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

Got 1 row and 2 columns:
| ?stadium                   | ?stadiumLabel |
| -------------------------- | ------------- |
| Aviva Stadium (wd:Q244402) | Aviva Stadium |

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-sebastian

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] To answer the question "Where do Ireland play rugby union?", we need to identify the main stadium or venues where the Irish national rugby team plays their home matches. Let's start by searching for the entity representing the Irish national rugby union team in Wikidata.

[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. Irish Rugby Football Union, also known as Ireland Rugby Union, IRFU (wd:Q1672926): governing body for rugby union on the island of Ireland
9. rugby union in Ireland, also known as Ireland rugby union (wd:Q654217): third most popular form of football in Ireland, organised on an all-island basis
10. rugby union team, also known as rugby team (wd:Q14645593): group of people that play rugby union

No other items found

[Assistant]
The top result is the Ireland rugby union team (wd:Q599903). Now, let's find out where this team plays their home matches. We need to look for a property that indicates the home ground or stadium of the team. A common property for this is `home ground` or `stadium`.

Let's search for the property that might indicate the home ground or stadium of the team.

[Tool]
Top 10 property alternatives:
1. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as p/wdt): home stadium or venue of a sports team or applicable performing arts organization, location
2. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as p/wdt): subject's ordinal position as qualitatively evaluated relative to other members of a group
3. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/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
4. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): 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
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as p/wdt): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
7. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
8. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time

No other items found

[Assistant]
The top result for the property is `home venue` (wd:P115), which seems to be the correct property to find the home ground of the Ireland rugby union team.

Now, let's construct a SPARQL query to find the home venue of the Ireland rugby union team (wd:Q599903).

```sparql
SELECT ?stadium WHERE {
  wd:Q599903 wdt:P115 ?stadium.
}
```

Let's execute this query to get the result.

[Tool]
Got 1 row and 1 column:
| ?stadium                   |
| -------------------------- |
| Aviva Stadium (wd:Q244402) |

[Assistant]
The result shows that the Ireland rugby union team plays their home matches at the Aviva Stadium (wd:Q244402).

To provide a complete answer, let's include the label of the stadium in the query. However, since we are not allowed to use the `SERVICE wikibase:label` construct, we will use `rdfs:label` to get the label of the stadium.

Here is the final SPARQL query:

```sparql
SELECT ?stadium ?stadiumLabel WHERE {
  wd:Q599903 wdt:P115 ?stadium.
  OPTIONAL { ?stadium rdfs:label ?stadiumLabel . FILTER(LANG(?stadiumLabel) = "en") }
}
```

Let's execute this query to get the final result.

[Tool]
Got 1 row and 2 columns:
| ?stadium                   | ?stadiumLabel |
| -------------------------- | ------------- |
| Aviva Stadium (wd:Q244402) | Aviva Stadium |

[Assistant]
The final result shows that the Ireland rugby union team plays their home matches at the Aviva Stadium (wd:Q244402).

Therefore, the answer to the question "Where do Ireland play rugby union?" is:

**Aviva Stadium**

Here is the final SPARQL query:

```sparql
SELECT ?stadium ?stadiumLabel WHERE {
  wd:Q599903 wdt:P115 ?stadium.
  OPTIONAL { ?stadium rdfs:label ?stadiumLabel . FILTER(LANG(?stadiumLabel) = "en") }
}
```

And the answer:

**Aviva Stadium**

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?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          |
| Club Atlético Independiente (wd:Q214978)                       | Club Atlético Independiente                        |
| Argentina national under-23 football team (wd:Q2462207)        | Argentina national under-23 football team          |
| Argentina national under-17 football team (wd:Q2902690)        | Argentina national under-17 football team          |
| Manchester City F.C. (wd:Q50602)                               | Manchester City F.C.                               |
| FC Barcelona (wd:Q7156)                                        | FC Barcelona                                       |
| Argentina men's national association football team (wd:Q79800) | Argentina men's national association football team |
| Atlético de Madrid (wd:Q8701)                                  | Atlético de Madrid                                 |

Sergio Agüero has 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-sebastian

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] To answer the question about which team Aguero played for, we need to identify the entity for Aguero and then find the teams he has been associated with. Let's start by searching for Aguero in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Agüero, also known as Agüero, Huesca (wd:Q399683): municipality in the province of Huesca, Spain
2. Agüero (wd:Q3296607): metro station in Buenos Aires
3. Agüero (wd:Q24013451): in Huesca province, Spain
4. Agüero (wd:Q61754610): family name
5. Aguero (wd:Q21491256): family name
6. Blanka Aguero, also known as Aguero, B.Shaw, Blanka Shaw (wd:Q21608757): bryologist, botanist
7. Sergio Agüero, also known as Sergio Leonel Agüero del Castillo (wd:Q119562): Argentine association football player, association football player, online streamer, businessperson
8. Taismary Agüero (wd:Q2590488): beach volleyball player, volleyball player
9. Fernando Agüero (wd:Q888684): politician (1920-2011), politician
10. Pablo Agüero (wd:Q3359955): Argentine film director, film director, screenwriter, director

No other items found

[Assistant]
From the search results, it is clear that the entity we are looking for is Sergio Agüero (wd:Q119562). Now, let's find out which teams he has played for. We will look for the property that indicates the team a player is associated with, which is likely to be "plays for" or "member of."

Let's search for the relevant property.

[Tool]
Top 10 property alternatives:
1. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as p/wdt): sports teams or clubs that the subject represents or represented, member of
2. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
3. participant, also known as suspect, player, party, participants, has participant (wd:P710 as p/wdt): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
4. number of matches played/races/starts, also known as gp, starts, races, number of games played, mp (wd:P1350 as p/wdt): matches or games a player or a team played during an event. Also...matches a player officially appeared in during the whole career.
5. playmakerstats.com player ID, also known as Ceroacero player ID, Zerozero player ID, www.playmakerstats.com/player.php?id=, TheFinalBall player ID, https://www.playmakerstats.com/player.php?id= (wd:P3047 as p/wdt): identifier for a player at playmakerstats.com (formerly TheFinalBall.com)
6. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as p/wdt): position or specialism of a player on a team
7. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as p/wdt): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
8. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
9. BDFA player ID (wd:P6188 as p/wdt): player ID on the Argentine Football Database website
10. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as p/wdt): league or competition in which team or player has played, or in which an event occurs, participant in

No other items found

[Assistant]
The property "member of sports team" (wdt:P54) is the most relevant for finding the teams Sergio Agüero has played for. Let's construct a SPARQL query to retrieve the teams he has been a member of.

Here is the initial SPARQL query:

```sparql
SELECT ?team WHERE {
  wd:Q119562 wdt:P54 ?team .
}
```

Let's execute this query to see the results.

[Tool]
Got 8 rows and 1 column:
| ?team                                                          |
| -------------------------------------------------------------- |
| Argentina national under-20 football team (wd:Q1187790)        |
| Club Atlético Independiente (wd:Q214978)                       |
| Argentina national under-23 football team (wd:Q2462207)        |
| Argentina national under-17 football team (wd:Q2902690)        |
| Manchester City F.C. (wd:Q50602)                               |
| FC Barcelona (wd:Q7156)                                        |
| Argentina men's national association football team (wd:Q79800) |
| Atlético de Madrid (wd:Q8701)                                  |

[Assistant]
The SPARQL query has returned the teams that Sergio Agüero has played for. These include both club teams and national teams. Here are the teams:

1. Argentina national under-20 football team (wd:Q1187790)
2. Club Atlético Independiente (wd:Q214978)
3. Argentina national under-23 football team (wd:Q2462207)
4. Argentina national under-17 football team (wd:Q2902690)
5. Manchester City F.C. (wd:Q50602)
6. FC Barcelona (wd:Q7156)
7. Argentina men's national association football team (wd:Q79800)
8. Atlético de Madrid (wd:Q8701)

Since the user might be interested in the labels of these teams, let's modify the query to include the labels of the teams.

Here is the updated SPARQL query:

```sparql
SELECT ?team ?teamLabel WHERE {
  wd:Q119562 wdt:P54 ?team .
  OPTIONAL { ?team rdfs:label ?teamLabel . FILTER(LANG(?teamLabel) = "en") }
}
```

Let's execute this query to get the labels of the teams.

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

[Assistant]
The SPARQL query has successfully returned the teams that Sergio Agüero has played for, along with their labels. Here are the teams:

1. **Argentina national under-20 football team** (wd:Q1187790)
2. **Club Atlético Independiente** (wd:Q214978)
3. **Argentina national under-23 football team** (wd:Q2462207)
4. **Argentina national under-17 football team** (wd:Q2902690)
5. **Manchester City F.C.** (wd:Q50602)
6. **FC Barcelona** (wd:Q7156)
7. **Argentina men's national association football team** (wd:Q79800)
8. **Atlético de Madrid** (wd:Q8701)

These are the teams that Sergio Agüero has been a member of throughout his career.

I will now provide the final SPARQL query and the answer to the user's question.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language WHERE {
  wd:Q155 wdt:P37 ?language .
}

The official language of Brazil is Portuguese, represented by the IRI `wd:Q5146`.

Here is the final SPARQL query and answer:

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

Answer: The official language of Brazil 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-sebastian

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] To answer the question about the official language of Brazil, I need to identify the entity for Brazil and the property for the official language. Let's start by searching for the entity representing Brazil.

[Tool]
Top 10 entity alternatives:
1. Brazil, also known as Federative Republic of Brazil, Brasil, br (wd:Q155): country in South America
2. Brazil, also known as br, Brasil, Federative Republic of Brazil (wd:Q155): country in South America
3. Brazil (wd:Q25057): 1985 dystopian film by Terry Gilliam
4. Brazil, also known as Brazil, Indiana, Brazil, IN (wd:Q1998364): city in Clay County, Indiana, United States
5. State of Brazil, also known as Brazil, Colonial Brazil, Portuguese Brazil (wd:Q11876909): state of the Portuguese Empire
6. Brazil, also known as Stars and Guitars (wd:Q4958616): 1944 film by Joseph Santley
7. Brazil, also known as Brazil, IA (wd:Q17511873): human settlement in Appanoose County, Iowa, United States
8. Viceroyalty of Brazil, also known as Brasil, Brazil (wd:Q2920081): Portuguese viceroyalty in Brazil 1763-1815
9. Brazil (wd:Q13581616): 1991 song by Bebi Dol
10. Brazil (wd:Q4095706): 1994 novel by John Updike

No other items found

[Assistant] The top result for Brazil is the country in South America, which is the entity we need. The IRI for Brazil is `wd:Q155`. Next, I will search for the property that represents the official language of a country.

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as psv/prn/pq/pr/ps/prv/wdtn/pqn/pqv/psn/p/wdt): language designated as official by this item, language used
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as psv/prn/pq/pr/ps/prv/wdtn/pqn/pqv/psn/p/wdt): label for the items in their official language  or their original language, name
3. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as psv/prn/pq/pr/ps/prv/wdtn/pqn/pqv/psn/p/wdt): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as psv/prn/pq/pr/ps/prv/wdtn/pqn/pqv/psn/p/wdt): regulatory body of a language
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as psv/prn/pq/pr/ps/prv/wdtn/pqn/pqv/psn/p/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as psv/prn/pq/pr/ps/prv/wdtn/pqn/pqv/psn/p/wdt): language or languages a person has learned from early childhood, languages spoken, written or signed
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as psv/prn/pq/pr/ps/prv/wdtn/pqn/pqv/psn/p/wdt): language widely used (spoken or written) in this place or at this event or organisation
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as psv/prn/pq/pr/ps/prv/wdtn/pqn/pqv/psn/p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. programmed in, also known as language, programming language, written in (wd:P277 as psv/prn/pq/pr/ps/prv/wdtn/pqn/pqv/psn/p/wdt): the programming language(s) in which the software is developed
10. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as psv/prn/pq/pr/ps/prv/wdtn/pqn/pqv/psn/p/wdt): language in which the writer has written their work, languages spoken, written or signed

No other items found

[Assistant]
The top result for the property "official language" is `wd:P37`. This property seems to be the correct one for identifying the official language of a country. Now, I will construct a SPARQL query to find the official language of Brazil using these entities and properties.

Let's execute the query:

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

This query will return the official language of Brazil.

[Tool]
Got 1 row and 1 column:
| ?language             |
| --------------------- |
| Portuguese (wd:Q5146) |

[Assistant]
The official language of Brazil is Portuguese, represented by the IRI `wd:Q5146`.

Here is the final SPARQL query and answer:

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

Answer: The official language of Brazil is Portuguese.


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

The zip codes for Morgantown, WV 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-sebastian

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] To find the zip code for Morgantown, WV, I need to identify the entity for Morgantown, WV and then find the property that represents the zip code. Let's start by searching for the entity for Morgantown, WV.

[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

No other items found

[Assistant] The top result for "Morgantown, WV" is `wd:Q653636`, which represents the city of Morgantown, West Virginia. Now, I need to find the property that represents the zip code. I will search for properties related to this entity that might indicate a zip code.

[Tool]
Top 10 property alternatives:
1. postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as p/wdt): identifier assigned by postal authorities for the subject area or building
2. local dialing code, also known as area code, dialling code, local calling code, local dialling code, STD code (wd:P473 as p/wdt): identifier dedicated to subject city by the area communication network
3. FIPS 55-3 (locations in the US), also known as fips code for US locations, Federal Information Processing Standard 55-3, FIPS 55-3 (wd:P774 as p/wdt): identifier for places in the United States per former Federal Information Processing Standard FIPS 55-3
4. UN/LOCODE, also known as LOCCODE, LOCODE, UNECE location code, UNECE LOCODE, United Nations location code (wd:P1937 as p/wdt): geographic location code maintained by UNECE
5. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
6. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
7. FactGrid item ID, also known as FG ID, FactGrid ID (wd:P8168 as wdt/p/wdtn): identifier for an item in FactGrid
8. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
9. GeoNames ID, also known as GeoNames, Geonames Id (wd:P1566 as wdtn/p/wdt): identifier in the GeoNames geographical database
10. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): 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

No other items found

[Assistant]
The property `wd:P281` (postal code) seems to be the most relevant for finding the zip code of Morgantown, WV. I will now construct a SPARQL query to retrieve the zip code for Morgantown, WV using this property.

Let's execute the query:

```sparql
SELECT ?zipCode
WHERE {
  wd:Q653636 wdt:P281 ?zipCode .
}
```

This query will return the zip code for Morgantown, WV.

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

[Assistant]
The query returned multiple zip codes for Morgantown, WV: 26501, 26501–26508, 26504, and 26506. These are the zip codes associated with the city of Morgantown, WV.

Here is the final SPARQL query and the answer:

```sparql
SELECT ?zipCode
WHERE {
  wd:Q653636 wdt:P281 ?zipCode .
}
```

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

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?award ?date WHERE {
  wd:Q203008 wdt:P166 ?award .
  OPTIONAL {
    ?award wdt:P585 ?date
  }
}

The LA Kings have won the Clarence S. Campbell Bowl, which is an award given to the Western Conference champions in the NHL playoffs. However, the exact date of the last playoff series win is not available in the knowledge graph. For the most accurate information, please consult external sources such as sports databases or news articles.

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

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

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]
To answer the question about when the LA Kings last won a playoff series, we need to identify the relevant entities and properties in the knowledge graph. We'll start by searching for the LA Kings team and then look for information about their playoff victories.

### Step 1: Identify the LA Kings Team
Let's search for the LA Kings team in the knowledge graph.

#### Search for the LA Kings Team
I will search for the LA Kings team as a subject in the knowledge graph.

[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

No other items found

[Assistant]
The top result for "LA Kings" is the Los Angeles Kings hockey team (wd:Q203008). This is the entity we need to focus on.

### Step 2: Find Information About Playoff Victories
Next, we need to find information about the playoff victories of the LA Kings. We will look for properties related to championships, playoffs, or seasons.

#### List Properties of the LA Kings Team
I will list the properties of the LA Kings team to see if there are any relevant properties related to playoff victories.

[Tool]
Got 271 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                           | object                                 |
| ------------------------------ | ---------------------------------- | -------------------------------------- |
| Los Angeles Kings (wd:Q203008) | instance of (wdt:P31)              | ice hockey team (wd:Q4498974)          |
| Los Angeles Kings (wd:Q203008) | country (wdt:P17)                  | United States (wd:Q30)                 |
| Los Angeles Kings (wd:Q203008) | Commons category (wdt:P373)        | Los Angeles Kings                      |
| Los Angeles Kings (wd:Q203008) | inception (wdt:P571)               | 1966-01-01T00:00:00Z                   |
| Los Angeles Kings (wd:Q203008) | sport (wdt:P641)                   | ice hockey (wd:Q41466)                 |
| Los Angeles Kings (wd:Q203008) | official website (wdt:P856)        | <http://kings.nhl.com/>                |
| Los Angeles Kings (wd:Q203008) | award received (wdt:P166)          | Clarence S. Campbell Bowl (wd:Q922116) |
| Los Angeles Kings (wd:Q203008) | topic's main category (wdt:P910)   | wd:Q6393060                            |
| Los Angeles Kings (wd:Q203008) | social media followers (wdt:P8687) | 1169600                                |
| Los Angeles Kings (wd:Q203008) | named after (wdt:P138)             | king (wd:Q12097)                       |
| ...                            | ...                                | ...                                    |

[Assistant]
From the list of properties, we can see that the LA Kings have received the Clarence S. Campbell Bowl (wd:Q922116), which is an award given to the Western Conference champions in the NHL playoffs. However, this does not directly tell us when they last won a playoff series.

### Step 3: Find Specific Playoff Series Wins
To find the specific playoff series wins, we need to look for properties related to playoff appearances or series wins. We can try to find properties like "championships" or "playoff series wins."

#### Search for Properties Related to Playoff Series Wins
I will search for properties related to playoff series wins or championships.

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
2. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): 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 p/wdt): league or competition in which team or player has played, or in which an event occurs, participant in
4. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
6. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as p/wdt): 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
7. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as p/wdt): home stadium or venue of a sports team or applicable performing arts organization, location
8. SportsLogos.net team ID, also known as SportsLogos.net ID (wd:P9122 as p/wdt): identifier for a sports organization on the website Sports Logos
9. Instagram username, also known as IG username, www.instagram.com, urinsta, ufinsta, Insta ID (wd:P2003 as p/wdt): item's username on Instagram, website username or ID

No other items found

[Assistant]
The search did not yield any specific properties related to playoff series wins. However, we can use the "award received" property (wdt:P166) to find instances where the LA Kings won awards, which might include playoff series wins.

### Step 4: Query for Award Received
We will query for the awards received by the LA Kings and filter for those that are related to playoff victories.

#### Execute SPARQL Query for Awards Received
I will execute a SPARQL query to find the awards received by the LA Kings and their dates.

[Tool]
Got 1 row and 2 columns:
| ?award                                 | ?date |
| -------------------------------------- | ----- |
| Clarence S. Campbell Bowl (wd:Q922116) |       |

[Assistant]
The query returned the Clarence S. Campbell Bowl, which is an award given to the Western Conference champions in the NHL playoffs. However, it did not provide a date for when the LA Kings won this award.

### Step 5: Refine the Query to Include Dates
To get the specific dates when the LA Kings won the Clarence S. Campbell Bowl, we need to refine the query to include the date of the award.

#### Execute SPARQL Query with Date
I will execute a SPARQL query to find the dates when the LA Kings won the Clarence S. Campbell Bowl.

[Tool] Got no rows and 2 columns

[Assistant]
The query did not return any results, which suggests that the specific dates for when the LA Kings won the Clarence S. Campbell Bowl are not directly linked in the knowledge graph.

### Step 6: Search for Specific Playoff Series Wins
Since the direct approach did not yield results, we need to search for specific playoff series wins. We can try to find properties or statements related to playoff series wins or championships.

#### Search for Properties Related to Championships
I will search for properties related to championships or playoff series wins.

[Tool]
Top 10 property alternatives:
1. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as p/wdt): 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 p/wdt): award or recognition received by a person, organization or creative work
3. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
4. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as p/wdt): home stadium or venue of a sports team or applicable performing arts organization, location
5. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as p/wdt): 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
7. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): 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
8. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
9. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
10. category for members of a team, also known as category for players, category for team members (wd:P6112 as p/wdt): Wikimedia category for players playing for a sports team, topic's main category

No other items found

[Assistant]
The search for properties related to championships or playoff series wins did not yield any new properties that are specifically linked to the LA Kings. However, we can try a different approach by looking for specific events or seasons where the LA Kings won playoff series.

### Step 7: Search for Specific Events or Seasons
We can search for specific events or seasons where the LA Kings won playoff series. This might involve looking for properties related to seasons or playoff series.

#### Search for Properties Related to Seasons
I will search for properties related to seasons or playoff series.

[Tool]
Top 10 property alternatives:
1. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
2. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as p/wdt): league or competition in which team or player has played, or in which an event occurs, participant in
3. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
5. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
6. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
7. category for members of a team, also known as category for players, category for team members (wd:P6112 as p/wdt): Wikimedia category for players playing for a sports team, topic's main category
8. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
9. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as p/wdt): home stadium or venue of a sports team or applicable performing arts organization, location
10. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as p/wdt): 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

No other items found

[Assistant]
The search for properties related to seasons or playoff series did not yield any new properties that are specifically linked to the LA Kings. Given the limitations of the available data in the knowledge graph, we may need to consider a different approach or acknowledge that the specific information about the last playoff series win is not directly available.

### Step 8: Consider External Sources
Since the knowledge graph does not provide the specific information we need, we may need to consider external sources such as sports databases or news articles to find the answer. However, for the purpose of this task, we will provide our best attempt based on the available data.

### Best Attempt
Given the lack of specific data in the knowledge graph, we can provide a query that lists the awards received by the LA Kings, which might include playoff series wins, and note that the exact date of the last playoff series win is not available in the knowledge graph.

#### Execute Final SPARQL Query
I will execute a final SPARQL query to list the awards received by the LA Kings.

[Tool]
Got 1 row and 2 columns:
| ?award                                 | ?date |
| -------------------------------------- | ----- |
| Clarence S. Campbell Bowl (wd:Q922116) |       |

[Assistant]
The final query confirms that the LA Kings have won the Clarence S. Campbell Bowl, but the exact date of the win is not available in the knowledge graph.

### Conclusion
Based on the available data in the knowledge graph, we can say that the LA Kings have won the Clarence S. Campbell Bowl, which is an award given to the Western Conference champions in the NHL playoffs. However, the specific date of the last playoff series win is not directly available in the knowledge graph.

To provide a more accurate answer, we would need to consult external sources such as sports databases or news articles.

#### Final Answer
The LA Kings have won the Clarence S. Campbell Bowl, which is an award given to the Western Conference champions in the NHL playoffs. However, the exact date of the last playoff series win is not available in the knowledge graph. For the most accurate information, please consult external sources such as sports databases or news articles.

I will now provide the final SPARQL query and answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?occupation WHERE {
  wd:Q164526 wdt:P106 ?occupation
}

George Wilson, also known as Ajita Wilson, is an actor and a pornographic actor.

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

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

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]
To answer the question about George Wilson's occupation, I'll first need to identify the correct entity for George Wilson in the knowledge graph. Then, I can look for the property that indicates his occupation or profession.

Let's start by searching for George Wilson as a subject in the knowledge graph.

[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

No other items found

[Assistant]
The search returned multiple entities named George Wilson. To determine which one is the correct person, I need more context or information about the specific George Wilson mentioned in the question. However, since no additional context was provided, I will assume the most prominent or recent one, which is the first result, Ajita Wilson, also known as George Wilson (wd:Q164526).

Next, I will check the occupation of this George Wilson.

[Tool]
Got 250 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                         | object                                                                                |
| ------------------------- | -------------------------------- | ------------------------------------------------------------------------------------------------------------- |
| Ajita Wilson (wd:Q164526) | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| Ajita Wilson (wd:Q164526) | occupation (wdt:P106)            | actor (wd:Q33999)                                                                                |
| Ajita Wilson (wd:Q164526) | sex or gender (wdt:P21)          | trans woman (wd:Q1052281)                                                                                |
| Ajita Wilson (wd:Q164526) | given name (wdt:P735)            | Ajita (wd:Q66297626)                                                                                |
| Ajita Wilson (wd:Q164526) | date of birth (wdt:P569)         | 1950-01-12T00:00:00Z                                                                                |
| Ajita Wilson (wd:Q164526) | Commons category (wdt:P373)      | Ajita Wilson                                                                                |
| Ajita Wilson (wd:Q164526) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Ajita%20Wilson%20by%20Marianne%20Greenwood%2C%201981.jpg> |
| Ajita Wilson (wd:Q164526) | country of citizenship (wdt:P27) | United States (wd:Q30)                                                                                |
| Ajita Wilson (wd:Q164526) | family name (wdt:P734)           | Wilson (wd:Q1645480)                                                                                |
| Ajita Wilson (wd:Q164526) | place of birth (wdt:P19)         | Brooklyn (wd:Q18419)                                                                                |
| ...                       | ...                              | ...                                                                                |

[Assistant]
From the list of triples, I can see that the entity wd:Q164526 (Ajita Wilson, also known as George Wilson) has the occupation of "actor" (wd:Q33999).

To confirm this, I will run a SPARQL query to retrieve the occupation of George Wilson.

[Tool]
Got 2 rows and 1 column:
| ?occupation                     |
| ------------------------------- |
| actor (wd:Q33999)               |
| pornographic actor (wd:Q488111) |

[Assistant]
The SPARQL query confirms that George Wilson, also known as Ajita Wilson, has the occupations of "actor" (wd:Q33999) and "pornographic actor" (wd:Q488111).

Therefore, the answer to the question "What does George Wilson do for a living?" is that he is an actor and a pornographic actor.

I will now provide the final answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?coordinates ?location WHERE {
  wd:Q1319988 wdt:P625 ?coordinates .
  OPTIONAL {
    wd:Q1319988 wdt:P131 ?location
  }
}

The Chesapeake Bay Bridge is located at coordinates POINT(-76.372222 38.991667) and spans across Anne Arundel County and Queen Anne's County in Maryland.

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

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

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]
To answer the question about the location of the Chesapeake Bay Bridge, I need to identify the entity for the Chesapeake Bay Bridge and then find its location. Let's start by searching for the Chesapeake Bay Bridge in the knowledge graph.

I will search for the subject "Chesapeake Bay Bridge" in Wikidata.

[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

No other items found

[Assistant]
The top result for "Chesapeake Bay Bridge" is `wd:Q1319988`, which is described as a major dual-span bridge in the U.S. state of Maryland, spanning the Chesapeake Bay. This seems to be the correct entity.

Next, I will find the location of this bridge. The property for location is typically `wdt:P625` (coordinate location) or `wdt:P131` (located in the administrative territorial entity). I will check both properties.

Let's start with `wdt:P625` to get the coordinates of the Chesapeake Bay Bridge.

[Tool]
Got 1 row and 1 column:
| ?coordinates                |
| --------------------------- |
| POINT(-76.372222 38.991667) |

[Assistant]
The coordinates of the Chesapeake Bay Bridge are `POINT(-76.372222 38.991667)`. This gives us the precise location of the bridge.

However, it might also be useful to know the administrative region where the bridge is located. Let's check the `wdt:P131` property to find the administrative territorial entity.

I will execute a query to get the administrative location of the Chesapeake Bay Bridge.

[Tool]
Got 2 rows and 1 column:
| ?location                        |
| -------------------------------- |
| Anne Arundel County (wd:Q488701) |
| Queen Anne's County (wd:Q511150) |

[Assistant]
The Chesapeake Bay Bridge is located in two counties: Anne Arundel County (`wd:Q488701`) and Queen Anne's County (`wd:Q511150`), both in the U.S. state of Maryland.

Now, let's combine the information into a single SPARQL query that returns both the coordinates and the administrative locations of the Chesapeake Bay Bridge.

Here is the final SPARQL query:

```sparql
SELECT ?coordinates ?location WHERE {
  wd:Q1319988 wdt:P625 ?coordinates .
  OPTIONAL { wd:Q1319988 wdt:P131 ?location }
}
```

Executing this query will give us the complete information about the location of the Chesapeake Bay Bridge.

[Tool]
Got 2 rows and 2 columns:
| ?coordinates                | ?location                        |
| --------------------------- | -------------------------------- |
| POINT(-76.372222 38.991667) | Anne Arundel County (wd:Q488701) |
| POINT(-76.372222 38.991667) | Queen Anne's County (wd:Q511150) |

[Assistant]
The final SPARQL query has successfully returned the coordinates and the administrative locations of the Chesapeake Bay Bridge. The bridge is located at `POINT(-76.372222 38.991667)` and spans across two counties in Maryland: Anne Arundel County (`wd:Q488701`) and Queen Anne's County (`wd:Q511150`).

Here is the final SPARQL query and the answer to the user's question:

```sparql
SELECT ?coordinates ?location WHERE {
  wd:Q1319988 wdt:P625 ?coordinates .
  OPTIONAL { wd:Q1319988 wdt:P131 ?location }
}
```

The Chesapeake Bay Bridge is located at coordinates `POINT(-76.372222 38.991667)` and spans across Anne Arundel County and Queen Anne's County in Maryland.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?state WHERE {
  wd:Q734774 wdt:P131 ?city .
  ?city wdt:P131 ?state .
}

Missouri

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

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

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 state is saint louis university in?

[Assistant] To answer the question about the state where Saint Louis University is located, I need to identify the entity for Saint Louis University and then find the property that links it to its location. After identifying the location, I will need to determine the state it belongs to. Let's start by searching for Saint Louis University.

[Tool]
Top 10 entity alternatives:
1. Saint Louis University, also known as SLU, St. Louis University (wd:Q734774): private research university with campuses in St. Louis, Missouri, and Madrid, Spain
2. Saint Louis University, also known as SLU, St. Louis University (wd:Q7401676): university in Baguio, Philippines
3. Washington University in St. Louis, also known as WUSTL, WashU, Wash. U., Washington University in Saint Louis, Washington University (Saint Louis, Mo.) (wd:Q777403): private research university in St. Louis, Missouri, United States
4. Saint Louis Billikens, also known as Saint Louis University athletics (wd:Q7401655): athletic program of Saint Louis University
5. Saint Louis University Hospital, also known as Firmin Desloge Hospital, SLU Hospital (wd:Q7401677): hospital in Missouri, United States
6. Saint Louis University Bookstore (wd:Q99475974): bookshop in Saint Louis, MO, United States of America
7. Saint Louis University Madrid Campus (wd:Q4116998)
8. Maryville University, also known as Maryville College of the Sacred Heart, Maryville University of St. Louis, Maryville University of Saint Louis (wd:Q6781811): private university located in Missouri
9. University of Saint Louis Tuguegarao (wd:Q7896224): private university in the Philippines
10. Saint Louis University Law Journal (wd:Q15767443): journal

No other items found

[Assistant] The top result for "Saint Louis University" is `wd:Q734774`, which is the main campus of Saint Louis University located in St. Louis, Missouri. Now, I will find the property that links this university to its location. I expect this to be something like "located in" or "headquarters location."

[Tool]
Top 10 property alternatives:
1. 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 p/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
2. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
3. street address, also known as postal address, physical address, mailing address, located at street address, full address (wd:P6375 as p/wdt): full street address where subject is located. Include building n...t country; use also P669 if the street has its own separate item
4. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
6. MusicBrainz place ID, also known as MBP, place MBID, place ID, MusicBrainz location ID, MB place id (wd:P1004 as wdt/p/wdtn): Identifier for a place in the MusicBrainz open music encyclopedia
7. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as p/wdt): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
8. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)

No other items found

[Assistant]
The property `wdt:P131` (located in the administrative territorial entity) seems to be the most appropriate for finding the location of Saint Louis University. I will use this property to find the administrative territorial entity where Saint Louis University is located.

Let's execute a SPARQL query to find the location:

```sparql
SELECT ?location WHERE {
  wd:Q734774 wdt:P131 ?location .
}
```

This query will return the administrative territorial entity where Saint Louis University is located. If necessary, I will further refine the query to find the state.

[Tool]
Got 1 row and 1 column:
| ?location             |
| --------------------- |
| St. Louis (wd:Q38022) |

[Assistant]
The result shows that Saint Louis University is located in St. Louis, which is represented by `wd:Q38022`. Next, I need to determine the state where St. Louis is located. I will use the same property `wdt:P131` to find the higher-level administrative territorial entity (the state) that St. Louis is part of.

Let's execute another SPARQL query to find the state:

```sparql
SELECT ?state WHERE {
  wd:Q38022 wdt:P131 ?state .
}
```

This query will return the state where St. Louis is located.

[Tool]
Got 1 row and 1 column:
| ?state              |
| ------------------- |
| Missouri (wd:Q1581) |

[Assistant]
The result shows that St. Louis is located in Missouri, which is represented by `wd:Q1581`.

Therefore, Saint Louis University is located in the state of Missouri.

I will now provide the final SPARQL query and answer to the user's question.

```sparql
SELECT ?state WHERE {
  wd:Q734774 wdt:P131 ?city .
  ?city wdt:P131 ?state .
}
```

The answer to the question "What state is Saint Louis University in?" is Missouri.

[Tool] Stopped generation process