PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK {
  wd:Q5513 wdt:P2046 ?areaBaikal .
  wd:Q5525 wdt:P2046 ?areaBear .
  FILTER ( ?areaBaikal > ?areaBear )
}

Yes, Lake Baikal is bigger than the Great Bear Lake. Lake Baikal has an area of 31,722 km², while Great Bear Lake has an area of 31,153 km².

[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] Is Lake Baikal bigger than the Great Bear Lake?

[Assistant]
To answer whether Lake Baikal is bigger than the Great Bear Lake, I need to:

1. Identify the entities for "Lake Baikal" and "Great Bear Lake" in Wikidata.
2. Find the property representing the area (surface area) of lakes.
3. Retrieve the area values for both lakes.
4. Compare the two values within SPARQL.

Let's start by searching for the entities "Lake Baikal" and "Great Bear Lake".

[Tool]
Top 10 entity alternatives:
1. Lake Baikal, also known as Baikal, Baikal Sea, Baykal (wd:Q5513): freshwater rift lake in southern Siberia, Russia
2. Lake Baikal (wd:Q123738053): Canadian animated short film, directed by Alisi Telengut and released in 2023
3. Lake Baikal (wd:L300494-S1)
4. Baikal Seal, also known as Pusa sibirica, Phoca sibirica, Nerpa, Lake baikal seal (wd:Q4535): species of seal
5. Lake Baikal mountain vole, also known as Alticola olchonensis (wd:Q1768026): species of mammal
6. Battle of Lake Baikal (wd:Q11153274): 1918 battle of the Russian Civil War
7. 1862 lake Baikal earthquake (wd:Q4191068)
8. Ambitions for Lake Baikal (wd:Q58990558): scientific article published in Nature
9. Ice cave on Olkhon island, also known as Lake Baikal Ice Cave (wd:Q123524221): ice cave on Lake Baikal, Siberia, Russia
10. Lake Baikal in Crisis (wd:Q116758151): scientific article published in 2022

[Tool]
Top 10 entity alternatives:
1. Great Bear Lake, also known as Sahtú (wd:Q5525): large glacial lake in the Northwest Territories, Canada
2. Great Bear Lake (wd:Q33257595): lake in Van Buren County, Michigan, USA
3. Great Bear Lake (wd:Q39073453): 2009 novel by Erin Hunter
4. Great Bear Lake Airport, also known as DAS (wd:Q3913216): airport in Northwest Territories, Canada
5. Great Bear Lake Drain (wd:Q33194757): canal in Van Buren County, Michigan, United States of America
6. Great Bear Lake Dam (wd:Q34818758): dam in Webster County, Missouri, United States of America
7. Great Bear Lake 16 (wd:Q22424486): First Nation reserve in British Columbia, Canada
8. Great Bear Lake Water Aerodrome (wd:Q3913618): airport in Northwest Territories, Canada
9. Radium Mine, Great Bear Lake (wd:Q59504373): painting by A.Y. Jackson
10. Radium Mine, Great Bear Lake (wd:Q59552554): painting by A.Y. Jackson (NGA Canada 4542r)

[Tool]
Top 10 property alternatives:
1. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): area occupied by an object
2. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): specialization of a person or organization; see P106 for the occupation, interested in
3. applies to part, also known as when viewed as, valid for part, section, region, per (wd:P518 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): part, aspect, or form of the item to which the claim applies
4. applies to jurisdiction, also known as belongs to jurisdiction, applies to territorial jurisdiction, applies to region, applies to place, applies to geographic place (wd:P1001 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), significant place, characteristic of, operating area
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. water area (wd:P8887 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): area/surface of a geographical entity that is covered by water, area
7. interested in, also known as area of interest, area of research, field of interest, field of research, field of study (wd:P2650 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): item of special or vested interest to this person or organisation
8. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
9. 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 prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/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
10. electoral district, also known as riding, seat, ward, electoral area, electorate (wd:P768 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): electoral district this person is representing, or of the office... or "office contested" (P541) or "candidacy in election" (P3602)

[Tool]
Got 2 rows and 3 columns:
| lake                       | lakeLabel            | area                |
| -------------------------- | -------------------- | ------------------- |
| Lake Baikal (wd:Q5513)     | Lake Baikal (en)     | 31722 (xsd:decimal) |
| Great Bear Lake (wd:Q5525) | Great Bear Lake (en) | 31153 (xsd:decimal) |

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The answer in the human-readable output contradicts the execution result of the SPARQL query. The SPARQL ASK query correctly checks if Lake Baikal's area is greater than Great Bear Lake's area, and the result is True. However, the answer text says 'No, Lake Baikal is not bigger than the Great Bear Lake,' which is incorrect. The answer should be 'Yes, Lake Baikal is bigger than the Great Bear Lake.' Please correct the human-readable answer to match the SPARQL result.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct for the question asked. It uses an ASK query to directly compare the surface areas (P2046) of Lake Baikal (wd:Q5513) and Great Bear Lake (wd:Q5525), returning True if Lake Baikal is larger. The query returns the correct boolean answer, and all computation is done within SPARQL. No unnecessary labels or extra computation outside SPARQL is performed. The answer provided matches the query result and includes relevant area values for context. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?country ) AS ?count ) WHERE {
  ?country wdt:P31 wd:Q6256 .
  ?country wdt:P30 wd:Q46 .
}

Got 1 row and 1 column:
| count        |
| ------------ |
| 45 (xsd:int) |

There are 45 countries in Europe according to Wikidata.

[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] How many countries are there in Europe?

[Assistant]
To answer this question, I need to:

1. Identify the entity for "Europe" in Wikidata.
2. Identify the property that links countries to continents (likely "continent" or "located in the continent").
3. Identify the entity for "country" in Wikidata.
4. Write a SPARQL query to count the number of countries that are located in Europe.

First, I'll search for the entity "Europe" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Europe, also known as European continent, The Old Continent, Old Continent, European Continent, European Peninsula (wd:Q46): continent in the Northern Hemisphere
2. European Union, also known as E.U., Europe, eu (wd:Q458): political and economic union of 27 European states
3. Europa, also known as Europe, Evropa (wd:Q165170): Phoenician character in Greek mythology, daughter of Agenor
4. Europe (wd:Q185144): Swedish rock band
5. Europe (wd:Q579160): National anthem of Kosovo
6. Europe (wd:Q766618): Paris Métro station
7. Europe (wd:Q1163173): international racing sailing class
8. Europe (wd:Q198697): 1983 debut studio album by Europe
9. James Reese Europe, also known as Jim Europe, James R. Europe, James R. Europe, Sr., Lieut. Jim Europe, James Europe (wd:Q1280917): American jazz musician and United States Army officer (1880-1919), jazz musician, mandolinist, bandleader, conductor, composer, pianist
10. Europe (wd:Q612228): French magazine

[Assistant]
The entity for the continent "Europe" is wd:Q46.

Next, I need to identify the property that links a country to a continent. I'll search for properties related to "continent".

[Tool]
Top 10 property alternatives:
1. continent (wd:P30 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): continent of which the subject is a part, located in/on physical feature
2. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
3. 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 prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
4. applies to part, also known as when viewed as, valid for part, section, region, per (wd:P518 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): part, aspect, or form of the item to which the claim applies
5. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
6. 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 prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/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
7. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
8. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): place where a statement is valid, applies to part
9. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
10. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): the object is a country that recognizes the subject as its citizen, country

[Assistant]
The property "continent" (wdt:P30) is used to indicate the continent to which a subject (such as a country) belongs.

Now, I need to identify the entity for "country" in Wikidata, to ensure I only count entities that are countries. I'll search for "country" as an entity.

[Tool]
Top 10 entity alternatives:
1. country, also known as countries (wd:Q6256): distinct territorial body or political entity
2. country music, also known as country, country and western, country & western (wd:Q83440): genre of American popular music
3. sovereign state, also known as country, nation, sovereign country, sovereign nation, Westphalian state (wd:Q3624078): state that has the highest authority over a territory
4. Dennis Rodman, also known as Rodzilla, Psycho, The Worm, Worm, Country (wd:Q201608): American basketball player, professional wrestler, basketball player, amateur wrestler, basketball coach, voice actor, film actor, actor
5. Country (wd:Q1754454): 1984 film directed by Richard Pearce
6. .country (wd:Q20571777): top-level domain
7. Country (wd:Q5177190): music album by Anne Murray
8. Country (wd:Q48816259): People in rural areas of the United States
9. Country (wd:Q26779428): Chilean political party founded in 2016
10. country (wd:Q22828881)

[Assistant]
The entity for "country" is wd:Q6256. This is the general class for countries.

To count the number of countries in Europe, I need to find all entities that are instances of "country" (wd:Q6256) and have "Europe" (wd:Q46) as their continent (wdt:P30).

I'll now write a SPARQL query to count these entities.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 45 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly counts the number of countries (instances of wd:Q6256) that are located on the continent of Europe (wd:Q46) using the appropriate properties. The query returns the actual count as required, and there are no issues with the use of labels or computation outside of SPARQL. The answer is accurate and complete for the user's question.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?museum ?museumLabel WHERE {
  VALUES ?scream {
    wd:Q471379 wd:Q18891156 wd:Q18891158 wd:Q18891155 wd:Q18891157
  }
  ?scream wdt:P195 ?museum .
  FILTER ( STRSTARTS( STR( ?museum ) , "http://www.wikidata.org/entity/" ) ) OPTIONAL {
    ?museum rdfs:label ?museumLabel FILTER ( lang( ?museumLabel ) = "en" )
  }
}

Multiple versions of The Scream by Edvard Munch are held in different museums. According to Wikidata, the National Museum of Art, Architecture and Design and the Munch Museum both exhibit versions of The Scream. The query excludes any results that do not correspond to valid museum entities.

[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] Which museum exhibits The Scream by Munch?

[Assistant]
Let's break down the question:

1. We need to identify the artwork "The Scream" by Edvard Munch in Wikidata.
2. We need to find which museum currently exhibits this artwork.

First, I'll search for "The Scream" in Wikidata to get its entity.

[Tool]
Top 10 entity alternatives:
1. The Scream, also known as Scream (wd:Q471379): group of paintings by Edvard Munch
2. The Scream (wd:Q1188720): album by Siouxsie and the Banshees
3. De Schreeuw, also known as The Scream (wd:Q920580): sculpture by Jeroen Henneman
4. The Scream (wd:Q1101680): American hard rock band
5. The Scream, also known as Scream (wd:Q4241005): 1993 Azerbaijani war film by Jeyhun Mirzayev
6. The Scream (wd:Q18891158): painting by Edvard Munch (1910)
7. The Scream (wd:Q18891156): painting by Edvard Munch (1893)
8. The Scream (wd:Q18891155): pastel drawing by Edvard Munch (1893)
9. The Scream (wd:Q18891157): pastel by Edvard Munch (1895)
10. The Scream (wd:Q67151412): 2019 short film directed by Francesco Barilli

[Assistant]
There are several versions of "The Scream" by Edvard Munch, including paintings and pastels from different years. The main group is wd:Q471379, and individual versions include wd:Q18891156 (1893 painting), wd:Q18891158 (1910 painting), wd:Q18891155 (1893 pastel), and wd:Q18891157 (1895 pastel).

To answer your question, I should focus on the group entity (wd:Q471379) to see which museums are associated with any version of "The Scream." Next, I need to find the property that links an artwork to the museum where it is exhibited.

I'll search for properties related to "museum" or "exhibited at."

[Tool]
Top 10 property alternatives:
1. dedicated heritage entity, also known as associated heritage entity, has museum (wd:P8786 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): heritage entity dedicated to or associated with the item's subject
2. collection, also known as editorial collection, series, repository, museum collection, held by (wd:P195 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): art, museum, archival, or bibliographic collection of which the subject is part, part of
3. museum-digital place ID (wd:P9957 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): identifier for a place in museum-digital's md:term vocabulary
4. has works in the collection, also known as has items in the collection, works in collection, work in collection, museum housing this person's work, items in the collection (wd:P6379 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): collection that has works of this person or organisation (use archives at [P485] for archives)
5. Upper Austria Museum ID, also known as Museen in OÖ ID, Museum in upper Austria ID, ooemuseen ID (wd:P7858 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): Identifier to link Wikidata with the Upper Austrian database of museums
6. collection items at, also known as specimens at, collections at, collection objects at (wd:P11146 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): institution (museum, collection, etc.) holding items (specimens ...ubject (e.g. site). (use archive location P485 for the archives)
7. Museum Day ID (wd:P8831 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): identifier for a museum on the Smithsonian Magazine Museum Day website
8. offers view on, also known as has views of, view to, views to, views of, view of (wd:P3173 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): things, places this place offers views on
9. museum-digital person ID (wd:P12597 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): identification of a person or institution in the vocabulary of the digital museum
10. Museo Italia ID, also known as Museo Italia identifier, Museoitalia ID, Museionline.info ID (wd:P12016 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): identifier for a touristic attraction in Italy on the website museionline.info (or "Museo italia")

[Assistant]
The most relevant property for finding which museum exhibits an artwork is likely "collection" (wd:P195), which indicates the museum or collection holding the artwork.

Next, I'll check which museums are linked to the group entity "The Scream" (wd:Q471379) and its individual versions using the "collection" property (wd:P195). I'll start with the group entity.

[Tool]
Got 1 row and 3 columns:
| subject                 | property              | object                                                        |
| ----------------------- | --------------------- | ------------------------------------------------------------- |
| The Scream (wd:Q471379) | collection (wdt:P195) | National Museum of Art, Architecture and Design (wd:Q1132918) |

[Assistant]
The group entity "The Scream" (wd:Q471379) is associated with the National Museum of Art, Architecture and Design (wd:Q1132918) via the "collection" property.

To provide a complete answer, I'll also check if any individual versions of "The Scream" are associated with other museums, since there are several versions (paintings and pastels from different years). I'll check the 1893 painting (wd:Q18891156), the 1910 painting (wd:Q18891158), the 1893 pastel (wd:Q18891155), and the 1895 pastel (wd:Q18891157).

[Tool]
Got 1 row and 3 columns:
| subject                   | property              | object                                                        |
| ------------------------- | --------------------- | ------------------------------------------------------------- |
| The Scream (wd:Q18891156) | collection (wdt:P195) | National Museum of Art, Architecture and Design (wd:Q1132918) |

[Tool]
Got 1 row and 3 columns:
| subject                   | property              | object                    |
| ------------------------- | --------------------- | ------------------------- |
| The Scream (wd:Q18891158) | collection (wdt:P195) | Munch Museum (wd:Q844926) |

[Tool]
Got 1 row and 3 columns:
| subject                   | property              | object                    |
| ------------------------- | --------------------- | ------------------------- |
| The Scream (wd:Q18891155) | collection (wdt:P195) | Munch Museum (wd:Q844926) |

[Tool]
Got 1 row and 3 columns:
| subject                   | property              | object      |
| ------------------------- | --------------------- | ----------- |
| The Scream (wd:Q18891157) | collection (wdt:P195) | _:bn1336333 |

[Tool]
Got 1 row and 1 column:
| museum      |
| ----------- |
| _:bn1336333 |

[Tool]
Got 1 row and 2 columns:
| museum      | museumLabel |
| ----------- | ----------- |
| _:bn1336333 |             |

[Assistant]
Here’s what I found:

- The 1893 painting (wd:Q18891156) is in the National Museum of Art, Architecture and Design (wd:Q1132918).
- The 1910 painting (wd:Q18891158) and the 1893 pastel (wd:Q18891155) are in the Munch Museum (wd:Q844926).
- The 1895 pastel (wd:Q18891157) is linked to a blank node, which means its museum is not clearly specified in Wikidata.

Therefore, the main museums exhibiting versions of "The Scream" by Munch are the National Museum of Art, Architecture and Design and the Munch Museum.

I will now write a SPARQL query that returns all museums (with their IRIs and optional labels) that exhibit any of the main versions of "The Scream" by Edvard Munch.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is mostly correct and retrieves the museums that exhibit versions of The Scream by Edvard Munch. However, the result includes a blank node (_:bn1336333) which likely does not correspond to a valid museum entity. The query should be refined to filter out such blank nodes, ensuring only valid museum IRIs are returned. Additionally, the answer should clarify that multiple versions of The Scream are held in different museums, as reflected in the query. Otherwise, the approach and use of entities and properties are appropriate.

[Assistant]
Thank you for the feedback. To address the issues:

1. I will refine the SPARQL query to exclude blank nodes, ensuring only valid museum IRIs (i.e., those starting with "http://www.wikidata.org/entity/") are returned.
2. I will clarify in the answer that multiple versions of The Scream are held in different museums, as reflected in the query.

To filter out blank nodes, I can use the FILTER(STRSTARTS(STR(?museum), "http://www.wikidata.org/entity/")) clause.

Here is the improved query and answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies all relevant versions of "The Scream" by Edvard Munch and retrieves the museums that exhibit them. The query returns the IRIs of the museums as required, and the answer accurately reflects the query results. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?mayor WHERE {
  wd:Q33935 wdt:P6 ?mayor
}

The mayor of Tel Aviv is Ron Huldai (wd:Q114760).

[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 mayor of Tel Aviv?

[Assistant]
Let's break down the question:

1. The user wants to know the current mayor of Tel Aviv.
2. We need to identify the entity for "Tel Aviv" and the property for "mayor".

First, I will search for the entity "Tel Aviv" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Tel Aviv, also known as Tel Aviv City, TLV, Tel Aviv-Jafo, Tel-Aviv Jaffa, Tel Aviv-Jaffa (wd:Q33935): city in Israel
2. Telefon Tel Aviv (wd:Q768658): American band
3. Tel Aviv (wd:Q15755268): journal
4. Tel Aviv (wd:Q6583053): Israeli painter, painter
5. Tel Aviv (wd:Q16131234): song by Omer Adam
6. Tel Aviv (wd:Q91946708): photograph by Liselotte Grschebina 343498
7. Tel Aviv (wd:Q91939097): visual artwork by Liselotte Grschebina 343450
8. Tel Aviv (wd:Q91932450): photograph by Liselotte Grschebina 343501
9. Tel Aviv (wd:Q76626599): photograph by Liselotte Grschebina
10. Tel Aviv (wd:Q103969725): encyclopedia article

[Assistant]
The most relevant entity for the city of Tel Aviv is wd:Q33935.

Next, I need to find the property that represents the "mayor" of a city. I will search for properties related to "mayor".

[Tool]
Top 10 property alternatives:
1. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
2. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): official with the highest formal authority in a country/state, director / manager, chairperson
3. rector, also known as chancellor, university president, Rector (academia), president (wd:P1075 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): senior official in an educational institution., director / manager, chairperson
4. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): presiding member of an organization, group or body, director / manager, significant person
5. successful candidate, also known as election winner, winning candidate, winner of election, election won by, elected (wd:P991 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): person(s) or political organization(s) elected after the election, candidate, winner
6. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): persons who hold and/or held the position
7. position held, also known as function, held position, holds position, job, office held (wd:P39 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): subject currently or formerly holds the object position or public office
8. legislative body, also known as aboriginal council, Zila, Tehsil, rural council, representative body (wd:P194 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): legislative body governing this entity; political institution wi...ted representatives, such as a parliament/legislature or council
9. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): the object is a country that recognizes the subject as its citizen, country
10. elected in, also known as re-elected in, election (wd:P2715 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): election in which a person gained a position (as qualifier), or a position or legislative term is/was elected (as main value)

[Assistant]
The property "head of government" (wd:P6) is the most relevant for finding the mayor of a city.

Now, I will construct a SPARQL query to find the current head of government (mayor) of Tel Aviv (wd:Q33935). I will also try to retrieve the label of the person for clarity.

[Tool]
Got 1 row and 2 columns:
| mayor                   | mayorLabel      |
| ----------------------- | --------------- |
| Ron Huldai (wd:Q114760) | Ron Huldai (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the current mayor of Tel Aviv by querying the 'head of government' (wdt:P6) property for the entity Tel Aviv (wd:Q33935). The answer matches the expected result, and the query returns the IRI of the mayor as required. No further refinement is necessary.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK {
  wd:Q128160 wdt:P585 ?dateCrisis .
  wd:Q191721 wdt:P585 ?dateBay .
  FILTER ( ?dateCrisis < ?dateBay )
}

No, the Cuban Missile Crisis was not earlier than the Bay of Pigs Invasion. The Bay of Pigs Invasion occurred in April 1961, while the Cuban Missile Crisis occurred in 1962.

[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] Was the Cuban Missile Crisis earlier than the Bay of Pigs Invasion?

[Assistant]
Let's break down the question:

1. We need to identify the entities for "Cuban Missile Crisis" and "Bay of Pigs Invasion".
2. We need to find the dates these events occurred.
3. We need to compare the dates to determine if the Cuban Missile Crisis was earlier than the Bay of Pigs Invasion.
4. Since the question is a True/False question, the final query should be an ASK query.

First, I will search for the entities "Cuban Missile Crisis" and "Bay of Pigs Invasion" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Cuban Missile Crisis (wd:Q128160): October 1962 confrontation between the Soviet Union, Cuba and the United States
2. Cuban Missile Crisis (wd:Q64117091): scholarly article
3. Cuban Missile Crisis (wd:Q124064455): 2005 video game
4. Cuban Missile Crisis (wd:Q108371818): video game series
5. Cuban Missile Crisis: The Aftermath (wd:Q1619053): 2005 video game
6. 13 Days: The Cuban Missile Crisis, also known as 13 Days (wd:Q56297685): Movie
7. Roots of the Cuban Missile Crisis (wd:Q7366662): 2001 film
8. Cuban Missile Crisis: The Soviet Story (wd:Q58537372)
9. Anatomy of the Cuban Missile Crisis (wd:Q58521477)
10. Reflections on the Cuban Missile Crisis (wd:Q86291856): 1987 book by Raymond L. Garthoff

[Tool]
Top 10 entity alternatives:
1. Bay of Pigs invasion (wd:Q191721): failed landing operation of Cuba in 1961
2. Bay of Pigs (wd:Q208508): bay on the island of Cuba
3. Bay of Pigs (wd:Q115806181): board wargame published in 1976
4. Bay of Pigs (wd:Q4874219): album by Destroyer
5. Bay of Pigs (wd:Q114489712): episode of The Practice (S4 E9)
6. Bay of Pigs Museum, also known as Brigade 2506 Museum and Library (wd:Q4874221): museum in Florida
7. Bay of Pigs Monument (wd:Q64578297): Monument in Little Havana, Miami, commemorates those lost in the 1961 Bay of Pigs Invasion.
8. Bay of Pigs Redux? (wd:Q129230462): scholarly article
9. Bay of Married Pigs (wd:Q110291915): Sex and the City, Season 1, Episode 3
10. The Bay of Pigs (wd:Q58554035)

[Tool]
Top 10 property alternatives:
1. point in time, also known as at time, as of, year, when, time of event (wd:P585 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
2. valid in period, also known as valid in season, valid for season, valid for period, valid for, time period (wd:P1264 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): time period when a statement is valid
3. set in period, also known as time period set in, time period of setting, time period, takes place in time, takes place during (wd:P2408 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): historical, contemporary, or future period, year, century or day...rk or genre is set in or event featured in the story of the work
4. time period, also known as oge (oge akụkọ ihe mere eme ma ọ...ụ mere ma ọ bụ nke ejikọtara ya. (wd:P2348 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): time period (historic period or era, sports season, theatre seas...c.) in which the subject occurred or with which it is associated
5. start time, also known as start date, since, valid, join time, joined (wd:P580 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): time an entity begins to exist or a statement starts being valid, point in time
6. date depicted, also known as depicted date, temporal coverage, shown as at date, depicts date, depicted time (wd:P2913 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): date represented in a work (for narrative works use P2408)
7. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
8. history of topic, also known as history of the topic, timeline of subject, timeline of the subject, timeline of the topic, timeline of topic (wd:P2184 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): item about the historical development of a subject's topic, exam... To list key events of the topic, use "significant event" (P793), studied in
9. latest date, also known as terminus ante quem, prior to, on or before this date, no later than, max date (wd:P1326 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): latest possible time that something could have occurred. Use as qualifier for other date properties
10. recording date, also known as recorded date, record date, recdate, rec. date, date of recording (wd:P10135 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): the date when a recording was made, inception

[Tool]
Top 10 property alternatives:
1. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
2. end period, also known as until period (wd:P3416 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): last period in which the statement is still valid (including the period-value)
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
4. work period (end), also known as floruit end, floruit (end of work), flourished (end), retirement, work ends (wd:P2032 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): end of period during which a person or group flourished (fl. = "floruit") in their professional activity, end time, floruit
5. destination of transfer, also known as recipient, to, target, receiver, end point (wd:P12694 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): entity that a transferred item comes to be associated with as a result of this process
6. terminus, also known as end point, terminating connection, termini, terminuses, trailhead (wd:P559 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): the feature (intersecting road, train station, etc.) at the end of a linear feature
7. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
8. end cause, also known as cause of ending, ended by, end has cause, end reason, reason for end (wd:P1534 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): qualifier used together with the end date qualifier (P582) to specify the reason for the end
9. point in time, also known as at time, as of, year, when, time of event (wd:P585 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
10. last line, also known as closing line, ending, excipit, final line, final sentence (wd:P3132 as prn/pqv/psv/prv/pqn/ps/wdtn/p/pq/pr/psn/wdt): last line (excipit) of a poem, last sentence of a novel, etc.

[Tool]
Got 2 rows and 3 columns:
| event                             | eventLabel                | date                                |
| --------------------------------- | ------------------------- | ----------------------------------- |
| Cuban Missile Crisis (wd:Q128160) | Cuban Missile Crisis (en) | 1962-01-01T00:00:00Z (xsd:dateTime) |
| Bay of Pigs invasion (wd:Q191721) | Bay of Pigs invasion (en) | 1961-04-20T00:00:00Z (xsd:dateTime) |

[Assistant]
I have found the following information:
- The Cuban Missile Crisis (wd:Q128160) has a date of 1962-01-01.
- The Bay of Pigs Invasion (wd:Q191721) has a date of 1961-04-20.

To answer the question "Was the Cuban Missile Crisis earlier than the Bay of Pigs Invasion?", I need to check if the date of the Cuban Missile Crisis is before the date of the Bay of Pigs Invasion.

I will now construct an ASK query that checks if the date of the Cuban Missile Crisis is earlier than the date of the Bay of Pigs Invasion.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct for this question. It uses an ASK query to directly compare the dates of the Cuban Missile Crisis and the Bay of Pigs Invasion using the appropriate Wikidata entities and the 'point in time' property (wdt:P585). The query returns False, which matches the provided answer and historical facts. The query also returns only a boolean, as required for True/False questions. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK {
  wd:Q7934 wdt:P570 ?dateOfDeath
}

No, Frank Herbert is not still alive. He has a date of death recorded in Wikidata.

[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] Is Frank Herbert still alive?

[Assistant]
Let's break down the question:

1. The question is about Frank Herbert, specifically whether he is still alive.
2. I need to identify the entity for Frank Herbert in Wikidata.
3. Then, I need to check if there is a date of death property for him, or if he is categorized as a living person.

First, I'll search for the entity "Frank Herbert" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Frank Herbert, also known as Jr. Franklin Patrick Herbert, Jr. Franklin Herbert, Frank Patrick Herbert, Jr. Frank Patrick Herbert, Franklin Herbert (wd:Q7934): American writer (1920–1986), science fiction writer, prose writer, photographer, journalist, novelist, writer
2. Frank Herbert, also known as Francis Xavier Herbert (wd:Q5487218): American politician, politician, teacher
3. Herbert Frank (wd:Q102182447): Ph.D. Humboldt-Universität zu Berlin 1967
4. Herbert Frank (wd:Q106400255)
5. Herbert Frank (wd:Q15713780): Austrian jurist, jurist
6. Herbert Frank (wd:Q94836280): opinion journalist, engineer
7. Herbert Frank (wd:Q94855814): journalist, art critic, writer
8. Frank Herbert (wd:Q107740264): biographical book
9. Frank Herbert (wd:Q112366531)
10. Frank Herbert (wd:Q75716987): Peerage person ID=300069

[Assistant]
The most likely entity for the science fiction writer Frank Herbert is wd:Q7934. Now, I need to check if he is still alive. In Wikidata, this is typically determined by the presence or absence of a date of death (P570).

I will construct an ASK query to check if there is no date of death for wd:Q7934 (Frank Herbert), which would mean he is still alive.

[Tool] True

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct for this True/False question. It uses an ASK query to check if Frank Herbert (wd:Q7934) has a date of death (wdt:P570) property, which directly answers whether he is still alive. The answer and explanation are accurate and complete. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK {
  wd:Q11817 wdt:P607 ?war .
  ?war wdt:P31 wd:Q198
}

Yes, U.S. president Andrew Jackson was involved in a war (specifically, the War of 1812).

[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] Was U.S. president Jackson involved in a war?

[Assistant]
Let's break down the question:

1. "U.S. president Jackson" refers to Andrew Jackson, who was the 7th president of the United States.
2. "Involved in a war" means we need to check if Andrew Jackson participated in any war, likely as a military officer or in some official capacity.

Step 1: Find the Wikidata entity for Andrew Jackson.
Step 2: Find properties related to involvement in wars (such as "conflict", "military service", etc.).
Step 3: Check if Andrew Jackson is linked to any war entity via such properties.

I'll start by searching for "Andrew Jackson" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Andrew Jackson, also known as Old Hickory, President Andrew Jackson, President Jackson, A. Jackson, General Andrew Jackson (wd:Q11817): president of the United States from 1829 to 1837, military officer, statesperson, politician, lawyer, judge
2. Andrew Jackson, also known as Andrew Jackson (actor) (wd:Q2846642): television actor, Canadian actor, actor
3. Andy Jackson, also known as Andrew Jackson (wd:Q3816215): British recording engineer, audio engineer, musician
4. Andrew Jackson (wd:Q4343568): artwork by Clark Mills
5. Andrew Jackson (wd:Q22076700): Australian special effects artist, special effects artist
6. Andrew Jackson, also known as Andrew Jackson, AL (wd:Q4757447): unincorporated community in Alabama
7. Andrew Jackson (wd:Q4757451): American football player (running back, born 1964), American football player
8. Andrew Jackson (wd:Q16844406): American football player (linebacker, born 1992), American football player
9. Andrew D. Jackson, also known as Andrew Jackson, Andrew D Jackson, A. D. Jackson, A. D Jackson (wd:Q2652615): American physicist, university teacher, nuclear physicist, physicist
10. Andrew Jackson Jr., also known as Andrew Donelson, Andrew Donelson Jackson, Andrew Jackson (wd:Q94643028): adopted son of U.S. President Andrew Jackson

[Assistant]
The correct entity for U.S. president Andrew Jackson is wd:Q11817.

Next, I need to find properties related to involvement in wars, such as "conflict", "military service", or similar, that could link Andrew Jackson to any war entity.

I'll search for properties related to "war" and "conflict".

[Tool]
Top 10 property alternatives:
1. conflict, also known as war, theatre (military), theater (military), participated in conflict, military conflict (wd:P607 as p/wdt): battles, wars or other military engagements in which the person or item participated, participant in
2. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as p/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
3. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as p/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
4. medical condition, also known as disability, suffers from, suffer from, sickness, paralympic disability (wd:P1050 as p/wdt): any state relevant to the health of an organism, including diseases and positive conditions
5. 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
6. military branch, also known as unit branch, service branch, formation, branch (wd:P241 as p/wdt): branch to which this military unit, award, office, or person belongs, e.g. Royal Navy, part of
7. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as p/wdt): significant or notable events associated with the subject
8. 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
9. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
10. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                    | property            | object                  |
| -------------------------- | ------------------- | ----------------------- |
| Andrew Jackson (wd:Q11817) | conflict (wdt:P607) | War of 1812 (wd:Q26013) |

[Tool]
Got 543 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                                       | object                                                                                |
| ----------------------- | ---------------------------------------------- | -------------------------------------------------------------------------------------------- |
| War of 1812 (wd:Q26013) | instance of (wdt:P31)                          | war (wd:Q198)                                                                                |
| War of 1812 (wd:Q26013) | Commons category (wdt:P373)                    | War of 1812                                                                                |
| War of 1812 (wd:Q26013) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/USS%20Constitution%20vs%20Guerriere.jpg> |
| War of 1812 (wd:Q26013) | part of (wdt:P361)                             | United Kingdom–United States relations (wd:Q1227237)                                         |
| War of 1812 (wd:Q26013) | location (wdt:P276)                            | North America (wd:Q49)                                                                       |
| War of 1812 (wd:Q26013) | described by source (wdt:P1343)                | Encyclopædia Britannica 11th edition (wd:Q867541)                                            |
| War of 1812 (wd:Q26013) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                                                                |
| War of 1812 (wd:Q26013) | different from (wdt:P1889)                     | wd:Q7968638                                                                                |
| War of 1812 (wd:Q26013) | start time (wdt:P580)                          | 1812-06-18T00:00:00Z (xsd:dateTime)                                                          |
| War of 1812 (wd:Q26013) | participant (wdt:P710)                         | United States (wd:Q30)                                                                       |
| ...                     | ...                                            | ...                                                                                |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct for the question. It uses an ASK query to check if Andrew Jackson (wd:Q11817) participated in any conflict (wdt:P607) that is an instance of war (wd:Q198). The answer is True, which matches historical knowledge. The query returns the IRI (in this case, a boolean), and no unnecessary computation is performed outside SPARQL. The output is correct and complete.