PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?venue ?venueLabel WHERE {
  wd:Q221878 wdt:P115 ?venue .
  OPTIONAL {
    ?venue rdfs:label ?venueLabel FILTER ( LANG( ?venueLabel ) = "en" )
  }
}

The Seattle Seahawks play at Lumen Field.

[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 the seattle seahawks play?

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

[Tool]
Example 1:
Question:
who is the senator of the state of texas?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x p:P39 ?p .
  ?p ps:P39 wd:Q4416090 .
  ?p pq:P768 ?y .
  ?y wdt:P131 wd:Q1439 .
  FILTER NOT EXISTS {
    ?p pq:P582 ?z .
  }
}

Using entities:
Texas, also known as Lone Star State, US-TX, TX, Texas, United States, Tex. (wd:Q1439): state of the United States of America
United States senator, also known as U.S. senator, US senator (wd:Q4416090): member of the United States Senate

Using properties:
located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
position held, also known as function, held position, holds position, job, office held (wd:P39 as p/ps): subject currently or formerly holds the object position or public office
end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as pq): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
electoral district, also known as riding, seat, ward, electoral area, electorate (wd:P768 as pq): electoral district this person is representing, or of the office... or "office contested" (P541) or "candidacy in election" (P3602)

Example 2:
Question:
what language do people speak in brazil wikipedia?

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

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

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

Example 3:
Question:
what channel does anderson cooper come on?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q316997 p:P108 ?p .
  ?p ps:P108 ?x .
  ?x wdt:P31 / wdt:P279 * wd:Q1616075 .
}

Using entities:
television station, also known as TV station (wd:Q1616075): organization that transmits content on television
Anderson Cooper, also known as Anderson Hays Cooper (wd:Q316997): American journalist (born 1967), television presenter, journalist, writer, model, actor

Using properties:
employer, also known as working at, working for, working place, works at, works for (wd:P108 as p/ps): person or organization for which the subject works or worked, affiliation
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant]
From the examples, we see that to find where a sports team plays, we need to identify the entity for the team and then find the property that relates the team to its home venue or stadium.

Step 1: Search for the entity "Seattle Seahawks" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Seattle Seahawks (wd:Q221878): American football team
2. Seattle Seahawks (wd:Q1431833): ice hockey team
3. history of the Seattle Seahawks, also known as Seattle Seahawks history, the Seattle Seahawks history (wd:Q3973903): aspect of history
4. 2021 Seattle Seahawks season (wd:Q104869618): 46th season in franchise history
5. 2022 Seattle Seahawks season (wd:Q110445415): 47th season in franchise history
6. 2023 Seattle Seahawks season (wd:Q116170066): 48th season in franchise history
7. 2020 Seattle Seahawks season (wd:Q81002024): 45th season in franchise history
8. 2018 Seattle Seahawks season (wd:Q47191924): 43rd season in franchise history; final one under ownership of Paul Allen
9. 2015 Seattle Seahawks season (wd:Q19255692): 40th season in franchise history
10. 2024 Seattle Seahawks season (wd:Q124167235): 49th season in franchise history

[Assistant] The entity "Seattle Seahawks" as an American football team is wd:Q221878. Next, I will search for properties of this entity that might indicate where they play, such as home stadium or home venue.

[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. 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. 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. 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
6. 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
7. 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
8. Flashscore.com team ID, also known as flashscore.com/team/, FlashScore.com team ID, https://www.flashscore.com/team/, www.flashscore.com/team/ (wd:P7876 as p/wdt): identifier for a sports team in the FlashScore.com database
9. 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
10. 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

No other items found

[Assistant] The property "home venue" (wdt:P115) is the appropriate property to find where the Seattle Seahawks play. Now I will write a SPARQL query to get the home venue of the Seattle Seahawks (wd:Q221878).

[Tool]
Got 1 row and 2 columns:
| venue                    | venueLabel       |
| ------------------------ | ---------------- |
| Lumen Field (wd:Q612736) | Lumen Field (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the home venue of the Seattle Seahawks using the property wdt:P115. The query returns the identifier and English label of the venue, which is Lumen Field. The answer provided is accurate and complete based on the query result. No further refinement is necessary.


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 ?timezone ?timezoneLabel WHERE {
  wd:Q16568 wdt:P421 ?timezone .
  OPTIONAL {
    ?timezone rdfs:label ?timezoneLabel FILTER ( LANG( ?timezoneLabel ) = "en" )
  }
}

The timezone of Jacksonville, Florida is Eastern Daylight Time.

[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 jacksonville fl timezone?

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

[Tool]
Example 1:
Question:
what system of government does nigeria have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q1033 wdt:P122 ?x .
}

Using entities:
Nigeria, also known as Federal Republic of Nigeria, FRN, Naija, NG, NGA (wd:Q1033): sovereign state in West Africa

Using properties:
basic form of government, also known as form of government, government, type of government (wd:P122 as wdt): subject's government

Example 2:
Question:
who was emperor diocletian?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q43107 wdt:P800 ?x .
}

Using entities:
Diocletian, also known as Marcus Aurelius Gaius Valerius Diocletianus, Gaius Aurelius Valerius Diocletianus, Diocletianus, Caius Aurelius Valerius Diocletianus (wd:Q43107): Augustus of the Eastern Roman Empire (244-311), politician, monarch

Using properties:
notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdt): notable scientific, artistic or literary work, or other work of significance among subject's works

Example 3:
Question:
which province in canada is the most populated?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P31 wd:Q11828004 ; wdt:P1082 ?y .
}
ORDER BY DESC ( ?y )
LIMIT 1

Using entities:
province of Canada, also known as province in Canada (wd:Q11828004): type of administrative division of Canada

Using properties:
population, also known as inhabitants, human population (wd:P1082 as wdt): number of people inhabiting the place; number of people of subject
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant]
The question is about the timezone of Jacksonville, FL. Jacksonville is a city in Florida, USA. We need to find the entity for Jacksonville, Florida in Wikidata and then find the property related to timezone for that entity.

Step 1: Search for the entity "Jacksonville, Florida" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Jacksonville, also known as Jacksonville, FL, Jacksonville, Florida (wd:Q16568): city in Duval County, Florida, United States
2. Jacksonville Beach, also known as Jacksonville Beach, FL, Jacksonville Beach, Florida (wd:Q988928): city in Duval County, Florida, United States
3. Ortega, also known as Ortega, Jacksonville, Florida (wd:Q7104308): neighborhood of Jacksonville, Florida, US
4. San Marco, also known as San Marco, Florida, South Jacksonville, Florida (wd:Q14686391): former city of South Jacksonville, Florida, United States; neighborhood of Jacksonville
5. Bayard, also known as Bayard, Jacksonville, Florida (wd:Q4874329): human settlement in Jacksonville, Florida, United States of America
6. history of Jacksonville, Florida, also known as Jacksonville, Florida history (wd:Q17022720): aspect of history
7. education in Jacksonville, Florida, also known as education of Jacksonville, Florida, Jacksonville, Florida education (wd:Q5341043): Overview of education in Jacksonville, Florida
8. Northside, also known as North Jacksonville, Florida, Northside (Jacksonville), Northside Jacksonville, Northside, Jacksonville, North Jacksonville (wd:Q85778622): region of Jacksonville, Florida, United States
9. Jacksonville Heights, also known as Jacksonville Heights, FL, Jacksonville Heights, Florida (wd:Q122594337): hamlet in Duval County, Florida, United States
10. Jacksonville, Florida Auditions (wd:Q114464461): episode of American Idol (S8 E5)

[Assistant] I found the entity for Jacksonville, Florida: wd:Q16568. Now, I will search for the property related to timezone for this entity.

[Tool]
Top 10 property alternatives:
1. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
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. 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
4. flag, also known as flag description (wd:P163 as p/wdt): subject's flag
5. 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
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. 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
8. 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
9. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
10. FAST ID, also known as Faceted Application of Subject Terminology ID, FAST subject heading, fst, worldcat.org/fast (wd:P2163 as wdt/p/wdtn): authority control identifier in WorldCat's “FAST Linked Data” authority file

No other items found

[Assistant] The property "located in time zone" (wdt:P421) is the relevant property for the timezone of Jacksonville, Florida. Now I will write a SPARQL query to get the timezone of Jacksonville, Florida using this property.

[Tool]
Got 1 row and 2 columns:
| timezone                             | timezoneLabel              |
| ------------------------------------ | -------------------------- |
| Eastern Daylight Time (wd:Q15080196) | Eastern Daylight Time (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the timezone of Jacksonville, Florida using the property 'located in time zone' (wdt:P421). The query returns the timezone entity and its English label, which is 'Eastern Daylight Time'. The answer is accurate and complete for the user's question. No further refinement is necessary.


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 ?formOfGovernment ?formOfGovernmentLabel WHERE {
  wd:Q145 wdt:P122 ?formOfGovernment .
  OPTIONAL {
    ?formOfGovernment rdfs:label ?formOfGovernmentLabel FILTER ( LANG( ?formOfGovernmentLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| formOfGovernment                    | formOfGovernmentLabel        |
| ----------------------------------- | ---------------------------- |
| constitutional monarchy (wd:Q41614) | constitutional monarchy (en) |

The form of government of the United Kingdom is constitutional monarchy.

[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 form of government is the uk?

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

[Tool]
Example 1:
Question:
what currency should you take to thailand?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q869 wdt:P38 ?x .
}

Using entities:
Thailand, also known as Land of Smiles, THA, th, Siam, Kingdom of Thailand (wd:Q869): country in Southeast Asia

Using properties:
currency, also known as base currency, used money (wd:P38 as wdt): currency used by item, uses

Example 2:
Question:
what has ian somerhalder played in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P161 wd:Q130447 ; wdt:P31 / wdt:P279 * wd:Q11424 .
}

Using entities:
film, also known as cinematic work, moving picture, movie, motion pictures, motion picture (wd:Q11424): sequence of images that give the impression of movement, stored on film stock
Ian Somerhalder (wd:Q130447): American director and actor, executive producer, television actor, businessperson, philanthropist, film producer, stage actor, film actor, director, actor, model

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as wdt): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
what tv show did joey lawrence play on?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P161 wd:Q550395 ; wdt:P31 / wdt:P279 * wd:Q5398426 .
}

Using entities:
television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
Joey Lawrence (wd:Q550395): American actor, singer and songwriter, television producer, singer-songwriter, television actor, stage actor, voice actor, film actor, musician, composer

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as wdt): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant]
The examples show how to query for specific properties of entities. In this case, we want to find the form of government of the United Kingdom. The United Kingdom is an entity, and "form of government" is a property we need to identify.

Next, I will search for the entity "United Kingdom" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. United Kingdom, also known as U.K., UK, U. K., U K, United Kingdom of Great Britain and Northern Ireland (wd:Q145): country in north-west Europe
2. United Kingdom, also known as U K, The United Kingdom of Great Britain and Northern Ireland, The UK, U. K., Great Britain and Northern Ireland (wd:Q145): country in north-west Europe
3. United Kingdom of Great Britain and Ireland, also known as Great Britain and Ireland, UK, UKGBI, United Kingdom (wd:Q174193): historical sovereign state (1801–1922)
4. A United Kingdom, also known as United Kingdom (wd:Q21528200): 2016 film by Amma Asante
5. United Kingdom in the Eurovision Song Contest 2010, also known as United Kingdom (wd:Q974636)
6. United Kingdom (wd:Q108280869): 1989 studio album by American Music Club
7. Pedlars Act 1871, also known as Pedlars Act 1881, United Kingdom, (wd:Q55629342): 1871 United Kingdom of Great Britain and Ireland Act of Parliament 34 & 35 Vic c. 96
8. United Kingdom (wd:Q110577800): Manny Montes's single
9. United Kingdom (wd:Q7887906): album by Manny Montes
10. United Kingdom (wd:Q96412324)

[Assistant] The entity for the United Kingdom as a country in north-west Europe is wd:Q145. Now I will search for properties related to the form of government for this entity. I will search for properties with the query "form of government" for the entity wd:Q145.

[Tool]
Top 10 property alternatives:
1. basic form of government, also known as form of government, government, type of government (wd:P122 as p/wdt): subject's government
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as p/wdt): seat of government of a country, province, state or other type of administrative territorial entity
3. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as p/wdt): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
4. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as p/wdt): political office that is fulfilled by the head of the government of this item
5. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as p/wdt): political office that is fulfilled by the head of state of this item
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. legislative body, also known as aboriginal council, Zila, Tehsil, rural council, representative body (wd:P194 as p/wdt): legislative body governing this entity; political institution wi...ted representatives, such as a parliament/legislature or council
8. diplomatic relation, also known as political relation, political relations, foreign relations, foreign relation, diplomatic relations (wd:P530 as p/wdt): diplomatic relations of the country
9. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as p/wdt): official with the highest formal authority in a country/state, director / manager, chairperson
10. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as p/wdt): (list of) direct subdivisions of an administrative territorial entity, has part(s)

No other items found

[Assistant] The property "basic form of government" (wdt:P122) is the relevant property for the form of government of the United Kingdom. Now I will write a SPARQL query to get the form of government of the United Kingdom (wd:Q145) using this property.

[Tool]
Got 1 row and 2 columns:
| formOfGovernment                    | formOfGovernmentLabel        |
| ----------------------------------- | ---------------------------- |
| constitutional monarchy (wd:Q41614) | constitutional monarchy (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the form of government of the United Kingdom using the property 'basic form of government' (wdt:P122). The query returns the identifier and the English label of the form of government, which is 'constitutional monarchy'. The answer is accurate and complete, and the query follows the rules by returning the actual identifier and an optional label. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?language ?languageLabel WHERE {
  VALUES ?country {
    wd:Q213
  }
  {
    ?country wdt:P37 ?language .
  } UNION {
    ?country wdt:P2936 ?language .
  }
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Got 5 rows and 2 columns:
| language                          | languageLabel            |
| --------------------------------- | ------------------------ |
| German (wd:Q188)                  | German (en)              |
| Carpathian Romani (wd:Q5045611)   | Carpathian Romani (en)   |
| Czech Sign Language (wd:Q5201809) | Czech Sign Language (en) |
| Polish (wd:Q809)                  | Polish (en)              |
| Czech (wd:Q9056)                  | Czech (en)               |

The languages spoken in the Czech Republic include Czech, German, Carpathian Romani, Czech Sign Language, and Polish.

[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 spoken in czech republic?

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

[Tool]
Example 1:
Question:
where is the university of west alabama located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q637346 wdt:P131 ?x .
}

Using entities:
University of West Alabama, also known as West Alamaba University, uwa.edu, Livingston Female Academy, UWA (wd:Q637346): public university in Livingston, Alabama, United States

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

Example 2:
Question:
what time zone is fresno ca?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q43301 wdt:P421 ?x .
}

Using entities:
Fresno, also known as Fresno, CA, Fresno, California (wd:Q43301): county seat of Fresno County, California, United States

Using properties:
located in time zone, also known as TZ, time zone, timezone (wd:P421 as wdt): time zone for this item

Example 3:
Question:
what time zone is maryville tn?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?p wdt:P150 wd:Q1094500 ; wdt:P421 ?x .
}

Using entities:
Maryville, also known as Maryville, Tennessee, Maryville, TN (wd:Q1094500): city in Tennessee, USA

Using properties:
contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as wdt): (list of) direct subdivisions of an administrative territorial entity, has part(s)
located in time zone, also known as TZ, time zone, timezone (wd:P421 as wdt): time zone for this item

[Assistant]
The question is "what is spoken in Czech Republic?" which refers to the language(s) spoken in the country Czech Republic.

Step 1: Identify the entity for "Czech Republic".
Step 2: Identify the property related to "language spoken" or "official language" or "languages spoken" for a country.
Step 3: Query the language(s) spoken in Czech Republic.

I will start by searching for the entity "Czech Republic" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Czech Republic, also known as CZR, CZE, Czechia, CZ (wd:Q213): country in Central Europe
2. Czech Republic, also known as CZ, CZE, CZR, Czechia (wd:Q213): country in Central Europe
3. Czech Republic (wd:Q3496079): member state of the Czech and Slovak Federal Republic (1990–1992)
4. Czech Republic (wd:Q5201764): constituency of the European Parliament
5. Czech Republic, also known as Star Trek Czech Republic (wd:Q99288382): the country of the Czech Republic as depicted in Star Trek
6. CZECH REPUBLIC (wd:Q60164570)
7. Czech Republic (wd:Q59760445): scholarly article by LUKAS LINEK & ZDENKA MANSFELDOVA published December 2004 in European Journal of Political Research
8. Czech Republic (wd:Q59212257): scholarly article by Aleš Kudrnáč et al published December 2016 in European Journal of Political Research Political Data Yearbook
9. Czech Republic (wd:Q59212246): scholarly article by IVAN PETÚŠEK & ALEŠ KUDRNÁČ published 5 Jul...n European Journal of Political Research Political Data Yearbook
10. Czech Republic (wd:Q57542866): scholarly article

[Assistant] The entity for Czech Republic is wd:Q213. Now I will search for properties related to languages spoken or official languages for this entity. I will search for properties of the entity Czech Republic with the query "language".

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt): language designated as official by this item, language used
2. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as p/wdt): language widely used (spoken or written) in this place or at this event or organisation
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
5. culture, also known as archaeological culture, civilisation, civilization (wd:P2596 as p/wdt): human culture or people (or several cultures) associated with this item, part of
6. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
7. 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
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
9. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as p/wdt): religion of a person, organization or religious building, or associated with this subject
10. Unicode character, also known as emoji, emote, pictograph, Unicode symbol (wd:P487 as p/wdt): Unicode character representing the item (only if this is not a c...acter or a compatiblity character: in that case, use only P4213)

No other items found

[Assistant]
The relevant properties for languages spoken in Czech Republic are:
- official language (wdt:P37)
- language used (wdt:P2936)

I will now write a SPARQL query to get the official language(s) and languages used in Czech Republic (wd:Q213).

[Tool]
Got 5 rows and 2 columns:
| language                          | languageLabel            |
| --------------------------------- | ------------------------ |
| German (wd:Q188)                  | German (en)              |
| Carpathian Romani (wd:Q5045611)   | Carpathian Romani (en)   |
| Czech Sign Language (wd:Q5201809) | Czech Sign Language (en) |
| Polish (wd:Q809)                  | Polish (en)              |
| Czech (wd:Q9056)                  | Czech (en)               |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves languages spoken in the Czech Republic by combining both official languages (wdt:P37) and languages widely used (wdt:P2936). The query returns the expected languages including Czech, German, Carpathian Romani, Czech Sign Language, and Polish, which matches the answer provided. The query also includes English labels for readability. The approach and results are appropriate and complete for the user's question.


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 ?superbowl ?superbowlLabel ?year WHERE {
  ?superbowl wdt:P31 wd:Q32096 ; wdt:P1346 wd:Q276539 ; wdt:P585 ?year .
  OPTIONAL {
    ?superbowl rdfs:label ?superbowlLabel FILTER ( LANG( ?superbowlLabel ) = "en" )
  }
}
ORDER BY ?year

The Baltimore Ravens won the Super Bowl in the years 2001 and 2013.

[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 year did the baltimore ravens win superbowl?

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

[Tool]
Example 1:
Question:
where did jack johnson go to high school?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q297097 wdt:P69 ?x .
  ?x wdt:P31 / wdt:P279 * wd:Q9826 .
}

Using entities:
Jack Johnson, also known as Jack Hody Johnson (wd:Q297097): American singer-songwriter, singer-songwriter, recording artist, record producer, film director, manufacturer, guitarist, composer, singer, surfer
high school, also known as H.S., upper middle school, senior high school, HS (wd:Q9826): institution which provides all or part of secondary education

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt): educational institution attended by subject, affiliation

Example 2:
Question:
what team did joe hart play for before man city?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q187184 p:P54 ?p .
  ?p ps:P54 ?x ; pq:P582 ?y .
  wd:Q10520 p:P54 ?q .
  ?q ps:P54 wd:Q50602 ; pq:P580 ?z .
  FILTER ( ?y < ?z )
}

Using entities:
David Beckham, also known as Becks, Beckham (wd:Q10520): English association football player, association football player, sports executive, businessperson, entrepreneur, blogger, actor, model
Joe Hart, also known as Charles Joseph John Hart (wd:Q187184): English association football player, association football player, cricketer
Manchester City F.C., also known as The Sky Blues, City, The Citizens, The Blues, Sky Blues (wd:Q50602): association football club in Manchester, England

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

Example 3:
Question:
where tupac grew up?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q6107 wdt:P19 ?x .
}

Using entities:
Tupac Shakur, also known as Tupac, Tupac Amaru Shakur, Makaveli, Tupac Omar Shakur, Lesane Crooks (wd:Q6107): American rapper (1971–1996), television actor, songwriter, film actor, lyricist, activist, writer, singer, rapper, actor, poet

Using properties:
place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt): most specific known birth location of a person, animal or fictional character, location

[Assistant]
The question is about the year the Baltimore Ravens won the Super Bowl. First, I need to identify the entity for "Baltimore Ravens" and the property related to "winning the Super Bowl" or "Super Bowl champion." Then I will query the year(s) they won the Super Bowl.

I will start by searching for the entity "Baltimore Ravens" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Baltimore Ravens (wd:Q276539): National Football League franchise in Baltimore, Maryland
2. history of the Baltimore Ravens, also known as the Baltimore Ravens history, Baltimore Ravens history (wd:Q16995510): aspect of history
3. Baltimore Ravens Cheerleaders (wd:Q4852915): NFL cheerleading squad
4. Baltimore Ravens awards (wd:Q97358836)
5. 2021 Baltimore Ravens season (wd:Q104869586): 26th season in franchise history
6. 2023 Baltimore Ravens season (wd:Q116170173): 28th season in franchise history
7. 2022 Baltimore Ravens season (wd:Q110445353): 27th season in franchise history
8. 2019 Baltimore Ravens season (wd:Q60525815): Ravens record would be 4-12?
9. 2018 Baltimore Ravens season (wd:Q47454104): 23rd season in franchise history
10. 2020 Baltimore Ravens season (wd:Q80964250): 25th season in franchise history

[Assistant] The entity for Baltimore Ravens is wd:Q276539. Now I will search for properties related to winning the Super Bowl or being a Super Bowl champion for this entity. I will search for properties of the Baltimore Ravens entity with the query "Super Bowl".

[Tool]
Top 10 property alternatives:
1. 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
2. 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
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. 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
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. 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
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. 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
9. FAST ID, also known as Faceted Application of Subject Terminology ID, FAST subject heading, fst, worldcat.org/fast (wd:P2163 as wdt/p/wdtn): authority control identifier in WorldCat's “FAST Linked Data” authority file
10. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))

No other items found

[Assistant] No direct property related to winning the Super Bowl was found for the Baltimore Ravens entity. I will try a different approach: I will search for the entity "Super Bowl" to find how the Super Bowl winners are represented in Wikidata. Then I will check if Baltimore Ravens is listed as a winner for any Super Bowl.

[Tool]
Top 10 entity alternatives:
1. Super Bowl, also known as AFL–NFL World Championship Game (wd:Q32096): National Football League championship game
2. Super Bowl (wd:Q121409161): 2023 single by Stray Kids
3. Super Bowl (wd:Q104642171): American horse
4. Super Bowl, also known as xkcd 60 (wd:Q18612009): 60th strip of the webcomic xkcd
5. Super Bowl, also known as xkcd 1480 (wd:Q20671274): 1480th strip of the webcomic xkcd
6. Super Bowl (wd:Q51263859): episode of Aqua Teen Hunger Force (S2 E3)
7. Super Bowl (wd:Q51159462): episode of Everybody Loves Raymond (S5 E13)
8. Super Bowl (wd:Q114548781): episode of Nurses (S2 E16)
9. Super Bowl 50, also known as 2016 Super Bowl, Super Bowl 2016, Super Bowl L (wd:Q7642193): 2016 edition of the Super Bowl
10. Super Bowl LII, also known as 2018 Super Bowl, Super Bowl 2018, Super Bowl 52 (wd:Q15633579): 2018 edition of the Super Bowl

[Assistant] The main entity for the Super Bowl is wd:Q32096. I will now check how the winners of the Super Bowl are represented. I will look for properties of the Super Bowl entity with the query "winner".

[Tool]
Top 10 property alternatives:
1. 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
2. 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)
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. 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
6. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as p/wdt): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
7. 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
8. X (Twitter) username, also known as twitter.com/, X username, X handle, x.com/, X account (wd:P2002 as p/wdt): username on X (formerly Twitter); do not include the '@' symbol, website username or ID
9. 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
10. 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)

No other items found

[Assistant] No direct property "winner" found for the Super Bowl entity. I will try to find the property used for "winner" or "champion" in the context of sports events in general. I will search for properties with the query "winner".

[Tool]
Top 10 property alternatives:
1. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as ps/psv/wdtn/pr/p/wdt/pqv/prn/prv/pqn/pq/psn): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
2. competition won, also known as won event, won, winner of, victory (wd:P2522 as ps/psv/wdtn/pr/p/wdt/pqv/prn/prv/pqn/pq/psn): competition or sports event won by the subject, participant in
3. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as ps/psv/wdtn/pr/p/wdt/pqv/prn/prv/pqn/pq/psn): award or recognition received by a person, organization or creative work
4. number of wins, also known as games won, won, wins, W, sporting wins (wd:P1355 as ps/psv/wdtn/pr/p/wdt/pqv/prn/prv/pqn/pq/psn): number of sporting matches, games or events won
5. results, also known as output, result (wd:P2501 as ps/psv/wdtn/pr/p/wdt/pqv/prn/prv/pqn/pq/psn): results of a competition such as sports or elections
6. has effect, also known as has symptom, implies, leads to, led to, outcome (wd:P1542 as ps/psv/wdtn/pr/p/wdt/pqv/prn/prv/pqn/pq/psn): effect of this item, followed by
7. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as ps/psv/wdtn/pr/p/wdt/pqv/prn/prv/pqn/pq/psn): person or organization who grants an award, certification, grant, or role
8. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as ps/psv/wdtn/pr/p/wdt/pqv/prn/prv/pqn/pq/psn): underlying cause, entity that ultimately resulted in this effect, follows
9. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as ps/psv/wdtn/pr/p/wdt/pqv/prn/prv/pqn/pq/psn): significant or notable events associated with the subject
10. successful candidate, also known as election winner, winning candidate, winner of election, election won by, elected (wd:P991 as ps/psv/wdtn/pr/p/wdt/pqv/prn/prv/pqn/pq/psn): person(s) or political organization(s) elected after the election, candidate, winner

[Assistant] The property "winner" (wdt:P1346) is used for the winner of a competition or similar event. I will now query for Super Bowl events where the Baltimore Ravens (wd:Q276539) are the winner (wdt:P1346). I will also retrieve the year of the event.

[Tool]
Got 2 rows and 3 columns:
| superbowl                     | superbowlLabel        | year                                |
| ----------------------------- | --------------------- | ----------------------------------- |
| Super Bowl XXXV (wd:Q625210)  | Super Bowl XXXV (en)  | 2001-01-28T00:00:00Z (xsd:dateTime) |
| Super Bowl XLVII (wd:Q126291) | Super Bowl XLVII (en) | 2013-02-03T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the years in which the Baltimore Ravens won the Super Bowl, returning both the Super Bowl events and their dates. The answer is accurate and complete, listing the years 2001 and 2013 as the winning years. The query uses appropriate properties and entities and orders the results by year. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?airport ?airportName WHERE {
  ?airport wdt:P31 / wdt:P279 * wd:Q1248784 ; wdt:P131 ?borough .
  VALUES ?borough {
    wd:Q11299 wd:Q18419 wd:Q18424 wd:Q18426 wd:Q18432
  }
  OPTIONAL {
    ?airport rdfs:label ?airportName FILTER ( LANG( ?airportName ) = "en" )
  }
}

Got 3 rows and 2 columns:
| airport                                          | airportName                                |
| ------------------------------------------------ | ------------------------------------------ |
| Floyd Bennett Field (wd:Q1430350)                | Floyd Bennett Field (en)                   |
| LaGuardia Airport (wd:Q319654)                   | LaGuardia Airport (en)                     |
| John F. Kennedy International Airport (wd:Q8685) | John F. Kennedy International Airport (en) |

The airports located in New York City are LaGuardia Airport, John F. Kennedy International Airport, and Floyd Bennett Field.

[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 name of airport in new york?

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

[Tool]
Example 1:
Question:
what books has elie wiesel written?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P31 / wdt:P279 * wd:Q47461344 ; wdt:P50 wd:Q18391 .
}

Using entities:
Elie Wiesel, also known as Élie Wiesel, Eliezer Wiesel, A-7713 (wd:Q18391): Romanian-born American writer, professor, political activist, Nobel laureate, and Holocaust survivor (1928-2016), association football player, political activist, university teacher, Judaic scholar, autobiographer, philosopher, translator, journalist, playwright, architect, novelist, humanist, writer
written work, also known as creative written work, written delivery (wd:Q47461344): any work expressed in writing, such as inscriptions, manuscripts, documents or maps

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
author, also known as writer, written by, poet, playwright, maker (wd:P50 as wdt): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator

Example 2:
Question:
who was joseph pulitzer and what did he do?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q173417 wdt:P106 ?x .
}

Using entities:
Joseph Pulitzer, also known as j. pulitzer, Pulitzer Jozsef, Joseph "Joe" Pulitzer, Pulitzer József, Josef Pollitzer (wd:Q173417): Hungarian-American newspaper publisher and politician (1847-1911), newspaper proprietor, politician, journalist, publisher, writer

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

Example 3:
Question:
during what war did abraham lincoln serve as president?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q91 p:P39 ?p .
  ?p ps:P39 wd:Q11696 ; pq:P580 ?y ; pq:P582 ?z .
  ?x wdt:P31 wd:Q198 ; wdt:P580 ?w ; wdt:P582 ?v .
  FILTER ( ( ( ?w < ?z ) && ( ?w >= ?y ) ) || ( ( ?v < ?z ) && ( ?v >= ?y ) ) )
}

Using entities:
President of the United States, also known as US President, U.S. President, United States President, the president of the United States, President of the U.S. (wd:Q11696): head of state and head of government of the United States of America
war, also known as hostilities, military conflict, wars (wd:Q198): organized and prolonged violent conflict between states
Abraham Lincoln, also known as President Lincoln, Uncle Abe, Honest Abe, Abe Lincoln (wd:Q91): president of the United States from 1861 to 1865, military officer, statesperson, postmaster, politician, farmer, writer, lawyer

Using properties:
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
position held, also known as function, held position, holds position, job, office held (wd:P39 as p/ps): subject currently or formerly holds the object position or public office
start time, also known as start date, since, valid, join time, joined (wd:P580 as pq/wdt): time an entity begins to exist or a statement starts being valid, point in time
end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as pq/wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time

[Assistant] The examples did not directly relate to airports or cities, so I will now search for the entity "New York" to get its identifier in Wikidata. Then I will search for properties related to airports in New York.

[Tool]
Top 10 entity alternatives:
1. New York City, also known as Capital of the World, Big Apple, the five boroughs, The City So Nice They Named It Twice, NY, NY (wd:Q60): most populous city in the United States
2. New York, also known as New York state, New York, United States, US-NY, The Empire State, Empire State (wd:Q1384): state of the United States of America
3. New York, also known as US-NY, The Empire State, State of New York, NY state, NYS (wd:Q1384): state of the United States of America
4. Newburgh, also known as Newburgh, New York, Newburgh, NY (wd:Q1044808): city in Orange County, New York, United States
5. New York, New York (wd:Q743367): 1977 American musical-drama film directed by Martin Scorsese
6. Niu-York, also known as New York, Oleksandrivske, Novgorodskoye, Novgorodske, New-York (wd:Q4322522): rural settlement in Bakhmut Raion, Donetsk Oblast (province), Ukraine
7. New York, also known as New York (magazine), Vulture (blog), New York Magazine (wd:Q1507987): American magazine on life, culture, politics, and style, focusing on New York City
8. Province of New York, also known as Colony of New York, New York, New-York, New York Colony (wd:Q769668): former colony in North America, part of Great Britain
9. New York-New York Hotel and Casino, also known as New York, New York, New York-New York Hotel & Casino (wd:Q1429071): hotel and casino in Las Vegas
10. Theme from New York, New York, also known as New York, New York (wd:Q2039364): song written and composed by Fred Ebb and John Kander, originally recorded by Liza Minnelli and released in 1977

[Assistant] The entity "New York City" (wd:Q60) is the most relevant for the question about the airport in New York. Now I will search for properties related to airports for this entity.

[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. aerial view, also known as overhead view, sky view, orthophotograph, orthophoto, aerial image (wd:P8592 as p/wdt): image of the subject taken from the air, video, image
3. topic's main Wikimedia portal, also known as main portal, portal (wd:P1151 as p/wdt): Wikimedia portal associated with this topic
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. 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. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as p/wdt): body of water on or next to which a place is located, location
7. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as p/wdt): (list of) direct subdivisions of an administrative territorial entity, has part(s)
8. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as p/wdt): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
9. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
10. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as p/wdt): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with

No other items found

[Assistant] The search for properties related to airports for New York City did not directly return a property indicating airports located in New York City. I will now search for the entity "airport" to find the class or type of airports. Then I will query for airports located in New York City using the property "located in the administrative territorial entity" (wdt:P131).

[Tool]
Top 10 entity alternatives:
1. airport, also known as aerodrome, air port, airports (wd:Q1248784): location where aircraft take off and land with extended support facilities, mostly for commercial air transport
2. Airport (wd:Q409022): 1970 film directed by George Seaton
3. AirPort, also known as Apple AirPort (wd:Q697292): brand of wifi router equipment made by Apple Inc.
4. Airport, also known as Airport, CA, Airport, California (wd:Q4698872): census-designated place in Stanislaus County, California, USA
5. Airport (wd:Q2604087): 1968 novel by Arthur Hailey
6. Kasese Airport, also known as Airport, HUKS, KSE (wd:Q6374123): airport in Uganda
7. Basongo Airport, also known as airport, BAN, FZVR (wd:Q3339360): airport in Democratic Republic of the Congo
8. Bambili-Dingila Airport, also known as airport, FZKB, Aéroport de Bambili-Dingila (wd:Q3206837): airport in Democratic Republic of the Congo
9. Bokungu Airport, also known as Airport, FZGF (wd:Q4938837): airport in Democratic Republic of the Congo
10. Airport, also known as Rapid Airport (wd:Q11289474): Rapid trains in Hokkaido, Japan

[Assistant] The entity "airport" (wd:Q1248784) represents the concept of an airport. I will now write a SPARQL query to find airports (instances of wd:Q1248784) that are located in New York City (wd:Q60) using the property "located in the administrative territorial entity" (wdt:P131). I will also retrieve their names.

[Tool] Got no rows and 2 columns

[Assistant] The query returned no results, which means there might be no airports directly linked to New York City (wd:Q60) using the property "located in the administrative territorial entity" (wdt:P131). Airports might be linked to the state of New York (wd:Q1384) instead. I will try the same query but with New York state (wd:Q1384) instead of New York City.

[Tool]
Got 140 rows and 2 columns, showing the first 5 and last 5 rows below:
| airport                                         | airportName                            |
| ----------------------------------------------- | -------------------------------------- |
| Marcy Field (wd:Q1031234)                       | Marcy Field (en)                       |
| Sky Park Airport (wd:Q10845078)                 | Sky Park Airport (en)                  |
| Potsdam Municipal Airport (wd:Q10851768)        | Potsdam Municipal Airport (en)         |
| Luther Airport (wd:Q10853210)                   | Luther Airport (en)                    |
| Malone-Dufort Airport (wd:Q10853400)            | Malone-Dufort Airport (en)             |
| ...                                             | ...                                    |
| Ticonderoga Municipal Airport (wd:Q7800749)     | Ticonderoga Municipal Airport (en)     |
| Warwick Municipal Airport (wd:Q7971163)         | Warwick Municipal Airport (en)         |
| Wheeler-Sack Army Airfield (wd:Q7992189)        | Wheeler-Sack Army Airfield (en)        |
| Williamson–Sodus Airport (wd:Q8021256)          | Williamson–Sodus Airport (en)          |
| Wurtsboro-Sullivan County Airport (wd:Q8039315) | Wurtsboro-Sullivan County Airport (en) |

[Assistant]
There are many airports located in the state of New York (wd:Q1384). However, the user asked for the airport in New York, which likely refers to New York City (wd:Q60). Airports may be linked to the city using a different property or through the boroughs of New York City.

I will now try to find airports that have "New York" in their name as a heuristic to find the main airports serving New York City.

[Tool]
Got 5 rows and 2 columns:
| airport                                             | airportName                                 |
| --------------------------------------------------- | ------------------------------------------- |
| New York Stewart International Airport (wd:Q130864) | New York Stewart International Airport (en) |
| Argyle Airport (New York) (wd:Q14706160)            | Argyle Airport (New York) (en)              |
| Sidney Municipal Airport (New York) (wd:Q14707297)  | Sidney Municipal Airport (New York) (en)    |
| Tri-Cities Airport (New York) (wd:Q6588341)         | Tri-Cities Airport (New York) (en)          |
| New York Mills Municipal Airport (wd:Q7013773)      | New York Mills Municipal Airport (en)       |

[Assistant] The airports with "New York" in their name do not include the major airports commonly associated with New York City (such as JFK, LaGuardia, or Newark). I will now specifically search for these major airports by their common names to find their Wikidata entities. Then I will confirm if they are located in New York City or its vicinity.

[Tool]
Top 10 entity alternatives:
1. John F. Kennedy International Airport, also known as Kennedy International Airport, New York International Airport, KJFK, JFK International Airport, Kennedy International (wd:Q8685): international airport in New York, United States
2. John F. Kennedy International Airport, also known as Idlewild Airport, Kennedy International, JFK International Airport, KJFK, JFK Airport (wd:Q8685): international airport in New York, United States
3. Protests against Executive Order 13769, also known as 2017 John F. Kennedy International Airport protest (wd:Q28547752): protest in the United States
4. John F. Kennedy International Airport Terminal 8 (wd:Q128561890)
5. Eclectic and Futuristic: John F. Kennedy International Airport (wd:Q128643584): scholarly article
6. 2007 John F. Kennedy International Airport attack plot (wd:Q4608705): Foiled terrorist plot
7. John F. Kennedy Memorial Airport, also known as KASX, ASX (wd:Q2900611): airport in Ashland, Wisconsin, United States of America
8. Our Lady of the Skies Chapel at ...F. Kennedy International Airport (wd:Q17051623): Catholic chapel
9. PRESIDENT JOHN F. KENNEDY AT INTERNATIONAL MONETARY (NAID 123360) (wd:Q67614914): item in the National Archives and Records Administration's holdings
10. John F. Kennedy, also known as John Kennedy, John Fitzgerald Kennedy, John F Kennedy, Kennedy, President Kennedy (wd:Q9696): President of the United States from 1961 to 1963, anti-communist, naval officer, statesperson, journalist, politician, writer

[Tool]
Top 10 entity alternatives:
1. LaGuardia Airport, also known as LaGuardia, LGA, La Guardia Airport, KLGA (wd:Q319654): airport in Queens, New York City
2. 1975 LaGuardia Airport bombing (wd:Q13511605): 1975 terrorist attack
3. LaGuardia Airport subway extension (wd:Q117455703): proposed New York City Subway extension
4. airport, also known as aerodrome, air port, airports (wd:Q1248784): location where aircraft take off and land with extended support facilities, mostly for commercial air transport
5. Airport (wd:Q409022): 1970 film directed by George Seaton
6. AirPort, also known as Apple AirPort (wd:Q697292): brand of wifi router equipment made by Apple Inc.
7. Airport, also known as Airport, CA, Airport, California (wd:Q4698872): census-designated place in Stanislaus County, California, USA
8. Airport (wd:Q2604087): 1968 novel by Arthur Hailey
9. Kasese Airport, also known as Airport, HUKS, KSE (wd:Q6374123): airport in Uganda
10. Basongo Airport, also known as airport, BAN, FZVR (wd:Q3339360): airport in Democratic Republic of the Congo

[Tool]
Top 10 entity alternatives:
1. Newark Liberty International Airport, also known as EWR, KEWR, Newark Airport, Newark Army Air Field, Newark International Airport (wd:Q466786): international airport in Newark, New Jersey
2. Newark Liberty International Airport, also known as Newark Liberty station, Newark Liberty International Train Stration, Newark Liberty International Airport Train Station, Newark Liberty Airport station, Newark International Airport station (wd:Q14705806): NJ Transit rail station
3. Newark Liberty International Airport Marriott (wd:Q111394907): hotel in Newark, United States
4. Liberty Hill International Airport, also known as Liberty Hill Intl Aerodrome (wd:Q35274830): airport in Texas
5. international airport (wd:Q644371): airport serving international destinations
6. Liberty International, also known as International Society for Individual Liberty (wd:Q5479605): Libertarian educational institution based in San Francisco
7. International Airport (wd:Q55614529): 1985 film directed by Don Chaffey
8. Domodedovo International Airport, also known as Moscow-Domodedovo Airport, UUDD, Moscow International Airport, Moscow Domodedovo Airport, Moscow Airport (wd:Q186614): international airport serving Moscow, Russia
9. John F. Kennedy International Airport, also known as Kennedy International Airport, New York International Airport, KJFK, JFK International Airport, Kennedy International (wd:Q8685): international airport in New York, United States
10. John F. Kennedy International Airport, also known as Idlewild Airport, Kennedy International, JFK International Airport, KJFK, JFK Airport (wd:Q8685): international airport in New York, United States

[Assistant]
The major airports related to New York City are:
- John F. Kennedy International Airport (wd:Q8685)
- LaGuardia Airport (wd:Q319654)
- Newark Liberty International Airport (wd:Q466786) (located in Newark, New Jersey but serves the New York metropolitan area)

I will now confirm that these airports are instances of airport (wd:Q1248784) and get their English labels.

[Tool]
Got 2 rows and 2 columns:
| airport                                           | airportName                               |
| ------------------------------------------------- | ----------------------------------------- |
| LaGuardia Airport (wd:Q319654)                    | LaGuardia Airport (en)                    |
| Newark Liberty International Airport (wd:Q466786) | Newark Liberty International Airport (en) |

[Assistant] John F. Kennedy International Airport (wd:Q8685) was not returned in the last query, which means it might not be directly marked as an instance of airport (wd:Q1248784). I will check the instance of property (wdt:P31) for John F. Kennedy International Airport to verify its type.

[Tool]
Got 2 rows and 3 columns:
| subject                                          | property              | object                                      |
| ------------------------------------------------ | --------------------- | ------------------------------------------- |
| John F. Kennedy International Airport (wd:Q8685) | instance of (wdt:P31) | international airport (wd:Q644371)          |
| John F. Kennedy International Airport (wd:Q8685) | instance of (wdt:P31) | commercial traffic aerodrome (wd:Q94993988) |

[Assistant]
John F. Kennedy International Airport (wd:Q8685) is an instance of "international airport" (wd:Q644371) and "commercial traffic aerodrome" (wd:Q94993988), which are subclasses of airports.

I will now finalize the answer by listing the three major airports serving New York City: John F. Kennedy International Airport, LaGuardia Airport, and Newark Liberty International Airport.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer includes Newark Liberty International Airport, which is located in Newark, New Jersey, not New York City. The user specifically asked for airports in New York. The SPARQL query uses a fixed set of airports including Newark, which is not strictly in New York. To improve, the query should be refined to select airports located within New York state or New York City, rather than a fixed list. This will ensure the answer is accurate and relevant to the user's question.

[Assistant] Thank you for the feedback. I will refine the query to only include airports located within New York City (wd:Q60) or New York state (wd:Q1384) to ensure accuracy. I will retrieve airports that are instances of airport (wd:Q1248784) or its subclasses and are located in New York City or New York state using the property "located in the administrative territorial entity" (wdt:P131). I will also include their English labels.

[Tool]
Got 147 rows and 2 columns, showing the first 5 and last 5 rows below:
| airport                                         | airportName                            |
| ----------------------------------------------- | -------------------------------------- |
| Marcy Field (wd:Q1031234)                       | Marcy Field (en)                       |
| Sky Park Airport (wd:Q10845078)                 | Sky Park Airport (en)                  |
| Potsdam Municipal Airport (wd:Q10851768)        | Potsdam Municipal Airport (en)         |
| Luther Airport (wd:Q10853210)                   | Luther Airport (en)                    |
| Malone-Dufort Airport (wd:Q10853400)            | Malone-Dufort Airport (en)             |
| ...                                             | ...                                    |
| Ticonderoga Municipal Airport (wd:Q7800749)     | Ticonderoga Municipal Airport (en)     |
| Warwick Municipal Airport (wd:Q7971163)         | Warwick Municipal Airport (en)         |
| Wheeler-Sack Army Airfield (wd:Q7992189)        | Wheeler-Sack Army Airfield (en)        |
| Williamson–Sodus Airport (wd:Q8021256)          | Williamson–Sodus Airport (en)          |
| Wurtsboro-Sullivan County Airport (wd:Q8039315) | Wurtsboro-Sullivan County Airport (en) |

[Assistant] The refined query returned many airports located in New York City (wd:Q60) or New York state (wd:Q1384). To provide a concise answer, I will now filter for the most well-known major airports in New York City by checking for airports located in New York City (wd:Q60) and having names that contain "John F. Kennedy", "LaGuardia", or "Newark". This will exclude airports only in New York state but not in the city.

[Tool] Got no rows and 2 columns

[Assistant] There are no airports directly linked to New York City (wd:Q60) with names containing "John F. Kennedy" or "LaGuardia". I will now try the same query but for New York state (wd:Q1384) to see if these airports are linked to the state instead.

[Tool] Got no rows and 2 columns

[Assistant] There are no airports linked to New York state (wd:Q1384) with names containing "John F. Kennedy" or "LaGuardia". I will now try a different approach: I will find airports that are located in boroughs of New York City. I will first find the boroughs of New York City and then find airports located in those boroughs.

[Tool]
Got 5 rows and 1 column:
| borough                   |
| ------------------------- |
| Manhattan (wd:Q11299)     |
| Brooklyn (wd:Q18419)      |
| Queens (wd:Q18424)        |
| The Bronx (wd:Q18426)     |
| Staten Island (wd:Q18432) |

[Assistant] The boroughs of New York City are Manhattan, Brooklyn, Queens, The Bronx, and Staten Island. I will now find airports located in these boroughs.

[Tool]
Got 3 rows and 2 columns:
| airport                                          | airportName                                |
| ------------------------------------------------ | ------------------------------------------ |
| Floyd Bennett Field (wd:Q1430350)                | Floyd Bennett Field (en)                   |
| LaGuardia Airport (wd:Q319654)                   | LaGuardia Airport (en)                     |
| John F. Kennedy International Airport (wd:Q8685) | John F. Kennedy International Airport (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies airports located in the boroughs of New York City and returns their names. The answer includes the well-known airports LaGuardia Airport, John F. Kennedy International Airport, and Floyd Bennett Field, which are indeed airports in New York. The query uses appropriate properties and entities to restrict the search to airports in the boroughs of New York City. The result is complete and accurate for the user's question.