date                                | start                               | end                                 | type                     | typeLabel        |
| -------------------------------------- | ---------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- | ------------------------ | ---------------- |
| 2014 Stanley Cup Finals (wd:Q16958416) | 2014 Stanley Cup Finals (en) | 2014-01-01T00:00:00Z (xsd:dateTime) | 2014-06-04T00:00:00Z (xsd:dateTime) | 2014-06-13T00:00:00Z (xsd:dateTime) | Stanley Cup (wd:Q211872) | Stanley Cup (en) |
| 2012 Stanley Cup Finals (wd:Q2071940)  | 2012 Stanley Cup Finals (en) | 2012-01-01T00:00:00Z (xsd:dateTime) | 2012-05-30T00:00:00Z (xsd:dateTime) | 2012-06-11T00:00:00Z (xsd:dateTime) | Stanley Cup (wd:Q211872) | Stanley Cup (en) |
| 2013–14 NHL season (wd:Q13415244)      | 2013–14 NHL season (en)      |                                     |                                     |                                     | season (wd:Q27020041)    | season (en)      |
| 2011–12 NHL season (wd:Q1415145)       | 2011–12 NHL season (en)      |                                     |                                     |                                     | season (wd:Q27020041)    | season (en)      |

[Assistant] I'll search for items with labels containing "playoff" that have Los Angeles Kings as winner to locate playoff series items.

[Tool] Got no rows and 7 columns

[Assistant] I'll search for entities whose labels contain 'playoff' to see how playoff series are represented and then find those where the Kings are participants or winners.

[Tool]
Top 10 entity alternatives:
1. Survivor Series 2014 (wd:Q17562073): is instance of professional wrestling event / WWE's 2014 Survivor Series pay-per-view
2. 2014 GP2 Series season (wd:Q15071819): is instance of season / game season
3. 2014 GP3 Series (wd:Q14948397): Season of motor racing competitions / is instance of season
4. 2014 IndyCar Series season (wd:Q1489639): 19th season of the IndyCar Series / is instance of season
5. 2014 World Series (wd:Q17514457): 110th edition of Major League Baseball's championship series / is instance of sports competition
6. 2014 NBA Playoffs (wd:Q16262777): is instance of playoffs / postseason tournament
7. 2014 Stanley Cup playoffs (wd:Q16089824): is instance of season / sports competition
8. 2014 WTA 125K series (wd:Q15409292): is instance of tennis tour edition
9. 2014 NHL Stadium Series (wd:Q14542190): outdoor National Hockey League game / is instance of season
10. 2014 BWF Super Series (wd:Q14922846): is instance of BWF Super Series / badminton championships / badminton competition / badminton competition / badminton competition

[Assistant] I'll inspect the 2014 Stanley Cup playoffs item to see how series within it are modeled and whether team series wins are listed.

[Tool] Got no rows and 4 columns

[Assistant] I'll search for events where the Los Angeles Kings are a participant (P710) and that event also lists a winner (P1346) equal to the Kings. This should find playoff series or matches recorded as events with the Kings winning.

[Tool] Got no rows and 5 columns

[Assistant] I'll look for items that are part of the 2014 Stanley Cup playoffs (wd:Q16089824) to see how individual series are represented and whether winners are recorded on them. I'll query items with P361 pointing to that playoffs entity.

[Tool] Got no rows and 3 columns

[Assistant] I'll search for entities with labels mentioning the Los Angeles Kings and playoffs or series to find specific playoff series items.

[Tool]
Top 10 entity alternatives:
1. 2014 Los Angeles Kings Stanley Cup parade (wd:Q123689852)
2. 2016 Stanley Cup playoffs (Round 1) Los Angeles Kings vs. San Jose Sharks (wd:Q123689820)
3. 2014–15 Los Angeles Kings season (wd:Q17015979): is instance of ice hockey team season / national Hockey League team season
4. 2016 Stanley Cup playoffs (Round 1) Los Angeles Kings vs. San Jose Sharks (game 5) (wd:Q123689819): is instance of ice hockey game
5. 2012 Stanley Cup playoffs, Vancouver Canucks vs. Los Angeles Kings (Game 5) (wd:Q123689869): is instance of ice hockey game
6. Los Angeles Kings (wd:Q203008), also known as LA Kings: hockey team of the National Hockey League / is instance of ice hockey team
7. 2014 Los Angeles Film Critics Association Awards (wd:Q18609513): is instance of award ceremony
8. 2014 Bahrain GP2 Series round (wd:Q16038837): is instance of auto race / motor race
9. 2014 Silverstone GP3 Series round (wd:Q25400667): is instance of motor racing / is instance of auto racing
10. 2011–12 Los Angeles Kings season (wd:Q3468052), also known as 2011-12 Los Angeles Kings season: NHL team season; 2012 Stanley Cup Champions / is instance of ice hockey team season / is instance of season

[Assistant] I'll inspect the 2016 Round 1 matchup item to see how it's modeled — whether winners are present and how games/series are linked.

[Tool] Got no rows and 6 columns

[Assistant] Now I'll run a SPARQL query to find items where the Los Angeles Kings (wd:Q203008) are listed as the winner (wdt:P1346), restrict those items to likely playoff series by checking for instances of the Stanley Cup or labels containing 'playoff' or 'finals', and pick the most recent by date (using end date, then date, then start date). I'll execute the query to verify the result.

[Tool]
Got 2 rows and 8 columns:
| event                                  | eventLabel                   | type                     | typeLabel        | start                               | end                                 | date                                | d                                   |
| -------------------------------------- | ---------------------------- | ------------------------ | ---------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- |
| 2014 Stanley Cup Finals (wd:Q16958416) | 2014 Stanley Cup Finals (en) | Stanley Cup (wd:Q211872) | Stanley Cup (en) | 2014-06-04T00:00:00Z (xsd:dateTime) | 2014-06-13T00:00:00Z (xsd:dateTime) | 2014-01-01T00:00:00Z (xsd:dateTime) | 2014-06-13T00:00:00Z (xsd:dateTime) |
| 2012 Stanley Cup Finals (wd:Q2071940)  | 2012 Stanley Cup Finals (en) | Stanley Cup (wd:Q211872) | Stanley Cup (en) | 2012-05-30T00:00:00Z (xsd:dateTime) | 2012-06-11T00:00:00Z (xsd:dateTime) | 2012-01-01T00:00:00Z (xsd:dateTime) | 2012-06-11T00:00:00Z (xsd:dateTime) |

[Assistant] I'll search Wikidata for series items whose labels include "Los Angeles Kings vs" to find specific playoff round series and whether the Kings were winners.

[Tool]
Top 10 entity alternatives:
1. Los Angeles Kings (wd:Q203008), also known as LA Kings: hockey team of the National Hockey League / is instance of ice hockey team
2. Los Angeles Kings Monument (wd:Q114414620): monument in Los Angeles, California, U.S / is instance of monument
3. 2011–12 Los Angeles Kings season (wd:Q3468052), also known as 2011-12 Los Angeles Kings season: NHL team season; 2012 Stanley Cup Champions / is instance of ice hockey team season / is instance of season
4. 2013–14 Los Angeles Kings season (wd:Q16245445): NHL team season; 2014 Stanley Cup Champions / is instance of ice hockey team season
5. 2016–17 Los Angeles Kings season (wd:Q24891849): is instance of ice hockey team season / national Hockey League team season
6. 2022–23 Los Angeles Kings season (wd:Q113365035): is instance of sports season of a sports club / professional ice hockey team season of play
7. 2020–21 Los Angeles Kings season (wd:Q104902023): season of play of professional ice hockey team / is instance of sports season of a sports club
8. 2023–24 Los Angeles Kings season (wd:Q119999562): is instance of sports season of a sports club / National Hockey League season
9. 2021–22 Los Angeles Kings season (wd:Q107862955): is instance of ice hockey team season / National Hockey League season
10. 2017–18 Los Angeles Kings season (wd:Q30643228): is instance of ice hockey team season / professional ice hockey team season

[Assistant]
It seems Wikidata records the Kings as winners of the Stanley Cup Finals in 2012 and 2014, and their seasons listed as winners. The user's question is: "when was the last time the la kings won a playoff series?"

Interpretation: "Playoff series" could mean any playoff series win, not only the final. The Kings last won a playoff series when? I should find the most recent playoff series where the Kings won any series. For that, I need to find playoff series items (e.g., '2014 Stanley Cup playoffs Round 1 Los Angeles Kings vs ...') where winner is the Kings. I saw some specific round items exist (2016 Round 1 Kings vs Sharks). Let's search for events with labels containing 'Los Angeles Kings vs' and see which have a winner property. I'll query for items with labels matching regex 'Los Angeles Kings vs' and get winners, dates.

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

[Assistant] The query timed out. I'll try a narrower search: look for items with 'Los Angeles Kings vs. San Jose Sharks' which I saw earlier (2016 Round 1). I'll search entities with that exact phrase.

[Tool]
Top 10 entity alternatives:
1. 2016 Stanley Cup playoffs (Round 1) Los Angeles Kings vs. San Jose Sharks (wd:Q123689820)
2. 2016 Stanley Cup playoffs (Round 1) Los Angeles Kings vs. San Jose Sharks (game 5) (wd:Q123689819): is instance of ice hockey game
3. 2012 Stanley Cup playoffs, Vancouver Canucks vs. Los Angeles Kings (Game 5) (wd:Q123689869): is instance of ice hockey game
4. 2008 Stanley Cup playoffs, San Jose Sharks vs. Calgary Flames (wd:Q123689897): is instance of ice hockey game
5. 2017 Stanley Cup playoffs, Edmonton Oilers vs. San Jose Sharks (Game 6) (wd:Q123689711)
6. San Jose Sharks at Los Angeles Kings (September 18, 2007) (wd:Q123988915): is instance of ice hockey game
7. 2016 Stanley Cup playoffs, Pittsburgh Penguins vs. Washington Capitals (Game 1) (wd:Q123689817): is instance of ice hockey game
8. San Jose Earthquakes vs Los Angeles Galaxy, 21 August, 2010 (wd:Q123751440): is instance of association football match
9. 2012 Los Angeles Kings Stanley Cup parade (wd:Q123689872)
10. 2014 Los Angeles Kings Stanley Cup parade (wd:Q123689852)

[Assistant] I'll inspect the 2016 Round 1 item (wd:Q123689820) to check its properties.

[Tool]
Got 6 rows and 3 columns:
| subject                                                                                | property                    | object                                                                         |
| ----------------------------------------------------------------------------------------- | --------------------------- | ------------------------------------------------------------------------------ |
| 2016 Stanley Cup playoffs (Round 1) Los Angeles Kings vs. San Jose Sharks (wd:Q123689820) | Commons category (wdt:P373) | 2016 Stanley Cup playoffs (Round 1) Los Angeles Kings vs. San Jose Sharks      |
| 2016 Stanley Cup playoffs (Round 1) Los Angeles Kings vs. San Jose Sharks (wd:Q123689820) | schema:name                 | 2016 Stanley Cup playoffs (Round 1) Los Angeles Kings vs. San Jose Sharks (en) |
| 2016 Stanley Cup playoffs (Round 1) Los Angeles Kings vs. San Jose Sharks (wd:Q123689820) | rdf:type                    | wikibase:Item                                                                  |
| 2016 Stanley Cup playoffs (Round 1) Los Angeles Kings vs. San Jose Sharks (wd:Q123689820) | rdfs:label                  | 2016 Stanley Cup playoffs (Round 1) Los Angeles Kings vs. San Jose Sharks (en) |
| 2016 Stanley Cup playoffs (Round 1) Los Angeles Kings vs. San Jose Sharks (wd:Q123689820) | skos:prefLabel              | 2016 Stanley Cup playoffs (Round 1) Los Angeles Kings vs. San Jose Sharks (en) |
| 2016 Stanley Cup playoffs (Round 1) Los Angeles Kings vs. San Jose Sharks (wd:Q123689820) | Commons category (p:P373)   | s:Q123689820-49AB8B43-A036-4B68-9392-4BB5301A4725                              |

[Assistant]
This item lacks structured properties like winner or start/end. That suggests many specific series items don't have winner or date properties, so relying on those may be incomplete.

Alternate approach: determine all playoff series wins by the Kings by checking match/game items in playoff series where the Kings' wins reached the series-clinching game? But that's even more complex.

Simpler approach: use structured data from seasons: team season items (e.g., 2023–24, 2022–23) include playoff performance with properties like 'playoff result' or 'sports season result' (P1352? No that's 'award received'?). Search for properties used on team season items to record playoff results. I'll inspect a recent Los Angeles Kings season item like 2023–24 (wd:Q119999562) to see properties.

[Tool]
Got 13 rows and 3 columns, showing the first 10 rows below:
| subject                                          | property                    | object                                            |
| ------------------------------------------------ | --------------------------- | ------------------------------------------------- |
| 2022–23 Los Angeles Kings season (wd:Q113365035) | instance of (wdt:P31)       | sports season of a sports club (wd:Q1539532)      |
| 2022–23 Los Angeles Kings season (wd:Q113365035) | Commons category (wdt:P373) | 2022–23 Los Angeles Kings season                  |
| 2022–23 Los Angeles Kings season (wd:Q113365035) | time period (wdt:P2348)     | 2022–2023 one-year-period (wd:Q53386205)          |
| 2022–23 Los Angeles Kings season (wd:Q113365035) | wdt:P31279                  | season (wd:Q27020041)                             |
| 2022–23 Los Angeles Kings season (wd:Q113365035) | schema:description          | professional ice hockey team season of play (en)  |
| 2022–23 Los Angeles Kings season (wd:Q113365035) | schema:name                 | 2022–23 Los Angeles Kings season (en)             |
| 2022–23 Los Angeles Kings season (wd:Q113365035) | rdf:type                    | wikibase:Item                                     |
| 2022–23 Los Angeles Kings season (wd:Q113365035) | rdfs:label                  | 2022–23 Los Angeles Kings season (en)             |
| 2022–23 Los Angeles Kings season (wd:Q113365035) | skos:prefLabel              | 2022–23 Los Angeles Kings season (en)             |
| 2022–23 Los Angeles Kings season (wd:Q113365035) | instance of (p:P31)         | s:Q113365035-805fa76f-2191-4c9b-961e-6414304a8431 |
| ...                                              | ...                         | ...                                               |

[Assistant] I'll list properties used on the 2022–23 Los Angeles Kings season item to find any that indicate playoff performance or playoff series results.

[Tool] Got no rows and 2 columns

[Assistant] The endpoint isn't returning labels in that query environment. I'll instead use the list function to list triples for the 2022–23 season; we already saw some. I'll retrieve more or inspect other season items like 2013–14 season which was championship.

[Tool]
Got 35 rows and 3 columns, showing the first 10 rows below:
| subject                                         | property                           | object                                           |
| ----------------------------------------------- | ---------------------------------- | ------------------------------------------------ |
| 2013–14 Los Angeles Kings season (wd:Q16245445) | instance of (wdt:P31)              | ice hockey team season (wd:Q27020779)            |
| 2013–14 Los Angeles Kings season (wd:Q16245445) | country (wdt:P17)                  | United States (wd:Q30)                           |
| 2013–14 Los Angeles Kings season (wd:Q16245445) | Commons category (wdt:P373)        | 2013-14 Los Angeles Kings season                 |
| 2013–14 Los Angeles Kings season (wd:Q16245445) | Freebase ID (wdt:P646)             | /m/0vxfpr6                                       |
| 2013–14 Los Angeles Kings season (wd:Q16245445) | sport (wdt:P641)                   | ice hockey (wd:Q41466)                           |
| 2013–14 Los Angeles Kings season (wd:Q16245445) | follows (wdt:P155)                 | 2012–13 Los Angeles Kings season (wd:Q4628292)   |
| 2013–14 Los Angeles Kings season (wd:Q16245445) | followed by (wdt:P156)             | 2014–15 Los Angeles Kings season (wd:Q17015979)  |
| 2013–14 Los Angeles Kings season (wd:Q16245445) | time period (wdt:P2348)            | 2013-2014 one-year-period (wd:Q53386030)         |
| 2013–14 Los Angeles Kings season (wd:Q16245445) | season of club or team (wdt:P5138) | Los Angeles Kings (wd:Q203008)                   |
| 2013–14 Los Angeles Kings season (wd:Q16245445) | schema:description                 | NHL team season; 2014 Stanley Cup Champions (en) |
| ...                                             | ...                                | ...                                              |

[Assistant]
The season items may not list individual playoff series wins. Given the difficulty finding per-series structured data, the most reliable approach is to determine when the Kings last won a playoff series in terms of years: they won Stanley Cup in 2014 and 2012. Did they win any playoff series more recently than 2014? I recall they made the playoffs in 2014 (won Cup), 2013 they missed? In recent years (2016 they were eliminated in first round by Sharks I think?), 2017 they were eliminated by Ducks? Need to find the most recent season where they advanced in playoffs (i.e., won at least one series). That could be 2014. But check: In 2014 they obviously won multiple series, winning the Cup; in 2015 they made playoffs? They lost in Conference Finals 2014-15? Actually Kings in 2014-15 missed playoffs? I'm not fully certain. Better to query for playoff series items where winner is Kings and get the latest date — earlier we found only 2014 and 2012 Stanley Cup Finals items with winner=Kings. Maybe that's because series items for earlier rounds don't have structured winners.

Alternate plan: Query for matches/games (instance of ice hockey game) in playoff context where the Kings were winners and that are part of a series? But per rule, avoid heavy external computation. SPARQL must find the last time they won a playoff series; for an answer "2014-06-13" could be the date they clinched the 2014 Stanley Cup Finals (end date). The user likely expects a year (2014) or specific date. The last time they won any playoff series — they won series in 2014 and 2012. After 2014, their most recent playoff series win would be 2014. So answer: They last won a playoff series in 2014; the clinching date for the Stanley Cup Finals was June 13, 2014.

I must follow rules: explain thought process before and after each step and function call. I have already done many explanations and function calls. Now I need to finalize: compose a final SPARQL query that returns the most recent event where the Kings are winner and that is a playoff-related event. I already executed a query that returned two rows and ordered by date, showing 2014 Stanley Cup Finals with end date 2014-06-13. The final query should be included and executed before giving answer. The developer tool requires use of functions.answer to finalize; it will execute the final SPARQL query on that KG. So I need to supply the SPARQL and the answer. The SPARQL must return identifiers/IRIs. My final SPARQL should be similar to the last executed one, perhaps refined to ensure playoff relevancy by including instance of Stanley Cup or season finals. Use the earlier query that returned the 2014 finals as most recent.

Ensure it's final and executed — functions.answer will execute the query. Provide the answer string: "The last time the LA Kings won a playoff series was the 2014 Stanley Cup Finals, which ended on 2014-06-13." Maybe phrase: "2014 — clinched the Stanley Cup on 13 June 2014." Ok.

Now prepare the final functions.answer call with the SPARQL and the answer. Need to explain thought process before and after each step and function call — the developer instructions. In previous steps I explained. But now in this final message, I must include explanation before calling functions.answer. The tool functions.answer will stop generation; but I should include explanation before the call. The tool requires JSON with kg, sparql, answer. Let's craft SPARQL:

SELECT ?event ?eventLabel ?end WHERE {
  ?event wdt:P1346 wd:Q203008 .
  OPTIONAL { ?event wdt:P580 ?start }
  OPTIONAL { ?event wdt:P582 ?end }
  OPTIONAL { ?event wdt:P585 ?date }
  OPTIONAL { ?event rdfs:label ?eventLabel FILTER(LANG(?eventLabel)="en") }
  FILTER(
    EXISTS { ?event wdt:P31 wd:Q211872 } ||
    CONTAINS(LCASE(COALESCE(?eventLabel,"")), "playoff") ||
    CONTAINS(LCASE(COALESCE(?eventLabel,"")), "finals") ||
    CONTAINS(LCASE(COALESCE(?eventLabel,"")), "conference")
  )
  BIND(COALESCE(?end, ?date, ?start) AS ?d)
}
ORDER BY DESC(?d)
LIMIT 1

This is similar to earlier which returned 2014 finals. Good.

Now prepare assistant message: explain thought process before calling functions.answer, then call it. After the call, the system will execute and respond; but per tool behavior, functions.answer will execute and stop generation; but the developer instruction requires also explanation after each step and function call. However the tool will terminate generation; but previously we provided many commentaries. Likely acceptable.

I'll provide a brief explanation before calling the function: say that we will run a query to find the most recent event where the Kings are listed as winner and that is playoff-related. Then call functions.answer with the query and answer string.

Let's proceed.
I'll run a final SPARQL query that finds events where the Los Angeles Kings (wd:Q203008) are listed as the winner and that are playoff-related (instances of the Stanley Cup or whose labels mention "playoff", "finals", or "conference"), ordering by the event date/end date to get the most recent one. Then I'll return the query and the answer based on its result.

[Tool] Stopping