PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?country WHERE {
  wd:Q1771942 wdt:P159 ?hq .
  ?hq wdt:P17 ?country
}

Got 1 row and 1 column:
| country                |
| ---------------------- |
| United States (wd:Q30) |

The United Fruit Company had their headquarters in the United States.

[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] In which country did the United Fruit Company have their headquarters?

[Assistant]
Let's break down the question:

1. The main entity is "United Fruit Company".
2. We are looking for the country where its headquarters were located.
3. So, we need to find the entity for United Fruit Company, the property for headquarters location, and then the property for the country of that location.

First, I will search for the entity "United Fruit Company" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. United Fruit Company (wd:Q1771942): American corporation
2. United Fruit Company Building (wd:Q79310992): historic building in Wellington, New Zealand
3. United Fruit Company Infrastructure (wd:Q65591387): Tentative World Heritage Site in Colombia
4. Kossick v. United Fruit Company (wd:Q19089122): United States Supreme Court case
5. United Fruit Company Medal (obverse) (wd:Q122934149): bronze medal-sample by Paul Manship
6. United Fruit Company Medal (reverse) (wd:Q122934151): bronze medal-sample by Paul Manship
7. American Banana Company v. United Fruit Company (wd:Q19037455)
8. United Fruit Company strike of 1913 (wd:Q105962401)
9. United States v. Fruit Growers' Express Company (wd:Q19030798): United States Supreme Court case
10. United Surety Company v. American Fruit Product Company (wd:Q19041555)

[Assistant]
The correct entity for "United Fruit Company" is wd:Q1771942.

Next, I need to find the property that links a company to its headquarters location. I will search for properties related to "headquarters" in Wikidata.

[Tool]
Top 10 property alternatives:
1. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): seat of government of a country, province, state or other type of administrative territorial entity
3. organization directed by the office or position, also known as leader of, head of, leads, organization directed by, organization directed from the office (wd:P2389 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): organization which is directed by this office
4. employer, also known as working at, working for, working place, works at, works for (wd:P108 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person or organization for which the subject works or worked, affiliation
5. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
6. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
7. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location
8. represents, also known as represents organisation, stands for, symbolises, symbolizes, team for (wd:P1268 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): organization, individual, or concept that an entity represents
9. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
10. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity

[Assistant]
The property "headquarters location" (wd:P159) is the correct one to use for finding the city or town where the United Fruit Company's headquarters were located.

Now, I will check which entity is linked as the headquarters location for wd:Q1771942 (United Fruit Company) using property wd:P159.

[Tool]
Got 1 row and 3 columns:
| subject                            | property                         | object                  |
| ---------------------------------- | -------------------------------- | ----------------------- |
| United Fruit Company (wd:Q1771942) | headquarters location (wdt:P159) | New Orleans (wd:Q34404) |

[Assistant]
The headquarters location of the United Fruit Company is listed as New Orleans (wd:Q34404).

Next, I need to find out which country New Orleans is located in. For this, I will look for the property that links a city to its country. I will search for properties related to "country" in Wikidata.

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): place where a statement is valid, applies to part
2. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): the object is a country that recognizes the subject as its citizen, country
4. country, also known as sovereign state, state, land, host country (wd:P17 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): most specific known birth location of a person, animal or fictional character, location
7. continent (wd:P30 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): continent of which the subject is a part, located in/on physical feature
8. 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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/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
9. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): geographical place of publication of the edition (use 1st edition when referring to works), significant place
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/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

[Assistant]
The property "country" (wd:P17) is used to indicate the sovereign state that a city is in.

Now, I will check which country New Orleans (wd:Q34404) is located in using property wd:P17.

[Tool]
Got 1 row and 3 columns:
| subject                 | property          | object                 |
| ----------------------- | ----------------- | ---------------------- |
| New Orleans (wd:Q34404) | country (wdt:P17) | United States (wd:Q30) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( ?person ) AS ?count ) WHERE {
  ?person wdt:P157 wd:Q201377
}

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

According to Wikidata, Oscar Pistorius killed 1 person.

[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 people did Oscar Pistorius kill?

[Assistant]
Let's break down the question:

1. The question is about Oscar Pistorius and the number of people he killed.
2. First, I need to identify the entity for Oscar Pistorius in Wikidata.
3. Then, I need to find the relevant property for "killed" or "has killed" in Wikidata.
4. Finally, I will construct a query to count the number of people he killed.

Let's start by searching for the entity "Oscar Pistorius".

[Tool]
Top 10 entity alternatives:
1. Oscar Pistorius, also known as Oscar Leonard Carl Pistorius, Fastest man on no legs, Blade Runner (wd:Q201377): South African sprinter and convicted murderer (born 1986), athletics competitor, murderer
2. trial of Oscar Pistorius, also known as The State v Oscar Pistorius (wd:Q16328520): adjudication of murder and gun charges brought against athlete Oscar Pistorius in 2014
3. Oscar Pistorius: Blade Runner Killer (wd:Q55698496): 2017 television film
4. Oscar Pistorius, enhancement and post-humans. (wd:Q47375029): scientific article published in September 2008
5. Mechanics of Oscar Pistorius' running blades (wd:Q6804597): blades used by South African Paralympic runner Oscar Pistorius
6. Oscar Pistorius and the melancholy of intersectionality (wd:Q58274689)
7. O, also known as letter 15, o, O, Oscar (wd:Q9941): letter of the Latin alphabet
8. Oscar, also known as Oscar dos Santos Emboaba Junior, Oscar dos Santos Emboaba Júnior (wd:Q19497): Brazilian association football player (born 1991), association football player
9. Astronotus ocellatus, also known as marble cichlid, oscar, Oscar (fish), tiger oscar, velvet cichlid (wd:Q3442): species of fish from the cichlid family
10. Nakajima Ki-43 Hayabusa, also known as Oscar, Ki-43, Hayabusa, Army Zero, Army Type 1 Fighter (wd:Q700703): Japanese fighter aircraft

[Assistant]
The correct entity for Oscar Pistorius is wd:Q201377.

Next, I need to find the relevant property in Wikidata for "killed" or "has killed". I will search for properties related to "kill".

[Tool]
Top 10 property alternatives:
1. number of victims of killer, also known as number of persons killed, number of killed persons, number of homicide victims, kills, kill count (wd:P1345 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): people killed by the subject, both legal and illegal
2. perpetrator, also known as robber, perpetrators, perpetrated by, perp, offender (wd:P8031 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person or organization who carried out this harmful, illegal, or immoral act, participant
3. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person or organization who killed the subject, significant person
4. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
5. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
6. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
7. enemy, also known as opponent, rival, archvillain, archrival, archnemesis (wd:P7047 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): opponent character or group of this fictive character or group, significant person
8. hairstyle / hairlength, also known as hair style, style of hair, hair styling, hairdo, haircut (wd:P8839 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): style or length of cutting, arranging, or combing the hair on the subject's scalp
9. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): award or recognition received by a person, organization or creative work
10. powered by, also known as propulsion, prime mover, power source, powerplant, drive (wd:P516 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): equipment or engine used by the subject to convert a source or energy into mechanical energy, has part(s)

[Assistant]
The most relevant property for the number of people killed by a person is "number of victims of killer" (wd:P1345).

Now, I will check if Oscar Pistorius (wd:Q201377) has a value for this property, and if so, retrieve it.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there is no direct value for the property "number of victims of killer" (wd:P1345) for Oscar Pistorius in Wikidata.

As an alternative, I will check if there are any statements linking Oscar Pistorius as the perpetrator of a killing or murder, possibly using properties like "perpetrator" (wd:P8031) or by looking for items where he is listed as the killer. I will search for items where Oscar Pistorius is the "perpetrator" to see if there are any such entries.

[Tool] Got no rows and 3 columns

[Assistant]
There are no items in Wikidata where Oscar Pistorius is explicitly listed as the "perpetrator" (wd:P8031).

As another approach, I will check if there are any people in Wikidata who have "killed by" (wd:P157) property pointing to Oscar Pistorius. This could help identify the individuals he killed, if any are recorded.

[Tool]
Got 1 row and 3 columns:
| subject                       | property             | object                       |
| ----------------------------- | -------------------- | ---------------------------- |
| Reeva Steenkamp (wd:Q4584302) | killed by (wdt:P157) | Oscar Pistorius (wd:Q201377) |

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

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?game ) AS ?count ) WHERE {
  ?game wdt:P31 wd:Q7889 ; wdt:P577 ?date .
  FILTER ( YEAR( ?date ) = 2016 ) FILTER ( ?game != wd:Q24514682 )
}

There were 4,764 other video games that began (were published) in the same year as Dead by Daylight (2016).

[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 other video games began the same year as Dead by Daylight?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Dead by Daylight".
2. We need to find the year it began (its publication or release year).
3. We then need to find all other video games that began (were published or released) in the same year.
4. Finally, we need to count how many such video games there are, excluding "Dead by Daylight" itself.

Let's start by searching for the entity "Dead by Daylight" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Dead by Daylight, also known as dbd (wd:Q24514682): 2016 asymmetric survival horror video game developed by Behaviour Interactive
2. Dead by Daylight, also known as DBD (wd:Q116976554): upcoming horror film based in the videogame
3. Dead by Daylight universe (wd:Q125569668): narrative universe of the 2016 video game Dead by Daylight
4. Dead by Daylight: Bloodstained Sack (wd:Q98802595): 2016 downloadable content
5. Hooked on You: A Dead by Daylight Dating Sim, also known as A Dead by Daylight Dating Sim, Hooked on You (wd:Q113468031): 2022 video game
6. Dead by Daylight - Hellraiser chapter (wd:Q125760779): 2021 downloadable content
7. Dead by Daylight - All-Kill Chapter (wd:Q125760955): 2021 downloadable content
8. Dead by Daylight - Terror Expansion Pack (wd:Q125760940): 2021 downloadable content
9. Dead by Daylight - Sadako Rising Chapter (wd:Q125570431): 2022 downloadable content
10. Dead by Daylight - Resident Evil Chapter (wd:Q125760789): 2021 downloadable content

[Assistant]
The main video game "Dead by Daylight" is represented by wd:Q24514682. Next, we need to find its release or publication year. This will help us identify other video games released in the same year.

I'll search for properties related to "release year" or "publication date" for this entity.

[Tool]
Top 10 property alternatives:
1. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as p/wdt): date or point in time when a work was first published or released, point in time
2. software version identifier, also known as software release number, software version number, software release version, software update identifier, software update number (wd:P348 as p/wdt): numeric or nominal identifier of a version of a software program or file format, current or past, has edition or translation, edition number
3. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as p/wdt): method (or type) of distribution for the subject
4. distributed by, also known as distributor (wd:P750 as p/wdt): distributor of a creative work; distributor for a record label; news agency; film distributor
5. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
6. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
7. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as p/wdt): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
8. publisher, also known as video game publisher, software publisher, comic book publisher, sheet music publisher, publishing house (wd:P123 as p/wdt): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software
9. copyright license, also known as content licence, content license, copyright licence, licence, license (wd:P275 as p/wdt): license under which this copyrighted work is released
10. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as p/wdt): organization or person that developed the item, creator

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                         | property                    | object                              |
| ------------------------------- | --------------------------- | ----------------------------------- |
| Dead by Daylight (wd:Q24514682) | publication date (wdt:P577) | 2016-06-14T00:00:00Z (xsd:dateTime) |

[Assistant]
"Dead by Daylight" was published on 2016-06-14. Now, we need to find all other video games that were published in 2016 (the same year), and count them, excluding "Dead by Daylight" itself.

To do this, we need:
- The class for "video game" in Wikidata.
- To filter for items with publication date in 2016.
- To exclude wd:Q24514682.

Let's search for the entity "video game" to get its Wikidata ID.

[Tool]
Top 10 entity alternatives:
1. video game, also known as computer game, computer games, vg, videogame, videogames (wd:Q7889): electronic game with user interface and visual feedback
2. video game (wd:Q56312618): electronic game that involves interaction with a user interface ...edback on a video device such as a TV screen or computer monitor
3. 🎮, also known as U+1F3AE, VIDEO GAME (wd:Q87577146): Unicode character which may be used to communicate 'game'
4. Video Game (wd:Q105393890): 2021 single by Sufjan Stevens
5. VIDEO GAME (wd:Q126697592): 2018 video game
6. Gulf War, also known as Video Game War, Persian Gulf War, Operation Desert Storm, Kuwait War, Gulf War I (wd:Q37643): 1990–1991 conflict between Iraq and a 42-country coalition
7. video game console, also known as video-game console, Video game console, gaming console, games console, game console (wd:Q8076): interactive entertainment computer or customized computer system for running video games
8. first-person shooter, also known as FPS video game, FPS game, FPS, fps, first-person shooter video game (wd:Q185029): video game genre centered around gun and other weapon-based combat in a first-person perspective
9. game engine, also known as video game engine (wd:Q193564): system designed for the creation and development of video games
10. multiplayer video game, also known as multiplayer, multiplayer computer game, multiplayer game, multiplayer mode (wd:Q6895044): video game where multiple players can play together

[Assistant]
The main class for "video game" is wd:Q7889. Now, let's construct a SPARQL query to:
- Select all items that are instances of "video game" (wd:Q7889)
- Have a publication date in 2016
- Exclude "Dead by Daylight" (wd:Q24514682)
- Count the number of such items

I'll write the query accordingly.

[Tool]
Got 1 row and 1 column:
| count          |
| -------------- |
| 4764 (xsd:int) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?occupation ) AS ?occupationCount ) WHERE {
  ?laureate wdt:P166 wd:Q37922 .
  ?laureate wdt:P26 ?spouse .
  ?spouse wdt:P106 ?occupation .
}

Got 1 row and 1 column:
| occupationCount |
| --------------- |
| 71 (xsd:int)    |

Spouses of winners of the Nobel Prize in Literature have held 71 different occupations.

[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 different occupations did/do spouses of winners of the Nobel Prize in Literature hold?

[Assistant]
Let's break down the question:

1. We need to identify all winners of the Nobel Prize in Literature.
2. For each winner, we need to find their spouses.
3. For each spouse, we need to find their occupations.
4. Finally, we need to count the number of distinct occupations held by these spouses.

Let's start by searching for the entity representing the Nobel Prize in Literature.

[Tool]
Top 10 entity alternatives:
1. Nobel Prize in Literature, also known as Nobel Literature Prize (wd:Q37922): one of five prizes established by Alfred Nobel
2. 2022 Nobel Prize in Literature (wd:Q112594135): literary award to French author Annie Ernaux
3. 1901 Nobel Prize in Literature (wd:Q15918052)
4. 2023 Nobel Prize in Literature (wd:Q115937544)
5. 2012 Nobel Prize in Literature (wd:Q10845886)
6. 1905 Nobel Prize in Literature (wd:Q112731128)
7. 1908 Nobel Prize in Literature (wd:Q112731708)
8. 2003 Nobel Prize in Literature (wd:Q113212896)
9. 1938 Nobel Prize in Literature (wd:Q112811579)
10. 1954 Nobel Prize in Literature (wd:Q107359944): award

[Assistant]
The main entity for the Nobel Prize in Literature is wd:Q37922.

Next, we need to find all winners (laureates) of this prize. Typically, the property for "award received" is used for this. Let's search for the relevant property to connect people to the Nobel Prize in Literature.

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): award or recognition received by a person, organization or creative work
2. for work, also known as awarded for work, citation for award, for their work on, nominated for work (wd:P1686 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): qualifier of award received (P166) to specify the work that an award was given to the creator for
3. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): 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
4. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person or organization who grants an award, certification, grant, or role
5. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
6. eligible recipient, also known as eligible recipient for award, type of recipient who is eligible for this award (wd:P8115 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): party that is eligible to receive something, like an award, grant or prize
7. award rationale, also known as award citation, rationale, award reason (wd:P6208 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): qualifier to add short citation explaining the official reason f... or add comments about a person's award. No quote marked needed.
8. trophy awarded, also known as cup awarded, diploma awarded, medal awarded (wd:P4622 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): trophy awarded at the end of a selection process or of a competi...winners or finishers under the form of a cup, a medal, a diploma
9. nominee, also known as award nominee (wd:P2453 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): qualifier used with “nominated for” to specify which person or organization was nominated
10. awarded for period (wd:P4566 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): period during which the achievement must have been made to be eligible for an award

[Assistant]
The property "award received" (wdt:P166) is used to indicate that a person has received a specific award, such as the Nobel Prize in Literature.

Next, we need to find all people who have received the Nobel Prize in Literature (wd:Q37922) using this property. Then, for each laureate, we need to find their spouses. Let's search for the property that links a person to their spouse.

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
4. married name, also known as full name (married) (wd:P2562 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): name or surname adopted by a person upon marriage, name
5. place of marriage, also known as marriage location, wedding location, wed at, married in, married at (wd:P2842 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): location where the marriage was celebrated. Use as qualifier for property "spouse" (P26), significant place
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): full name of a person at birth, if different from their current, generally used name, name
7. connects with, also known as contacts, couples with, intersects at grade, links to, mates with (wd:P2789 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): item with which the item is physically connected, physically interacts with
8. companion of, also known as has astronomical companion, has companion, companion, astronomic companion of, astronomic companion (wd:P399 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): two or more astronomic bodies of the same type relating to each other
9. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
10. relation (wd:P2309 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): qualifier to define a property constraint in combination with P2...h the property "relative" is "type of kinship" (P1039), not this

[Assistant]
The property for "spouse" is wdt:P26.

Now, for each Nobel Prize in Literature laureate, we can find their spouse(s) using this property. Next, we need to find the occupation(s) of each spouse. Let's confirm the property for "occupation".

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. field of this occupation, also known as practice, works in, profession's field, practices, field of this profession (wd:P425 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): field corresponding to this occupation or profession (use only f...fessions - for people use Property:P101, for companies use P452)
3. members have occupation, also known as profession of members, organization of, organization for, organisation of, organisation for (wd:P3989 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): some or all members of this group share the occupation
4. practiced by, also known as proponent, studied by, practitioners, practioner, occupation of this field (wd:P3095 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): type of agents that study this subject or work in this field
5. position held, also known as function, held position, holds position, job, office held (wd:P39 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): subject currently or formerly holds the object position or public office
6. employer, also known as working at, working for, working place, works at, works for (wd:P108 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person or organization for which the subject works or worked, affiliation
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): the object is a country that recognizes the subject as its citizen, country
8. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person or organization occupying property, used by
9. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): specialization of a person or organization; see P106 for the occupation, interested in
10. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location

[Assistant]
The property for "occupation" is wdt:P106.

Now, we have all the necessary entities and properties:
- Nobel Prize in Literature: wd:Q37922
- Award received: wdt:P166
- Spouse: wdt:P26
- Occupation: wdt:P106

Let's construct a SPARQL query that:
1. Finds all people who received the Nobel Prize in Literature.
2. Finds their spouses.
3. Finds the occupations of those spouses.
4. Counts the number of distinct occupations.

I will write the query to return the count of distinct occupations, but also include the occupation IRIs for transparency.

[Tool]
Got 1 row and 1 column:
| occupationCount |
| --------------- |
| 71 (xsd:int)    |

[Tool]
Got 71 rows and 1 column, showing the first 5 and last 5 rows below:
| occupation                        |
| --------------------------------- |
| painter (wd:Q1028181)             |
| film actor (wd:Q10800557)         |
| handicrafter (wd:Q11479517)       |
| political activist (wd:Q11499147) |
| memoirist (wd:Q11774156)          |
| ...                               |
| ballet dancer (wd:Q805221)        |
| secretary (wd:Q80687)             |
| politician (wd:Q82955)            |
| biographer (wd:Q864380)           |
| geographer (wd:Q901402)           |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?university ?universityLabel ?inception WHERE {
  VALUES ?university {
    wd:Q34433 wd:Q35794
  }
  ?university wdt:P571 ?inception .
  OPTIONAL {
    ?university rdfs:label ?universityLabel FILTER ( lang( ?universityLabel ) = "en" )
  }
}
ORDER BY ?inception

The University of Oxford (established in 1096) was established earlier than the University of Cambridge (established in 1209).

[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 university is established earlier, university of oxford or university of cambridge?

[Assistant]
Let's break down the question:

1. We need to identify the entities for "University of Oxford" and "University of Cambridge" in Wikidata.
2. We need to find the property that represents the "date of establishment" or "founding date" for universities.
3. We will compare the founding dates of both universities to determine which one was established earlier.

First, I'll search for the entities for both universities.

[Tool]
Top 10 entity alternatives:
1. University of Oxford, also known as Univ. of Oxford, Universitas Oxoniensis, The University of Oxford, Oxon., Oxford (wd:Q34433): collegiate research university in Oxford, England
2. University of Oxford (wd:Q58944020): scholarly article
3. WikiProject University of Oxford (wd:Q21831045): Wikimedia subject-area collaboration
4. ISCA, University of Oxford (wd:Q52666568): Academic publisher based in United Kingdom
5. The University of Oxford (wd:Q61960212): scientific article published in March 2016
6. University of Oxford Finance (wd:Q102523083): business school
7. University of Oxford: Erratum (wd:Q94059932): scholarly article published in The BMJ
8. University of Oxford Latin American Centre, also known as University of Oxford LAC (wd:Q85960644): research centre in the UK
9. University of Oxford Blackfriars (wd:Q86020251): academic department in the UK
10. University of Oxford University College Oxford (wd:Q86020246): academic department in the UK

[Tool]
Top 10 entity alternatives:
1. University of Cambridge, also known as Cambridge University, The Chancellor, Masters, and Sch...s of the University of Cambridge, Cambridge, The University of Cambridge, Universitas Cantabrigiensis (wd:Q35794): collegiate public research university in Cambridge, England, United Kingdom
2. University of Cambridge, also known as The University of Cambridge, Universitas Cantabrigiensis, The Chancellor, Masters, and Sch...s of the University of Cambridge, Cambridge University, Cambridge (wd:Q35794): collegiate public research university in Cambridge, England, United Kingdom
3. University of Cambridge (wd:Q60109853): scholarly article published in Nature 148, November 1941
4. University of Cambridge (wd:Q60080699): scholarly article published in Nature 161, June 1948
5. University of Cambridge (wd:Q110095020): engraving by Nathaniel Parr
6. Cambridge University Constabulary, also known as University of Cambridge Constabulary (wd:Q304220)
7. University of Cambridge Museums & Botanic Garden, also known as University of Cambridge Museums (wd:Q17028042): consortium of museums of the University of Cambridge, United Kigdom
8. University of Cambridge legends (wd:Q7895218)
9. WikiProject University of Cambridge (wd:Q21831036): Wikimedia subject-area collaboration
10. Eur.Th.Group Of Cambridge University (wd:Q54909497): UK organization

[Tool]
Top 10 property alternatives:
1. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
2. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): location where a group or organization was formed, location of creation
3. date of incorporation, also known as date incorporated, incorporated, incorporated on date, incorporation date, year incorporated (wd:P10786 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): date when company, organization or city was incorporated
4. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
5. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): founder or co-founder of this organization, religion, place or entity, creator
6. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): text through which an institution or object has been created or established
7. time of discovery or invention, also known as invented in, time of invention, time of discovery, invention time, invented on (wd:P575 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): date or point in time when the item was discovered or invented
8. introduced on, also known as bill introduced on, introduction date, introduced date (wd:P9448 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): date when a bill was introduced into a legislature, inception
9. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): time an entity begins to exist or a statement starts being valid, point in time
10. earliest date, also known as no earlier than, terminus post quem, start date (earliest), on or after this date, minimum date (wd:P1319 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): earliest date at which an event could have happened. Use as qualifier for other date properties

[Tool]
Got 2 rows and 3 columns:
| university                          | universityLabel              | inception                           |
| ----------------------------------- | ---------------------------- | ----------------------------------- |
| University of Oxford (wd:Q34433)    | University of Oxford (en)    | 1096-01-01T00:00:00Z (xsd:dateTime) |
| University of Cambridge (wd:Q35794) | University of Cambridge (en) | 1209-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?movement WHERE {
  wd:Q117012 wdt:P135 ?movement
}

Yoko Ono was part of the Fluxus art movement (wd:Q108908).

[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 art movement was Yoko Ono part of?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Yoko Ono".
2. We need to find the property that links a person to an art movement.
3. We will then construct a query to find the art movement(s) associated with Yoko Ono.

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

[Tool]
Top 10 entity alternatives:
1. Yoko Ono, also known as Yōko Ono, Ono Yōko, Yoko Ono Lennon, Ĭoko Ono, Ono (wd:Q117012): Japanese artist and activist based in the United States, performance artist, conceptual artist, recording artist, peace activist, visual artist, film director, photographer, filmmaker, sculptor, composer, painter, singer
2. Yōko Ōno, also known as Ono Yoko, Youko Ouno, Yoko Ono, Ōno Yōko (wd:Q16264827): Japanese judoka, judoka
3. Yoko Ono (wd:Q1867590): song by Die Ärzte
4. Yōko Ono, also known as Ono Yoko, Youko Ono, Yoko Ono, Ono Yōko (wd:Q11464149): Japanese actress born in 1954, actor, seiyū
5. Ono, Yoko (wd:Q103989374): encyclopedia article
6. Yoko Ono/Plastic Ono Band (wd:Q507672): album
7. Plastic Ono Band, also known as Plastic Ono Elephant's Memory Band, Plastic Ono Nuclear Band, Plastic U.F. Ono Band, The Plastic Ono Band, Yoko Ono Plastic Ono Band (wd:Q731721): UK musical group; rock band
8. Be My Yoko Ono (wd:Q4875557): 1992 single by Barenaked Ladies
9. Yoko Ono Lennon Centre, also known as Tung Auditorium (wd:Q130417289): teaching and performance facility in Liverpool
10. John Lennon and Yoko Ono, also known as Yoko & John, Yoko Ono & John Lennon, Yoko Ono and John Lennon, John & Yoko, John Lennon & Yoko Ono (wd:Q47122619): musical duo; couple

[Assistant]
The most relevant entity for Yoko Ono, the artist, is wd:Q117012.

Next, I need to find the property that links a person (such as Yoko Ono) to an art movement. I'll search for properties related to "art movement".

[Tool]
Top 10 property alternatives:
1. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
2. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): structure of a creative work
3. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
4. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): primary topic of a work (see also P180: depicts), depicts
5. expression, gesture or body pose, also known as action, expression, facial expression, gesture, movement (wd:P6022 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): qualifier on "depicts" (P180) for human position of an individual in an artwork
6. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): maker of this creative work or other object (where no more specific property exists)
7. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
8. after a work by, also known as inspirational artist, inspiring artist, copy of a work by, based on a work by, artist who inspired this (wd:P1877 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): artist whose work strongly inspired / was copied in this item, significant person
9. art name, also known as artistic name, hao, hiệu (wd:P1787 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): type of pseudonym of modern and historical artists as well as sp...ically traditionally adopted by writers and artists in East Asia
10. exhibited creator, also known as artist exhibited, exhibited artist (wd:P10661 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): intellectual or creative entity (person or organization) responsible for the elements exhibited, creator

[Assistant]
The property "movement" (wd:P135) is used to link a person or work to an art movement.

Now, I will construct a SPARQL query to find the art movement(s) (wd:P135) associated with Yoko Ono (wd:Q117012). I will also try to get the labels of the art movements for clarity, but will make them optional as per the instructions.

[Tool]
Got 1 row and 2 columns:
| movement            | movementLabel |
| ------------------- | ------------- |
| Fluxus (wd:Q108908) | Fluxus (en)   |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?releaseDate WHERE {
  wd:Q19798744 wdt:P580 ?releaseDate
}

The OA was first released on 2016-12-16.

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

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

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] When did The OA was first released?

[Assistant]
Let's break down the question:

1. The entity is "The OA", which is a TV series.
2. The property we are looking for is the "date of first release" or "publication date".

First, I will search for the entity "The OA" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. The OA (wd:Q19798744): 2016 American mystery drama television series
2. The Oa, also known as The Oa RSPB Nature Reserve (wd:Q1325866): peninsula in the southwest of Islay, Argyll and Bute, Scotland, UK
3. The Oa (wd:Q126204501): Special Protection Area in Scotland, UK
4. The Oath, also known as Oath, Eiðurinn (wd:Q27834781): 2016 film by Baltasar Kormákur
5. Di Shvue, also known as Di Bundishe Shvue, The Oath (wd:Q5270055): Jewish song, anthem of the Bund
6. Il giuramento, also known as The Oath (wd:Q1469058): opera by Saverio Mercadante
7. The Oak, also known as Oak (wd:Q2328850): 1992 film
8. Epsom Oaks, also known as Oaks, The Oaks, The Oaks Stakes (wd:Q3347856): British Group 1 horse race tor 3-year-old filles over 1 mile, 4 furlongs and 10 yards (2,423 metres)
9. The Oatmeal, also known as theoatmeal.com (wd:Q2015830): humor website
10. The Oath (wd:Q39071891): television series

[Assistant]
The correct entity for "The OA" TV series is wd:Q19798744.

Next, I need to find the property for "date of first release" or "publication date". I will search for relevant properties using keywords like "release date" or "publication date".

[Tool]
Top 10 property alternatives:
1. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time
2. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as p/wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
3. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as p/wdt): method (or type) of distribution for the subject
4. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
5. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
6. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
7. producer, also known as music producer, record producer, produced by, film producer, creative producer (wd:P162 as p/wdt): person(s) who produced the film, musical work, theatrical produc...etc.) [for production company, use P272, video games - use P178]
8. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as p/wdt): length of time of an event or process
9. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as p/wdt): network(s) or service(s) that originally broadcast a radio or television program, broadcast by
10. distributed by, also known as distributor (wd:P750 as p/wdt): distributor of a creative work; distributor for a record label; news agency; film distributor

No other items found

[Tool]
Top 10 property alternatives:
1. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as p/wdt): method (or type) of distribution for the subject
2. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as p/wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
3. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time
4. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
5. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as p/wdt): maker of this creative work or other object (where no more specific property exists)
6. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as p/wdt): length of time of an event or process
7. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
8. Schnittberichte.com title ID (wd:P12241 as p/wdt): identifier in the Schnittberichte.com database
9. original language of film or TV show, also known as media language, original language, language of the original work, created on language (wd:P364 as p/wdt): language in which a film or a performance work was originally cr... works and songs; use P407 ("language of work or name") instead., language of work or name
10. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic

No other items found

[Tool]
Got 312 rows and 3 columns, showing the first 10 rows below:
| subject               | property                     | object                                          |
| --------------------- | ---------------------------- | ----------------------------------------------- |
| The OA (wd:Q19798744) | instance of (wdt:P31)        | television series (wd:Q5398426)                 |
| The OA (wd:Q19798744) | title (wdt:P1476)            | The OA (en)                                     |
| The OA (wd:Q19798744) | has part(s) (wdt:P527)       | The OA: Part I (wd:Q28613281)                   |
| The OA (wd:Q19798744) | country of origin (wdt:P495) | United States (wd:Q30)                          |
| The OA (wd:Q19798744) | official website (wdt:P856)  | <https://www.netflix.com/title/80044950>        |
| The OA (wd:Q19798744) | genre (wdt:P136)             | science fiction television program (wd:Q336059) |
| The OA (wd:Q19798744) | cast member (wdt:P161)       | Jason Isaacs (wd:Q214223)                       |
| The OA (wd:Q19798744) | creator (wdt:P170)           | Brit Marling (wd:Q289380)                       |
| The OA (wd:Q19798744) | start time (wdt:P580)        | 2016-12-16T00:00:00Z (xsd:dateTime)             |
| The OA (wd:Q19798744) | end time (wdt:P582)          | 2019-08-05T00:00:00Z (xsd:dateTime)             |
| ...                   | ...                          | ...                                             |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?person ) AS ?count ) WHERE {
  ?person wdt:P39 ?position .
  VALUES ?position {
    wd:Q838380 wd:Q332486
  }
}

Got 1 row and 1 column:
| count        |
| ------------ |
| 11 (xsd:int) |

After checking the data, there are 12 instances of people holding either the position of "President of Iran" or "Supreme Leader of Iran," but some individuals (such as Ali Khamenei) have held both positions. To answer your question accurately, we need to count the number of unique individuals who have held either of these head of state positions.

Here is the final SPARQL query and answer:

```sparql
SELECT (COUNT(DISTINCT ?person) AS ?count) WHERE {
  ?person wdt:P39 ?position .
  VALUES ?position { wd:Q838380 wd:Q332486 }
}
```

Answer: There have been 11 unique individuals who have served as head of state in Iran (either as President or Supreme Leader).

[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 head of the state does iran have?

[Assistant]
Let's break down the question:

1. The user wants to know how many "head of the state" positions Iran has. This likely refers to the number of people who have held the position of head of state in Iran.
2. We need to identify the entity for Iran and the property for "head of state" in Wikidata.
3. Then, we will count the number of distinct individuals who have been head of state of Iran.

First, I'll search for the entity for Iran and the property for "head of state".

[Tool]
Top 10 entity alternatives:
1. Iran, also known as ir, IRI, IRN, Islamic Rep. Iran, Islamic Republic of Iran (wd:Q794): country in Western Asia
2. Qajar Iran, also known as Guarded Domains of Persia, Sublime State of Persia, Qajar Persia, Persia, Iran (wd:Q63158027): country in Western Asia (1789–1925)
3. Iran (wd:Q2043606): village in North Ossetia, Russia
4. Iran, also known as Īrān (wd:Q10859757): Iranian newspaper
5. IRAN, also known as Iran: Journal of the British Institute of Persian Studies (wd:Q5973372): academic journal
6. Irane Man, also known as Iran (wd:Q100939484): 2018 studio by Homayoun Shajarian & Sohrab Pournazeri
7. IRAN (wd:Q108434787): herbarium
8. Iran, also known as Iran (first name), Iran (given name) (wd:Q21286079): male given name
9. Iran, also known as IMO 5327817 (wd:Q101778560): ship built in 1941
10. Iran (wd:Q96382820): About Iran

[Tool]
Top 10 property alternatives:
1. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): political office that is fulfilled by the head of state of this item
2. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): official with the highest formal authority in a country/state, director / manager, chairperson
3. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
4. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): political office that is fulfilled by the head of the government of this item
5. rector, also known as chancellor, university president, Rector (academia), president (wd:P1075 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): senior official in an educational institution., director / manager, chairperson
6. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): presiding member of an organization, group or body, director / manager, significant person
7. organization directed by the office or position, also known as leader of, head of, leads, organization directed by, organization directed from the office (wd:P2389 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): organization which is directed by this office
8. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): position of the head of this item
9. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): persons who hold and/or held the position
10. country, also known as sovereign state, state, land, host country (wd:P17 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 0 (xsd:int) |

[Assistant]
I searched for the number of distinct individuals who have held the position of head of state (wdt:P35) for Iran (wd:Q794). The result was 0, which is unexpected, as Iran has had heads of state.

This suggests that the property "head of state" (P35) may not be directly used with Iran as the object, but rather with the office or position (e.g., President of Iran, Supreme Leader of Iran) as the subject. I need to refine the approach by looking for people who have held the position of "President of Iran" or "Supreme Leader of Iran".

Let me search for the entities "President of Iran" and "Supreme Leader of Iran".

[Tool]
Top 10 entity alternatives:
1. President of Iran (wd:Q838380): position
2. Vice President of Iran (wd:Q2660216): Office of the Vice President of the Islamic Republic of Iran
3. Spouse of President of Iran, also known as First Lady of Iran (wd:Q5453156): First Lady of Iran
4. Office of the President of Iran (wd:Q56357321)
5. Vice President of Iran (wd:Q40097798)
6. Staff of the President of Iran, also known as Iran's Presidential Administration, Presidential Administration of Iran (wd:Q16074706): Presidential Administration of Iran (including Office of the Pre...onsists of the immediate staff of the current President of Iran.
7. Advisor to the President of Iran (wd:Q27986870)
8. Aide to the President of Iran (wd:Q27987217)
9. Iran: Profile of President Mahmoud Ahmadinejad (wd:Q59639300): Congressional Research Service report
10. Vice President of Iran for Economic Affairs, also known as Vice-President for Economic Affairs (wd:Q108872199): cabinet position in Iran

[Tool]
Top 10 entity alternatives:
1. Supreme Leader of Iran, also known as Iran's Supreme Leader, Iran Supreme Leader, Supreme Leadership Authority (wd:Q332486): Iranian Head of State
2. Office of the Supreme Leader of Iran, also known as House of Leadership (wd:Q16045000): House of Leadership
3. Deputy Supreme Leader of Iran (wd:Q31067633): Who will replace the leader of Iran after is death
4. next Iranian Supreme Leader election, also known as Next Supreme Leader of Iran election (wd:Q23043491): upcoming election to elect the new or 3rd Supreme Leader of Iran
5. Office of the Supreme Leader of Iran Complex (wd:Q122611687): official residence in Tehran, Iran
6. Head of the Office of the Supreme Leader of Iran (wd:Q110126773)
7. paramount leader of the People's Republic of China, also known as Chinese leader, leader of China, Paramount leader of China, Supreme leader of China (wd:Q50684): an unofficial title of the de facto head of state in China, usua...the General Secretary or Chairman of the Chinese Communist Party
8. Supreme Leader of Afghanistan, also known as Amir al-Mu'minin of Afghanistan (wd:Q108130107): head of state and ruler of Afghanistan
9. Supreme Court of Iran (wd:Q13107481): highest juridical authority in Iran
10. The Issue of Transition in the I...tution of Supreme Leader in Iran (wd:Q119682211)

[Tool]
Top 10 property alternatives:
1. position held, also known as function, held position, holds position, job, office held (wd:P39 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): subject currently or formerly holds the object position or public office
2. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): persons who hold and/or held the position
3. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): position or specialism of a player on a team
4. expression, gesture or body pose, also known as action, expression, facial expression, gesture, movement (wd:P6022 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): qualifier on "depicts" (P180) for human position of an individual in an artwork
5. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): subject's ordinal position as qualitatively evaluated relative to other members of a group
6. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
7. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/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. office contested, also known as contested office, contested position, position contested (wd:P541 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): title of office which election will determine the next holder of
9. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): position of the head of this item
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/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

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 11 (xsd:int) |

[Tool]
Got 11 rows and 1 column, showing the first 5 and last 5 rows below:
| person                                |
| ------------------------------------- |
| Mohammad Khatami (wd:Q180795)         |
| Akbar Hashemi Rafsanjani (wd:Q186111) |
| Abolhassan Banisadr (wd:Q273866)      |
| Mohammad-Ali Rajai (wd:Q310592)       |
| Mahmoud Ahmadinejad (wd:Q34448)       |
| ...                                   |
| Ruhollah Khomeini (wd:Q38823)         |
| Mohammad Mokhber (wd:Q5703610)        |
| Ali Khamenei (wd:Q57336)              |
| Masoud Pezeshkian (wd:Q5933752)       |
| Ebrahim Raisi (wd:Q5947347)           |

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| person                                | position                            |
| ------------------------------------- | ----------------------------------- |
| Mohammad Khatami (wd:Q180795)         | President of Iran (wd:Q838380)      |
| Akbar Hashemi Rafsanjani (wd:Q186111) | President of Iran (wd:Q838380)      |
| Abolhassan Banisadr (wd:Q273866)      | President of Iran (wd:Q838380)      |
| Mohammad-Ali Rajai (wd:Q310592)       | President of Iran (wd:Q838380)      |
| Mahmoud Ahmadinejad (wd:Q34448)       | President of Iran (wd:Q838380)      |
| ...                                   | ...                                 |
| Mohammad Mokhber (wd:Q5703610)        | President of Iran (wd:Q838380)      |
| Ali Khamenei (wd:Q57336)              | Supreme Leader of Iran (wd:Q332486) |
| Ali Khamenei (wd:Q57336)              | President of Iran (wd:Q838380)      |
| Masoud Pezeshkian (wd:Q5933752)       | President of Iran (wd:Q838380)      |
| Ebrahim Raisi (wd:Q5947347)           | President of Iran (wd:Q838380)      |

[Assistant]
After checking the data, there are 12 instances of people holding either the position of "President of Iran" or "Supreme Leader of Iran," but some individuals (such as Ali Khamenei) have held both positions. To answer your question accurately, we need to count the number of unique individuals who have held either of these head of state positions.

Here is the final SPARQL query and answer:

```sparql
SELECT (COUNT(DISTINCT ?person) AS ?count) WHERE {
  ?person wdt:P39 ?position .
  VALUES ?position { wd:Q838380 wd:Q332486 }
}
```

Answer: There have been 11 unique individuals who have served as head of state in Iran (either as President or Supreme Leader).