PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?stadium WHERE {
  wd:Q599903 wdt:P115 ?stadium .
}

The Irish national rugby union team plays their home matches 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-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.

### Step 1: Identify Entities and Properties
1. **Entity**: Ireland (country)
2. **Entity**: Rugby Union (sport)
3. **Property**: Home Stadium or Venue

### Step 2: Search for Entities
Let's start by searching for the entity "Ireland" and the sport "Rugby Union".

#### Search for "Ireland"

[Tool]
Top 10 entity alternatives:
1. Ireland, also known as Éire, Hibernia, Irish Republic, Republic of Ireland, Southern Ireland (wd:Q27): country in Northwestern Europe
2. Ireland, also known as Ireland (island), Irland, Irlanda, Erin, Irlande (wd:Q22890): island in the North Atlantic Ocean
3. Kingdom of Ireland, also known as Ireland (wd:Q215530): kingdom on the island of Ireland between 1542 and 1801
4. Bliss, also known as Ireland, Alentejo, Bliss.bmp (wd:Q2368): default computer wallpaper of Windows XP
5. Ireland, also known as Ireland, Bedfordshire (wd:Q1521115): hamlet in Bedfordshire, England
6. Ireland (wd:Q11256866): 2004 South Korean television series
7. Ireland, also known as Ireland, IN, Ireland, Indiana (wd:Q14688494): community in Indiana, United States
8. Ireland (wd:Q28199768): family name
9. Ireland in the Eurovision Song Contest 1965, also known as Ireland (wd:Q4203334): first participation
10. Ireland, also known as Ireland, West Virginia, Ireland, WV (wd:Q6068504): unincorporated community in Lewis County, West Virginia

[Assistant]
The correct entity for Ireland is `wd:Q27`, which refers to the country in Northwestern Europe.

#### Search for "Rugby Union"

[Tool]
Top 10 entity alternatives:
1. rugby union, also known as rugby (wd:Q5849): team sport, code of rugby football
2. Rugby union (wd:Q56655723)
3. Rugby union (wd:Q45115017): scientific article published in November 2002
4. Rugby Union, also known as Mr Edward Temple Gurdon (wd:Q106501434): Vanity Fair caricature of Mr Edward Temple Gurdon by STUFF
5. Rugby Union, also known as Mr George Rowland Hill (wd:Q106501400): Vanity Fair caricature of Mr George Rowland Hill by Spy
6. rugby sevens, also known as rugby union sevens, seven-a-side, sevens, VIIs (wd:Q270102): 7-a-side team sport, sub-code of rugby union
7. Wales national rugby union team, also known as Wales rugby union team, Wales rugby union, Wales Rugby, Wales national rugby, Wales national rugby union (wd:Q822877): Men’s rugby union team representing Wales
8. Japan national rugby union team, also known as Brave Blossoms, The Brave Blossoms rugby union team, The Brave Blossoms rugby union, The Brave Blossoms national rugby union team, The Brave Blossoms national rugby union (wd:Q1122433): rugby union team
9. Canada national rugby union team, also known as Canada national rugby union, Canada rugby union, Canada rugby union team (wd:Q774221): men's rugby union team
10. Namibia national rugby union team, also known as Namibia national rugby union, Welwitschias, Namibia rugby union team, Namibia rugby union (wd:Q1248558): men’s national rugby union team representing Namibia, national rugby union team representing Namibia

[Assistant]
The correct entity for Rugby Union is `wd:Q5849`.

### Step 3: Identify the Property for Home Stadium
We need to find the property that links a country or a sports team to their home stadium or venue.

#### Search for Properties Related to "Home Stadium" or "Venue"

[Tool]
Top 10 property alternatives:
1. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): home stadium or venue of a sports team or applicable performing arts organization, location
2. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): person or organization occupying property, used by
3. PlaymakerStats.com stadium ID, also known as www.playmakerstats.com/estadio.php?id=, https://www.playmakerstats.com/estadio.php?id=, playmakerstats.com/estadio.php?id= (wd:P10917 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): identifier for a association football (soccer) stadium in the PlayakerStats.com database
4. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): the place where the person is or has been, resident, location
5. supported sports team, also known as Fan of sports team, team supported, Supports sports team, Sports team supported, is a fan of team (wd:P6758 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): sports team for which a person or a group is a supporter
6. StadiumDB ID, also known as StadiumDB.com ID, StadiumDB.com identifier, StadiumDB identifier (wd:P5288 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): identifier for a stadium on StadiumDB.com
7. Soccerway venue ID, also known as Soccerway stadium ID (wd:P8775 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): identifier for an association football (soccer) venue in the Soccerway database
8. recorded at studio or venue, also known as venue, studio, recording venue, recording studio, recorded at event (wd:P483 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): studio or location where a musical composition/release was recorded, recording location
9. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
10. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): larger work that a given work was published in, like a book, journal or music album, part of

[Assistant]
The correct property for "home stadium" or "venue" is `wd:P115`.

### Step 4: Build the SPARQL Query
Now, we will build a SPARQL query to find the home stadium of the Irish national rugby union team.

#### Execute the SPARQL Query

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the query did not return any results. This might be because the property `wd:P115` is not directly linked to the country entity `wd:Q27`. Instead, it might be linked to the specific rugby union team of Ireland.

Let's search for the Irish national rugby union team and then try to find the home stadium.

#### Search for "Irish National Rugby Union Team"

[Tool]
Top 10 entity alternatives:
1. national rugby union team (wd:Q58840819): rugby union team that represents a country in international competitions
2. 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
3. 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
4. Wales national rugby union team, also known as Wales rugby union team, Wales rugby union, Wales Rugby, Wales national rugby, Wales national rugby union (wd:Q822877): Men’s rugby union team representing Wales
5. South Africa national rugby union team, also known as Springboks, South Africa rugby union team, South Africa national rugby union, SA rugby team, SA national rugby union team (wd:Q498478): national rugby union team representing South Africa
6. Australia national rugby union team, also known as Australia national rugby team, Australian national rugby union team, Australia Rugby, Australia rugby team, Australia rugby union team (wd:Q622443): national team representing Australia in rugby union
7. Argentina national rugby union team, also known as Los Pumas (wd:Q646070): national sports team
8. 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
9. Italy national rugby union team, also known as Italian rugby team, Italy rugby union team, Italy rugby team, Italy national rugby team, Italian rugby union team (wd:Q113135): Men’s rugby union team representing Italy
10. Georgia national rugby union team, also known as Georgia rugby takımı, Gürcistan milli rugby takımı (wd:Q609885): rugby union team

[Assistant]
The correct entity for the Irish national rugby union team is `wd:Q599903`.

### Step 5: Refine the SPARQL Query
Now, let's use the correct entity for the Irish national rugby union team and find the home stadium.

#### Execute the SPARQL Query

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

[Assistant]
The home stadium of the Irish national rugby union team is the Aviva Stadium.

### Final Answer
The Irish national rugby union team plays their home matches at the Aviva Stadium.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?team WHERE {
  wd:Q119562 wdt:P54 ?team .
}

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)                                  |

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.

I will use the `search_entity` function to find the entity for Aguero.

[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

[Assistant]
From the search results, the entity that corresponds to the football player Aguero is "Sergio Agüero" (wd:Q119562). Next, we need to find the 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 something like "plays for" or "team".

I will use the `search_property_of_entity` function to find the relevant property for Sergio Agüero.

[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 wdt/p): sports teams or clubs that the subject represents or represented, member of
2. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as wdt/p): position or specialism of a player on a team
3. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt/p): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
4. 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
5. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/p): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
6. 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
7. 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
8. participant, also known as suspect, player, party, participants, has participant (wd:P710 as wdt/p): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)

No other items found

[Assistant]
The property that indicates the team a player is associated with is "member of sports team" (wdt:P54). Now, let's construct a SPARQL query to find the teams that Sergio Agüero has played for.

I will execute the following SPARQL query:

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

This query will return the teams that Sergio Agüero has been a member of.

Let's execute the query.

[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. To provide a clear and concise answer, I will list the 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
- Atlético de Madrid

Now, I will format the final answer and provide the SPARQL query.

[Tool] Stopped generation process


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

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

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, we need to identify the relevant entity for Brazil and the property that indicates the official language.

First, let's search 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

[Assistant]
The correct entity for Brazil is `wd:Q155`, which represents the country in South America.

Next, we need to find the property that indicates the official language of a country. Let's search for properties related to "official language".

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): 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 pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): 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 pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): 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 pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): 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 pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): 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 pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): 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 pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): 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 pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): 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 pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): language in which the writer has written their work, languages spoken, written or signed

[Assistant]
The property `wd:P37` is the most appropriate for indicating the official language of a country.

Now, let's construct a SPARQL query to find the official language of Brazil (`wd:Q155`) using the property `wd:P37`.

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

Let's execute this query to get the result.

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

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

To provide a complete and clear answer, we can include the label of the language in the query. However, since the label is optional, we will use an `OPTIONAL` clause to fetch it.

Here is the final SPARQL query:

```sparql
SELECT ?language ?languageLabel WHERE {
  wd:Q155 wdt:P37 ?language .
  OPTIONAL { ?language rdfs:label ?languageLabel . FILTER(LANG(?languageLabel) = "en") }
}
```

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

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

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

Here is the final answer:

The official language of Brazil is Portuguese.

I will now provide the final SPARQL query and answer.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
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, we need to identify the entity for Morgantown, WV, and then look for a 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

[Assistant]
The top result for "Morgantown, WV" is `wd:Q653636`, which represents the city of Morgantown, West Virginia. Now, let's find the property that represents the zip code and see if it is associated with this entity.

I will search for properties related to "zip code" to find the appropriate property.

[Tool]
Top 10 property alternatives:
1. postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): 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 pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): identifier dedicated to subject city by the area communication network
3. country calling code, also known as calling code, country code, country dialing code, dialing code, phone code (wd:P474 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): identifier for a country - dialed on phone after the international dialing prefix (precede value by +)
4. location code (wd:P13262 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): an assigned code for the location (physical or virtual) within a given system (please use more specific property if available), catalog code
5. CDDA designationTypeCode, also known as designated area code, CDDA type ID, CDDA type, CDDA, CDDA code (wd:P9800 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): code for the national designation type used in the Common Database on Designated Areas inventory (CDDA)
6. Dictionary of Occupational Titles Code (fourth edition, revised), also known as DOT code (wd:P8679 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): occupation code from the Dictionary of Occupational Titles, fourth edition, revised
7. post office box, also known as PO Box, Post Office Box, P.O. Box, P. O. Box, P O Box (wd:P2918 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): post office box number, as part of an address
8. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
9. series ordinal, also known as ordinal, unit number, sort order, sorting order, series number (wd:P1545 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): position of an item in its parent series (most frequently a 1-ba...d from "ranking" defined as a property for evaluating a quality)
10. issue, also known as number, no., issue number (wd:P433 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): issue of a newspaper, a scientific journal or magazine for reference purpose

[Assistant]
The property `wd:P281` represents the postal code, which is what we need to find the zip code for Morgantown, WV. Now, let's check if this property is associated with the entity `wd:Q653636`.

I will execute a SPARQL query to retrieve the postal 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.

To provide a clear and concise answer, I will format the result and finalize the SPARQL query.

Here is the final SPARQL query and answer:

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

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

Now, I will provide the final answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
SELECT ?event ?year WHERE {
  ?event p:P1923 ?teamStatement .
  ?teamStatement ps:P1923 wd:Q203008 .
  ?event wdt:P31 wd:Q1143604 .
  OPTIONAL {
    ?event wdt:P585 ?year
  }
}

The specific information about when the LA Kings last won a playoff series is not available in the Wikidata knowledge graph in a structured format. The queries did not return any relevant results, and the data might be more detailed in other 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. Let's start by searching for the LA Kings entity.

### Step 1: Identify the LA Kings Entity
I will search for the LA Kings in the knowledge graph to get their IRI.

#### Function Call: Search for LA Kings Entity

[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 correct entity for the LA Kings is `wd:Q203008`, which represents the hockey team of the National Hockey League.

### Step 2: Identify Properties Related to Playoff Series Wins
Next, we need to find properties that might indicate when the LA Kings won playoff series. We can search for properties related to "playoff" or "win" for the LA Kings entity.

#### Function Call: Search for Properties Related to Playoff Series Wins

[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. 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. 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
6. 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
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. 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
9. 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
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]
The search did not yield any specific properties related to playoff wins for the LA Kings. However, we can try a different approach by looking for properties related to championships or titles, as winning a playoff series often leads to a championship.

### Step 3: Identify Properties Related to Championships or Titles
Let's search for properties related to championships or titles for the LA Kings entity.

#### Function Call: Search for Properties Related to Championships or Titles

[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. 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
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. 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
7. 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
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. 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
10. 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

No other items found

[Assistant]
The search for properties related to championships or titles did not yield any specific properties either. However, the property `award received` (`wd:P166`) might be useful, as it could include championships or titles.

### Step 4: Query for Awards Received by the LA Kings
Let's execute a SPARQL query to find the awards received by the LA Kings and their corresponding dates.

#### Function Call: Execute SPARQL Query for Awards Received by the LA Kings

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

[Assistant]
The query returned the Clarence S. Campbell Bowl as an award received by the LA Kings, but it did not provide a date. The Clarence S. Campbell Bowl is awarded to the Western Conference champions in the NHL playoffs. To get the specific years when the LA Kings won this award, we need to look for more detailed information.

### Step 5: Refine the Query to Include Specific Years
We can try to refine the query to include more detailed information about the years when the LA Kings won the Clarence S. Campbell Bowl or any other playoff series.

#### Function Call: Execute SPARQL Query for Specific Years of Awards Received by the LA Kings

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

[Assistant]
The refined query still did not return the specific years when the LA Kings won the Clarence S. Campbell Bowl. This suggests that the information might not be directly available in the form we are querying.

### Step 6: Search for Specific Playoff Series Wins
Since the direct approach did not yield the desired results, let's try a different approach by searching for specific playoff series wins. We can look for events or statements where the LA Kings won a playoff series.

#### Function Call: List Triples for the LA Kings with Property "participant in" or "league or competition"

[Tool]
Got 1 row and 3 columns:
| subject                        | property                         | object                               |
| ------------------------------ | -------------------------------- | ------------------------------------ |
| Los Angeles Kings (wd:Q203008) | league or competition (wdt:P118) | National Hockey League (wd:Q1215892) |

[Assistant]
The list of triples shows that the LA Kings participate in the National Hockey League (NHL). However, this does not provide information about specific playoff series wins.

### Step 7: Search for Specific Events or Statements
Let's try to find specific events or statements where the LA Kings won a playoff series. We can search for properties related to "playoff" or "series" and see if there are any relevant events.

#### Function Call: Search for Properties Related to Playoff Series

[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 pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): sports teams or clubs that the subject represents or represented, member of
2. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): series which contains the subject, part of
3. number of matches played/races/starts, also known as gp, starts, races, number of games played, mp (wd:P1350 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): matches or games a player or a team played during an event. Also...matches a player officially appeared in during the whole career.
4. number of wins, also known as games won, won, wins, W, sporting wins (wd:P1355 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): number of sporting matches, games or events won
5. collection, also known as editorial collection, series, repository, museum collection, held by (wd:P195 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): art, museum, archival, or bibliographic collection of which the subject is part, part of
6. sports discipline competed in, also known as sport discipline competed in, weight class competed in, sports event, sports disciplines competed in, sports discipline (wd:P2416 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): discipline an athlete competed in within a sport, field of work
7. participating team, also known as teams (wd:P1923 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): like 'Participant' (P710) but for teams. For an event like a cyc...member of sports team' (P54) as a qualifier for the individuals), participant
8. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): league or competition in which team or player has played, or in which an event occurs, participant in
9. number of losses, also known as defeats, games lost, L, losses, lost (wd:P1356 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): number of sporting matches, games or events lost
10. sports league level, also known as league level, sport league level, level on sport league pyramid, level on league pyramid, level on pyramid (wd:P3983 as pqn/ps/pq/prn/psv/wdt/pr/pqv/p/prv/psn/wdtn): the level of the sport league in the sport league system

[Assistant]
The search for properties related to "playoff series" did not yield any specific properties that directly indicate when the LA Kings won a playoff series. However, we can try to find specific events or statements where the LA Kings won a playoff series by looking at the properties `number of wins` (`wd:P1355`) and `participating team` (`wd:P1923`).

### Step 8: Query for Specific Playoff Series Wins Using Number of Wins
Let's execute a SPARQL query to find specific playoff series wins by the LA Kings using the `number of wins` property.

#### Function Call: Execute SPARQL Query for Specific Playoff Series Wins Using Number of Wins

[Tool] Got no rows and 2 columns

[Assistant]
The query did not return any results, indicating that the specific information about playoff series wins by the LA Kings might not be structured in the way we are querying.

### Step 9: Search for Specific Events or Statements Using Participating Team
Let's try another approach by searching for specific events where the LA Kings were a participating team and then check if there is any indication of a win.

#### Function Call: Execute SPARQL Query for Specific Events Where LA Kings Were a Participating Team

[Tool]
Got 3 rows and 2 columns:
| ?event                              | ?year |
| ----------------------------------- | ----- |
| Kings–Sharks rivalry (wd:Q48791785) |       |
| Freeway Face-Off (wd:Q5501242)      |       |
| Frozen Fury (wd:Q5506291)           |       |

[Assistant]
The query returned three events where the LA Kings were a participating team, but it did not provide specific years or indications of wins. These events are rivalries or specific series, but we need to find out if they include playoff series wins.

### Step 10: Refine the Query to Include Specific Playoff Series Wins
Let's refine the query to specifically look for playoff series wins by the LA Kings. We can try to find events where the LA Kings were a participating team and the event is labeled as a playoff series.

#### Function Call: Execute SPARQL Query for Specific Playoff Series Wins by the LA Kings

[Tool] Got no rows and 2 columns

[Assistant]
The query did not return any results, indicating that the specific information about playoff series wins by the LA Kings might not be structured in the way we are querying. It seems that the data for specific playoff series wins might not be available in the Wikidata knowledge graph in a straightforward manner.

### Conclusion
Given the lack of specific data in the knowledge graph, we cannot provide a precise answer to the question "When was the last time the LA Kings won a playoff series?" using the available SPARQL queries. The information might be more detailed in other sources such as sports databases or news articles.

#### Final Answer: Cancel with Explanation

I will cancel the generation process and provide an explanation.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?occupation WHERE {
  wd:Q651203 wdt:P106 ?occupation
}

George Wilson is a basketball player.

[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, we need to identify the correct entity for George Wilson and then find the property that represents his occupation or job.

[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 narrow down the correct one, we need more context. However, since the question does not provide additional details, let's start with the most common or prominent ones and check their occupations.

I will first check the occupation of the top result, Ajita Wilson (George Wilson).

[Tool]
Got 2 rows and 3 columns:
| subject                   | property              | object                          |
| ------------------------- | --------------------- | ------------------------------- |
| Ajita Wilson (wd:Q164526) | occupation (wdt:P106) | actor (wd:Q33999)               |
| Ajita Wilson (wd:Q164526) | occupation (wdt:P106) | pornographic actor (wd:Q488111) |

[Assistant] Ajita Wilson, also known as George Wilson, is an American actress and pornographic actor. However, this might not be the George Wilson the user is referring to. Let's check the next most prominent George Wilson, who is a basketball player.

[Tool]
Got 1 row and 3 columns:
| subject                    | property              | object                          |
| -------------------------- | --------------------- | ------------------------------- |
| George Wilson (wd:Q651203) | occupation (wdt:P106) | basketball player (wd:Q3665646) |

[Assistant]
George Wilson (wd:Q651203) is a basketball player. If this is not the George Wilson the user is referring to, we can continue checking the other options. However, let's see if the user has any additional context to help us identify the correct George Wilson.

For now, I will provide the answer based on the basketball player George Wilson.

If this is not the correct George Wilson, please provide more context or specify which George Wilson you are referring to.

[Tool] Stopped generation process


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

The Chesapeake Bay Bridge is located at the coordinates POINT(-76.372222 38.991667).

[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 find the location of the Chesapeake Bay Bridge, we need to identify the entity representing the Chesapeake Bay Bridge in the knowledge graph and then look for its location property.

### Step 1: Identify the Entity for Chesapeake Bay Bridge
First, let's search for the entity representing the 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

[Assistant]
The top result for the Chesapeake Bay Bridge is `wd:Q1319988`. Let's use this entity to find its location.

### Step 2: Identify the Location Property
We need to find the property that represents the location of the bridge. A common property for location in Wikidata is `P625` (coordinate location).

Let's check if the Chesapeake Bay Bridge has a coordinate location property.

### Step 3: Execute the SPARQL Query
We will write a SPARQL query to retrieve the coordinate location of the Chesapeake Bay Bridge.

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

Let's execute this query to get the location.

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

[Assistant]
The location of the Chesapeake Bay Bridge is given by the coordinates `POINT(-76.372222 38.991667)`.

### Final Answer
The Chesapeake Bay Bridge is located at the coordinates `POINT(-76.372222 38.991667)`.

Let's provide the final answer with the SPARQL query.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?state ?stateLabel WHERE {
  wd:Q734774 wdt:P131 ?city .
  ?city wdt:P131 ?state .
  OPTIONAL {
    ?state rdfs:label ?stateLabel .
    FILTER ( LANG( ?stateLabel ) = "en" )
  }
}

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, we need to identify the entity for Saint Louis University and then find the property that indicates its location. We can start by searching for the entity "Saint Louis University" in the knowledge graph.

Let's search for the entity "Saint Louis University" in Wikidata.

[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

[Assistant]
From the search results, the correct entity for Saint Louis University in St. Louis, Missouri, is `wd:Q734774`.

Next, we need to find the property that indicates the location of the university. We can search for properties related to "location" or "state" for this entity.

Let's search for properties related to "location" for the entity `wd:Q734774`.

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. 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/p): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
3. street address, also known as postal address, physical address, mailing address, located at street address, full address (wd:P6375 as wdt/p): full street address where subject is located. Include building n...t country; use also P669 if the street has its own separate item
4. 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
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. MusicBrainz place ID, also known as MBP, place MBID, place ID, MusicBrainz location ID, MB place id (wd:P1004 as wdtn/wdt/p): Identifier for a place in the MusicBrainz open music encyclopedia
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as wdt/p): name of the Reddit forum associated to this subject
9. employees, also known as workers, staff, personnel, number of employees, employee count (wd:P1128 as wdt/p): total number of employees of a company at a given "point in time...not deprecated rank). Add data for recent years, don't overwrite
10. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of

No other items found

[Assistant]
From the search results, the property `wdt:P131` (located in the administrative territorial entity) seems to be the most appropriate for finding the state where Saint Louis University is located.

Let's execute a SPARQL query to find the state where Saint Louis University (`wd:Q734774`) is located.

```sparql
SELECT ?state ?stateLabel
WHERE {
  wd:Q734774 wdt:P131 ?state .
  OPTIONAL { ?state rdfs:label ?stateLabel . FILTER(LANG(?stateLabel) = "en") }
}
```

This query will return the state and its label (if available).

Let's execute this query.

[Tool]
Got 1 row and 2 columns:
| ?state                | ?stateLabel |
| --------------------- | ----------- |
| St. Louis (wd:Q38022) | St. Louis   |

[Assistant]
The query returned that Saint Louis University is located in St. Louis. However, St. Louis itself is a city, and we need to find the state where St. Louis is located. To do this, we can use the same property `wdt:P131` to find the state that St. Louis is located in.

Let's execute another SPARQL query to find the state where St. Louis is located.

```sparql
SELECT ?state ?stateLabel
WHERE {
  wd:Q38022 wdt:P131 ?state .
  OPTIONAL { ?state rdfs:label ?stateLabel . FILTER(LANG(?stateLabel) = "en") }
}
```

This query will return the state and its label (if available).

Let's execute this query.

[Tool]
Got 1 row and 2 columns:
| ?state              | ?stateLabel |
| ------------------- | ----------- |
| Missouri (wd:Q1581) | Missouri    |

[Assistant]
The query returned that St. Louis is located in Missouri. Therefore, Saint Louis University is located in the state of Missouri.

Here is the final SPARQL query and the answer to the question:

```sparql
SELECT ?state ?stateLabel
WHERE {
  wd:Q734774 wdt:P131 ?city .
  ?city wdt:P131 ?state .
  OPTIONAL { ?state rdfs:label ?stateLabel . FILTER(LANG(?stateLabel) = "en") }
}
```

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

Let's provide the final answer.

[Tool] Stopped generation process