PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?director WHERE {
  wd:Q28091065 wdt:P57 ?director .
}

Niki Caro

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

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

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

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

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

[User] Who directed Anne with an E ?

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

[Tool]
Example 1:
Question:
Which companies work in the aerospace industry as well as in medicine?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?type wdt:P279 * wd:Q4830453 .
  ?aerospace wdt:P279 * wd:Q3477363 .
  ?healthcare wdt:P279 * wd:Q15067276 .
  ?pharma wdt:P279 * wd:Q507443 .
  ?uri wdt:P452 ?aerospace ; wdt:P452 ?healthcare .
}

Using entities:
health care industry, also known as healthcare industry, health industry, medical care industry, medical industry (wd:Q15067276): industry dedicated to providing health care services and products
aerospace industry, also known as aircraft industry (wd:Q3477363): industrial sector
business (wd:Q4830453): organization undertaking commercial, industrial, or professional activity
pharmaceutical industry, also known as drug industry, pharma, pharmaceutical wholesaler, pharma industry (wd:Q507443): develops, produces, and markets drugs or pharmaceuticals licensed for use as medications

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
industry, also known as branch, economic branch, field of action, field of exercise, sector (wd:P452 as wdt): specific industry of company or organization, part of

Example 2:
Question:
What is the birth name of Angela Merkel?

SPARQL:
SELECT DISTINCT ?name WHERE {
  wd:Q567 wdt:P1477 ?name .
}

Using entities:
Angela Merkel, also known as Angela Dorothea Merkel, leader of the free world, Angela Kasner (wd:Q567): chancellor of Germany from 2005 to 2021, politician, physicist

Using properties:
birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdt): full name of a person at birth, if different from their current, generally used name, name

Example 3:
Question:
What is the largest state in the United States?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 wd:Q35657 .
  ?uri wdt:P2046 ?area .
}
ORDER BY DESC ( ?area )
LIMIT 1

Using entities:
U.S. state, also known as U.S. states, US state, USA state, U.S.A. state, United States states (wd:Q35657): constituent political entity of the United States of America

Using properties:
area, also known as total area, surface area, surface, size, resolution (wd:P2046 as wdt): area occupied by an object
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant] Based on the examples, we need to identify the entity for "Anne with an E" and then find the director associated with it. Let's first search for the entity "Anne with an E".

[Tool]
Top 10 entity alternatives:
1. Anne with an E (wd:Q28091065): Canadian drama television series
2. Anne Linda Chisa, also known as Anne with an E (wd:Q109236706): South African academic, podcaster
3. Anne with an E, season 1 (wd:Q30897460): Wikimedia list article
4. Anne with an E, season 2 (wd:Q56327877): season of Anne with an E
5. Anne with an E, season 3 (wd:Q97370516): season of Anne with an E
6. An Intimate Evening with Anne Murray (wd:Q4750087): live album
7. Annelid Phylogeny—Molecular Anal...th an Emphasis on Model Annelids (wd:Q57267390): article
8. Hat with Bird: Anne Estelle Rice (wd:Q119158898): painting by John Duncan Fergusson (1874–1961), Kelvingrove Art Gallery and Museum
9. Queery with Cameron Esposito: Anne McClain, also known as Anne McClain (wd:Q117712680): Queery with Cameron Esposito podcast episode
10. Live Body: An interview with Anne Emmanuelle Berger (wd:Q127594883): scholarly article

[Assistant] The correct entity for "Anne with an E" is `wd:Q28091065`. Now, let's find the property that links a TV series to its director. We can search for properties related to "director" and see if any of them apply to TV series.

[Tool]
Top 10 property alternatives:
1. director / manager, also known as leader, manager, manager/director, managing director, Officer-in-Charge (wd:P1037 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): person who manages any kind of group, significant person
2. director, also known as film director, movie director, game director, directed by (wd:P57 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): director(s) of film, TV-series, stageplay, video game or similar, contributor to the creative work or subject, creator
3. editor-in-chief, also known as lead editor, managing editor, executive editor, editor in chief, directed by (wd:P5769 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): a publication's editorial leader who has final responsibility fo...publishing articles or books in collections or periodical papers
4. 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): position of the head of this item
5. creative director (wd:P12617 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): person who makes high-level creative decisions, director
6. assistant director, also known as second unit director (wd:P5126 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): assistant stage director of a performing arts, film or television production
7. artistic director (wd:P8938 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): person responsible for the overall artistic vision of an organization and for its execution. See also P3174 for works., director / manager
8. art director, also known as artistic director (wd:P3174 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): person credited as the art director/artistic director of this wo... designers, lighting designers; See also P8938 for organizations
9. director of photography, also known as cinematographer, DOP (wd:P344 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): person responsible for the framing, lighting, and filtration of the subject work, film crew member
10. director of archaeological fieldwork, also known as dig director, director of excavations, excavation director (wd:P4345 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): person leading the archaeological or anthropological investigation at a given site, significant person

[Assistant]
The property `wd:P57` (director) seems to be the most appropriate for linking a TV series to its director. Let's construct a SPARQL query to find the director of "Anne with an E" using this property.

```sparql
SELECT ?director WHERE {
  wd:Q28091065 wdt:P57 ?director .
}
```

Let's execute this query to get the director of "Anne with an E".

[Tool]
Got 1 row and 1 column:
| director               |
| ---------------------- |
| Niki Caro (wd:Q449163) |

[Assistant]
The director of "Anne with an E" is Niki Caro. Here is the final SPARQL query and answer:

```sparql
SELECT ?director WHERE {
  wd:Q28091065 wdt:P57 ?director .
}
```

Answer: Niki Caro

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?person ?personLabel WHERE {
  ?person wdt:P20 wd:Q934 .
  OPTIONAL {
    ?person rdfs:label ?personLabel .
    FILTER ( LANG( ?personLabel ) = "en" )
  }
}

Sigizmund Levanevsky

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

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

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

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

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

[User] Who died at the North Pole?

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

[Tool]
Example 1:
Question:
When was the Titanic completed?

SPARQL:
SELECT DISTINCT ?date WHERE {
  wd:Q25173 wdt:P729 ?date .
}

Using entities:
Titanic, also known as RMS Titanic, The Titanic, Royal Mail Steamship Titanic, SS Titanic (wd:Q25173): British transatlantic passenger liner, launched and foundered in 1912

Using properties:
service entry, also known as commissioned, time of service entry, service introduction, launch date, in service (wd:P729 as wdt): date or point in time on which a piece or class of equipment entered operational service, start time

Example 2:
Question:
Which scientist is known for the Manhattan Project and the Nobel Peace Prize?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P1344 wd:Q127050 .
  ?scientist wdt:P279 * wd:Q901 .
  ?uri wdt:P106 ?scientist .
  ?uri wdt:P166 wd:Q35637 .
}

Using entities:
Manhattan Project, also known as Development of Substitute Materials (wd:Q127050): World War 2 American R&D program that produced the first nuclear weapons
Nobel Peace Prize, also known as Nobel Prize for Peace, Noble Peace Prize, Nobel Prize in Peace (wd:Q35637): one of five Nobel Prizes
scientist, also known as natural philosopher (wd:Q901): person who use scientific methods to study in an area of interest

Using properties:
occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as wdt): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt): award or recognition received by a person, organization or creative work
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain

Example 3:
Question:
Who is the owner of Universal Studios?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q168383 wdt:P127 ?uri .
}

Using entities:
Universal Pictures, also known as Universal City Studios LLC, Universal Film Manufacturing Company, Universal-International Pictures Inc., Universal Studios (wd:Q168383): American film studio

Using properties:
owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as wdt): owner of the subject

[Assistant] Based on the examples, we need to identify the entity for the North Pole and the property for place of death. Let's start by searching for the North Pole entity.

[Tool]
Top 10 entity alternatives:
1. North Pole, also known as terrestrial North Pole, geographic North Pole (wd:Q934): one of the two points where the Earth's axis of rotation intersects its surface
2. North Pole, also known as North Pole, Alaska (wd:Q79494): city in Alaska, USA
3. North Pole, also known as North Pole, ID, North Pole, Idaho (wd:Q7056392): unincorporated community in Idaho
4. North Pole, also known as North Pole, New York, North Pole, NY (wd:Q4327488): human settlement in United States of America
5. North Pole (wd:Q130803558): pub in Wateringbury, Tonbridge and Malling, Kent, England
6. North Pole (wd:Q21958071): mine in Western Australia
7. North Pole (wd:Q21983876): mountain in Australia
8. North Pole (wd:Q31972103): mine in Masvingo Province, Zimbabwe
9. North Pole (wd:Q34886291): mountain in United States of America
10. North Pole (wd:Q49057483): mountain in Idaho, United States of America

[Assistant] The correct entity for the North Pole is the first one, wd:Q934. Now let's search for the property for place of death.

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): dissolved, abolished or demolished date, date on which the subject died, end time
4. category for people who died here, also known as category for place of death, category of people who died here (wd:P1465 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): category item for people who died in this location, related category
5. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
6. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): total (cumulative) number of people who died since start as a direct result of an event or cause
7. category for people buried here, also known as buried here: Wikimedia category for, category of people buried here, category for place of burial, category for burials (wd:P1791 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): Wikimedia category for people with a burial site within this area, related category
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): date on which the person was buried or cremated soon after death, point in time
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant]
The correct property for place of death is the first one, wd:P20. Now we can construct a simple SPARQL query to find out who died at the North Pole.

Here is the initial SPARQL query:

```sparql
SELECT ?person WHERE {
  ?person wdt:P20 wd:Q934 .
}
```

Let's execute this query and see the results.

[Tool]
Got 1 row and 1 column:
| person                             |
| ---------------------------------- |
| Sigizmund Levanevsky (wd:Q1333099) |

[Assistant]
The SPARQL query has returned one result: Sigizmund Levanevsky. To ensure the answer is complete and accurate, let's verify if there are any other individuals who might have died at the North Pole.

We can add an OPTIONAL clause to include labels for better readability, but it is not necessary for the final answer.

Here is the refined SPARQL query:

```sparql
SELECT ?person ?personLabel WHERE {
  ?person wdt:P20 wd:Q934 .
  OPTIONAL { ?person rdfs:label ?personLabel . FILTER(LANG(?personLabel) = "en") }
}
```

Let's execute this query to confirm the result.

[Tool]
Got 1 row and 2 columns:
| person                             | personLabel               |
| ---------------------------------- | ------------------------- |
| Sigizmund Levanevsky (wd:Q1333099) | Sigizmund Levanevsky (en) |

[Assistant]
The refined SPARQL query confirms that Sigizmund Levanevsky is the only person who died at the North Pole according to the available data in Wikidata.

Therefore, the final answer to the question "Who died at the North Pole?" is Sigizmund Levanevsky.

Here is the final SPARQL query and answer:

```sparql
SELECT ?person ?personLabel WHERE {
  ?person wdt:P20 wd:Q934 .
  OPTIONAL { ?person rdfs:label ?personLabel . FILTER(LANG(?personLabel) = "en") }
}
```

Answer: Sigizmund Levanevsky

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK WHERE {
  wd:Q696071 wdt:P674 ?character .
  ?character wdt:P21 wd:Q6581071 .
}

False

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

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

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

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

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

[User] is there female main character in hunter x hunter?

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

[Tool]
Example 1:
Question:
Which electronics companies were founded in Beijing?

SPARQL:
SELECT DISTINCT ?company WHERE {
  ?company wdt:P452 wd:Q581105 ; wdt:P740 wd:Q956 .
}

Using entities:
consumer electronics, also known as home electronics, household electronics (wd:Q581105): electronic equipment intended for everyday use, typically in private homes
Beijing, also known as Pei-ping, Peip'ing, Peiping, Pekin, Pe-king (wd:Q956): capital city of China

Using properties:
industry, also known as branch, economic branch, field of action, field of exercise, sector (wd:P452 as wdt): specific industry of company or organization, part of
location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as wdt): location where a group or organization was formed, location of creation

Example 2:
Question:
What is Angela Merkel’s birth name?

SPARQL:
SELECT ?o1 WHERE {
  wd:Q567 wdt:P1477 ?o1 .
}

Using entities:
Angela Merkel, also known as Angela Dorothea Merkel, leader of the free world, Angela Kasner (wd:Q567): chancellor of Germany from 2005 to 2021, politician, physicist

Using properties:
birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdt): full name of a person at birth, if different from their current, generally used name, name

Example 3:
Question:
What is the biggest stadium in Spain?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  {
    ?uri wdt:P31 wd:Q483110 .
  } UNION {
    ?uri wdt:P31 ?type .
    ?type wdt:P279 wd:Q483110
  }
  ?uri wdt:P17 wd:Q29 .
  ?uri wdt:P1083 ?num .
}
ORDER BY DESC ( ?num )
LIMIT 1

Using entities:
Spain, also known as Kingdom of Spain (wd:Q29): country in southwestern Europe with territories in Africa
stadium, also known as sports arena, sports stadium, sport stadium, stadiums, 🏟 (wd:Q483110): place or venue for (mostly) outdoor sports, concerts, or other events

Using properties:
maximum capacity, also known as capacity, complement, crew, number of seats, seating capacity (wd:P1083 as wdt): number of people allowed for a venue or vehicle
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant]
Based on the examples, we need to identify the relevant entities and properties for our question. We are looking for female characters who are main characters in the anime/manga series Hunter x Hunter.

First, let's search for the entity "Hunter x Hunter" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Hunter × Hunter, also known as HUNTER × HUNTER, Hunter x Hunter, HXH (wd:Q696071): Japanese manga series
2. Hunter × Hunter, also known as H×H, Hunter x Hunter, HxH (wd:Q70209136): 2011 Japanese anime television series
3. Hunter × Hunter, also known as Hunter x Hunter, HxH (wd:Q21232458): 1999 Japanese anime television series
4. Monster Hunter Generations, also known as Monster Hunter X (wd:Q20856979): 2015 Japanese video game
5. Hunter Xcite (wd:Q60767092): sailboat class
6. Xavier Hunter (wd:Q100806788): basketball player
7. Hunter × Hunter: Phantom Rouge, also known as Hunter X Hunter: Phantom Rouge (wd:Q11398237): 2013 film by Yūzō Satō
8. City Hunter XYZ (wd:Q97170832): fan film by Filip Wong
9. Monster Hunter Generations Ultimate, also known as Monster Hunter XX (wd:Q30302563): 2017 video game
10. XX: Beautiful Hunter (wd:Q8042573): 1994 film by Masaru Konuma

[Assistant]
The top result is the correct one: "Hunter × Hunter" (wd:Q696071), which refers to the Japanese manga series. Now, we need to find the main characters of this series and check if any of them are female.

Let's search for the property "main character" or "character" in the context of the Hunter x Hunter series.

[Tool]
Top 10 property alternatives:
1. characters, also known as appears in this work (wd:P674 as p/wdt): characters which appear in this item (like plays, operas, operettas, books, comics, films, TV series, video games)
2. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. 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
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. 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. author, also known as writer, written by, poet, playwright, maker (wd:P50 as p/wdt): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
7. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as p/wdt): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
8. Personality Database work ID, also known as PDB work ID, Personality Database work identifier, Personality DB work ID (wd:P10688 as p/wdt): identifier of an audiovisual work on the Personality Database website
9. derivative work, also known as is source work of, is adapted as, is the basis for, iteration, reboot (wd:P4969 as p/wdt): new work of art (film, book, software, etc.) derived from major part of this work
10. 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

No other items found

[Assistant]
The property "characters" (wd:P674) seems to be the most relevant for finding the characters in the Hunter x Hunter series. Let's use this property to list the characters and then filter to see if any of them are female.

We'll start by listing the characters of Hunter x Hunter.

[Tool]
Got 6 rows and 1 column:
| character                         |
| --------------------------------- |
| Ging Freecss (wd:Q20381047)       |
| Hisoka (wd:Q2280812)              |
| Kurapika (wd:Q2537895)            |
| Leorio Paladiknight (wd:Q2611418) |
| Gon Freecss (wd:Q2717608)         |
| Killua Zoldyck (wd:Q2717625)      |

[Assistant]
We have a list of characters from the Hunter x Hunter series. Now, we need to determine if any of these characters are female. To do this, we will check the gender of each character.

Let's search for the property "gender" or "sex" to use in our query.

[Tool]
Top 10 property alternatives:
1. grammatical gender, also known as gender (wd:P5185 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): grammatical gender of the word
2. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): grammatical features required or generally used with lexeme or form of lexeme
4. has grammatical gender, also known as grammatical genders, has genders (wd:P5109 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): specific form of noun class system of a language. Use qualifier ... subject of" (P805) to link to language specific item if present
5. personal pronoun, also known as gender pronoun, personal gender pronoun, personal pronouns, PGP, PGPs (wd:P6553 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): used when a word is only used to refer to people of this gender or to animals of this sex, independent of the grammatical gender
7. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): female form of name or title (for male use P3321)
8. gender educated (wd:P7419 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): genders educated at this educational institution
9. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): male form of name or title (for female use P2521)
10. given name version for other gender, also known as personal name version for other gender, other genders given name, male version of this female given name, gender inflection of given name, female version of this male given name (wd:P1560 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): equivalent name (with respect to the meaning of the name) in the...n of a female first name. Add primarily the closest matching one

[Assistant]
The property "sex or gender" (wd:P21) is the most relevant for determining the gender of the characters. Let's use this property to check the gender of each character listed.

We will modify our previous query to include the gender of each character.

[Tool]
Got 6 rows and 2 columns:
| character                         | gender             |
| --------------------------------- | ------------------ |
| Ging Freecss (wd:Q20381047)       | male (wd:Q6581097) |
| Hisoka (wd:Q2280812)              | male (wd:Q6581097) |
| Kurapika (wd:Q2537895)            | male (wd:Q6581097) |
| Leorio Paladiknight (wd:Q2611418) | male (wd:Q6581097) |
| Gon Freecss (wd:Q2717608)         | male (wd:Q6581097) |
| Killua Zoldyck (wd:Q2717625)      | male (wd:Q6581097) |

[Assistant]
The query results show that all the main characters listed for Hunter x Hunter are male. Therefore, there are no female main characters among the ones listed.

To confirm this and ensure we haven't missed any female main characters, let's run an ASK query to check if there are any female main characters in the series.

Here is the ASK query:

```sparql
ASK WHERE {
  wd:Q696071 wdt:P674 ?character .
  ?character wdt:P21 wd:Q6581071 .
}
```

This query checks if there is any character in the Hunter x Hunter series who is female (wd:Q6581071).

[Tool] False

[Assistant]
The ASK query returned `False`, confirming that there are no female main characters in the Hunter x Hunter series among the characters listed.

Therefore, the answer to the question "Is there a female main character in Hunter x Hunter?" is **False**.

Here is the final SPARQL query and answer:

```sparql
ASK WHERE {
  wd:Q696071 wdt:P674 ?character .
  ?character wdt:P21 wd:Q6581071 .
}
```

Answer: **False**

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?pose ?numSeasons WHERE {
  ?pose wdt:P31 wd:Q5398426 ; rdfs:label "Pose" @en ; wdt:P2437 ?numSeasons .
}

Pose has 3 seasons.

[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 seasons does Pose have?

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

[Tool]
Example 1:
Question:
What is the name of the university where Obama's wife studied?

SPARQL:
SELECT DISTINCT ?uri ?institute WHERE {
  wd:Q76 wdt:P26 / wdt:P69 / wdt:P361 * ?uri .
  ?uri wdt:P31 * / wdt:P279 * wd:Q3918 .
}

Using entities:
university, also known as uni, universities (wd:Q3918): academic institution for further education
Barack Obama, also known as Honorable Barack Obama, BHO, Obama, Barry O Bomber, President Obama (wd:Q76): president of the United States from 2009 to 2017, community organizer, political writer, statesperson, politician, podcaster, memoirist, academic, lawyer, jurist

Using properties:
spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt): educational institution attended by subject, affiliation

Example 2:
Question:
Which companies work in the aerospace industry as well as in medicine?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?type wdt:P279 * wd:Q4830453 .
  ?aerospace wdt:P279 * wd:Q3477363 .
  ?healthcare wdt:P279 * wd:Q15067276 .
  ?pharma wdt:P279 * wd:Q507443 .
  ?uri wdt:P452 ?aerospace ; wdt:P452 ?healthcare .
}

Using entities:
health care industry, also known as healthcare industry, health industry, medical care industry, medical industry (wd:Q15067276): industry dedicated to providing health care services and products
aerospace industry, also known as aircraft industry (wd:Q3477363): industrial sector
business (wd:Q4830453): organization undertaking commercial, industrial, or professional activity
pharmaceutical industry, also known as drug industry, pharma, pharmaceutical wholesaler, pharma industry (wd:Q507443): develops, produces, and markets drugs or pharmaceuticals licensed for use as medications

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
industry, also known as branch, economic branch, field of action, field of exercise, sector (wd:P452 as wdt): specific industry of company or organization, part of

Example 3:
Question:
What is the highest place of the Urals?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q35600 wdt:P610 ?uri .
}

Using entities:
Ural Mountains, also known as the Urals, Urals (wd:Q35600): mountain range in Russia

Using properties:
highest point, also known as tallest point, zenith, summit, pinnacle, highest peak (wd:P610 as wdt): point with highest elevation in a region or path, has part(s)

[Assistant] Based on the examples, we need to identify the entity for the TV show "Pose" and then find the property that indicates the number of seasons. Let's start by searching for the entity "Pose".

[Tool]
Top 10 entity alternatives:
1. 2D Human Pose Estimation in TV Shows (wd:Q57588979)
2. television program, also known as TV show, television broadcast, T.V. show, T. V. show, TV programme (wd:Q15416): segment of audiovisual content intended for broadcast on television
3. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
4. Show TV (wd:Q2006738): Turkish television station
5. TV Show (wd:Q3281229): 2007 album by Sergey Lazarev
6. reality television, also known as reality TV program, TV reality show, TV reality program, television reality show, television reality program (wd:Q182415): genre of television programming that documents unscripted situations and actual occurrences
7. Showtime, also known as Showtime (TV network), Showtime TV, Showtime Networks, Showtime Entertainment, SHO (wd:Q23589): American premium cable TV channel
8. television presenter, also known as television anchor, TV show host, TV presenter, TV host, TV anchor (wd:Q947873): person who introduces or hosts television programs
9. variety show, also known as television variety program, television variety show, variety, variety entertainment, variety program (wd:Q336181): television genre characterized by a series of specialty acts such as music, dance, comedy, magic, acrobatics and ventriloquism
10. reality show, also known as reality television program, TV reality show, TV reality program, television reality show, television reality program (wd:Q3421644): television genre

[Assistant] From the search results, the correct entity for the TV show "Pose" seems to be missing. Let me try a more specific search to find the exact entity for "Pose".

[Tool]
Top 10 entity alternatives:
1. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
2. TV Séries (wd:Q10377585): Brazilian magazine
3. TV Series (wd:Q50816416): academic journal
4. season, also known as series of television program, TV series, TV season, television series, television season (wd:P4908): season of a series (televison, web, podcast)
5. miniseries, also known as event series, TV miniseries, TV mini series, television miniseries, mini-series (wd:Q1259759): TV shows or series that have a predetermined number of episodes
6. Halo, also known as Halo: The Television Series, Halo (TV Series) (wd:Q55279915): television series
7. children's television series, also known as children's TV series, kids tv, kids TV series (wd:Q1273568): television programs designed for, and marketed to children
8. Chinese television drama, also known as cdrama, C-drama, Chinese drama, Chinese drama serial, Chinese drama series (wd:Q28195059): Chinese television drama series originating from Mainland China or the Greater China region
9. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series
10. drama television series, also known as drama TV series, dramatic television series, television drama series, TV drama series, drama series (wd:Q1366112): television series genre

[Assistant] It appears that the specific entity for the TV show "Pose" is still not listed. However, the first result "television series" (wd:Q5398426) is a general entity for TV series. We can use this to look for the specific entity for "Pose". Let's try a more targeted search using the property "instance of" (wdt:P31) to find the specific entity for "Pose".

[Tool]
Got 75,111 rows and 3 columns, showing the first 10 rows below:
| subject                            | property              | object                          |
| ---------------------------------- | --------------------- | ------------------------------- |
| Game of Thrones (wd:Q23572)        | instance of (wdt:P31) | television series (wd:Q5398426) |
| Liv and Maddie (wd:Q8172269)       | instance of (wdt:P31) | television series (wd:Q5398426) |
| The Big Bang Theory (wd:Q8539)     | instance of (wdt:P31) | television series (wd:Q5398426) |
| Friends (wd:Q79784)                | instance of (wdt:P31) | television series (wd:Q5398426) |
| Squid Game (wd:Q106582931)         | instance of (wdt:P31) | television series (wd:Q5398426) |
| Teletubbies (wd:Q41403)            | instance of (wdt:P31) | television series (wd:Q5398426) |
| Breaking Bad (wd:Q1079)            | instance of (wdt:P31) | television series (wd:Q5398426) |
| Doctor Who (wd:Q34316)             | instance of (wdt:P31) | television series (wd:Q5398426) |
| Lost (wd:Q23567)                   | instance of (wdt:P31) | television series (wd:Q5398426) |
| How I Met Your Mother (wd:Q147235) | instance of (wdt:P31) | television series (wd:Q5398426) |
| ...                                | ...                   | ...                             |

[Assistant] The list of television series includes many popular shows, but "Pose" is not among the first few entries. To find the specific entity for "Pose," let's use a more direct search with the full name "Pose (TV series)".

[Tool]
Top 10 entity alternatives:
1. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
2. TV Séries (wd:Q10377585): Brazilian magazine
3. TV Series (wd:Q50816416): academic journal
4. season, also known as series of television program, TV series, TV season, television series, television season (wd:P4908): season of a series (televison, web, podcast)
5. miniseries, also known as event series, TV miniseries, TV mini series, television miniseries, mini-series (wd:Q1259759): TV shows or series that have a predetermined number of episodes
6. Halo, also known as Halo: The Television Series, Halo (TV Series) (wd:Q55279915): television series
7. children's television series, also known as children's TV series, kids tv, kids TV series (wd:Q1273568): television programs designed for, and marketed to children
8. Chinese television drama, also known as cdrama, C-drama, Chinese drama, Chinese drama serial, Chinese drama series (wd:Q28195059): Chinese television drama series originating from Mainland China or the Greater China region
9. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series
10. drama television series, also known as drama TV series, dramatic television series, television drama series, TV drama series, drama series (wd:Q1366112): television series genre

[Assistant]
It seems that the specific entity for "Pose (TV series)" is still not appearing in the search results. Let's try a different approach by searching for the property that indicates the number of seasons for a TV series and then use that property to find the number of seasons for "Pose."

First, let's search for the property "number of seasons" or "seasons" in Wikidata.

[Tool]
Top 10 property alternatives:
1. number of seasons, also known as no. of seasons, no. of series, number of series, seasons (wd:P2437 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): number of seasons a television or radio series has had, number of parts of this work
2. sports season of league or competition, also known as sport season, seasons of, edition of annual athletics meeting, season of sports tournament, season of sports league (wd:P3450 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): property that shows the competition of which the item is a season. Use P5138 for "season of club or team"., part of
3. season, also known as TV series, television season, TV season, television series, series of television program (wd:P4908 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): season of a series (televison, web, podcast), part of
4. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): qualifier to narrow down the precision of a date not fully specified by the Wikidata time datatype precision field
5. volume, also known as volume of serial, volume of a book, volume number, vol., tome (wd:P478 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): volume of a book or music release in a collection/series or a published collection of journal issues in a serial publication
6. season of club or team, also known as season of athletics program, season of club, season of team, sports season of club or team (wd:P5138 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): club or team that played the season
7. season ends (wd:P6118 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): to indicate what month of the year a sports season ends
8. number of episodes, also known as series length, no. of episodes, episodes, episode count (wd:P1113 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): number of episodes in a film/TV/radio series, number of parts of this work
9. season starts, also known as season begins (wd:P4794 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): month or season when sports competition begins
10. valid in period, also known as valid in season, valid for season, valid for period, valid for, time period (wd:P1264 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): time period when a statement is valid

[Assistant]
The property "number of seasons" (wd:P2437) is the one we need to find the number of seasons for a TV series. Now, let's use this property to find the number of seasons for "Pose." Since the specific entity for "Pose" is still not clear, I will try to find it again using a more targeted search.

Let's search for "Pose" and then use the property "number of seasons" to get the number of seasons.

[Tool]
Top 10 entity alternatives:
1. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
2. TV Séries (wd:Q10377585): Brazilian magazine
3. TV Series (wd:Q50816416): academic journal
4. season, also known as series of television program, TV series, TV season, television series, television season (wd:P4908): season of a series (televison, web, podcast)
5. miniseries, also known as event series, TV miniseries, TV mini series, television miniseries, mini-series (wd:Q1259759): TV shows or series that have a predetermined number of episodes
6. Halo, also known as Halo: The Television Series, Halo (TV Series) (wd:Q55279915): television series
7. children's television series, also known as children's TV series, kids tv, kids TV series (wd:Q1273568): television programs designed for, and marketed to children
8. Chinese television drama, also known as cdrama, C-drama, Chinese drama, Chinese drama serial, Chinese drama series (wd:Q28195059): Chinese television drama series originating from Mainland China or the Greater China region
9. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series
10. drama television series, also known as drama TV series, dramatic television series, television drama series, TV drama series, drama series (wd:Q1366112): television series genre

[Assistant]
It seems that the specific entity for "Pose (TV series)" is still not appearing in the search results. Let's try a more direct approach by constructing a SPARQL query to find the entity for "Pose" and then use the property "number of seasons" to get the number of seasons.

We will use the property "instance of" (wdt:P31) to filter for TV series and then look for the specific entity for "Pose."

Here is the SPARQL query to find the entity for "Pose" and the number of seasons:

```sparql
SELECT ?pose ?numSeasons WHERE {
  ?pose wdt:P31 wd:Q5398426 ;
        rdfs:label "Pose"@en ;
        wdt:P2437 ?numSeasons .
}
```

Let's execute this query to find the number of seasons for "Pose."

[Tool]
Got 1 row and 2 columns:
| pose                | numSeasons      |
| ------------------- | --------------- |
| Pose (wd:Q30603704) | 3 (xsd:decimal) |

[Assistant]
The SPARQL query successfully found the entity for "Pose" and the number of seasons. According to the results, "Pose" has 3 seasons.

Here is the final SPARQL query and the answer:

```sparql
SELECT ?pose ?numSeasons WHERE {
  ?pose wdt:P31 wd:Q5398426 ;
        rdfs:label "Pose"@en ;
        wdt:P2437 ?numSeasons .
}
```

Answer: Pose has 3 seasons.

Now, I will provide the final answer using the `answer` function.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( ?award ) AS ?count ) WHERE {
  wd:Q312674 wdt:P166 ?award .
  ?award wdt:P31 wd:Q1011547 .
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 2 (xsd:int) |

Giorgio Moroder has won the Golden Globe Award 2 times.

[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 times has Giorgio Moroder won golden globe award?

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

[Tool]
Example 1:
Question:
Give me all breeds of the German Shepherd dog.

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P279 * wd:Q38280 FILTER ( ?uri != wd:Q38280 )
}

Using entities:
German Shepherd, also known as GSD, Alsatian dog, Alsatian, Alsatian wolf dog (wd:Q38280): German breed of dog

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain

Example 2:
Question:
What airlines are part of the SkyTeam alliance?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P114 wd:Q212282 .
}

Using entities:
SkyTeam, also known as Sky Team (wd:Q212282): global airline alliance

Using properties:
airline alliance (wd:P114 as wdt): alliance the airline belongs to, member of

Example 3:
Question:
How many seats does the home stadium of FC Porto have?

SPARQL:
SELECT DISTINCT ?num WHERE {
  wd:Q128446 wdt:P115 / wdt:P1083 ?num
}

Using entities:
FC Porto, also known as Porto, Futebol Clube do Porto, Football Club of Porto, FCPorto, F.C. Porto (wd:Q128446): professional association football club based in Porto, Portugal

Using properties:
maximum capacity, also known as capacity, complement, crew, number of seats, seating capacity (wd:P1083 as wdt): number of people allowed for a venue or vehicle
home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as wdt): home stadium or venue of a sports team or applicable performing arts organization, location

[Assistant] Based on the examples, we need to identify the entity for Giorgio Moroder and the property for winning Golden Globe awards. Let's first search for Giorgio Moroder.

[Tool]
Top 10 entity alternatives:
1. Giorgio Moroder, also known as Hansjörg Moroder, Giovanni Giorgio Moroder (wd:Q312674): Italian record producer and composer, film score composer, record producer, film producer, disc jockey, songwriter, composer
2. Giorgio by Moroder (wd:Q15720519): 2013 song by Daft Punk
3. Metropolis, also known as Giorgio Moroder Presents Metropolis (wd:Q76367460): 1984 version by Giorgio Moroder
4. Philip Oakey & Giorgio Moroder (wd:Q7184164): 1989 self-titled studio album by Philip Oakey & Giorgio Moroder
5. Giorgione, also known as Giorgon, Giorgioni di Castelfranco, Giorgioni da Castel Franco, Giorgioni, Giorgione of Castel Franco (wd:Q8459): Venetian Renaissance painter (1478–1510), visual artist, painter
6. Rubén Omar Romano, also known as Rubén Romano, Rubén Omar Romano Cachía, Ruben Omar Romano, Giorgio (wd:Q322982): Argentine footballer and manager, association football manager, association football player
7. Giorgio (wd:Q5563455): 1958 single by Lys Assia
8. Giorgio, also known as Giorgio (first name), Giorgio (given name) (wd:Q12900074): male given name
9. Moroder (wd:Q18288660): family name
10. Giorgio (wd:Q37251262): family name

[Assistant] The correct entity for Giorgio Moroder is `wd:Q312674`. Next, let's search for the property related to winning awards, specifically the Golden Globe Award.

[Tool]
Top 10 property alternatives:
1. nominee, also known as award nominee (wd:P2453 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): qualifier used with “nominated for” to specify which person or organization was nominated
2. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
3. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): award or recognition received by a person, organization or creative work
4. parent astronomical body, also known as star, primary, parent body, orbits, planetary system (wd:P397 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): major astronomical body the item belongs to
5. together with, also known as with, tied with, award shared with, shared with, roommate (wd:P1706 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): qualifier to specify the item that this property is shared with
6. Academy Awards Database nominee ID, also known as Oscar nominee ID (wd:P6150 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): identifier for nominees in the official Academy Awards database
7. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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
8. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
9. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): person or organization who grants an award, certification, grant, or role
10. Emmys person ID, also known as Emmys ID (wd:P8381 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): identifier for Emmys person ID

[Assistant]
The property for "award received" is `wd:P166`. We need to check if Giorgio Moroder has received the Golden Globe Award. Let's execute a SPARQL query to find out.

We will use the `wdt:P166` property to find the awards received by Giorgio Moroder and filter by the Golden Globe Award.

First, let's find the entity for the Golden Globe Award.

[Tool]
Top 10 entity alternatives:
1. Golden Globe Awards, also known as Golden Globes (wd:Q1011547): award of the Hollywood Foreign Press Association
2. Golden Globe Awards, also known as Golden Globes (wd:Q1011547): award of the Hollywood Foreign Press Association
3. Golden Globe Award ceremony (wd:Q19311591)
4. Golden Globe (film/television award) (wd:L365855-S1)
5. 72nd Golden Globe Awards, also known as Golden Globe Awards 2015 (wd:Q17278465): award ceremony
6. 73rd Golden Globe Awards (wd:Q21094897): Golden Globe Award ceremony
7. 70th Golden Globe Awards (wd:Q490861): award ceremony
8. 74th Golden Globe Awards, also known as Golden Globe 2017 (wd:Q26212578): Golden Globe Award ceremony
9. 69th Golden Globe Awards (wd:Q8671): award for best in film and television of 2011
10. 71st Golden Globe Awards (wd:Q15139147): award ceremony

[Assistant]
The correct entity for the Golden Globe Award is `wd:Q1011547`. Now, let's construct a SPARQL query to find out how many times Giorgio Moroder has won the Golden Globe Award.

We will use the `wdt:P166` property to find the awards received by Giorgio Moroder and filter by the Golden Globe Award.

Here is the SPARQL query:

```sparql
SELECT (COUNT(?award) AS ?count)
WHERE {
  wd:Q312674 wdt:P166 ?award .
  ?award wdt:P31 wd:Q1011547 .
}
```

This query counts the number of times Giorgio Moroder has received an award that is an instance of the Golden Globe Award.

Let's execute this query.

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 2 (xsd:int) |

[Assistant]
The SPARQL query results show that Giorgio Moroder has won the Golden Globe Award 2 times.

Therefore, the answer to the question is:

Giorgio Moroder has won the Golden Globe Award 2 times.

Let's finalize this with the answer function.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?creator WHERE {
  wd:Q2394280 wdt:P170 ?creator .
}

William Hanna

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

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

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

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

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

[User] Who was the creator of Boo-Boo Bear ?

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

[Tool]
Example 1:
Question:
How big is the earth's diameter?

SPARQL:
SELECT ?c WHERE {
  wd:Q2 wdt:P2386 ?c .
}

Using entities:
Earth, also known as World, The Blue Planet, Planet Earth, Mother Earth (wd:Q2): third planet from the Sun in the Solar System

Using properties:
diameter, also known as ⌀, diametre (wd:P2386 as wdt): diameter of a circular or spherical object

Example 2:
Question:
How many programming languages are there?

SPARQL:
SELECT ( COUNT( DISTINCT ?sub ) AS ?count ) WHERE {
  ?sub wdt:P31 / wdt:P279 * wd:Q9143 .
}

Using entities:
programming language, also known as coding language, computer language, computer programming, computer programming language (wd:Q9143): language for communicating instructions to a machine

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
Who created Family Guy?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q5930 wdt:P170 ?uri
}

Using entities:
Family Guy (wd:Q5930): American adult animated sitcom

Using properties:
creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt): maker of this creative work or other object (where no more specific property exists)

[Assistant] Based on the examples, we need to identify the entity for "Boo-Bou Bear" and the property for "creator". Let's start by searching for the entity "Boo-Boo Bear".

[Tool]
Top 10 entity alternatives:
1. Boo-Boo Bear, also known as Boo Boo (wd:Q2394280): fictional character in Yogi Bear
2. Yogi Bear and Boo-Boo Bear, also known as Boo Boo and Yogi, Boo-Boo Bear and Yogi Bear, Yogi and Boo Boo (wd:Q132184386): fictional characters from Yogi Bear
3. Ursidae, also known as bear, bear family, ursid, ursids (wd:Q11788): family of mammals
4. Ursus, also known as 🐻 (wd:Q243359): genus of mammals
5. Tu-95, also known as Bear, Tu-95 Bear (wd:Q181815): bomber aircraft family by Tupolev
6. Bégard, also known as Bear (wd:Q217002): commune in Côtes-d'Armor, France
7. short, also known as bear, going short, selling short, shorting, short position (wd:Q106526): practice of selling securities or other financial instruments that are not currently owned
8. Jack Nicklaus, also known as Golden Bear, William Nicklaus, Karnak, Jack William Nicklaus, Bear (wd:Q9424): golf course designer, American golfer, golfer
9. Bear, also known as Bear, DE (wd:Q755632): census-designated place in Delaware, United States
10. bear, also known as bear community, gay bears, gay bear community, bear culture, gay bear (wd:Q618804): term in gay culture for heavily hairy, and usually muscular and bearded men

[Assistant] The correct entity for "Boo-Boo Bear" is "wd:Q2394280". Now let's search for the property "creator" to find out who created Boo-Boo Bear.

[Tool]
Top 10 property alternatives:
1. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): entity (person, organization, etc.) that caused a record or collection to be produced or gathered
2. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): founder or co-founder of this organization, religion, place or entity, creator
3. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): maker of this creative work or other object (where no more specific property exists)
4. author, also known as writer, written by, poet, playwright, maker (wd:P50 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
5. author name string, also known as short author name, writer named as, writer name, writer indicated as, songwriting credits string (wd:P2093 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): stores unspecified author or editor name for publications; use i...or editor (P98) does not exist or is not known. Do not use both.
6. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): notable scientific, artistic or literary work, or other work of significance among subject's works
7. possible creator, also known as creator (possible), attributed to (wd:P1779 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): for a creative work with considerable uncertainty about the author
8. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): organization or person that developed the item, creator
9. fabrication method, also known as process used, method of cooking, preparation method, obtained by, method used (wd:P2079 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): method, process or technique used to grow, cook, weave, build, assemble, manufacture the item, uses
10. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): text through which an institution or object has been created or established

[Assistant]
The correct property for "creator" is "wd:P170". Now we can construct a SPARQL query to find the creator of Boo-Boo Bear.

```sparql
SELECT ?creator WHERE {
  wd:Q2394280 wdt:P170 ?creator .
}
```

Let's execute this query.

[Tool]
Got 1 row and 1 column:
| creator                    |
| -------------------------- |
| William Hanna (wd:Q263324) |

[Assistant]
The creator of Boo-Boo Bear is William Hanna.

Here is the final SPARQL query:

```sparql
SELECT ?creator WHERE {
  wd:Q2394280 wdt:P170 ?creator .
}
```

And the answer is William Hanna.

[Tool] Stopped generation process