PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?director ?directorLabel WHERE {
  wd:Q28091065 wdt:P57 ?director .
  OPTIONAL {
    ?director rdfs:label ?directorLabel FILTER ( LANG( ?directorLabel ) = "en" )
  }
}

Using entities:
- Anne with an E (wd:Q28091065): is instance of serial / is instance of television series / Canadian drama television series

Using properties:
- director (wd:P57 as wdt), also known as directed by, film director, game director, movie director, P57: is subproperty of creator / is subproperty of contributor to the creative work or subject / director(s) of film, TV-series, stageplay, video game or similar / director(s) of this motion picture, TV series, stageplay, video game or similar / director(s) of this motion picture, TV series, stageplay, video game or similar

Answer: The director of the TV series "Anne with an E" is Niki Caro.

The director of the TV series "Anne with an E" is Niki Caro.

SPARQL query over wikidata:
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?director ?directorLabel WHERE {
  wd:Q28091065 wdt:P57 ?director .
  OPTIONAL {
    ?director rdfs:label ?directorLabel FILTER ( LANG( ?directorLabel ) = "en" )
  }
}

Using entities:
- Anne with an E (wd:Q28091065): is instance of serial / is instance of television series / Canadian drama television series

Using properties:
- director (wd:P57 as wdt), also known as directed by, film director, game director, movie director, P57: is subproperty of creator / is subproperty of contributor to the creative work or subject / director(s) of film, TV-series, stageplay, video game or similar / director(s) of this motion picture, TV series, stageplay, video game or similar / director(s) of this motion picture, TV series, stageplay, video game or similar

Execution result:
Got 1 row and 2 columns:
| director               | directorLabel       |
| ---------------------- | ------------------- |
| Niki Caro (wd:Q449163) | Niki Caro (lang:en) |

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Who directed Anne with an E ?

[Assistant]
Step 1: Identify the entity "Anne with an E" in Wikidata. It is likely a TV series or show.

I will search for the entity "Anne with an E" in Wikidata to get its identifier.

Question: Anne with an E

Top 10 entity alternatives:
1. Anne with an E (wd:Q28091065): is instance of television series / Canadian drama television series / is instance of serial
2. Anne Linda Chisa (wd:Q109236706, matched via Anne with an E), also known as Anne with an E: has occupation podcaster / South African academic / is instance of human
3. Anne with an E, season 1 (wd:Q30897460): is instance of television series season / Wikimedia list article / is instance of series
4. Anne with an E, season 2 (wd:Q56327877): is instance of television series season / season of Anne with an E / is instance of series
5. Anne with an E, season 3 (wd:Q97370516): is instance of television series season / season of Anne with an E / is instance of series
6. An Intimate Evening with Anne Murray (wd:Q4750087): is instance of album / live album
7. Everything Starts With An 'E' (wd:Q17113224): is instance of musical work/composition / 1989 song performed by E-Zee Possee
8. An Evening with Erasure (wd:Q5673621): is instance of album / 1997 album
9. Everything Starts with an E (wd:Q131928288): scientific article published in August 2001 / is instance of scholarly article / is instance of academic article
10. Live Body: An interview with Anne Emmanuelle Berger (wd:Q127594883): is instance of scholarly article / is instance of academic article / scholarly article

[Assistant]
The entity "Anne with an E" as a television series is identified as wd:Q28091065.

Step 2: Identify the property for "director" in Wikidata. I will search for the property "director" to get its identifier.

Question: director

Top 10 property alternatives:
1. director / manager (wd:P1037 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via director), also known as boss, chief, director, director general, general manager, etc.: person who manages any kind of group or organisation / is subproperty of significant person / person who manages any kind of group / person who manages any kind of group
2. director (wd:P57 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt), also known as directed by, film director, game director, movie director, P57: director(s) of this motion picture, TV series, stageplay, video game or similar / director(s) of this motion picture, TV series, stageplay, video game or similar / director(s) of film, TV-series, stageplay, video game or similar / is subproperty of contributor to the creative work or subject / is subproperty of creator
3. choreographer (wd:P1809 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via dance director), also known as choreographed by, dance director, P1809: person(s) who did the choreography
4. producer (wd:P162 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via film producer), also known as creative producer, film producer, musical producer, music producer, produced by, etc.: person(s) who produced the film, musical work, theatrical ... [for production company, use P272, video games - use P178] / producer(s) of this film or music work (film: not executive producers, associate producers, etc.)
5. director of photography (wd:P344 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt), also known as cinematographer, DOP, P344: person responsible for the framing, lighting, and filtration of the subject work / person responsible for the framing, lighting and filtration of the subject work / person responsible for the framing, lighting and filtration of the subject work / is subproperty of film crew member
6. editor (wd:P98 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via publication director), also known as associate editor, compiled by, ed., edited by, editorial director, etc.: person who checks and corrects a work (such as a book, ... the text of an ancient written work or manuscript. / editor of a compiled work such as a book or academic journal / editor of a compiled work such as a book or academic journal
7. film editor (wd:P1040 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt), also known as edited by, editing by, editor, P1040: person who works with the raw footage, selecting shots and combining them into sequences to create a finished motion picture / is subproperty of film crew member
8. manufacturer (wd:P176 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via producer), also known as assembled by, assembler, brewed by, brewer, builder, etc.: (main or final) manufacturer or producer of this product / manufacturer or producer of this product
9. director of archaeological fieldwork (wd:P4345 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via dig director), also known as dig director, director of excavations, excavation director, P4345: person leading the archaeological or anthropological investigation at a given site / is subproperty of significant person
10. executive producer (wd:P1431 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt), also known as P1431: executive producer of a movie, TV show, or other piece of media or entertainment

[Assistant]
The property for "director" in the context of a TV series is wd:P57.

Step 3: Construct a SPARQL query to get the director(s) of the TV series "Anne with an E" (wd:Q28091065) using the property director (wdt:P57).

execute

SELECT ?director ?directorLabel WHERE {
  wd:Q28091065 wdt:P57 ?director .
  OPTIONAL { ?director rdfs:label ?directorLabel FILTER (LANG(?directorLabel) = "en") }
}

[Assistant]
answer

SELECT ?director ?directorLabel WHERE {
  wd:Q28091065 wdt:P57 ?director .
  OPTIONAL { ?director rdfs:label ?directorLabel FILTER (LANG(?directorLabel) = "en") }
}

Answer: The director of the TV series "Anne with an E" is Niki Caro.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?person ?personLabel WHERE {
  ?person wdt:P20 wd:Q934 .
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}
LIMIT 100

Using entities:
- North Pole (wd:Q934), also known as geographic North Pole, terrestrial North Pole: is instance of geographical pole / is instance of Geographical pole / one of the two points where the Earth's axis of rotation intersects its surface

Using properties:
- place of death (wd:P20 as wdt), also known as death location, death place, deathplace, died, died in, etc.: is subproperty of location / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character

Answer: Sigizmund Levanevsky died at the North Pole according to Wikidata.

Sigizmund Levanevsky died at the North Pole according to Wikidata.

SPARQL query over wikidata:
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?person ?personLabel WHERE {
  ?person wdt:P20 wd:Q934 .
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}
LIMIT 100

Using entities:
- North Pole (wd:Q934), also known as geographic North Pole, terrestrial North Pole: is instance of geographical pole / is instance of Geographical pole / one of the two points where the Earth's axis of rotation intersects its surface

Using properties:
- place of death (wd:P20 as wdt), also known as death location, death place, deathplace, died, died in, etc.: is subproperty of location / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character

Execution result:
Got 1 row and 2 columns:
| person                             | personLabel                    |
| ---------------------------------- | ------------------------------ |
| Sigizmund Levanevsky (wd:Q1333099) | Sigizmund Levanevsky (lang:en) |

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Who died at the North Pole?

[Assistant]
Question: north pole

No entity items found

No other items found

[Assistant]
Question: north pole

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

[Assistant]
Question: died

No entity items found

No other items found

[Assistant]
Question: died

Top 10 property alternatives:
1. place of death (wd:P20 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via died), also known as death location, death place, deathplace, died, died in, etc.: most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / is subproperty of location
2. date of death (wd:P570 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via died), also known as date of the end, dead, death, death date, deathdate, etc.: is subproperty of dissolved, abolished or demolished date / is subproperty of dissolved, abolished or demolished / date on which the subject died / date on which the subject died / date on which the subject died / is subproperty of end time
3. cause of death (wd:P509 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via died of), also known as death cause, died of, die from, die of, method of murder, etc.: underlying or immediate cause of death.  Underlying cause ... category, e.g. natural causes, accident, homicide, suicide / underlying or immediate cause of death.  Underlying cause ... category, e.g. natural causes, accident, homicide, suicide / an item describing the cause of a person or specific organism's death. Samples: leukaemia, car crash / medical cause of a person or specific organism's death (not to be confused with P1196)
4. dissolved, abolished or demolished date (wd:P576 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via ceased on), also known as abolished, abolishment date, ceased date, ceased on, ceased publication, etc.: point in time at which the subject (organisation, building) ...  "discontinued date" (P2669) for stopping a product / date or point in time on which the organisation was dissolved/disappeared or the building demolished / is subproperty of end time
5. number of deaths (wd:P1120 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via deaths), also known as dead, death count, death number, deaths, death toll, etc.: total (cumulative) number of people who died since start as a direct result of an event or cause / number of ALL people who died as a direct result of an event or cause / number of ALL people who died as a direct result of an event or cause
6. manner of death (wd:P1196 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via death manner), also known as circumstance of death, death manner, death type, nature of death, type of death, etc.: general circumstances of a person's death; e.g. natural ... mechanism, e.g. heart attack, trauma, pneumonia etc. / general circumstances of a person's death; e.g. natural ... mechanism, e.g. heart attack, trauma, pneumonia etc. / general circumstances of a person's death; e.g. natural ... mechanism, e.g. heart attack, trauma, pneumonia...
7. killed by (wd:P157 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt), also known as assassin, assassinated by, executed by, executioner, killer, etc.: person or organization who killed the subject / is subproperty of significant person / person who killed the subject
8. date of disappearance (wd:P746 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via disappeared), also known as date of missing, disappeared, last known alive before disappearance, last seen, missing since, etc.: date or point of time a missing person was seen or otherwise known to be alive for the last time / is subproperty of end time
9. cause of destruction (wd:P770 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via destroyed by), also known as destroyed by, reason of failure, P770: item which caused the destruction of the subject item / item which caused the destruction of the subject item / is subproperty of has cause
10. destroyed (wd:P3082 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt), also known as class of items destroyed, class of objects destroyed, class of structure destroyed, item destroyed, object destroyed, etc.: physical items destroyed by this event / physical items destroyed by this event

[Assistant]
execute

SELECT ?person ?personLabel WHERE {
  ?person wdt:P20 wd:Q934 .
  OPTIONAL { ?person rdfs:label ?personLabel FILTER(LANG(?personLabel) = "en") }
} LIMIT 100

[Assistant]
answer

SELECT ?person ?personLabel WHERE {
  ?person wdt:P20 wd:Q934 .
  OPTIONAL { ?person rdfs:label ?personLabel FILTER(LANG(?personLabel) = "en") }
} LIMIT 100

Answer: Sigizmund Levanevsky died at the North Pole according to Wikidata.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?character ?characterLabel ?gender ?genderLabel WHERE {
  wd:Q696071 wdt:P674 ?character .
  OPTIONAL {
    ?character wdt:P21 ?gender .
  }
  ?character rdfs:label ?characterLabel .
  FILTER ( LANG( ?characterLabel ) = "en" ) OPTIONAL {
    ?gender rdfs:label ?genderLabel .
    FILTER ( LANG( ?genderLabel ) = "en" )
  }
}
LIMIT 50

Using entities:
- Hunter × Hunter (wd:Q696071), also known as HUNTER × HUNTER, Hunter x Hunter, HXH: is instance of manga series / Japanese manga series

Using properties:
- sex or gender (wd:P21 as wdt), also known as biological sex, gender, gender expression, gender identity, gender or sex, etc.: sex or gender identity: male (Q6581097), female (Q6581072), ... (Q43445). Groups of same gender use subclass of (P279) / sex or gender identity of human or animal. For human: male, ... female organism. Groups of same gender use subclass of (P279) / sexual identity of subject: male (Q6581097), female ... (Q43445). Groups of same gender use "subclass of" (P279)
- characters (wd:P674 as wdt), also known as appears in this work, P674: characters which appear in this item (like plays, operas, operettas, books, comics, films, TV series, video games) / characters which appear in this item (like plays, operas, operettas, books, comics, films, TV series, video games) / characters which appear in this item (like plays, operas, operettas, books, comics, films, TV series, video games)

Got 6 rows and 4 columns:
| character                         | characterLabel                | gender             | genderLabel    |
| --------------------------------- | ----------------------------- | ------------------ | -------------- |
| Ging Freecss (wd:Q20381047)       | Ging Freecss (lang:en)        | male (wd:Q6581097) | male (lang:en) |
| Hisoka (wd:Q2280812)              | Hisoka (lang:en)              | male (wd:Q6581097) | male (lang:en) |
| Kurapika (wd:Q2537895)            | Kurapika (lang:en)            | male (wd:Q6581097) | male (lang:en) |
| Leorio Paladiknight (wd:Q2611418) | Leorio Paladiknight (lang:en) | male (wd:Q6581097) | male (lang:en) |
| Gon Freecss (wd:Q2717608)         | Gon Freecss (lang:en)         | male (wd:Q6581097) | male (lang:en) |
| Killua Zoldyck (wd:Q2717625)      | Killua Zoldyck (lang:en)      | male (wd:Q6581097) | male (lang:en) |

Answer: There is no female main character in Hunter x Hunter according to the characters listed in Wikidata. The main characters are all male.

There is no female main character in Hunter x Hunter according to the characters listed in Wikidata. The main characters are all male.

SPARQL query over wikidata:
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?character ?characterLabel ?gender ?genderLabel WHERE {
  wd:Q696071 wdt:P674 ?character .
  OPTIONAL {
    ?character wdt:P21 ?gender .
  }
  ?character rdfs:label ?characterLabel .
  FILTER ( LANG( ?characterLabel ) = "en" ) OPTIONAL {
    ?gender rdfs:label ?genderLabel .
    FILTER ( LANG( ?genderLabel ) = "en" )
  }
}
LIMIT 50

Using entities:
- Hunter × Hunter (wd:Q696071), also known as HUNTER × HUNTER, Hunter x Hunter, HXH: is instance of manga series / Japanese manga series

Using properties:
- sex or gender (wd:P21 as wdt), also known as biological sex, gender, gender expression, gender identity, gender or sex, etc.: sex or gender identity: male (Q6581097), female (Q6581072), ... (Q43445). Groups of same gender use subclass of (P279) / sex or gender identity of human or animal. For human: male, ... female organism. Groups of same gender use subclass of (P279) / sexual identity of subject: male (Q6581097), female ... (Q43445). Groups of same gender use "subclass of" (P279)
- characters (wd:P674 as wdt), also known as appears in this work, P674: characters which appear in this item (like plays, operas, operettas, books, comics, films, TV series, video games) / characters which appear in this item (like plays, operas, operettas, books, comics, films, TV series, video games) / characters which appear in this item (like plays, operas, operettas, books, comics, films, TV series, video games)

Execution result:
Got 6 rows and 4 columns:
| character                         | characterLabel                | gender             | genderLabel    |
| --------------------------------- | ----------------------------- | ------------------ | -------------- |
| Ging Freecss (wd:Q20381047)       | Ging Freecss (lang:en)        | male (wd:Q6581097) | male (lang:en) |
| Hisoka (wd:Q2280812)              | Hisoka (lang:en)              | male (wd:Q6581097) | male (lang:en) |
| Kurapika (wd:Q2537895)            | Kurapika (lang:en)            | male (wd:Q6581097) | male (lang:en) |
| Leorio Paladiknight (wd:Q2611418) | Leorio Paladiknight (lang:en) | male (wd:Q6581097) | male (lang:en) |
| Gon Freecss (wd:Q2717608)         | Gon Freecss (lang:en)         | male (wd:Q6581097) | male (lang:en) |
| Killua Zoldyck (wd:Q2717625)      | Killua Zoldyck (lang:en)      | male (wd:Q6581097) | male (lang:en) |

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

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

[Assistant]
To answer the question "Is there a female main character in Hunter x Hunter?" we need to:

1. Identify the entity "Hunter x Hunter" in Wikidata.
2. Find the main characters of Hunter x Hunter.
3. Check the gender of these main characters to see if any of them are female.

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

Question: Hunter x Hunter

Top 10 entity alternatives:
1. Hunter × Hunter (wd:Q696071, matched via Hunter x Hunter), also known as HUNTER × HUNTER, Hunter x Hunter, HXH: is instance of manga series / Japanese manga series
2. Hunter × Hunter (wd:Q70209136, matched via Hunter x Hunter), also known as H×H, Hunter x Hunter, HxH: is instance of anime television series / 2011 Japanese anime television series
3. Hunter × Hunter (wd:Q21232458, matched via Hunter x Hunter), also known as Hunter x Hunter, HxH: is instance of anime television series / 1999 Japanese anime television series
4. Hunter × Hunter: Phantom Rouge (wd:Q11398237, matched via Hunter X Hunter: Phantom Rouge), also known as Hunter X Hunter: Phantom Rouge: is instance of аніме-фільм / is instance of anime film / 2013 film by Yūzō Satō
5. Hunter x Hunter: Wonder Adventure (wd:Q63225112), also known as HunterxHunter: Wonder Adventure: is instance of video game / 2012 video game
6. Hunter × Hunter: The Last Mission (wd:Q15205223, matched via Hunter x Hunter: The Last Mission), also known as Hunter x Hunter: The Last Mission: 2013 film by Keiichiro Kawaguchi / is instance of аніме-фільм / is instance of anime film
7. Hunter × Hunter: Nen × Impact (wd:Q124154515, matched via Hunter x Hunter: Nen x Impact), also known as Hunter Hunter Nen Impact, Hunter x Hunter: Nen x Impact, HunterxHunter: NenxImpact: is instance of video game / 2025 video game
8. Hunter × Hunter: Altar of Dragon Vein (wd:Q121774495, matched via Hunter x Hunter: Ryumyaku no Saidan), also known as Hunter x Hunter: Ryumyaku no Saidan: is instance of video game / 2001 video game
9. Monster Hunter Generations (wd:Q20856979, matched via Monster Hunter X), also known as Monster Hunter X: is instance of video game / 2015 Japanese video game
10. Hunter Hunter (wd:Q104398462): 2020 film directed by Shawn Linden / is instance of film

[Assistant]
The entity "Hunter × Hunter" as a manga series is identified as wd:Q696071. Next, I will look for the main characters of this manga series. I will search for properties related to "main character" or "character" for this entity.

Question: character

Top 10 property alternatives:
1. characters (wd:P674 as wdt/p), also known as appears in this work, P674: characters which appear in this item (like plays, operas, operettas, books, comics, films, TV series, video games) / characters which appear in this item (like plays, operas, operettas, books, comics, films, TV series, video games) / characters which appear in this item (like plays, operas, operettas, books, comics, films, TV series, video games)
2. title (wd:P1476 as wdt/p, matched via name), also known as article title, full title, headline, known as, name, etc.: published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work / published title of a work, such as a newspaper article, a literary work, a website, or a performance work / published title of a work, such as a newspaper article, a literary work, a website, or a performance work / is subproperty of name
3. topic's main category (wd:P910 as wdt/p, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
4. start time (wd:P580 as wdt/p, matched via from), also known as began, beginning, building date, effective, effectivity, etc.: indicates the time an item begins to exist or a statement starts being valid / indicates the time an item begins to exist or a statement starts being valid / time an entity begins to exist or a statement starts being valid / is subproperty of point in time
5. instance of (wd:P31 as wdt/p, matched via type), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
6. derivative work (wd:P4969 as wdt/p, matched via incarnation), also known as adaptation, adapted as, cover, derived work, has adaptation, etc.: work created from major part of this artwork; work created from major part of this software / new work of art (film, book, software, etc.) derived from major part of this work
7. author (wd:P50 as wdt/p, matched via maker), also known as co-author, creator, maker, playwright, poet, etc.: main creator(s) of a written work (use on works, not humans); ... name string) when Wikidata item is unknown or does not exist / main creator(s) of a written work (use on works, not humans) / main creator(s) of a written work (use on works, not humans) / is subproperty of creator
8. genre (wd:P136 as wdt/p), also known as artistic genre, art style, film genre, genre of literature, genre of music, etc.: creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic / genre of a creative work or genre in which an artist works
9. published in (wd:P1433 as wdt/p, matched via chapter of), also known as album, article of, chapter of, essay of, music album, etc.: larger work that a given work was published in, like a journal, a website, a collection, a book or a music album / larger work that a given work was published in / is subproperty of part of
10. different from (wd:P1889 as wdt/p, matched via not), also known as confused with, differs from, disambiguated from, distinct from, distinguished from, etc.: item that is different from another item, with which it is often confused / item that is different from another item, with which it may be confused

No other items found

[Assistant]
The property "characters" (wdt:P674) is used to indicate characters which appear in a work. I will use this property to find the characters of Hunter × Hunter (wd:Q696071). Then I will check the gender of these characters to identify if there is any female main character.

execute

SELECT ?character ?characterLabel ?genderLabel WHERE {
  wd:Q696071 wdt:P674 ?character .
  OPTIONAL { ?character wdt:P21 ?gender . }
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
} LIMIT 50

SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '
<title>301 Moved Permanently</title>

301 Moved Permanently'

[Assistant]
The query failed due to the use of SERVICE wikibase:label which is unsupported in this endpoint. I will rewrite the query without this service and manually retrieve labels using rdfs:label with a filter for English language.

SELECT ?character ?characterLabel ?gender ?genderLabel WHERE {
  wd:Q696071 wdt:P674 ?character .
  OPTIONAL { ?character wdt:P21 ?gender . }
  ?character rdfs:label ?characterLabel .
  FILTER(LANG(?characterLabel) = "en")
  OPTIONAL {
    ?gender rdfs:label ?genderLabel .
    FILTER(LANG(?genderLabel) = "en")
  }
} LIMIT 50

Got 6 rows and 4 columns:
| character                         | characterLabel                | gender             | genderLabel    |
| --------------------------------- | ----------------------------- | ------------------ | -------------- |
| Ging Freecss (wd:Q20381047)       | Ging Freecss (lang:en)        | male (wd:Q6581097) | male (lang:en) |
| Hisoka (wd:Q2280812)              | Hisoka (lang:en)              | male (wd:Q6581097) | male (lang:en) |
| Kurapika (wd:Q2537895)            | Kurapika (lang:en)            | male (wd:Q6581097) | male (lang:en) |
| Leorio Paladiknight (wd:Q2611418) | Leorio Paladiknight (lang:en) | male (wd:Q6581097) | male (lang:en) |
| Gon Freecss (wd:Q2717608)         | Gon Freecss (lang:en)         | male (wd:Q6581097) | male (lang:en) |
| Killua Zoldyck (wd:Q2717625)      | Killua Zoldyck (lang:en)      | male (wd:Q6581097) | male (lang:en) |

[Assistant]
The main characters listed for Hunter × Hunter are Ging Freecss, Hisoka, Kurapika, Leorio Paladiknight, Gon Freecss, and Killua Zoldyck, and all of them are male according to the data retrieved.

I will now check if there are any female characters listed for Hunter × Hunter to see if any female character is considered main or notable. I will do this by looking for characters with gender female related to Hunter × Hunter.

SELECT ?character ?characterLabel WHERE {
  wd:Q696071 wdt:P674 ?character .
  ?character wdt:P21 wd:Q6581072 . # female gender
  ?character rdfs:label ?characterLabel .
  FILTER(LANG(?characterLabel) = "en")
} LIMIT 10

[Assistant]
There are no female characters listed under the characters property for Hunter × Hunter in Wikidata. This suggests that there is no female main character in Hunter × Hunter according to the available data.

I will finalize the answer based on this information.

answer

SELECT ?character ?characterLabel ?gender ?genderLabel WHERE {
  wd:Q696071 wdt:P674 ?character .
  OPTIONAL { ?character wdt:P21 ?gender . }
  ?character rdfs:label ?characterLabel .
  FILTER(LANG(?characterLabel) = "en")
  OPTIONAL {
    ?gender rdfs:label ?genderLabel .
    FILTER(LANG(?genderLabel) = "en")
  }
} LIMIT 50

Answer: There is no female main character in Hunter x Hunter according to the characters listed in Wikidata. The main characters are all male.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?numberOfSeasons WHERE {
  wd:Q30603704 wdt:P2437 ?numberOfSeasons .
}

Using entities:
- Pose (wd:Q30603704): is instance of serial / is instance of television series / 2018 American drama television series

Using properties:
- number of seasons (wd:P2437 as wdt), also known as no. of seasons, no. of series, number of series, seasons, P2437: is subproperty of number of parts of a work of art / is subproperty of number of parts of this work / number of seasons a television or radio series has had / number of series a television or radio show has had

Got 1 row and 1 column:
| numberOfSeasons |
| --------------- |
| 3 (xsd:decimal) |

Answer: The TV show Pose has 3 seasons.

The TV show Pose has 3 seasons.

SPARQL query over wikidata:
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?numberOfSeasons WHERE {
  wd:Q30603704 wdt:P2437 ?numberOfSeasons .
}

Using entities:
- Pose (wd:Q30603704): is instance of serial / is instance of television series / 2018 American drama television series

Using properties:
- number of seasons (wd:P2437 as wdt), also known as no. of seasons, no. of series, number of series, seasons, P2437: is subproperty of number of parts of a work of art / is subproperty of number of parts of this work / number of seasons a television or radio series has had / number of series a television or radio show has had

Execution result:
Got 1 row and 1 column:
| numberOfSeasons |
| --------------- |
| 3 (xsd:decimal) |

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] How many seasons does Pose have?

[Assistant]
To answer the question "How many seasons does Pose have?" we need to find the TV show "Pose" in the knowledge graph and then retrieve the number of seasons it has.

Step 1: Search for the entity "Pose" in the knowledge graph.

Question: Pose

Top 10 entity alternatives:
1. Pose (wd:Q30603704): 2018 American drama television series / is instance of television series / is instance of serial
2. posture (wd:Q8514257, matched via pose), also known as attitude, human position, pose: physical configuration that a human or animal body can take / is subclass of spatial arrangement
3. Pose (wd:Q29966944): is instance of single / 2017 song by Rihanna
4. Pose (wd:Q432543): is instance of single / single
5. pose (wd:Q1671968): position and orientation of an object in an image / is instance of technical term
6. Pose (wd:Q108250580): 2021 song by Red Velvet / 2021 song by Red Velvet / is instance of song
7. pose (wd:Q2105738), also known as posing: sustained posture or positioning of the torso and limbs / is subclass of posture
8. Pose (wd:Q85794108): 2021 single by Yo Gotti featuring Lil Uzi Vert / is instance of musical work/composition
9. Pose (wd:Q10352082): Album by Engenheiros do Hawaii / is instance of album
10. Pose (wd:Q25213080): has occupation artist / is instance of human / American artist

[Assistant]
The TV show "Pose" is identified as wd:Q30603704. Now I will look for the property that indicates the number of seasons for this TV show. Common properties related to TV shows include "number of seasons" or "season count."

Step 2: Search for properties related to "number of seasons" or "seasons" for the entity Pose (wd:Q30603704).

Question: season

Top 10 property alternatives:
1. number of seasons (wd:P2437 as wdt/p, matched via seasons), also known as no. of seasons, no. of series, number of series, seasons, P2437: number of seasons a television or radio series has had / number of series a television or radio show has had / is subproperty of number of parts of a work of art / is subproperty of number of parts of this work
2. country of origin (wd:P495 as wdt/p, matched via country), also known as comes from, CoO, country, originates from, origin country, etc.: country of origin of this item (creative work, food, phrase, product, etc.) / country of origin of this item (creative work, food, phrase, product, etc.) / country of origin of this item (creative work, food, phrase, product, etc.) / is subproperty of significant place / is subproperty of country
3. start time (wd:P580 as wdt/p, matched via from), also known as began, beginning, building date, effective, effectivity, etc.: indicates the time an item begins to exist or a statement starts being valid / indicates the time an item begins to exist or a statement starts being valid / time an entity begins to exist or a statement starts being valid / is subproperty of point in time
4. main subject (wd:P921 as wdt/p, matched via of), also known as about, artistic theme, /common/topic/subject, content deals with, content describes, etc.: primary topic of a work (see also P180: depicts) / primary topic of a work (see also P180: depicts) / primary topic of a work (see also P180: depicts) / is subproperty of depicts / primary topic of a work
5. end time (wd:P582 as wdt/p, matched via ends), also known as abolished, cease date, cease operation, cease time, closed, etc.: moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true / indicates the time an item ceases to exist or a statement stops being valid / indicates the time an item ceases to exist or a statement stops being valid / is subproperty of point in time
6. instance of (wd:P31 as wdt/p, matched via is a), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
7. award received (wd:P166 as wdt/p, matched via win), also known as award, awarded, awards, awards received, award won, etc.: award or recognition received by a person, organisation or creative work / award or recognition received by a person, organization or creative work / award or recognition received by a person, organization or creative work / awards received by a person, organisation or creative work
8. image (wd:P18 as wdt/p, matched via still), also known as camera picture, Commons image, drawing, File:, graph, etc.: image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image)
9. original broadcaster (wd:P449 as wdt/p, matched via airs on), also known as aired on, airs on, broadcast on, channel, first air channel, etc.: network(s) or service(s) that originally broadcasted a radio or television programme / network(s) or service(s) that originally broadcast a radio or television program / is subproperty of broadcast by
10. narrative location (wd:P840 as wdt/p, matched via set in), also known as location of narrative, narrative set in, place of setting, place set in, playing in, etc.: the narrative of this work is set in this location / the narrative of the work is set in this location / is subproperty of significant place / is subproperty of depicts

No other items found

[Assistant]
The property "number of seasons" (wdt:P2437) is the appropriate property to find the number of seasons for the TV show "Pose" (wd:Q30603704).

Step 3: Construct and execute a SPARQL query to get the number of seasons of the TV show "Pose" using property wdt:P2437.

execute

SELECT ?numberOfSeasons WHERE { wd:Q30603704 wdt:P2437 ?numberOfSeasons . }

Got 1 row and 1 column:
| numberOfSeasons |
| --------------- |
| 3 (xsd:decimal) |

[Assistant]
answer

SELECT ?numberOfSeasons WHERE { wd:Q30603704 wdt:P2437 ?numberOfSeasons . }

Answer: The TV show Pose has 3 seasons.


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

Using entities:
- Golden Globe Awards (wd:Q1011547), also known as Golden Globes: is instance of group of awards / is instance of award / is subclass of television award / is subclass of film award / award of the Hollywood Foreign Press Association
- Giorgio Moroder (wd:Q312674), also known as Giovanni Giorgio Moroder, Hansjörg Moroder: has occupation film producer / has occupation songwriter / has occupation composer / has occupation Film producer / has occupation disc jockey / has occupation record producer / has occupation film score composer / has occupation DJ / is instance of human / Italian record producer and composer

Using properties:
- award received (wd:P166 as wdt), also known as award, awarded, awards, awards received, award won, etc.: award or recognition received by a person, organisation or creative work / award or recognition received by a person, organization or creative work / award or recognition received by a person, organization or creative work / awards received by a person, organisation or creative work
- instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.: that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform) / type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform

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

Answer: Giorgio Moroder has won the Golden Globe Award 2 times.

Giorgio Moroder has won the Golden Globe Award 2 times.

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

Using entities:
- Golden Globe Awards (wd:Q1011547), also known as Golden Globes: is instance of group of awards / is instance of award / is subclass of television award / is subclass of film award / award of the Hollywood Foreign Press Association
- Giorgio Moroder (wd:Q312674), also known as Giovanni Giorgio Moroder, Hansjörg Moroder: has occupation film producer / has occupation songwriter / has occupation composer / has occupation Film producer / has occupation disc jockey / has occupation record producer / has occupation film score composer / has occupation DJ / is instance of human / Italian record producer and composer

Using properties:
- award received (wd:P166 as wdt), also known as award, awarded, awards, awards received, award won, etc.: award or recognition received by a person, organisation or creative work / award or recognition received by a person, organization or creative work / award or recognition received by a person, organization or creative work / awards received by a person, organisation or creative work
- instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.: that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform) / type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform

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

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] how many times has Giorgio Moroder won golden globe award?

[Assistant]
To answer the question "how many times has Giorgio Moroder won the Golden Globe Award?", I will follow these steps:

1. Identify the entity for Giorgio Moroder in Wikidata.
2. Identify the property for winning an award.
3. Identify the entity for the Golden Globe Award.
4. Query how many times Giorgio Moroder has won the Golden Globe Award.

Let's start by searching for the entity of Giorgio Moroder in Wikidata.

Question: Giorgio Moroder

Top 10 entity alternatives:
1. Giorgio Moroder (wd:Q312674), also known as Giovanni Giorgio Moroder, Hansjörg Moroder: Italian record producer and composer / has occupation film score composer / has occupation record producer / has occupation Film producer / has occupation film producer / has occupation disc jockey / has occupation songwriter / has occupation composer / is instance of human / has occupation DJ
2. Giorgio by Moroder (wd:Q15720519): is instance of musical work/composition / 2013 song by Daft Punk
3. Metropolis (wd:Q76367460, matched via Giorgio Moroder Presents Metropolis), also known as Giorgio Moroder Presents Metropolis: 1984 version by Giorgio Moroder / is instance of film
4. Philip Oakey & Giorgio Moroder (wd:Q7184164): 1989 self-titled studio album by Philip Oakey & Giorgio Moroder / is instance of album
5. Giorgio Napolitano (wd:Q1220): President of Italy from 2006 to 2015 / has occupation journalist / has occupation politician / is instance of human
6. Giorgio Vasari (wd:Q128027), also known as Aretino, Arettino, Dzhordzho Vazari, Georges Vasari, George Vasari, etc.: Italian painter, architect, writer and historian (1511-1574) / has occupation architectural draftsperson / has occupation art historian / has occupation visual artist / has occupation art theorist / has occupation aesthetician / has occupation biographer / has occupation architect / has occupation Architect / has occupation painter / has occupation writer / is instance of human
7. Georges Braque (wd:Q153793, matched via Giorgio Braque), also known as Braque, G. Braque, geo braque, geo. braque, George B., etc.: 20th-century French painter and sculptor / 20th-century French painter and sculptor / French painter and sculptor (1882-1963) / has occupation jewellery designer / has occupation jewelry designer / has occupation scenographer / has occupation draftsperson / has occupation lithographer / has occupation printmaker / has occupation collagist / has occupation designer / has occupation sculptor / has occupation painter / has occupation artist / has occupation drawer / is instance of human
8. Giorgio Chiellini (wd:Q80306): has occupation association football player / Italian association football player / has occupation sports commentator / has occupation soccer player / has occupation lawyer / is instance of human
9. Giorgione (wd:Q8459, matched via Giorgio), also known as Barbarella Giorgio detto il Giorgione, Cavaglier Georgione, Dzhordzhone, G. Barbarelli, genannt Giorgione Georgius Parbarelli, etc.: Venetian Renaissance painter (1478–1510) / has occupation visual artist / has occupation painter / is instance of human

[Assistant]
The entity for Giorgio Moroder in Wikidata is wd:Q312674. Next, I will search for the property related to winning an award. I will search for properties related to "award" or "winning award" to find the appropriate property to use in the query.

Question: award

Top 10 property alternatives:
1. award received (wd:P166 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via award), also known as award, awarded, awards, awards received, award won, etc.: award or recognition received by a person, organisation or creative work / award or recognition received by a person, organization or creative work / award or recognition received by a person, organization or creative work / awards received by a person, organisation or creative work
2. grants (wd:P5460 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via awards), also known as awards, bestows, confers, gives out, P5460: confers degree, honor, award, prize, title, certificate or medal denoting achievement to a person or organization
3. winner (wd:P1346 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via awardee), also known as 1st place medalist, awardee, champ, champion, has winner, etc.: winner of a competition or similar event, not to be used for ... qualified with "for work" (P1686)) or for wars or battles / winner of an event - do not use for awards (use P166 instead), nor for wars or battles / is subproperty of participating team / is subproperty of participant
4. trophy awarded (wd:P4622 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via cup awarded), also known as cup awarded, diploma awarded, medal awarded, P4622: trophy awarded at the end of a selection process or of a ... or finishers under the form of a cup, a medal, a diploma
5. nominee (wd:P2453 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via award nominee), also known as award nominee, P2453: qualifier used with “nominated for” to specify which person or organization was nominated
6. conferred by (wd:P1027 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via awarded by), also known as awarded by, bestowed by, by, conceded by, degree awarded by, etc.: person or organisation who awards a prize to or bestows an honour upon a recipient / person or organization who grants an award, certification, grant, or role
7. nominated for (wd:P1411 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via selected for award), also known as finalist for, finalist for award, have nomination to, nominated for award, nomination received, etc.: award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166)) / award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
8. award rationale (wd:P6208 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via award reason), also known as award citation, award reason, rationale, P6208: qualifier to add short citation explaining the official ... add comments about a person's award. No quote marked needed.
9. together with (wd:P1706 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt, matched via award shared with), also known as accompanied by, alongside, award shared with, feat., featuring, etc.: qualifier to specify the item that this property is shared with
10. inscription (wd:P1684 as pr/pq/p/wdtn/pqn/ps/prn/prv/pqv/psn/psv/wdt), also known as epigraph (inscription), inscriptions, legend, legenda, signature, etc.: inscriptions, markings and signatures on an object / inscriptions, markings and signatures on an object / inscriptions, markings and signatures on an object

[Assistant]
The most appropriate property for winning an award is "award received" (wdt:P166). Next, I will search for the entity for the Golden Globe Award to use it as a filter in the query.

Question: Golden Globe Award

Top 10 entity alternatives:
1. Golden Globe Awards (wd:Q1011547), also known as Golden Globes: award of the Hollywood Foreign Press Association / is subclass of television award / is instance of group of awards / is subclass of film award / is instance of award
2. Golden Globe Award ceremony (wd:Q19311591): is instance of television programme / is instance of television program / is instance of award ceremony / is subclass of award ceremony / is instance of annual event
3. 73rd Golden Globe Awards (wd:Q21094897): is instance of Golden Globe Award ceremony / Golden Globe Award ceremony
4. 72nd Golden Globe Awards (wd:Q17278465), also known as Golden Globe Awards 2015: is instance of Golden Globe Award ceremony / award ceremony
5. 74th Golden Globe Awards (wd:Q26212578), also known as Golden Globe 2017: is instance of Golden Globe Award ceremony / Golden Globe Award ceremony
6. 70th Golden Globe Awards (wd:Q490861): is instance of Golden Globe Award ceremony / award ceremony
7. 69th Golden Globe Awards (wd:Q8671): award for best in film and television of 2011 / is instance of Golden Globe Award ceremony
8. 68th Golden Globe Awards (wd:Q180813): is instance of Golden Globe Award ceremony / award ceremony
9. 67th Golden Globe Awards (wd:Q249397): is instance of Golden Globe Award ceremony / 2010 ceremony honoring film and TV in 2009
10. 71st Golden Globe Awards (wd:Q15139147): is instance of Golden Globe Award ceremony / award ceremony

[Assistant]
The entity for the Golden Globe Awards is wd:Q1011547. Now I will build a SPARQL query to count how many times Giorgio Moroder (wd:Q312674) has received the Golden Globe Award (wd:Q1011547) using the property "award received" (wdt:P166).

execute

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) |

[Assistant]
answer

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

Answer: Giorgio Moroder has won the Golden Globe Award 2 times.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?creator ?creatorLabel WHERE {
  wd:Q2394280 wdt:P170 ?creator .
  OPTIONAL {
    ?creator rdfs:label ?creatorLabel FILTER ( LANG( ?creatorLabel ) = "en" )
  }
}
LIMIT 10

Using entities:
- Boo-Boo Bear (wd:Q2394280), also known as Boo Boo: is instance of Hanna-Barbera character / is instance of video game character / is instance of animated character / is instance of television character / is instance of film character / is instance of CGI character / is instance of anthropomorphic bear / fictional character in Yogi Bear

Using properties:
- creator (wd:P170 as wdt), also known as art by, artist (non-musical), art work by, artwork by, by, etc.: maker of a creative work or other object (where no more specific property exists) / maker of this creative work or other object (where no more specific property exists) / maker of this creative work or other object (where no more specific property exists)

Answer: The creator of Boo-Boo Bear is William Hanna.

The creator of Boo-Boo Bear is William Hanna.

SPARQL query over wikidata:
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?creator ?creatorLabel WHERE {
  wd:Q2394280 wdt:P170 ?creator .
  OPTIONAL {
    ?creator rdfs:label ?creatorLabel FILTER ( LANG( ?creatorLabel ) = "en" )
  }
}
LIMIT 10

Using entities:
- Boo-Boo Bear (wd:Q2394280), also known as Boo Boo: is instance of Hanna-Barbera character / is instance of video game character / is instance of animated character / is instance of television character / is instance of film character / is instance of CGI character / is instance of anthropomorphic bear / fictional character in Yogi Bear

Using properties:
- creator (wd:P170 as wdt), also known as art by, artist (non-musical), art work by, artwork by, by, etc.: maker of a creative work or other object (where no more specific property exists) / maker of this creative work or other object (where no more specific property exists) / maker of this creative work or other object (where no more specific property exists)

Execution result:
Got 1 row and 2 columns:
| creator                    | creatorLabel            |
| -------------------------- | ----------------------- |
| William Hanna (wd:Q263324) | William Hanna (lang:en) |

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- qfn: <http://qlever.cs.uni-freiburg.de/function#
- ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
- qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- Do not ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

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

[Assistant]
Step 1: Identify the main entity and property in the question.
- Main entity: "Boo-Boo Bear"
- Property: "creator" (likely the person who created Boo-Boo Bear)

Step 2: Search for the entity "Boo-Boo Bear" in Wikidata to find its identifier.

Question: Boo-Boo Bear

Top 10 entity alternatives:
1. Boo-Boo Bear (wd:Q2394280), also known as Boo Boo: is instance of Hanna-Barbera character / is instance of video game character / is instance of anthropomorphic bear / is instance of television character / is instance of animated character / fictional character in Yogi Bear / is instance of film character / is instance of CGI character
2. Yogi Bear and Boo-Boo Bear (wd:Q132184386), also known as Boo Boo and Yogi, Boo-Boo Bear and Yogi Bear, Yogi and Boo Boo: fictional characters from Yogi Bear / is instance of fictional duo
3. Ursidae (wd:Q11788, matched via bear), also known as bear, bear family, ursid, ursids: is subclass of carnivora / is subclass of Carnivora / is instance of taxon / family of mammals / family of mammals
4. Ursus maritimus (wd:Q33609, matched via ice bear), also known as ice bear, polar bear, white bear: species of bear native largely within the Arctic Circle / species of bear native largely within the Arctic Circle / species of bear native largely within the Arctic Circle / is instance of apex predator / is instance of Apex predator / is instance of taxon / is subclass of bear
5. Giant panda (wd:Q33602, matched via panda bear), also known as Ailuropoda melanoleuca, panda, panda bear: is instance of taxon / species of mammal / species of mammal
6. Ursus arctos (wd:Q36341, matched via brown bear), also known as brown bear, grizzly bear: is instance of taxon / is subclass of bear / species of mammal / species of mammal / species of mammal / species of mammal
7. Phascolarctos cinereus (wd:Q36101, matched via koala bear), also known as coala, koala, koala bear, koolah: arboreal herbivorous marsupial native to Australia / is instance of taxon
8. Ursa Major (wd:Q8918, matched via Great Bear), also known as Arctus, Arktos, Charles's Wain, Great Bear, Larger Bear, etc.: constellation visible throughout the year in most of the northern hemisphere / constellation visible throughout the year in most of the northern hemisphere / is instance of constellation
9. Ursa Minor (wd:Q10478, matched via Little Bear), also known as Little Bear, Little Dipper, UMi, Ursae Minoris: constellation in the northern celestial hemisphere, containing the northern celestial pole / is instance of constellation
10. wolverine (wd:Q14334, matched via skunk bear), also known as beaver eater, carcajou, glutton, Gulo gulo, quickhatch, etc.: largest land-dwelling species of the family Mustelidae / largest land-dwelling species of the family Mustelidae / is instance of taxon

[Assistant]
The entity "Boo-Boo Bear" is found in Wikidata with the identifier wd:Q2394280. Next, I will search for properties related to "creator" or "author" for this entity to find the creator of Boo-Boo Bear.

Question: creator

Top 10 property alternatives:
1. creator (wd:P170 as wdt/p), also known as art by, artist (non-musical), art work by, artwork by, by, etc.: maker of this creative work or other object (where no more specific property exists) / maker of this creative work or other object (where no more specific property exists) / maker of a creative work or other object (where no more specific property exists)
2. performer (wd:P175 as wdt/p, matched via artist), also known as actor, actress, artist, dancer, musical artist, etc.: actor, musician, band or other performer associated with this role or musical work / actor, musician, music group or other performer associated with this work / is subproperty of contributor to the creative work or subject
3. significant person (wd:P3342 as wdt/p, matched via employee), also known as associated people, associated person, employee, friend, friends, etc.: person linked to the item in any possible way
4. country of citizenship (wd:P27 as wdt/p, matched via citizen of), also known as citizen of, citizenship, country, (legal) nationality, nation, etc.: the object is a country that recognizes the subject as its citizen / the object is a country that recognizes the subject as its citizen / is subproperty of country
5. part of (wd:P361 as wdt/p, matched via of), also known as assembly of, branch of, chain, collateral branch of, component of, etc.: object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670))
6. MusicBrainz artist ID (wd:P434 as wdtn/wdt/p, matched via MBID artist), also known as MB artist ID, MBID artist, P434: identifier for an artist in the MusicBrainz open music encyclopædia / identifier for an artist in the MusicBrainz open music encyclopedia / identifier for an artist in the MusicBrainz open music encyclopedia / artist identifier per the MusicBrainz open music encyclopedia
7. given name (wd:P735 as wdt/p, matched via name), also known as Christian name, first name, forename, middle name, name, etc.: first name or another given name of this person; values used with the property should not link disambiguations nor family names / first name or another given name of this person; values used with the property shouldn't link disambiguations nor family names / first name or another given name of this person; values used with the property shouldn't link disambiguations nor family names / is subproperty of name
8. present in work (wd:P1441 as wdt/p, matched via character in), also known as appeared in, appears in, appears in work, character in, featured in work, etc.: this (fictional or fictionalized) entity, place, or person ... P1343 for entities described in non-fictional accounts) / work in which this fictional entity (Q14897293) or historical ... P1343 for entities described in non-fictional accounts)
9. enemy (wd:P7047 as wdt/p, matched via opponent), also known as arch-enemy, archenemy, archfoe, archnemesis, archrival, etc.: opponent character or group of this fictive character or group / opponent character or group of this character or group / is subproperty of significant person
10. voice actor (wd:P725 as wdt/p, matched via voice actress), also known as dubbed by, seiyu, VA, VO, vocal role as, etc.: performer of a spoken role in a creative work such as ... as qualifier] [use "cast member" (P161) for live acting] / is subproperty of film crew member / is subproperty of cast member

No other items found

[Assistant]
The property "creator" (wdt:P170) is the appropriate property to find the creator of Boo-Boo Bear. I will now query the creator of the entity Boo-Boo Bear (wd:Q2394280) using this property.

execute

SELECT ?creator ?creatorLabel WHERE {
  wd:Q2394280 wdt:P170 ?creator .
  OPTIONAL { ?creator rdfs:label ?creatorLabel FILTER (LANG(?creatorLabel) = "en") }
} LIMIT 10

[Assistant]
The creator of Boo-Boo Bear is William Hanna. I will now provide the final answer with the SPARQL query used.

answer

SELECT ?creator ?creatorLabel WHERE {
  wd:Q2394280 wdt:P170 ?creator .
  OPTIONAL { ?creator rdfs:label ?creatorLabel FILTER (LANG(?creatorLabel) = "en") }
} LIMIT 10

Answer: The creator of Boo-Boo Bear is William Hanna.