PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?religion ?religionLabel WHERE {
  wd:Q252 wdt:P140 ?religion .
  OPTIONAL {
    ?religion rdfs:label ?religionLabel FILTER ( LANG( ?religionLabel ) = "en" )
  }
}

SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=6)

The religions practiced in Indonesia include Islam, Catholicism, Protestantism, Buddhism, Hinduism, and Confucianism.

[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 are the religions practiced in indonesia?

[Assistant]
To answer the question about the religions practiced in Indonesia, I need to identify the entity for Indonesia and the property that relates a country to the religions practiced there.

Step 1: Search for the entity "Indonesia" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Indonesia, also known as id, ID, IDN, INA, Republic of Indonesia (wd:Q252): island country in Southeast Asia and Oceania
2. Nusantara, also known as Indonesian Islands, Old Javanese name for Indonesia, Nusantara Islands, Nusantara Archipelago, Indonesian Archipelago (wd:Q49332): Old Javanese term for the archipelagic Majapahit territory
3. Indonesia, also known as Indonesia Raya (wd:Q6025895): song
4. Indonesia, also known as Kota Palopo, Palopo (wd:Q12497996): village in Palopo Kota Palopo Sulawesi Selatan, South Sulawesi, Indonesia
5. indonesia (wd:Q97375377)
6. Indonesia (wd:Q20203516): 1981 single by Sandra Reemer
7. Indonesia at the 1982 Asian Games, also known as Indonesia (wd:Q16927493): sporting event delegation
8. Indonesia (wd:Q43379569): board game
9. INDONESIA (wd:Q127048047): hymn tune
10. Indonesia. (wd:Q30744720): scientific article

[Assistant] The entity for Indonesia is wd:Q252. Now I need to find the property that relates a country to the religions practiced there. I will search for properties related to "religion" for the entity Indonesia (wd:Q252).

[Tool]
Top 10 property alternatives:
1. 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
2. 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
3. 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)
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. flag, also known as flag description (wd:P163 as p/wdt): subject's flag
6. 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
7. basic form of government, also known as form of government, government, type of government (wd:P122 as p/wdt): subject's government
8. population, also known as inhabitants, human population (wd:P1082 as p/wdt): number of people inhabiting the place; number of people of subject
9. 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)
10. 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

No other items found

[Assistant]
The property "religion or worldview" (wdt:P140) is used to indicate the religion of a person, organization, or religious building. However, it may not directly indicate the religions practiced in a country. I will try to find if there is a property or statement that links Indonesia to religions practiced there using the property "religion or worldview" (wdt:P140).

I will query for religions linked to Indonesia (wd:Q252) using the property wdt:P140.

[Tool]
Got 6 rows and 2 columns:
| religion                  | religionLabel      |
| ------------------------- | ------------------ |
| Catholicism (wd:Q1841)    | Catholicism (en)   |
| Protestantism (wd:Q23540) | Protestantism (en) |
| Islam (wd:Q432)           | Islam (en)         |
| Buddhism (wd:Q748)        | Buddhism (en)      |
| Hinduism (wd:Q9089)       | Hinduism (en)      |
| Confucianism (wd:Q9581)   | Confucianism (en)  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the religions practiced in Indonesia using the property P140 (religion or worldview) associated with the entity for Indonesia (wd:Q252). The query returns the expected religions including Islam, Catholicism, Protestantism, Buddhism, Hinduism, and Confucianism, which matches the human-readable answer. The query also includes labels in English for better readability. The output is complete, accurate, and follows the guidelines for SPARQL queries. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?continent ?continentLabel WHERE {
  wd:Q783 wdt:P30 ?continent .
  ?continent rdfs:label ?continentLabel .
  FILTER ( LANG( ?continentLabel ) = "en" )
}

Got 1 row and 2 columns:
| continent              | continentLabel     |
| ---------------------- | ------------------ |
| North America (wd:Q49) | North America (en) |

Honduras is located in the continent of North America.

[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 honduras in the world?

[Assistant]
The user is asking about the location of Honduras in the world. This implies that the user wants to know the geographical location or the continent where Honduras is situated. To answer this, I need to find the entity for Honduras and then find its location or continent property.

Step 1: Search for the entity "Honduras" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Honduras, also known as hn, HN, HND, HON, Honduran Republic (wd:Q783): sovereign state in Central America
2. Hong Shengde, also known as Honduras (wd:Q9306612): Taiwanese actor, presenter, actor
3. Honduras, also known as Honduras, Barranquitas, Honduras Barrio, Honduras, Puerto Rico (wd:Q2879306): barrio in Barranquitas, Puerto Rico
4. Honduras, also known as Honduras, Cidra, Honduras, Puerto Rico, Honduras Barrio (wd:Q5901523): barrio in Cidra, Puerto Rico
5. Honduras, also known as Honduras, IN, Honduras, Indiana (wd:Q5893062): unincorporated community in Adams County, Indiana, United States
6. Honduras (wd:Q5901519): 1814 schooner
7. Honduras (wd:Q12891576)
8. Honduras (wd:Q12891575)
9. Honduras de la Sierra, also known as Honduras (wd:Q49978176): human settlement of Chiapas, Mexico
10. Honduras (wd:Q41377915): scientific article published on August 1985

[Assistant] The entity for the sovereign state Honduras in Central America is wd:Q783. Now I want to find the continent or location property of Honduras (wd:Q783) to answer where it is in the world. I will look for the continent property of Honduras.

[Tool]
Top 10 property alternatives:
1. continent (wd:P30 as p/wdt): continent of which the subject is a part, located in/on physical feature
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. 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
4. 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)
5. geography of topic (wd:P2633 as p/wdt): item that deals with the geography of the subject. Sample: "Rio ...10288853). For the location of a subject, use "location" (P276).
6. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
7. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
8. GeoNames ID, also known as GeoNames, Geonames Id (wd:P1566 as p/wdtn/wdt): identifier in the GeoNames geographical database
9. geoshape, also known as Commons map data, geographic data, geographic shape, .map, map data (wd:P3896 as p/wdt): geographic data from Wikimedia Commons
10. locator map image, also known as locator map, map image, map (wd:P242 as p/wdt): geographic map image which highlights the location of the subject within some larger entity, image

No other items found

[Assistant] The property "continent" (wdt:P30) is the appropriate property to find the continent of Honduras. I will now write a SPARQL query to get the continent of Honduras (wd:Q783) along with the continent's label.

[Tool]
Got 1 row and 2 columns:
| continent              | continentLabel     |
| ---------------------- | ------------------ |
| North America (wd:Q49) | North America (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the continent of Honduras using the property wdt:P30. The query returns the continent identifier and its English label, which is North America. The answer provided is accurate and complete. The query follows the rules by returning the actual identifier and label in an optional manner. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?timeZone ?timeZoneLabel WHERE {
  wd:Q201026 wdt:P421 ?timeZone .
  OPTIONAL {
    ?timeZone rdfs:label ?timeZoneLabel FILTER ( LANG( ?timeZoneLabel ) = "en" )
  }
}

The current time in Kauai, Hawaii is in the UTC−10:00 time zone. To get the exact current time, you would need to check a real-time clock or system set to this time zone.

[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 current time in kauai hawaii?

[Assistant]
To answer the question about the current time in Kauai, Hawaii, I need to find the time zone of Kauai, Hawaii. Then I can provide the current time based on that time zone.

Step 1: Identify the entity for Kauai, Hawaii in Wikidata.
Step 2: Find the time zone property for Kauai, Hawaii.
Step 3: Use the time zone information to determine the current time.

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

[Tool]
Top 10 entity alternatives:
1. Kauai, also known as Kauaʻi (wd:Q201026): northernmost populated island of the Hawaiian archipelago
2. Kauai, also known as IMO 7802718 (wd:Q122788843): ship built in 1980
3. Kauai (wd:Q116498799): restaurant chain in South Africa
4. Kauai (wd:Q114490161): episode of Drinking Made Easy (S2 E2)
5. Kauai County, also known as Kauai County, Hawaii, Kauai County, HI (wd:Q111517): county in Hawaii, United States
6. Kauaʻi ʻŌʻō, also known as Kauai oo, Moho braccatus (wd:Q19555): extinct species of Moho songbird
7. Hyundai Kona, also known as Hyundai Encino, Hyundai Kauai (wd:Q30322680): subcompact crossover SUV
8. Kauai Akialoa, also known as Kauaʻi ʻakialoa, Akialoa stejnegeri (wd:Q27075764): species of bird
9. Astelia waialealae, also known as Kauai paiiniu, Kauai paíiniu (wd:Q2868379): species of plant
10. Kokia kauaiensis, also known as Kauai kokiio, Kauai kokiío (wd:Q5486498): species of plant

[Assistant] The entity for Kauai, the northernmost populated island of the Hawaiian archipelago, is wd:Q201026. Next, I will find the time zone property for Kauai (wd:Q201026) in Wikidata.

[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. 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
4. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as p/wdt): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
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. length, also known as size, long, LOA, distance, dimension (wd:P2043 as p/wdt): measured dimension of an object
7. locator map image, also known as locator map, map image, map (wd:P242 as p/wdt): geographic map image which highlights the location of the subject within some larger entity, image
8. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
9. GeoNames ID, also known as GeoNames, Geonames Id (wd:P1566 as p/wdtn/wdt): identifier in the GeoNames geographical database
10. 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

No other items found

[Assistant] The property for the time zone of an entity is "located in time zone" with the identifier wd:P421. Now I will query the time zone of Kauai (wd:Q201026) using this property.

[Tool]
Got 1 row and 2 columns:
| timeZone             | timeZoneLabel  |
| -------------------- | -------------- |
| UTC−10:00 (wd:Q2163) | UTC−10:00 (en) |

[Assistant]
The time zone of Kauai, Hawaii is UTC−10:00. Since the question asks for the current time in Kauai, Hawaii, I need to provide the current time in the UTC−10:00 time zone.

However, the current time is dynamic and not stored in Wikidata. I can provide the time zone information, but the exact current time would need to be obtained from a real-time clock or system.

I will now provide the answer with the time zone information.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified the time zone of Kauai, Hawaii as UTC−10:00 using the property 'located in time zone' (wdt:P421) from Wikidata. The SPARQL query is appropriate and returns the time zone identifier and label. The answer clearly states the time zone and explains that the exact current time requires a real-time clock, which is accurate since Wikidata does not provide real-time time data. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?language ?languageLabel WHERE {
  {
    wd:Q79 wdt:P37 ?language .
  } UNION {
    wd:Q79 wdt:P2936 ?language .
  }
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Got 13 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                           | languageLabel               |
| ---------------------------------- | --------------------------- |
| Arabic (wd:Q13955)                 | Arabic (en)                 |
| English (wd:Q1860)                 | English (en)                |
| Kenzi (wd:Q20639851)               | Kenzi (en)                  |
| Egyptian Arabic (wd:Q29919)        | Egyptian Arabic (en)        |
| Beja (wd:Q33025)                   | Beja (en)                   |
| ...                                | ...                         |
| Modern Standard Arabic (wd:Q56467) | Modern Standard Arabic (en) |
| Libyan Arabic (wd:Q56503)          | Libyan Arabic (en)          |
| Saʽidi Arabic (wd:Q56592)          | Saʽidi Arabic (en)          |
| Bedawi Arabic (wd:Q56714)          | Bedawi Arabic (en)          |
| Malay (wd:Q9237)                   | Malay (en)                  |

Egypt's official language is Arabic. Additionally, several other languages are used in Egypt including English, Malay, Coptic, Egyptian Arabic, Modern Standard Arabic, Beja, Siwa, Libyan Arabic, Sa'idi Arabic, and Bedawi Arabic.

[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 kind of language do egyptian speak?

[Assistant]
To answer the question "What kind of language do Egyptians speak?", I need to identify the entity for "Egyptian" which likely refers to the country Egypt or the people of Egypt, and then find the languages spoken by them.

Step 1: Search for the entity "Egypt" in Wikidata to get its identifier.
Step 2: Find the property that relates a country or people to the language they speak.
Step 3: Query the languages spoken in Egypt or by Egyptians.

I will start by searching for the entity "Egypt".

[Tool]
Top 10 entity alternatives:
1. Egypt, also known as Republic of Egypt, Rep. Egypt, EGY, eg, Arab Republic of Egypt (wd:Q79): country in Northeast Africa and Southwest Asia
2. Khedivate of Egypt, also known as Egypt, Egyptian Khedivate (wd:Q127861): 1867-1914 monarchy in Northeastern Africa
3. Egypt Eyalet, also known as QASR of Egypt, Pashalik of Egypt, Egypt, Mısır Eyalet, Beylerbeyilik of Egypt (wd:Q491507): Egyptian State (1517–1867)
4. Egypt, also known as Egypt, AK, Egypt, AR (wd:Q2083973): town in Arkansas
5. Egypt, also known as Egypt, Etowah County, Alabama, Egypt, AL (wd:Q5348296): census-designated place in Etowah County, Alabama
6. Egypt, also known as Egypt, Pennsylvania (wd:Q5348306): human settlement in Pennsylvania, United States
7. Egypt 1156 B.C., also known as Egypt, Egypt 1156 B.C.: Tomb of the Pharaoh (wd:Q3586212): 1999 video game
8. Egypt, also known as Egypt, WV (wd:Q5348310): unincorporated community in Jefferson County, West Virginia
9. Egypt (wd:Q5348317): 2004 album by Youssou N'Dour
10. Egypt, also known as Egypt, IN, Egypt, Indiana (wd:Q5348297): unincorporated community in Jasper County, Minnesota

[Assistant]
The entity for the country Egypt is wd:Q79. Now, I need to find the property that relates a country or people to the language they speak. Commonly, the property "official language" (P37) or "language spoken" might be used.

I will check the languages spoken or official languages of Egypt (wd:Q79).

[Tool]
Got 1 row and 3 columns:
| subject        | property                    | object             |
| -------------- | --------------------------- | ------------------ |
| Egypt (wd:Q79) | official language (wdt:P37) | Arabic (wd:Q13955) |

[Tool]
Got 12 rows and 3 columns, showing the first 10 rows below:
| subject        | property                  | object                             |
| -------------- | ------------------------- | ---------------------------------- |
| Egypt (wd:Q79) | language used (wdt:P2936) | English (wd:Q1860)                 |
| Egypt (wd:Q79) | language used (wdt:P2936) | Malay (wd:Q9237)                   |
| Egypt (wd:Q79) | language used (wdt:P2936) | Coptic (wd:Q36155)                 |
| Egypt (wd:Q79) | language used (wdt:P2936) | Egyptian Arabic (wd:Q29919)        |
| Egypt (wd:Q79) | language used (wdt:P2936) | Modern Standard Arabic (wd:Q56467) |
| Egypt (wd:Q79) | language used (wdt:P2936) | Beja (wd:Q33025)                   |
| Egypt (wd:Q79) | language used (wdt:P2936) | Siwa (wd:Q36814)                   |
| Egypt (wd:Q79) | language used (wdt:P2936) | Libyan Arabic (wd:Q56503)          |
| Egypt (wd:Q79) | language used (wdt:P2936) | Saʽidi Arabic (wd:Q56592)          |
| Egypt (wd:Q79) | language used (wdt:P2936) | Bedawi Arabic (wd:Q56714)          |
| ...            | ...                       | ...                                |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the official language of Egypt (Arabic) but does not retrieve the additional languages mentioned in the answer. The query uses both wdt:P37 (official language) and wdt:P2936 (languages widely used) but the OPTIONAL clause for wdt:P2936 is not connected to the main pattern, so it does not return those languages. To improve, the query should be adjusted to retrieve all languages linked by either property, possibly using UNION or a more inclusive pattern, to reflect the multiple languages spoken in Egypt as stated in the answer.

[Assistant] Thank you for the feedback. I will adjust the SPARQL query to correctly retrieve all languages linked to Egypt by either the official language property (wdt:P37) or the language used property (wdt:P2936). I will use a UNION pattern to combine these two properties and retrieve all relevant languages with their English labels.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the official language and other languages used in Egypt, matching the user's question about the languages spoken in Egypt. It uses appropriate properties (official language and languages used) and returns both the language identifiers and their English labels. The answer is comprehensive and includes multiple languages, which is accurate. No further refinement is necessary.


PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?person ?personLabel WHERE {
  ?person p:P39 ?statement .
  ?statement ps:P39 wd:Q4416090 ; pq:P768 ?seat .
  FILTER ( ?seat IN ( wd:Q101498993 , wd:Q101498883 ) ) OPTIONAL {
    ?statement pq:P580 ?start .
  }
  OPTIONAL {
    ?statement pq:P582 ?end .
  }
  FILTER ( ( ! BOUND( ?start ) || ?start <= "2013-12-31T23:59:59Z" ^^ xsd:dateTime ) && ( ! BOUND( ?end ) || ?end >= "2013-01-01T00:00:00Z" ^^ xsd:dateTime ) ) ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
}

Got 3 rows and 2 columns:
| person                   | personLabel      |
| ------------------------ | ---------------- |
| Tim Kaine (wd:Q359888)   | Tim Kaine (en)   |
| Mark Warner (wd:Q453893) | Mark Warner (en) |
| Jim Webb (wd:Q532279)    | Jim Webb (en)    |

The Virginia senators in 2013 were Tim Kaine, Mark Warner, and Jim Webb.

[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] who are the virginia senators 2013?

[Assistant]
To answer the question "Who are the Virginia senators in 2013?", I need to identify the senators representing the U.S. state of Virginia in the year 2013.

Step 1: Identify the entity for Virginia (U.S. state).
Step 2: Identify the property for "member of the Senate" or "senator" and the time period qualifier for the year 2013.
Step 3: Query for persons who were senators for Virginia in 2013.

I will start by searching for the entity representing the U.S. state of Virginia.

[Tool]
Top 10 entity alternatives:
1. Virginia, also known as State of Virginia, Old Dominion, US-VA, Va., Commonwealth of Virginia (wd:Q1370): state of the United States of America
2. Virginia, also known as VA, Virginia, United States, Va., US-VA, Old Dominion (wd:Q1370): state of the United States of America
3. 50 Virginia, also known as (50) Virginia, Virginia (wd:Q154933): main-belt asteroid
4. Virginia, also known as Virginia, Minnesota, Virginia, MN (wd:Q986681): city in St. Louis County, Minnesota, United States
5. Virginia, also known as Virginia, Illinois, Virginia, IL (wd:Q579625): city in Illinois, USA
6. Virginia, also known as Virginia, Nebraska, Virginia, NE (wd:Q2207776): village in Gage County, Nebraska, United States
7. Virgínia, also known as Virginia (wd:Q1787215): town and municipality in the state of Minas Gerais, Brazil
8. Verginia, also known as Virginia (wd:Q1278485): 5th-century BC Roman heroine
9. Virginia, also known as Virginia, County Cavan (wd:Q255427): town in County Cavan, Ireland
10. Virginia (wd:Q290763): genus of reptiles

[Assistant]
The entity for the U.S. state of Virginia is wd:Q1370.

Next, I will identify the property or relation that indicates a person is a senator representing Virginia. Typically, senators are members of the United States Senate (wd:Q13218630) and have a property indicating the constituency or electoral district they represent.

I will search for properties related to "senator" or "member of the Senate" for the entity Virginia (wd:Q1370).

[Tool]
Top 10 property alternatives:
1. Biographical Dictionary of the Australian Senate ID, also known as Biographical Dictionary of the Australian Senate senator ID, Senate biography id, Sen id (wd:P11281 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): an entry in the Biographical Dictionary of the Australian Senate
2. Senate of Romania person ID (wd:P9523 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): identifier for a person on the senat.ro website
3. successful candidate, also known as election winner, winning candidate, winner of election, election won by, elected (wd:P991 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): person(s) or political organization(s) elected after the election, candidate, winner
4. Dutch Senate person ID, also known as DSP ID (wd:P1959 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): identifier for a person on the website of the Dutch Senate
5. Federation Council person ID, also known as council.gov.ru ID, russian senator ID (wd:P10047 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): ID of a member of the Federation Council of the Federal Assembly of the Russian Federation
6. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): persons who hold and/or held the position
7. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): the political party of which a person is or has been a member or otherwise affiliated, member of
8. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): 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
9. nominee, also known as award nominee (wd:P2453 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): qualifier used with “nominated for” to specify which person or organization was nominated
10. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): subject currently or formerly holds the object position or public office

[Assistant]
The property "position held" (wdt:P39) is used to indicate the position or office a person holds or held. This is likely the property to use to find senators.

Next, I will search for the entity representing the position of "United States Senator" to use it as a filter for the position held.

[Tool]
Top 10 entity alternatives:
1. United States senator, also known as U.S. senator, US senator (wd:Q4416090): member of the United States Senate
2. state senator, also known as United States state senator, state senator of the United States, US state senator, U.S. state senator (wd:Q7603534): member of an upper house of a U.S. state legislature
3. classes of United States Senators (wd:Q1744546): cohorts of senate seats whose holders will be elected in a given year
4. On Being Chosen United States Senator (wd:Q19085707)
5. AGES of United States Senators (wd:Q83349417): scientific article published on 01 March 1947
6. Longevity of United States Senators (wd:Q72412902): scientific article published on 01 May 1969
7. Viewpoint of a United States Senator (wd:Q70439396): scientific article published on 01 September 1972
8. Cranston, Alan MacGregor (1914-2000), United States senator (wd:Q103852732): encyclopedia article
9. United States Senator Ted Kennedy Visits Israel (wd:Q113666341): newsreel
10. Senator of the United States Virgin Islands (wd:Q20846080): member of the legislature of the Virgin Islands

[Assistant]
The entity for "United States senator" is wd:Q4416090.

Now I will construct a SPARQL query to find persons who held the position of United States senator (wd:Q4416090) with the constituency or representing the state of Virginia (wd:Q1370) in the year 2013.

I will check how to find the constituency or representing state for the position held. Usually, this is represented by the property "electoral district" (wdt:P768) or "representing" or "constituency".

I will search for properties related to "constituency" or "electoral district" for the position held.

[Tool]
Top 10 property alternatives:
1. electoral district, also known as riding, seat, ward, electoral area, electorate (wd:P768 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): electoral district this person is representing, or of the office... or "office contested" (P541) or "candidacy in election" (P3602)
2. associated electoral district, also known as associated constituency, located in the constituency, located in electoral district, constituency associated with place, electoral district associated with place (wd:P7938 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): constituencies/electoral districts in which a place is located o...inct from administrative entities (P131) in predefined countries
3. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): subject currently or formerly holds the object position or public office
4. number of constituencies, also known as num_constituencies (wd:P4253 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): number of constituencies related to a legislative body
5. electoral district number, also known as district number (wd:P4565 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): number of the constituency/electoral district established by law...ch lack legal force, even if contained in a government database.
6. successful candidate, also known as election winner, winning candidate, winner of election, election won by, elected (wd:P991 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): person(s) or political organization(s) elected after the election, candidate, winner
7. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): the political party of which a person is or has been a member or otherwise affiliated, member of
8. represented by, also known as agent, managed by, manager, managing agent, rep (wd:P1875 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): person or agency that represents or manages the subject
9. political coalition, also known as electoral block, political bloc, political alliance, electoral list, electoral alliance (wd:P5832 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): agreement for cooperation between different political parties, member of
10. candidate, also known as candidate in this election, has election candidate, electoral candidate, election has candidate (wd:P726 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): person or party that is an option for an office in this election, participant

[Assistant]
The property "electoral district" (wdt:P768) is used to indicate the electoral district or constituency a person represents.

I will now construct a SPARQL query to find persons who held the position of United States senator (wd:Q4416090) with the electoral district Virginia (wd:Q1370) and with a time qualifier that includes the year 2013.

I will query for the persons, their position held statements, and check the qualifiers for start and end time to filter for the year 2013.

[Tool] Got no rows and 2 columns

[Assistant]
The query returned no results, which suggests that the property "electoral district" (wdt:P768) might not be used as a qualifier for the position held for U.S. senators.

I will try a different approach: Instead of using the qualifier "electoral district," I will check if the position held statement has a "representing" or "for" qualifier or a direct property linking the senator to Virginia.

I will search for properties used as qualifiers with the property "position held" (wdt:P39) for the position "United States senator" (wd:Q4416090) to find the correct qualifier for the represented state.

[Tool] Got no rows and 3 columns

[Assistant]
The property wdt:P39 is a direct property for position held, not a qualifier. I need to find qualifiers for the statement of position held (P39) for United States senators.

I will try to find statements with position held = United States senator (wd:Q4416090) and see what qualifiers are used in these statements. I will search for statements with property P39 and object wd:Q4416090 and check their qualifiers.

[Tool]
Got 2,032 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                | object                              |
| ----------------------------- | ----------------------- | ----------------------------------- |
| Barack Obama (wd:Q76)         | position held (wdt:P39) | United States senator (wd:Q4416090) |
| Joe Biden (wd:Q6279)          | position held (wdt:P39) | United States senator (wd:Q4416090) |
| John F. Kennedy (wd:Q9696)    | position held (wdt:P39) | United States senator (wd:Q4416090) |
| Harry S. Truman (wd:Q11613)   | position held (wdt:P39) | United States senator (wd:Q4416090) |
| Hillary Clinton (wd:Q6294)    | position held (wdt:P39) | United States senator (wd:Q4416090) |
| Richard Nixon (wd:Q9588)      | position held (wdt:P39) | United States senator (wd:Q4416090) |
| Kamala Harris (wd:Q10853588)  | position held (wdt:P39) | United States senator (wd:Q4416090) |
| Lyndon B. Johnson (wd:Q9640)  | position held (wdt:P39) | United States senator (wd:Q4416090) |
| John Quincy Adams (wd:Q11816) | position held (wdt:P39) | United States senator (wd:Q4416090) |
| Andrew Jackson (wd:Q11817)    | position held (wdt:P39) | United States senator (wd:Q4416090) |
| ...                           | ...                     | ...                                 |

[Assistant]
There are many people who held the position of United States senator (wd:Q4416090). To find the qualifiers used in the statements for these senators, I will check the qualifiers for the position held (P39) statements of a known senator from Virginia.

I will search for the position held statements for a known Virginia senator. I will first find a senator from Virginia by searching for "Virginia senator".

[Tool]
Top 10 entity alternatives:
1. member of the State Senate of Virginia, also known as member of the Virginia Senate, member of the Virginia State Senate, senator of Virginia, Virginia state senator (wd:Q18604340): position
2. Virginia, also known as State of Virginia, Old Dominion, US-VA, Va., Commonwealth of Virginia (wd:Q1370): state of the United States of America
3. Virginia, also known as VA, Virginia, United States, Va., US-VA, Old Dominion (wd:Q1370): state of the United States of America
4. 50 Virginia, also known as (50) Virginia, Virginia (wd:Q154933): main-belt asteroid
5. Virginia, also known as Virginia, Minnesota, Virginia, MN (wd:Q986681): city in St. Louis County, Minnesota, United States
6. Virginia, also known as Virginia, Illinois, Virginia, IL (wd:Q579625): city in Illinois, USA
7. Virginia, also known as Virginia, Nebraska, Virginia, NE (wd:Q2207776): village in Gage County, Nebraska, United States
8. Virgínia, also known as Virginia (wd:Q1787215): town and municipality in the state of Minas Gerais, Brazil
9. Verginia, also known as Virginia (wd:Q1278485): 5th-century BC Roman heroine
10. senator, also known as senatore, senators (wd:Q15686806): member of a senate, usually the upper house of a legislature

[Assistant]
The entity "member of the State Senate of Virginia" (wd:Q18604340) refers to the state senate, not the U.S. Senate.

I will try to find a known U.S. senator from Virginia around 2013 to check their position held qualifiers.

I will search for "Mark Warner" who was a U.S. senator from Virginia in 2013.

[Tool]
Top 10 entity alternatives:
1. Mark Warner, also known as Mark R. Warner, Mark Robert Warner (wd:Q453893): United States Senator from Virginia, congressional staff, venture capitalist, entrepreneur, politician
2. Mark Warner (wd:Q1617921): American film editor, film editor
3. Mark Warner (wd:Q14949474): Canadian politician, politician, lawyer
4. Mark Warner (wd:Q6770231): American musician, record producer, songwriter, guitarist, musician
5. Mark Warner (wd:Q3849576): fictional character on the American television show House
6. Mark Warner, also known as M. Warner (wd:Q21166633): British theoretical physicist, FRS (1952–2021), physicist
7. Mark S. Warner, also known as Mark S Warner, Mark Warner (wd:Q111336644): archaeologist
8. Mark Warner (wd:Q107563225): American colonist (1677–1766)
9. Mark Warner (wd:Q107563227): (1646-1738)
10. Mark Warner (wd:Q131009307)

[Assistant]
The entity for Mark Warner, United States Senator from Virginia, is wd:Q453893.

I will now list the statements for Mark Warner with the property "position held" (P39) to check the qualifiers used.

[Tool]
Got 3 rows and 3 columns:
| subject                  | property                | object                              |
| ------------------------ | ----------------------- | ----------------------------------- |
| Mark Warner (wd:Q453893) | position held (wdt:P39) | chairperson (wd:Q140686)            |
| Mark Warner (wd:Q453893) | position held (wdt:P39) | Governor of Virginia (wd:Q878942)   |
| Mark Warner (wd:Q453893) | position held (wdt:P39) | United States senator (wd:Q4416090) |

[Assistant]
Mark Warner has a position held statement for United States senator (wd:Q4416090). I will now check the qualifiers for this statement to find the time period and the represented state.

I will list the statements with qualifiers for Mark Warner's position held as United States senator.

[Tool]
Got 359 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                         | object                                                                                |
| ------------------------ | -------------------------------- | --------------------------------------------------------------------------------------------------------------------------- |
| Mark Warner (wd:Q453893) | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| Mark Warner (wd:Q453893) | occupation (wdt:P106)            | politician (wd:Q82955)                                                                                |
| Mark Warner (wd:Q453893) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                                |
| Mark Warner (wd:Q453893) | given name (wdt:P735)            | Mark (wd:Q13610143)                                                                                |
| Mark Warner (wd:Q453893) | date of birth (wdt:P569)         | 1954-12-15T00:00:00Z (xsd:dateTime)                                                                                |
| Mark Warner (wd:Q453893) | Commons category (wdt:P373)      | Mark Warner                                                                                |
| Mark Warner (wd:Q453893) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Mark%20Warner%2C%20official%20112th%20Congress%20Senate%20portrait.jpg> |
| Mark Warner (wd:Q453893) | country of citizenship (wdt:P27) | United States (wd:Q30)                                                                                |
| Mark Warner (wd:Q453893) | family name (wdt:P734)           | Warner (wd:Q21502034)                                                                                |
| Mark Warner (wd:Q453893) | place of birth (wdt:P19)         | Indianapolis (wd:Q6346)                                                                                |
| ...                      | ...                              | ...                                                                                |

[Assistant]
Listing all statements for Mark Warner is too broad. I will narrow down to statements with property P39 (position held) and check their qualifiers.

I will list the statements with property P39 for Mark Warner and check qualifiers for the one with object wd:Q4416090 (United States senator).

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject                  | property              | object                                         |
| ------------------------ | --------------------- | ---------------------------------------------- |
| Mark Warner (wd:Q453893) | position held (p:P39) | s:Q453893-0FE0DB2B-CE30-46A0-AE7D-9E36F735A2D0 |
| Mark Warner (wd:Q453893) | position held (p:P39) | s:Q453893-71D5A02A-8C25-4044-AE30-BE512F52543E |
| Mark Warner (wd:Q453893) | position held (p:P39) | s:Q453893-771750d2-488e-bddd-4623-dac8166c56e8 |
| Mark Warner (wd:Q453893) | position held (p:P39) | s:Q453893-7F678B8A-E0D0-4CEB-85D4-E1949422BC4A |
| Mark Warner (wd:Q453893) | position held (p:P39) | s:Q453893-985D04C3-C9AF-44C9-BB2A-39CB4D968733 |
| Mark Warner (wd:Q453893) | position held (p:P39) | s:Q453893-AD201FB2-5BB8-4069-ADA2-54FE87D79F6E |
| Mark Warner (wd:Q453893) | position held (p:P39) | s:Q453893-B68C7974-B288-40BD-B0F8-F8AC36CBE352 |
| Mark Warner (wd:Q453893) | position held (p:P39) | s:Q453893-BA4EB229-803C-4947-A6C3-86C85BCBA5A9 |
| Mark Warner (wd:Q453893) | position held (p:P39) | s:Q453893-D18FE0EF-06F1-4AF8-BAB0-BAD6710296C0 |
| Mark Warner (wd:Q453893) | position held (p:P39) | s:Q453893-f03068ee-4612-221f-b957-9d73d90c46cc |
| ...                      | ...                   | ...                                            |

[Assistant]
Mark Warner has multiple statements for position held (P39). I will check the qualifiers for the statement where he held the position of United States senator (wd:Q4416090).

I will list the qualifiers for the statement s:Q453893-0FE0DB2B-CE30-46A0-AE7D-9E36F735A2D0 (as an example) to see if it corresponds to the senator position.

[Tool]
Got 13 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property                       | object                                                       |
| ---------------------------------------------- | ------------------------------ | ------------------------------------------------------------ |
| s:Q453893-0FE0DB2B-CE30-46A0-AE7D-9E36F735A2D0 | position held (ps:P39)         | United States senator (wd:Q4416090)                          |
| s:Q453893-0FE0DB2B-CE30-46A0-AE7D-9E36F735A2D0 | start time (pq:P580)           | 2017-01-03T00:00:00Z (xsd:dateTime)                          |
| s:Q453893-0FE0DB2B-CE30-46A0-AE7D-9E36F735A2D0 | end time (pq:P582)             | 2019-01-03T00:00:00Z (xsd:dateTime)                          |
| s:Q453893-0FE0DB2B-CE30-46A0-AE7D-9E36F735A2D0 | electoral district (pq:P768)   | Virginia Class 2 senate seat (wd:Q101498993)                 |
| s:Q453893-0FE0DB2B-CE30-46A0-AE7D-9E36F735A2D0 | parliamentary term (pq:P2937)  | 115th United States Congress (wd:Q18740945)                  |
| s:Q453893-0FE0DB2B-CE30-46A0-AE7D-9E36F735A2D0 | parliamentary group (pq:P4100) | Democratic Party (wd:Q29552)                                 |
| s:Q453893-0FE0DB2B-CE30-46A0-AE7D-9E36F735A2D0 | elected in (pq:P2715)          | 2014 United States Senate election in Virginia (wd:Q7892086) |
| s:Q453893-0FE0DB2B-CE30-46A0-AE7D-9E36F735A2D0 | wikibase:rank                  | wikibase:NormalRank                                          |
| s:Q453893-0FE0DB2B-CE30-46A0-AE7D-9E36F735A2D0 | rdf:type                       | wikibase:BestRank                                            |
| s:Q453893-0FE0DB2B-CE30-46A0-AE7D-9E36F735A2D0 | prov:wasDerivedFrom            | ref:7d5fa83f91754fc256fa55eb0469e243a240d338                 |
| ...                                            | ...                            | ...                                                          |

[Assistant]
The statement for Mark Warner as United States senator has the qualifier "electoral district" (pq:P768) with the value "Virginia Class 2 senate seat" (wd:Q101498993). It also has qualifiers for start time (pq:P580) and end time (pq:P582).

I will now construct a SPARQL query to find persons who held the position of United States senator (wd:Q4416090) with the qualifier electoral district (pq:P768) being a Virginia senate seat and with a time qualifier that includes the year 2013.

I will first find the Virginia senate seats to use them in the query.

[Tool]
Top 10 entity alternatives:
1. Virginia Class 2 senate seat, also known as Virginia senate seat (II) (wd:Q101498993): Class 2 United States senate seat for Virginia
2. Virginia Class 1 senate seat, also known as Virginia senate seat (I) (wd:Q101498883): Class 1 United States senate seat for Virginia
3. West Virginia Class 1 senate seat, also known as West Virginia senate seat (I) (wd:Q101498958): Class 1 United States senate seat for West Virginia
4. West Virginia Class 2 senate seat, also known as West Virginia senate seat (II) (wd:Q101499085): Class 2 United States senate seat for West Virginia
5. Senate of Virginia, also known as Virginia Senate (wd:Q1747983): upper chamber of Virginia bicameral legislature
6. West Virginia Senate (wd:Q2269878): upper house of the West Virginia Legislature
7. Seatack, also known as Seatack, VA, Seatack, Virginia (wd:Q7441982): human settlement in Virginia, United States of America
8. Virginia Senate district (wd:Q95121499)
9. 77th West Virginia Senate (wd:Q4643619)
10. 2015 Virginia Senate election (wd:Q116987124)

[Assistant]
The Virginia senate seats are represented by the entities:
- Virginia Class 2 senate seat (wd:Q101498993)
- Virginia Class 1 senate seat (wd:Q101498883)

I will now construct a SPARQL query to find persons who held the position of United States senator (wd:Q4416090) with the qualifier electoral district (pq:P768) being either of these two Virginia senate seats and with a time qualifier that includes the year 2013.

[Tool]
Got 3 rows and 2 columns:
| person                   | personLabel      |
| ------------------------ | ---------------- |
| Tim Kaine (wd:Q359888)   | Tim Kaine (en)   |
| Mark Warner (wd:Q453893) | Mark Warner (en) |
| Jim Webb (wd:Q532279)    | Jim Webb (en)    |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the Virginia senators for the year 2013 by filtering for the two Virginia Senate seats and ensuring the term overlaps with 2013. The answer lists Tim Kaine, Mark Warner, and Jim Webb, which matches the query results. The query uses appropriate properties and filters for the time period, and the labels are retrieved in English. The output is correct and complete.


PREFIX p: <http://www.wikidata.org/prop/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?person ?personLabel WHERE {
  ?person p:P39 ?statement .
  ?statement ps:P39 wd:Q20198851 .
  FILTER NOT EXISTS {
    ?statement pq:P582 ?endTime
  }
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}
LIMIT 1

The current state governor of Florida is Ron DeSantis.

[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] who is the state governor of florida?

[Assistant]
To answer the question "Who is the state governor of Florida?" I need to identify the entity for Florida and the property that relates a state to its governor in the knowledge graph. Then I will query the governor of Florida.

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

[Tool]
Top 10 entity alternatives:
1. Florida, also known as Peninsular State, US-FL, The Sunshine State, FL, Fla. (wd:Q812): state of the United States of America
2. Florida, also known as US-FL, The Sunshine State, Fla., The Gator State, Sunshine State (wd:Q812): state of the United States of America
3. Florida, also known as Ciudad de la Florida (wd:Q842472): city in Florida Department, Uruguay
4. Florida (wd:Q13048): town in Chile
5. Spanish Florida, also known as Florida (wd:Q555528): former Spanish possession in North America  (1513–1763, 1783–1821)
6. Florida, also known as Florida, MA, Town of Florida, Florida, Massachusetts (wd:Q1112732): town in Massachusetts, United States
7. Florida (wd:Q643617): municipality and city in Cuba
8. Flórida, also known as Florida, Flórida, Paraná (wd:Q2077862): municipality of Brazil
9. Florida, also known as Florida Municipio, Florida PR, Florida, PR, Florida, Puerto Rico (wd:Q2271950): municipality in Puerto Rico
10. Florida, also known as Florida, Missouri, Florida, MO (wd:Q537803): village in Missouri, United States of America

[Assistant] The entity for the state of Florida in the United States is wd:Q812. Next, I need to find the property that relates a state to its governor. I will search for properties related to "governor" for the entity Florida (wd:Q812).

[Tool]
Top 10 property alternatives:
1. 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
2. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as 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
3. 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
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. 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
6. executive body, also known as executive branch (wd:P208 as p/wdt): branch of government for the daily administration of the 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. 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)
9. 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
10. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as p/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place

No other items found

[Assistant] The property "office held by head of government" (wdt:P1313) seems relevant as it relates a political office to the entity it governs. I will now query for the governor (person) who holds the office of head of government for Florida (wd:Q812) using this property.

[Tool] Got no rows and 2 columns

[Assistant]
The query did not return any results. It seems the property "office held by head of government" (wdt:P1313) is not directly linking the governor to Florida. I will try another approach.

I will search for the property "governor" in general to find a more suitable property to link a state to its governor.

[Tool]
Top 10 property alternatives:
1. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): official with the highest formal authority in a country/state, director / manager, chairperson
2. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
3. 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/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): political office that is fulfilled by the head of state of this item
4. 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/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
5. country, also known as sovereign state, state, land, host country (wd:P17 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. official residence, also known as resides at, lives in, palace, presidential mansion, presidential palace (wd:P263 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): the residence at which heads of government and other senior figures officially reside, residence
7. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): subject currently or formerly holds the object position or public office
8. successful candidate, also known as election winner, winning candidate, winner of election, election won by, elected (wd:P991 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): person(s) or political organization(s) elected after the election, candidate, winner
9. chief executive officer, also known as executive director, CEO, chief executive (wd:P169 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): highest-ranking corporate officer appointed as the CEO within an organization, director / manager, corporate officer
10. rector, also known as chancellor, university president, Rector (academia), president (wd:P1075 as p/psv/pr/pqv/prv/ps/wdt/psn/prn/wdtn/pqn/pq): senior official in an educational institution., director / manager, chairperson

[Assistant]
The property "position held" (wdt:P39) is commonly used to indicate the office or position a person holds. I will use this property to find the person who holds the position of governor of Florida.

Next, I need to find the entity for the position "Governor of Florida" to use it in the query. I will search for the entity "Governor of Florida".

[Tool]
Top 10 entity alternatives:
1. Governor of Florida, also known as Florida Governor (wd:Q20198851): head of state and of government of the U.S. state of Florida
2. Lieutenant Governor of Florida (wd:Q913797): second highest ranking official of the executive branch of the state government of the state of Florida
3. Florida Board of Governors (wd:Q5461233): Governing board for the State University System of Florida
4. Governor of the Territory of Florida (wd:Q47444259)
5. Royal Governor of La Florida (wd:Q30077894)
6. John Milton, also known as John Milton, Confederate Governor of Florida (wd:Q289710): Governor of Florida (1807-1865), politician, lawyer
7. Broward, Napoleon Bonaparte (1857-1910), governor of Florida (wd:Q103847765): encyclopedia article
8. Florida governor orders reinsertion of feeding tube (wd:Q79237376): scientific article published on 01 November 2003
9. Milton, John (1807-1865), Confederate governor of Florida (wd:Q103871575): encyclopedia article
10. Call, Richard Keith (1792-1862), territorial governor of Florida (wd:Q103848766): encyclopedia article

[Assistant] The entity for the position "Governor of Florida" is wd:Q20198851. Now I will query for the person who currently holds this position using the property "position held" (wdt:P39).

[Tool]
Got 10 rows and 2 columns:
| person                            | personLabel               |
| --------------------------------- | ------------------------- |
| LeRoy Collins (wd:Q162497)        | LeRoy Collins (en)        |
| Fred P. Cone (wd:Q162590)         | Fred P. Cone (en)         |
| Jeb Bush (wd:Q221997)             | Jeb Bush (en)             |
| John Milton (wd:Q289710)          | John Milton (en)          |
| Ron DeSantis (wd:Q3105215)        | Ron DeSantis (en)         |
| Abraham K. Allison (wd:Q330147)   | Abraham K. Allison (en)   |
| Park Trammell (wd:Q358467)        | Park Trammell (en)        |
| Charley Eugene Johns (wd:Q362454) | Charley Eugene Johns (en) |
| Thomas Brown (wd:Q362462)         | Thomas Brown (en)         |
| William D. Bloxham (wd:Q362505)   | William D. Bloxham (en)   |

[Assistant] The query returned multiple persons who have held the position of Governor of Florida, but it does not specify who is the current governor. I need to refine the query to get the current governor. Usually, the property "end time" (wdt:P582) is used to indicate the end of a position held. I will filter for persons who hold the position without an end time or with the latest end time. I will try to find the current governor by filtering those who do not have an end time for the position held.

[Tool]
Got 1 row and 2 columns:
| person                     | personLabel       |
| -------------------------- | ----------------- |
| Ron DeSantis (wd:Q3105215) | Ron DeSantis (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the current state governor of Florida by selecting a person who holds the position of Governor of Florida (wd:Q20198851) without an end time qualifier, ensuring the position is currently held. The query also retrieves the English label of the person. The answer 'Ron DeSantis' matches the query result and is accurate. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?school ?schoolLabel WHERE {
  wd:Q127417 wdt:P69 ?school .
  FILTER ( ?school != wd:Q6861744 ) OPTIONAL {
    ?school rdfs:label ?schoolLabel FILTER ( LANG( ?schoolLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| school                                                             | schoolLabel                                               |
| ------------------------------------------------------------------ | --------------------------------------------------------- |
| United States Army Command and General Staff College (wd:Q1115050) | United States Army Command and General Staff College (en) |
| United States Military Academy (wd:Q9219)                          | United States Military Academy (en)                       |

Douglas MacArthur attended the following historically significant schools: United States Military Academy (West Point) and United States Army Command and General Staff College. The previously listed Milwaukee High School of the Arts is likely incorrect and has been excluded.

[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 school did douglas macarthur go to?

[Assistant]
To answer the question "What school did Douglas MacArthur go to?", I need to identify the entity for Douglas MacArthur in Wikidata and then find the property related to the school or educational institution he attended.

Step 1: Search for the entity "Douglas MacArthur" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Douglas MacArthur, also known as MacArthur, D. MacArthur, General MacArthur, General Douglas MacArthur (wd:Q127417): United States Army general in WWI, WWII and Korea (1880–1964), military officer, army officer
2. Douglas MacArthur (wd:Q47512806): painting by Howard Chandler Christy
3. Douglas MacArthur (wd:Q47509083): painting by Rudolphe Kiss
4. Douglas Macarthur (wd:Q110179636)
5. Douglas Allan Hamilton MacArthur, also known as Douglas MacArthur (wd:Q76272190): Peerage person ID=653481
6. Douglas MacArthur II (wd:Q269483): American diplomat (1909-1997), diplomat
7. General Douglas MacArthur (wd:Q5531839): artwork by Robert Dean
8. Douglas MacArthur Park (wd:Q49483971): park in Bexar County, Texas, United States of America
9. Douglas MacArthur Park (wd:Q49483969): park in Los Angeles County, California, United States of America
10. Douglas Hastings Macarthur (wd:Q5301578): New Zealand politician, politician

[Assistant] The entity for Douglas MacArthur, the United States Army general, is wd:Q127417. Now, I will search for properties related to the school or educational institution he attended. Common properties for this information include "educated at" or similar. I will search for properties of the entity Douglas MacArthur (wd:Q127417) related to education or school.

[Tool]
Top 10 property alternatives:
1. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as p/wdt): educational institution attended by subject, affiliation
2. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
3. child, also known as has son, kids, mother of, kid, issue (wd:P40 as p/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
4. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as p/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)
5. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
6. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
7. wears, also known as wore, wearing, uniform, outfit, garment (wd:P3828 as p/wdt): clothing or accessory worn on subject's body, item operated
8. 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)
9. 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)
10. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as p/wdt): the political party of which a person is or has been a member or otherwise affiliated, member of

No other items found

[Assistant] The property "educated at" (wdt:P69) is the relevant property for the school or educational institution attended by Douglas MacArthur. Now, I will construct a SPARQL query to retrieve the schools Douglas MacArthur attended using this property.

[Tool]
Got 3 rows and 2 columns:
| school                                                             | schoolLabel                                               |
| ------------------------------------------------------------------ | --------------------------------------------------------- |
| United States Army Command and General Staff College (wd:Q1115050) | United States Army Command and General Staff College (en) |
| Milwaukee High School of the Arts (wd:Q6861744)                    | Milwaukee High School of the Arts (en)                    |
| United States Military Academy (wd:Q9219)                          | United States Military Academy (en)                       |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the schools Douglas MacArthur attended using the property wdt:P69. However, the result includes 'Milwaukee High School of the Arts,' which is unlikely to be correct for Douglas MacArthur given his historical context (born in 1880). This suggests that the data might be conflated or incorrect in Wikidata. It would be better to refine the query or verify the data source to exclude unlikely or incorrect entries. Additionally, the answer should clarify that the United States Military Academy (West Point) is the primary and historically significant institution he attended. The query and answer should focus on historically accurate and relevant educational institutions.

[Assistant]
Thank you for the feedback. I will refine the query to focus on historically relevant and significant educational institutions attended by Douglas MacArthur. Since he is a historical figure primarily known for attending the United States Military Academy (West Point), I will check if there are any qualifiers or additional information that can help filter out unlikely or incorrect entries.

I will first check if there are any qualifiers or statements related to the "educated at" property for Douglas MacArthur that might provide additional context such as dates or types of education. This can help filter out irrelevant entries.

[Tool]
Got 3 rows and 3 columns:
| subject                        | property              | object                                                             |
| ------------------------------ | --------------------- | ------------------------------------------------------------------ |
| Douglas MacArthur (wd:Q127417) | educated at (wdt:P69) | United States Military Academy (wd:Q9219)                          |
| Douglas MacArthur (wd:Q127417) | educated at (wdt:P69) | United States Army Command and General Staff College (wd:Q1115050) |
| Douglas MacArthur (wd:Q127417) | educated at (wdt:P69) | Milwaukee High School of the Arts (wd:Q6861744)                    |

[Assistant]
The "educated at" property for Douglas MacArthur includes three institutions: United States Military Academy, United States Army Command and General Staff College, and Milwaukee High School of the Arts. There are no qualifiers directly visible here to help filter out the unlikely entry.

Given the historical context, the United States Military Academy (West Point) is the primary and most relevant institution. The United States Army Command and General Staff College is also relevant as a military education institution. Milwaukee High School of the Arts is likely incorrect or unrelated.

I will refine the query to exclude Milwaukee High School of the Arts by filtering out that specific entity. Then I will provide the answer focusing on the historically significant institutions.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the schools Douglas MacArthur attended, excluding the incorrect Milwaukee High School of the Arts. The answer is accurate and complete, listing the United States Military Academy and the United States Army Command and General Staff College. The query uses appropriate properties and filters, and the labels are provided in English as optional information. No further refinement is needed.