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

Ireland plays rugby union at the Aviva Stadium.

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

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/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for 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. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. 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.
4. 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.
5. 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.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] where do ireland play rugby union?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
where is ellis park rugby stadium?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q182081 wdt:P276 ?x .
}

Using entities:
Ellis Park Stadium, also known as Emirates Airline Park, Ellis Park, Coca-Cola Park (wd:Q182081): stadium in Johannesburg, South Africa

Using properties:
location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

Example 2:
Question:
where does the shannon river flow?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q7488940 wdt:P131 ?x .
}

Using entities:
Shannon River (wd:Q7488940): river in Western Australia, Australia

Using properties:
located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of

Example 3:
Question:
who does northern ireland belong to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q26 wdt:P131 ?x .
}

Using entities:
Northern Ireland, also known as UKN, Tuaisceart Éireann, The Six Counties, The North, N. Ireland (wd:Q26): part of the United Kingdom situated on the island of Ireland

Using properties:
located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of

[Assistant]
From the examples, it seems that the property "location" (wdt:P276) is used to indicate where a sports team or entity plays or is located.

Now, I will search for the entity "Ireland national rugby union team" to get the exact entity representing Ireland's rugby union team. Then I will check the location or home stadium where they play.

[Tool]
Top 10 entity alternatives:
1. Ireland rugby union team, also known as Ireland national rugby team, Ireland national rugby union team (wd:Q599903): Men’s rugby union team representing the island of Ireland
2. Ireland women's national rugby union team (wd:Q3589823): women’s rugby union team representing the island of Ireland
3. Ireland national rugby union sevens team, also known as Ireland national rugby sevens team, Ireland sevens rugby team (wd:Q7902223): national sevens rugby team
4. Ireland national under-20 rugby union team (wd:Q6068684): rugby team
5. Ireland national schoolboy rugby union team (wd:Q6068681): sports team
6. Ireland women's national rugby union sevens team, also known as Ireland women's national sevens team (wd:Q6068719): sevens national rugby team
7. History of the Ireland national rugby union team (wd:Q23808242)
8. national rugby union team (wd:Q58840819): rugby union team that represents a country in international competitions
9. England national rugby union team, also known as England rugby union team, England rugby team, England national rugby team, England Rugby (wd:Q378628): Men’s rugby union team representing England
10. France national rugby union team, also known as France national rugby team, France rugby team, France rugby union team (wd:Q518116): Men’s rugby union team representing France

[Assistant] The entity for the Ireland national rugby union team is wd:Q599903. Now I will look for the location or home stadium where this team plays using the property "location" (wdt:P276) or similar properties.

[Tool]
Got 275 rows and 3 columns, showing the first 10 rows below:
| subject                               | property                         | object                                           |
| ------------------------------------- | -------------------------------- | ------------------------------------------------ |
| Ireland rugby union team (wd:Q599903) | instance of (wdt:P31)            | national rugby union team (wd:Q58840819)         |
| Ireland rugby union team (wd:Q599903) | country (wdt:P17)                | United Kingdom (wd:Q145)                         |
| Ireland rugby union team (wd:Q599903) | Commons category (wdt:P373)      | Ireland national rugby union team                |
| Ireland rugby union team (wd:Q599903) | location (wdt:P276)              | Ireland (wd:Q22890)                              |
| Ireland rugby union team (wd:Q599903) | inception (wdt:P571)             | 1875-02-15T00:00:00Z (xsd:dateTime)              |
| Ireland rugby union team (wd:Q599903) | sport (wdt:P641)                 | rugby union (wd:Q5849)                           |
| Ireland rugby union team (wd:Q599903) | official website (wdt:P856)      | <https://www.irishrugby.ie/ireland/men/>         |
| Ireland rugby union team (wd:Q599903) | different from (wdt:P1889)       | Ireland national rugby league team (wd:Q3589812) |
| Ireland rugby union team (wd:Q599903) | participant in (wdt:P1344)       | 2015 Rugby World Cup (wd:Q393491)                |
| Ireland rugby union team (wd:Q599903) | topic's main category (wdt:P910) | wd:Q8553707                                      |
| ...                                   | ...                              | ...                                              |

[Assistant]
The property "location" (wdt:P276) for the Ireland rugby union team points to Ireland (wd:Q22890), which is a country, not a specific stadium or place where they play rugby union.

I will now search for the home stadium or stadiums where the Ireland rugby union team plays. I will search for properties related to "home stadium" or "home ground" for the Ireland rugby union team.

[Tool]
Top 10 property alternatives:
1. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as wdt/p): home stadium or venue of a sports team or applicable performing arts organization, location
2. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/p): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
3. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as wdt/p): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
4. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
5. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as wdt/p): subject's ordinal position as qualitatively evaluated relative to other members of a group
7. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as wdt/p): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
8. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
9. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as wdt/p): informal name (for a pseudonym use P742), name
10. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time

No other items found

[Assistant]
The property "home venue" (wdt:P115) is the most relevant property for the home stadium or venue of a sports team.

I will now query the home venue(s) of the Ireland rugby union team using this property.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the home venue of the Ireland national rugby union team using the property 'home venue' (wdt:P115). The result, Aviva Stadium, is accurate and matches the known home stadium for Ireland's rugby union team. The query also optionally retrieves the English label for better readability. The answer is complete and correct as per the user's question.


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

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

Sergio Agüero played for the following teams: Argentina national under-20 football team, Club Atlético Independiente, Argentina national under-23 football team, Argentina national under-17 football team, Manchester City F.C., FC Barcelona, Argentina men's national association football team, and Atlético de Madrid.

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

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/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for 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. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. 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.
4. 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.
5. 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.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what team did aguero play for?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what team does sergio aguero play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q119562 wdt:P54 ?x .
}

Using entities:
Sergio Agüero, also known as Sergio Leonel Agüero del Castillo (wd:Q119562): Argentine association football player, association football player, online streamer, businessperson

Using properties:
member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as wdt): sports teams or clubs that the subject represents or represented, member of

Example 2:
Question:
what club did aguero play for before man city?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q119562 p:P54 ?p .
  ?p ps:P54 ?x ; pq:P582 ?y .
  ?x wdt:P31 wd:Q476028 .
  wd:Q1920 p:P54 ?q .
  ?q ps:P54 wd:Q50602 ; pq:P580 ?z .
  FILTER ( ?y <= ?z )
}

Using entities:
Sergio Agüero, also known as Sergio Leonel Agüero del Castillo (wd:Q119562): Argentine association football player, association football player, online streamer, businessperson
Samir Nasri (wd:Q1920): French footballer (born 1987), association football player
association football club, also known as association soccer club, F.C., FC, football club, soccer club (wd:Q476028): sports club devoted to association football (soccer)
Manchester City F.C., also known as The Sky Blues, City, The Citizens, The Blues, Sky Blues (wd:Q50602): association football club in Manchester, England

Using properties:
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as ps/p): sports teams or clubs that the subject represents or represented, member of
start time, also known as start date, since, valid, join time, joined (wd:P580 as pq): time an entity begins to exist or a statement starts being valid, point in time
end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as pq): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time

Example 3:
Question:
what team did kaka play for in 2009?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q531814 p:P54 ?p .
  ?p ps:P54 ?x ; pq:P580 ?y ; pq:P582 ?z .
  FILTER ( ( ?y < "2010-01-01T00:00:00Z" ^^ xsd:dateTime ) && ( ?z >= "2009-01-01T00:00:00Z" ^^ xsd:dateTime ) )
}

Using entities:
Kaká, also known as Ricardo Kaká (wd:Q531814): Brazilian association football player, born 1982, association football player, diplomat, writer

Using properties:
member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as ps/p): sports teams or clubs that the subject represents or represented, member of
start time, also known as start date, since, valid, join time, joined (wd:P580 as pq): time an entity begins to exist or a statement starts being valid, point in time
end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as pq): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time

[Assistant] The examples show that the entity for Sergio Agüero is wd:Q119562 and the property for "team played for" or "member of sports team" is wdt:P54. I will now write a simple query to get the teams that Aguero played for using these.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all the teams that Sergio Agüero has played for using the property 'member of sports team' (wdt:P54). The answer includes both club teams and national teams, which is comprehensive and accurate. The query also optionally retrieves English labels for better readability. The output matches the execution result and fully answers the user's question. No further refinement is necessary.


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

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

The official language of Brazil now is Portuguese.

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

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/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for 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. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. 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.
4. 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.
5. 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.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what is the official language of brazil now?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what is the language spoken in brazil?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q155 wdt:P37 ?x .
}

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

Using properties:
official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt): language designated as official by this item, language used

Example 2:
Question:
what language brazil use?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q155 wdt:P37 ?x .
}

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

Using properties:
official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt): language designated as official by this item, language used

Example 3:
Question:
what main language do they speak in brazil?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q155 wdt:P37 ?x .
}

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

Using properties:
official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt): language designated as official by this item, language used

[Assistant]
From the similar examples, the entity for Brazil is wd:Q155 and the property for official language is wdt:P37. The SPARQL query to get the official language of Brazil is straightforward:

SELECT DISTINCT ?language WHERE {
  wd:Q155 wdt:P37 ?language .
}

I will now execute this query to get the official language of Brazil.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the official language of Brazil (wd:Q155) using the property official language (wdt:P37). The query returns the language identifier and its English label, which is Portuguese (wd:Q5146). The answer provided matches the query result and is accurate. The query follows the rules by returning the identifier and label, and no unnecessary computations are done outside SPARQL. Thus, the output is correct and complete.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?zipCode WHERE {
  wd:Q653636 wdt:P281 ?zipCode .
}

The zip codes for Morgantown, West Virginia are 26501, 26501–26508, 26504, and 26506.

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

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/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for 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. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. 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.
4. 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.
5. 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.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what is the zip code for morgantown wv?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what is the zip code for clarksville tn?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q328941 wdt:P281 ?x .
}

Using entities:
Clarksville, also known as Clarksville, TN, Clarksville, Tennessee (wd:Q328941): city in Tennessee, United States

Using properties:
postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as wdt): identifier assigned by postal authorities for the subject area or building

Example 2:
Question:
what is zip code for chicago illinois?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q1297 wdt:P281 ?x .
}

Using entities:
Chicago, also known as The Second City, The Queen of the West, The Windy City, City of Broad Shoulders, City by the Lake (wd:Q1297): city and county seat of Cook County, Illinois, United States of America

Using properties:
postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as wdt): identifier assigned by postal authorities for the subject area or building

Example 3:
Question:
what is the zip code for cordova tn?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q5170040 wdt:P281 ?x .
}

Using entities:
Cordova, also known as Cordova, Tennessee (wd:Q5170040): unincorporated community in Shelby County, Tennessee

Using properties:
postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as wdt): identifier assigned by postal authorities for the subject area or building

[Assistant]
From the examples, the approach is to find the entity for the city (Morgantown, WV) and then query for the postal code (zip code) property (wdt:P281) of that entity.

Step 1: Search for the entity "Morgantown, WV" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Morgantown, also known as Morgantown, West Virginia, Morgantown, WV (wd:Q653636): city in and county seat of Monongalia County, West Virginia, United States
2. Morgantown urban area, also known as Morgantown, WV, Morgantown, WV Urban Area (wd:Q125805682): urban area in West Virginia
3. Morgantown metropolitan area, also known as Morgantown, WV Metropolitan Statistical Area, Morgantown, WV MSA, Morgantown, WV metropolitan area, Morgantown MSA, Morgantown metropolitan statistical area (wd:Q17081833): metropolitan area in West Virginia, United States
4. Morgantown, also known as Morgantown, Kentucky, Morgantown, KY (wd:Q2555567): county seat in Kentucky
5. Morgantown, also known as Morgantown, Indiana (wd:Q644950): human settlement in Morgan County, Indiana, United States of America
6. Morgantown, also known as Morgantown, PA, Morgantown, Pennsylvania (wd:Q3960025): census-designated place in Berks and Lancaster counties in Pennsylvania, United States
7. Morgantown, also known as Morgantown, Adams County, Mississippi, Morgantown, MS (wd:Q13580455): census-designated place in Adams County, Mississippi
8. Morgantown, also known as Morgantown, MS (wd:Q3612521): unincorporated community in Marion County, Mississippi
9. Morgantown, also known as Morgantown, Maryland, Morgantown, MD (wd:Q6911981): unincorporated community in Charles County, Maryland
10. Morgantown, also known as Morgantown, MS (wd:Q20658077): human settlement in Oktibbeha County, Mississippi, United States

[Assistant] The entity for Morgantown, West Virginia is wd:Q653636. Now, I will query for the postal code (zip code) property (wdt:P281) of this entity.

[Tool]
Got 4 rows and 1 column:
| zipCode     |
| ----------- |
| 26501       |
| 26501–26508 |
| 26504       |
| 26506       |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the postal codes (zip codes) for Morgantown, West Virginia, using the appropriate entity and property from Wikidata. The answer includes all relevant zip codes found in the query result. The query follows the rules by returning the identifiers (zip codes) directly without unnecessary labels or additional computations. Therefore, the output is correct and complete.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?date WHERE {
  ?event wdt:P31 wd:Q211872 .
  ?event wdt:P1346 wd:Q203008 .
  ?event wdt:P585 ?date .
}
ORDER BY DESC ( ?date )
LIMIT 1

The last time the LA Kings won a playoff series was in 2014 when they won the Stanley Cup, which is the final playoff series in the NHL. More detailed data on earlier playoff series wins is not available in the knowledge graph.

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

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/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for 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. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. 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.
4. 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.
5. 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.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

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

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
when did kings last win stanley cup?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?y wdt:P31 / wdt:P279 * wd:Q211872 ; wdt:P1346 wd:Q203008 ; wdt:P585 ?x .
}
ORDER BY DESC ( ?x )
LIMIT 1

Using entities:
Los Angeles Kings, also known as LA Kings (wd:Q203008): hockey team of the National Hockey League
Stanley Cup, also known as Dominion Hockey Challenge Cup, Lord Stanley's Cup, Lord Stanley's Mug (wd:Q211872): championship trophy awarded annually in the National Hockey League

Using properties:
winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdt): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)

Example 2:
Question:
when was the last time the san francisco giants won a world series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?y wdt:P3450 wd:Q265538 ; wdt:P1346 wd:Q308966 ; wdt:P585 ?x .
}
ORDER BY DESC ( ?x )
LIMIT 1

Using entities:
World Series, also known as Fall Classic (wd:Q265538): Championship of Major League Baseball
San Francisco Giants, also known as Giants, Gothams, New York Giants, New York Gothams, SFG (wd:Q308966): baseball team and Major League Baseball franchise in San Francisco, California, United States

Using properties:
winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdt): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
sports season of league or competition, also known as sport season, seasons of, edition of annual athletics meeting, season of sports tournament, season of sports league (wd:P3450 as wdt): property that shows the competition of which the item is a season. Use P5138 for "season of club or team"., part of
point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)

Example 3:
Question:
when did the lakers win the championship?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?y wdt:P31 / wdt:P279 * wd:Q842375 ; wdt:P1346 wd:Q121783 ; wdt:P585 ?x .
}

Using entities:
Los Angeles Lakers, also known as Lakers, L.A. Lakers, LA Lakers, Minneapolis Lakers, Purple and Gold (wd:Q121783): American professional basketball team
NBA Finals, also known as NBA World Championship Series [until 1987], NBA title, National Basketball Association ...Championship Series [until 1987], BAA World Championship Series [1947-49], Basketball Association of Americ...ld Championship Series [1947-49] (wd:Q842375): championship series of the National Basketball Association, annu...al Basketball Association World Championship Series through 1987

Using properties:
winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdt): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)

[Assistant]
From the similar examples, it seems we need to find the last time the LA Kings (wd:Q203008) won a playoff series. A playoff series is a part of a sports season or competition. We can look for events or seasons where the LA Kings were winners and get the latest date from those.

I will first search for the LA Kings entity to confirm its identifier. Then I will look for properties related to winning a playoff series or sports seasons for the LA Kings.

[Tool]
Top 10 entity alternatives:
1. Los Angeles Kings, also known as LA Kings (wd:Q203008): hockey team of the National Hockey League
2. LA Kings (wd:Q114547435): episode of Cupcake Wars (S2 E3)
3. Kings Langley, also known as King's Langley, Kings Langley, Hertfordshire, Langley Regina, Langley Regis (wd:Q19807): village and civil parish in Hertfordshire, England
4. Latin Kings, also known as 18st, INCA, Reyes Latinos (wd:Q534297): largest Latino street gang
5. Kingston, also known as Kingston, Louisiana, Kingston, LA (wd:Q6413420): unincorporated community in DeSoto Parish, Louisiana
6. Kings Langley, also known as Kings Langley, New South Wales, Kings Langley, New South Wales, Australia (wd:Q6272013): suburb of Sydney, New South Wales, Australia
7. Tontos, also known as latin kings, Nortenos, Norteñas, Norputos, Norcacas (wd:Q2112443): gente
8. Kings Lake (wd:Q22073712): lake in McLeod County, Minnesota, United States
9. Kings Lake (wd:Q22420428): lake in Algoma District, Ontario, Canada
10. Kings Lake (wd:Q25204379): lake in Codington County, South Dakota, USA

[Assistant] The entity for LA Kings is wd:Q203008. Now I will search for properties related to winning or playoff series for this entity. I will start by searching for properties related to "win" or "winner" for the LA Kings.

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
2. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
3. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as wdt/p): league or competition in which team or player has played, or in which an event occurs, participant in
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
5. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as wdt/p): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
6. X (Twitter) username, also known as twitter.com/, X username, X handle, x.com/, X account (wd:P2002 as wdt/p): username on X (formerly Twitter); do not include the '@' symbol, website username or ID
7. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as wdt/p): home stadium or venue of a sports team or applicable performing arts organization, location
8. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
9. Instagram username, also known as IG username, www.instagram.com, urinsta, ufinsta, Insta ID (wd:P2003 as wdt/p): item's username on Instagram, website username or ID
10. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category

No other items found

[Assistant]
The property "award received" (wdt:P166) can be used to indicate wins or recognitions received by the LA Kings. However, this might include awards other than playoff series wins.

I will now search for items that are instances or subclasses of playoff series or sports seasons to see if there is a more specific entity for playoff series wins. Then I will check if the LA Kings have won any of those and get the latest date.

[Tool]
Top 10 entity alternatives:
1. series, also known as infinite sum, mathematical series (wd:Q170198): infinite sum
2. series, also known as epoch (wd:Q312468): sequence of rock depositions defining a chronostratigraphic unit corresponding to a specific epoch on the geologic time scale
3. series circuit, also known as connected in series, connection in series, in series, serial circuit, series (wd:Q13928914): basic arrangement of an electrical circuit that ties the current through the components
4. series (wd:Q3025161): taxonomic rank in botany
5. Playoff (wd:Q7203502): 2011 film by Eran Riklis
6. media mix, also known as media franchise, series, multimedia franchise, media series, franchise (wd:Q18591554): Japanese neologism for a media franchise
7. Playoff (wd:Q7203505): means of breaking tie in golf tournament
8. Séries Plus, also known as Séries+ (wd:Q3511327): Canadian French television channel
9. series (wd:Q12562111): informal lithodemic rank
10. series, also known as record series (wd:Q3511132): term in archival and library science; collection of records grou...eir original function, use, or other relationship to one another

[Assistant] The search for "playoff series" did not return a relevant entity for sports playoff series. I will try searching for "sports season" or "sports competition" to find a relevant entity for playoff series or sports seasons.

[Tool]
Top 10 entity alternatives:
1. season, also known as game season, sports year, sports series, sports season, season of a sports league or competition (wd:Q27020041): season of a sports league or competition, generally a specific one year period
2. sports season (wd:L476981-S2)
3. sports season of a sports club, also known as team season, sports team season, sport season, sporting season, seasons (wd:Q1539532): activity of a sports club during the portion of one year in whic...t are played as part of a league or other multi match tournament
4. Kinect Sports: Season Two (wd:Q3815380): 2011 video game
5. 2011–12 Casa Sports season (wd:Q30591298): season of football team
6. 2014–15 Blackwater Sports season (wd:Q17514693): basketball team season
7. Sports Night, season 2 (wd:Q3729966): season of television series
8. Sports Night, season 1 (wd:Q3729965): season of television series
9. 2018 VIB Sports season (wd:Q51166835)
10. sports season of league or competition, also known as sport season, seasons of, season of sports tournament, season of sports league, season of sports competition (wd:P3450): property that shows the competition of which the item is a season. Use P5138 for "season of club or team".

[Assistant]
The entity "season" (wd:Q27020041) refers to a season of a sports league or competition. There is also a property "sports season of league or competition" (wdt:P3450) which shows the competition of which the item is a season. Additionally, "season of club or team" (wdt:P5138) might be relevant.

I will now search for seasons or playoff series won by the LA Kings using the "award received" property (wdt:P166) and filter for instances of sports seasons or playoff series. Then I will get the latest date from those.

[Tool] Got no rows and 3 columns

[Assistant]
The query did not return any results. It seems the property "winner" (wdt:P1346) is not directly used for sports seasons or playoff series won by the LA Kings.

I will try a different approach: I will look for items that are instances of NHL playoff series or NHL seasons and check if the LA Kings participated and won those. Then I will get the latest date from those. First, I will search for the entity NHL playoff series or NHL season.

[Tool]
Top 10 entity alternatives:
1. NHL Stadium Series (wd:Q17487840): Series of regular season outdoor games played in the National Hockey League
2. NHL Global Series (wd:Q59310957): ice hockey event
3. NHL playoff ties (wd:Q128303856): hockey games with no winner
4. NHL Premiere Series (wd:Q74845684)
5. 2015 NHL Stadium Series (wd:Q17021931): National Hockey League season
6. 2014 NHL Stadium Series (wd:Q14542190): outdoor National Hockey League game
7. 2019 NHL Stadium Series (wd:Q48841416): outdoor National Hockey League game
8. 2020 NHL Stadium Series (wd:Q60768080): outdoor National Hockey League game
9. 2017 NHL Stadium Series (wd:Q28119272): Outdoor National Hockey League game
10. 2016 NHL Stadium Series (wd:Q19414416): Outdoor ice hockey games

[Assistant] There is no direct entity for NHL playoff series. I will try searching for NHL season or NHL playoffs.

[Tool]
Top 10 entity alternatives:
1. NHL: Teams ready for Stanley Cup Playoffs (wd:Q17667072): Wikinews article
2. National Hockey League, also known as LNH, NHL (wd:Q1215892): North American professional ice hockey league
3. playoffs, also known as play-offs, post-season, postseason (wd:Q868291): final games of several sporting events used to determine the league champion or similar accolade
4. NHL (wd:Q1631906): ice hockey video game series
5. New Holland railway station, also known as New Holland Station, NHL (wd:Q13528509): railway station in New Holland, North Lincolnshire, England, UK
6. 2014–15 Champions Hockey League playoffs, also known as 2014-15 Champions Hockey League playoffs, playoffs (wd:Q18199909)
7. RTEL1, also known as DKCA4, RTEL, regulator of telomere elongation helicase 1, PFBMFT3, DKCB5 (wd:Q18040548): protein-coding gene in the species Homo sapiens
8. National Health Laboratory, also known as National Health Laboratory in Myanmar, National Health Laboratory, Myanmar, NHL (wd:Q108410846): national biomedical reference laboratory in Yangon, Myanmar
9. NHL (wd:Q5484983): former Finnish newspaper
10. NHL: Nasty start to playoffs for Penguins, Senators (wd:Q17658736): Wikinews article

[Assistant]
The entity "playoffs" (wd:Q868291) refers to the final games of several sporting events used to determine the league champion or similar accolade. This seems relevant.

I will now search for NHL playoff seasons or series where the LA Kings (wd:Q203008) were winners. I will look for instances of playoffs (wd:Q868291) where the LA Kings were winners and get the latest date.

[Tool] Got no rows and 3 columns

[Assistant]
There are no direct instances of playoffs (wd:Q868291) with the LA Kings as winners in the data.

I will try a different approach: I will look for NHL seasons (wd:Q27020041) or NHL playoff seasons and check if the LA Kings won those. I will search for seasons related to the NHL and then check if the LA Kings won those seasons or playoff series within those seasons.

[Tool]
Top 10 entity alternatives:
1. 2009–10 NHL season, also known as 2009-10 NHL season (wd:Q978704): sports season
2. 2011–12 NHL season, also known as 2011-12 NHL season (wd:Q1415145): sports season
3. 2008–09 NHL season, also known as 2008-09 NHL season (wd:Q909426): sports season
4. 2010–11 NHL season, also known as 2010-11 NHL season (wd:Q598557): sports season
5. 2022–23 NHL season (wd:Q111952582): sports season
6. 2012–13 NHL season, also known as 2012-13 NHL season (wd:Q171706): sports season
7. 2017–18 NHL season, also known as 2017-18 NHL season (wd:Q28721200): National Hockey League season
8. 2013–14 NHL season, also known as 2013-14 NHL season (wd:Q13415244): 2013-2014 National Hockey League season
9. 2018–19 NHL season, also known as 2018-19 NHL season (wd:Q52722431): National Hockey League season
10. 2007–08 NHL season, also known as 2007-08 NHL season (wd:Q1419809): sports season

[Assistant] There are many NHL seasons as entities. I will now check if there is a property indicating the winner or champion of these NHL seasons. Then I will filter for seasons where the LA Kings were the champion and get the latest date.

[Tool]
Top 10 property alternatives:
1. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as prv/psv/pq/psn/pr/pqv/p/wdtn/ps/wdt/pqn/prn): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
2. Championat ID, also known as Championat.com identifier, www.championat.com/, https://www.championat.com/, Championat identifier, Championat.com ID (wd:P10800 as prv/psv/pq/psn/pr/pqv/p/wdtn/ps/wdt/pqn/prn): identifier of a team, sports facility, or player on the Championat website
3. competition won, also known as won event, won, winner of, victory (wd:P2522 as prv/psv/pq/psn/pr/pqv/p/wdtn/ps/wdt/pqn/prn): competition or sports event won by the subject, participant in
4. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as prv/psv/pq/psn/pr/pqv/p/wdtn/ps/wdt/pqn/prn): award or recognition received by a person, organization or creative work
5. competition class, also known as disability sport classifications, weight class, rated at, qualifies for, qualification class (wd:P2094 as prv/psv/pq/psn/pr/pqv/p/wdtn/ps/wdt/pqn/prn): official classification by a regulating body under which the sub...ents, teams, participants, or equipment) qualifies for inclusion
6. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as prv/psv/pq/psn/pr/pqv/p/wdtn/ps/wdt/pqn/prn): musical instrument that a person plays or teaches or used in a music occupation, uses
7. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as prv/psv/pq/psn/pr/pqv/p/wdtn/ps/wdt/pqn/prn): sports teams or clubs that the subject represents or represented, member of
8. statistical leader, also known as most valuable player, MVP, record setter, statistical leader (wd:P3279 as prv/psv/pq/psn/pr/pqv/p/wdtn/ps/wdt/pqn/prn): leader of a sports tournament in one of statistical qualities (points, assists, rebounds etc.).
9. participant, also known as suspect, player, party, participants, has participant (wd:P710 as prv/psv/pq/psn/pr/pqv/p/wdtn/ps/wdt/pqn/prn): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
10. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as prv/psv/pq/psn/pr/pqv/p/wdtn/ps/wdt/pqn/prn): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson

[Assistant] The property "winner" (wdt:P1346) is used for the winner of a competition or similar event. I will now query for NHL seasons (instances of wd:Q27020041) where the winner is the LA Kings (wd:Q203008) and get the latest date.

[Tool] Got no rows and 3 columns

[Assistant]
There are no NHL seasons where the LA Kings are directly marked as the winner.

I will try to find the last time the LA Kings won the Stanley Cup, which is the championship trophy awarded annually in the NHL playoffs. This should correspond to the last time they won a playoff series as well.

I will query for the last time the LA Kings won the Stanley Cup (wd:Q211872) using the winner property (wdt:P1346).

[Tool]
Got 1 row and 1 column:
| date                                |
| ----------------------------------- |
| 2014-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly identifies the last time the LA Kings won the Stanley Cup in 2014, which is a playoff series win. However, the query only considers the Stanley Cup event, which is the final championship, and does not account for earlier playoff series wins in other rounds or years. The user's question asks for the last time the LA Kings won any playoff series, not just the Stanley Cup. To improve, the query should be refined to include all playoff series wins, not only the Stanley Cup, by considering playoff series events or matches where the LA Kings were winners. This will provide a more accurate and complete answer to the user's question.

[Assistant]
Thank you for the feedback. To refine the query, I will look for playoff series or playoff rounds (not just the Stanley Cup final) where the LA Kings were winners. I will try to find entities or events that represent NHL playoff series or rounds and check if the LA Kings won those. Then I will get the latest date from those wins.

First, I will search for entities related to "NHL playoff round" or "NHL playoff series" to find a suitable class or event type.

[Tool]
Top 10 entity alternatives:
1. NHL playoff ties (wd:Q128303856): hockey games with no winner
2. 2019 IIHF World Championship playoff round (wd:Q56279067)
3. 2021 IIHF World Championship playoff round (wd:Q105616250)
4. 2018 IIHF World Championship playoff round (wd:Q39088271)
5. 2016 IIHF World Championship playoff round (wd:Q21559247)
6. 2017 IIHF World Championship playoff round (wd:Q28439734)
7. 2015 IIHF World Championship playoff round (wd:Q19946138)
8. 2022 IIHF World Championship playoff round (wd:Q112242239): ice hockey tournament
9. 2024 IIHF World Championship playoff round (wd:Q126325706): ice hockey tournament results
10. 2023 IIHF World Championship playoff round (wd:Q118948326): International ice hockey results

[Assistant] There are no direct entities for NHL playoff rounds or series. I will try searching for "NHL playoff" to see if there are relevant events or series.

[Tool]
Top 10 entity alternatives:
1. NHL playoff ties (wd:Q128303856): hockey games with no winner
2. NHL: Schedule set for playoff finals (wd:Q17667056): Wikinews article
3. NHL: Buffalo overwhelms Islanders in Playoff opener (wd:Q17667026): Wikinews article
4. NHL: Ducks edge Wild in Playoff opener (wd:Q17658551): Wikinews article
5. NHL: Stars advance in eighth-longest playoff game (wd:Q17659288): Wikinews article
6. National Hockey League, also known as LNH, NHL (wd:Q1215892): North American professional ice hockey league
7. NHL (wd:Q1631906): ice hockey video game series
8. Playoff (wd:Q7203502): 2011 film by Eran Riklis
9. New Holland railway station, also known as New Holland Station, NHL (wd:Q13528509): railway station in New Holland, North Lincolnshire, England, UK
10. Playoff (wd:Q7203505): means of breaking tie in golf tournament

[Assistant]
The search did not return relevant entities for NHL playoff series or rounds.

I will try a different approach: I will look for NHL seasons where the LA Kings participated and check for playoff series wins within those seasons. I will search for properties related to playoff series wins or rounds for the LA Kings.

I will search for properties of the LA Kings related to "playoff" or "series".

[Tool]
Top 10 property alternatives:
1. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as wdt/p): league or competition in which team or player has played, or in which an event occurs, participant in
2. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
3. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
4. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as wdt/p): home stadium or venue of a sports team or applicable performing arts organization, location
6. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
7. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as wdt/p): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
8. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
9. SportsLogos.net team ID, also known as SportsLogos.net ID (wd:P9122 as wdt/p): identifier for a sports organization on the website Sports Logos
10. category for members of a team, also known as category for players, category for team members (wd:P6112 as wdt/p): Wikimedia category for players playing for a sports team, topic's main category

No other items found

[Assistant]
There is no specific property for playoff series wins for the LA Kings.

I will try to find playoff series or rounds as events or competitions where the LA Kings were participants and winners. I will search for events or competitions that are subclasses or instances of playoffs (wd:Q868291) and check if the LA Kings won those.

I will query for events that are instances or subclasses of playoffs and have the LA Kings as winners, then get the latest date.

[Tool] Got no rows and 3 columns

[Assistant]
There are no events or competitions that are instances or subclasses of playoffs (wd:Q868291) with the LA Kings as winners in the data.

Given the limitations in the data, the best available information is the last time the LA Kings won the Stanley Cup in 2014, which is the final playoff series and implies they won multiple playoff series that year.

I will provide this as the refined answer, noting that more granular data on individual playoff series wins is not available.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly identifies the last time the LA Kings won the Stanley Cup in 2014, which is indeed a playoff series win. However, the query only considers the Stanley Cup event (wd:Q211872) and does not account for other playoff series wins that may have occurred more recently but are not the final championship. The question asks for the last time the LA Kings won any playoff series, not just the Stanley Cup. To improve, the query should be refined to include all playoff series wins, not just the Stanley Cup, if such data is available in Wikidata. Additionally, the answer should clarify that the data is limited to Stanley Cup wins if no other playoff series data is found.

[Assistant]
Thank you for the feedback. To address this, I will attempt to find any playoff series wins by the LA Kings, not limited to the Stanley Cup. I will look for events or competitions related to NHL playoffs or playoff rounds where the LA Kings were winners, and get the latest date from those.

Since there is no direct entity for NHL playoff series or rounds, I will try to find events or competitions that are subclasses or instances of NHL playoffs or related to NHL seasons, where the LA Kings were winners.

I will start by searching for subclasses or instances of NHL playoffs or NHL seasons that might represent playoff rounds or series.

[Tool]
Got 3 rows and 2 columns:
| event                                                  | eventLabel                                   |
| ------------------------------------------------------ | -------------------------------------------- |
| NASCAR playoffs (wd:Q1068013)                          | NASCAR playoffs (en)                         |
| National Women's Soccer League Playoffs (wd:Q18378849) | National Women's Soccer League Playoffs (en) |
| playoffs (wd:Q868291)                                  | playoffs (en)                                |

[Assistant]
There are no subclasses of playoffs (wd:Q868291) specific to NHL playoff series or rounds.

I will now try to find NHL seasons (wd:Q27020041) or NHL playoff seasons and check if the LA Kings won any playoff series within those seasons. I will look for competitions or events related to NHL playoffs where the LA Kings were winners.

I will search for events or competitions that have the LA Kings as winners and are related to NHL playoffs or NHL seasons.

[Tool]
Got 2 rows and 3 columns:
| event                             | eventLabel              | date |
| --------------------------------- | ----------------------- | ---- |
| 2013–14 NHL season (wd:Q13415244) | 2013–14 NHL season (en) |      |
| 2011–12 NHL season (wd:Q1415145)  | 2011–12 NHL season (en) |      |

[Assistant]
The LA Kings are marked as winners of NHL seasons 2013-14 and 2011-12. The 2013-14 NHL season corresponds to the year they won the Stanley Cup.

I will now check if there are any playoff series or rounds within the 2013-14 NHL season where the LA Kings were winners. I will look for events or competitions that are part of the 2013-14 NHL season and check if the LA Kings won those.

[Tool] Got no rows and 3 columns

[Assistant]
There are no playoff series or rounds marked as part of the 2013-14 NHL season with the LA Kings as winners in the data.

Given the data limitations, the best available information is that the last time the LA Kings won a playoff series is when they won the Stanley Cup in the 2013-14 NHL season (year 2014).

I will provide this as the refined answer, clarifying that more granular data on individual playoff series wins is not available.

[Tool] Stopped generation process


Failed to generate SPARQL query

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

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/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for 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. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. 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.
4. 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.
5. 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.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what does george wilson do for a living?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what job did george w bush have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q207 wdt:P106 ?x .
}

Using entities:
George W. Bush, also known as GWB, POTUS 43, George Bush, President Bush, Bush Jr. (wd:Q207): President of the United States from 2001 to 2009, motivational speaker, rugby union player, military officer, autobiographer, businessperson, statesperson, politician, financier, painter

Using properties:
occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)

Example 2:
Question:
what did george eastman make?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P61 wd:Q189147 .
}

Using entities:
George Eastman, also known as geog. eastman, g. eastman, Geo. Eastman (wd:Q189147): American entrepreneur, inventor and photographer (1854–1932), patron of the arts, philanthropist, photographer, entrepreneur, inventor

Using properties:
discoverer or inventor, also known as inventor or discoverer, inventor, invented by, invented, introduced by (wd:P61 as wdt): subject who discovered, first described, invented, or developed this discovery or invention or scientific hypothesis or theory

Example 3:
Question:
what does tim gunn do for a living?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q978646 wdt:P106 ?x .
}

Using entities:
Tim Gunn, also known as Timothy MacKenzie Gunn (wd:Q978646): American actor and fashion consultant, reality television participant, university teacher, creative director, fashion designer, costume designer, television maker, photographer, voice actor, writer, actor

Using properties:
occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)

[Assistant] The examples suggest that the property "occupation" (wdt:P106) is used to find what a person does for a living. Next, I need to find the Wikidata entity for "George Wilson" to use it in the query. I will search for the entity "George Wilson" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Ajita Wilson, also known as George Wilson (wd:Q164526): American actress (1950–1987), pornographic actor, actor
2. George Wilson (wd:Q651203): basketball player from the United States born in 1942, basketball player
3. George A. Wilson, also known as George Allison Wilson, George Wilson (wd:Q382688): American politician (1884-1953), politician, lawyer, judge
4. George Washington Wilson, also known as George Wilson, G. W. Wilson, George W. Wilson (wd:Q2179710): Scottish painter and photographer (1823-1893), businessperson, photographer, painter
5. George Wilson (wd:Q5546405): English footballer (1892-1961), association football player
6. George Wilson (wd:Q5546401): American football coach (1914-1978), American football player, American football coach, basketball player
7. George Wilson, also known as George Washington Wilson, Teddy Wilson (wd:Q5546410): baseball outfielder from the United States (1925-1974), baseball player
8. George Wilson, also known as George Patterson Wilson (wd:Q18392304): Australian footballer (1920-2014), Australian rules football player
9. George Wilson, also known as George Charles Lee Wilson (wd:Q18129280): New Zealand cricketer (1887-1917), cricketer
10. George Wilson, also known as Wilson, George, 1818-1859 (wd:Q14949042): Scottish chemist, Regius Professor of Technology at the University of Edinburgh (1818-1859), chemist

[Assistant]
There are multiple entities named George Wilson. To clarify, I will check if the user means a specific George Wilson by asking if they refer to a particular field or context (e.g., sports, politics, arts) or if they mean a fictional character.
There are many people named George Wilson. Could you please specify if you mean a particular George Wilson, for example, from sports, politics, arts, or a fictional character? This will help me find the correct occupation.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?location ?locationLabel WHERE {
  wd:Q1319988 wdt:P276 ?location .
  OPTIONAL {
    ?location rdfs:label ?locationLabel FILTER ( LANG( ?locationLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| location                             | locationLabel               |
| ------------------------------------ | --------------------------- |
| Kent Island (wd:Q6391790)            | Kent Island (en)            |
| Sandy Point State Park (wd:Q7417421) | Sandy Point State Park (en) |
| Stevensville (wd:Q755246)            | Stevensville (en)           |

The Chesapeake Bay Bridge is located at Kent Island, Sandy Point State Park, and Stevensville.

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

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/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for 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. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. 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.
4. 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.
5. 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.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] where is chesapeake bay bridge?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
where does the potomac river flow into?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q179444 wdt:P403 ?x .
}

Using entities:
Potomac River, also known as Co-hon-go-roo-ta River, Patawmeck River, Patawomeck River, Potowmac River (wd:Q179444): river in the mid-Atlantic United States

Using properties:
mouth of the watercourse, also known as flows into, watercourse outflow, watercourse ends in, watercourse drain, tributary of (wd:P403 as wdt): the body of water to which the watercourse drains

Example 2:
Question:
where was the battle of antietam creek?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q719252 wdt:P276 ?x .
}

Using entities:
Battle of Antietam, also known as Battle of Sharpsburg (wd:Q719252): 1862 major battle of the American Civil War

Using properties:
location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

Example 3:
Question:
where was the battle of appomattox located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q1355391 wdt:P131 ?x .
}

Using entities:
Battle of Appomattox Court House (wd:Q1355391): 1865 battle of the American Civil War

Using properties:
located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of

[Assistant]
From the examples, it is clear that to find the location of a structure like the Chesapeake Bay Bridge, the property "location" (wdt:P276) is commonly used.

Next, I will search for the entity "Chesapeake Bay Bridge" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Chesapeake Bay Bridge, also known as Bay Bridge, Governor William Preston Lane Jr. Memorial Bridge, Gov. William Preston Lane Jr. Memorial Bridge, William Preston Lane Junior Memorial Bridge (wd:Q1319988): major dual-span bridge in the U.S. state of Maryland, spanning the Chesapeake Bay
2. Chesapeake Bay Bridge-Tunnel, also known as Lucius J. Kellam, Jr. Bridge-Tunnel, CBBT (wd:Q1070563): bridge-tunnel beginning in Chesapeake Bay, Virginia
3. Chesapeake Bay Bridge–Tunnel (wd:Q60094303): scholarly article
4. Chesapeake Bay Bridge and Tunnel (wd:Q114520613): episode of Modern Marvels (S8 E5)
5. Chesapeake Bay Bridge and Tunnel District (wd:Q5092828): political subdivision of Virginia
6. Chesapeake Bay (wd:Q216868): estuary in the U.S. states of Maryland, Delaware, District of Columbia, and Virginia
7. San Francisco–Oakland Bay Bridge, also known as Emperor Norton Bridge, Bay Bridge, San Francisco-Oakland Bay Bridge (wd:Q771404): suspension bridge connecting San Francisco and Oakland, California, USA
8. Yokohama Bay Bridge, also known as Bay Bridge (wd:Q1138655): cable-stayed bridge
9. Bridge Bay (wd:Q49374128): bay in Teton County, Wyoming, United States of America
10. Bay Bridge (wd:Q112811780): British racehorse

[Assistant] The entity "Chesapeake Bay Bridge" corresponds to wd:Q1319988. Now, I will query the location (wdt:P276) of this entity to find out where the Chesapeake Bay Bridge is located.

[Tool]
Got 3 rows and 2 columns:
| location                             | locationLabel               |
| ------------------------------------ | --------------------------- |
| Kent Island (wd:Q6391790)            | Kent Island (en)            |
| Sandy Point State Park (wd:Q7417421) | Sandy Point State Park (en) |
| Stevensville (wd:Q755246)            | Stevensville (en)           |

[Assistant]
The Chesapeake Bay Bridge (wd:Q1319988) is located at Kent Island (wd:Q6391790), Sandy Point State Park (wd:Q7417421), and Stevensville (wd:Q755246). These locations are associated with the bridge.

I will now provide the final answer with these locations.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the locations associated with the Chesapeake Bay Bridge using the property P276 (location). The answer lists the three locations found in the query result, which are Kent Island, Sandy Point State Park, and Stevensville. The query follows the rules by returning the identifiers and labels of the locations. The answer is complete and accurate based on the data retrieved from Wikidata.