PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?resort ) AS ?count ) WHERE {
  ?resort wdt:P31 wd:Q130003 .
  ?resort wdt:P17 wd:Q142 .
}

There have been 262 ski resorts ever in France, according to Wikidata.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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 ski resorts were there ever in France?

[Assistant]
First, I need to identify the following:
1. The entity for "France" in Wikidata.
2. The class or type for "ski resort" in Wikidata.
3. The property that links a ski resort to its country (likely "country" or "located in the country").
4. Since the question asks about all ski resorts that ever existed in France, I should include both current and former ski resorts.

Let me start by searching for the entity "France" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. France, also known as FR, FRA, French Republic (wd:Q142): country in Western Europe
2. France men's national association football team, also known as France, France men's national football team, France national association football team, France national football team, France national soccer team (wd:Q47774): national association football team representing France
3. French Fifth Republic, also known as 5th French Republic, French Republic, French 5th Republic, France, Fifth French Republic (wd:Q200686): current system of government of France (1958–present)
4. Bourbon Restoration in France, also known as France, Kingdom of France (wd:Q207162): period of French history, 1814–1830
5. French Community, also known as France (wd:Q1120363): International political association
6. France at the 2008 Summer Olympics, also known as France (wd:Q146845): sporting event delegation
7. France, also known as French battleship France (wd:Q49644): 1912 Courbet-class battleship
8. France, also known as On a Half Clear Morning (wd:Q76488728): 2021 film directed by Bruno Dumont
9. La France, also known as France (wd:Q3209212): 2007 film by Serge Bozon
10. France (wd:Q5478259): constituency of the European Parliament

[Assistant]
The correct entity for "France" as a country is wd:Q142.

Next, I need to identify the class or type for "ski resort" in Wikidata. I'll search for "ski resort" as an entity.

[Tool]
Top 10 entity alternatives:
1. ski resort, also known as ski field, skifield, skiing centre, ski station, winter sports resort (wd:Q130003): mountainside developed for skiing, snowboarding, and other winter sports
2. Dizin Ski Resort, also known as Dizin (wd:Q259613): ski resort in Karaj County, Iran
3. Masikryong Ski Resort (wd:Q16602030): Ski resort in Kangwon-do, North Korea
4. Sundance Resort, also known as Sundance Ski Resort, Sundance Ski Area, Sundance Mountain Resort (wd:Q2027196): resort in the Wasatch Range in Utah County, Utah, United States
5. Yabuli Ski Resort (wd:Q1005993): ski resort in China
6. Candanchú ski resort, also known as Candanchu, Candanchú (wd:Q588136): ski resort in Spain
7. Perisher Ski Resort (wd:Q1629394): Australian ski resort
8. Brezovica Ski Resort, also known as Brezovica Ski Center (wd:Q16953614): Ski resort in Kosovo
9. Darbandsar Ski Resort (wd:Q5875140): ski resort in Iran
10. Furano Ski Resort (wd:Q5509476): Ski Resort in Furano, Hokkaido

[Assistant]
The class for "ski resort" is wd:Q130003.

Now, I need to find the property that links a ski resort to its country. This is likely "country" or "located in the country." I'll search for properties related to "country."

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): place where a statement is valid, applies to part
2. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): the object is a country that recognizes the subject as its citizen, country
4. country, also known as sovereign state, state, land, host country (wd:P17 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): most specific known birth location of a person, animal or fictional character, location
7. continent (wd:P30 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): continent of which the subject is a part, located in/on physical feature
8. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): geographical place of publication of the edition (use 1st edition when referring to works), significant place
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant]
The property "country" (wd:P17) is the most appropriate to link a ski resort to France.

Now, I need to consider the temporal aspect: "were there ever" implies both current and former ski resorts. In Wikidata, some ski resorts may have a "dissolved, abolished or demolished date" (for former resorts), while others are still active.

To count all ski resorts that ever existed in France, I should select all entities that are instances of "ski resort" (wd:Q130003) and have "country" (wd:P17) France (wd:Q142), regardless of their current status.

Let me draft a SPARQL query to count all such ski resorts.

[Tool]
Failed to call function execute:
The following knowledge graph items are used in the SPARQL query without being known from previous function calls:
wdt:P31

[Tool]
Top 10 property alternatives:
1. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
2. Wikidata property example, also known as e.g., Wikidata property sample, property sample, property example, for example (wd:P1855 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): example where this Wikidata property is used; target item is one...ualifier the property being described given the associated value
3. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
4. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): all resources related by this property are also related by that property, related property
5. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): object that partially overlaps with the subject in its instances, parts, or members, different from
6. model item, also known as specimen, sample, featured item, example item, best example (wd:P5869 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): defines which item is a best practice example of modelling a sub...lue of this property, usage instructions at Wikidata:Model items
7. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.
8. exemplar of, also known as contains work, includes work, contents (wd:P1574 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): Links an individual copy of a work to the item for that work or edition, instance of
9. usage example, also known as sentence, use in a sentence, example sentence (wd:P5831 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): example of how a lexeme (sense) might be used
10. fictional or mythical analog of, also known as fictionalisation of, mythical analog of, fictional version of, fictionalization of, fictional analog of (wd:P1074 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): used to link an entity or class of entities appearing in a creat...with the analogous entity or class of entities in the real world, inspired by

[Tool]
Got 1,747 rows and 3 columns, showing the first 10 rows below:
| subject                               | property              | object                  |
| ------------------------------------- | --------------------- | ----------------------- |
| Val-d'Isère (wd:Q207589)              | instance of (wdt:P31) | ski resort (wd:Q130003) |
| La Thuile (wd:Q35188)                 | instance of (wdt:P31) | ski resort (wd:Q130003) |
| Tignes (wd:Q330899)                   | instance of (wdt:P31) | ski resort (wd:Q130003) |
| Megève (wd:Q259283)                   | instance of (wdt:P31) | ski resort (wd:Q130003) |
| Sankt Anton am Arlberg (wd:Q659996)   | instance of (wdt:P31) | ski resort (wd:Q130003) |
| Saint-Véran (wd:Q476465)              | instance of (wdt:P31) | ski resort (wd:Q130003) |
| La Clusaz (wd:Q530721)                | instance of (wdt:P31) | ski resort (wd:Q130003) |
| La Grave (wd:Q624323)                 | instance of (wdt:P31) | ski resort (wd:Q130003) |
| Saint-Martin-d'Entraunes (wd:Q865733) | instance of (wdt:P31) | ski resort (wd:Q130003) |
| Risoul (wd:Q877518)                   | instance of (wdt:P31) | ski resort (wd:Q130003) |
| ...                                   | ...                   | ...                     |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                                          | property          | object           |
| ---------------------------------------------------------------- | ----------------- | ---------------- |
| Charlie Hebdo (wd:Q1043104)                                      | country (wdt:P17) | France (wd:Q142) |
| Provence (wd:Q101081)                                            | country (wdt:P17) | France (wd:Q142) |
| 1998 FIFA World Cup (wd:Q101730)                                 | country (wdt:P17) | France (wd:Q142) |
| Channel Tunnel (wd:Q10257)                                       | country (wdt:P17) | France (wd:Q142) |
| Occitania (wd:Q104285)                                           | country (wdt:P17) | France (wd:Q142) |
| Sephardi Jews (wd:Q102251)                                       | country (wdt:P17) | France (wd:Q142) |
| European Charter for Regional or Minority Languages (wd:Q106308) | country (wdt:P17) | France (wd:Q142) |
| Forcalquier (wd:Q104431)                                         | country (wdt:P17) | France (wd:Q142) |
| Voulpaix (wd:Q104295)                                            | country (wdt:P17) | France (wd:Q142) |
| Beynost (wd:Q10235)                                              | country (wdt:P17) | France (wd:Q142) |
| ...                                                              | ...               | ...              |

[Tool]
Got 1 row and 1 column:
| count         |
| ------------- |
| 262 (xsd:int) |

[Tool] Stopped generation process


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

The director of 'Anne with an E' is Niki Caro (wd:Q449163).

[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 http://amur:7001

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 break down the question:

1. The user is asking for the director of "Anne with an E".
2. First, I need to identify the entity for "Anne with an E" in Wikidata.
3. Then, I need to find the property for "director".
4. Finally, I will construct a SPARQL query to retrieve the director(s) of "Anne with an E".

Let's start by searching for the entity "Anne with an E" in Wikidata.

[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 most relevant entity for "Anne with an E" is wd:Q28091065, which is described as a Canadian drama television series.

Next, I need to find the property for "director" in Wikidata.

[Tool]
Top 10 property alternatives:
1. director / manager, also known as leader, manager, manager/director, managing director, Officer-in-Charge (wd:P1037 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): position of the head of this item
5. creative director (wd:P12617 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): person who makes high-level creative decisions, director
6. assistant director, also known as second unit director (wd:P5126 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): assistant stage director of a performing arts, film or television production
7. artistic director (wd:P8938 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): person leading the archaeological or anthropological investigation at a given site, significant person

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

Now, I will construct a SPARQL query to retrieve the director(s) (wd:P57) of "Anne with an E" (wd:Q28091065). I will also try to include optional labels for human readability.

[Tool]
Got 1 row and 2 columns:
| director               | directorLabel  |
| ---------------------- | -------------- |
| Niki Caro (wd:Q449163) | Niki Caro (en) |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?person WHERE {
  ?person wdt:P20 wd:Q934 .
}

Sigizmund Levanevsky (wd:Q1333099) died at the North Pole.

[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 http://amur:7001

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 break down the question:

1. The user wants to know which entities (people) died at the North Pole.
2. We need to identify:
   - The entity for "North Pole" in Wikidata.
   - The property for "place of death" in Wikidata.
   - Then, find people whose place of death is the North Pole.

First, let's search for the entity "North Pole" in Wikidata.

[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 most relevant entity for the geographic North Pole is wd:Q934.

Next, let's search for the property "place of death" in Wikidata to find which property is used to indicate where someone died.

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant]
The property "place of death" is wd:P20.

Now, to answer the question, we need to find all entities (likely humans) whose place of death (wd:P20) is the North Pole (wd:Q934).

Let's construct a SPARQL query to find such entities, returning their IRIs and optionally their labels.

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

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK {
  wd:Q696071 wdt:P674 ?character .
  ?character wdt:P21 wd:Q6581072 .
}

No, according to Wikidata, there is no female main character in Hunter x Hunter (manga). All main characters listed are male.

[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 http://amur:7001

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 break down the question:

1. We need to identify the entity for "Hunter x Hunter" (the anime/manga series).
2. We need to identify what constitutes a "main character" (likely a property or qualifier in Wikidata).
3. We need to check if any main character of "Hunter x Hunter" is female.

Step 1: 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]
There are multiple entities for "Hunter x Hunter" in Wikidata, including the manga (wd:Q696071), the 2011 anime (wd:Q70209136), and the 1999 anime (wd:Q21232458). Since the question does not specify which adaptation, I will use the manga series (wd:Q696071) as the primary entity, as it is the original source.

Next, I need to identify how "main character" is represented in Wikidata (likely as a property such as "main character" or "character") and how to determine if a character is female (likely using the "sex or gender" property).

I will search for properties related to "main character" for the entity wd:Q696071.

[Tool]
Top 10 property alternatives:
1. characters, also known as appears in this work (wd:P674 as wdt/p): 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 wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. author, also known as writer, written by, poet, playwright, maker (wd:P50 as wdt/p): 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
4. title, also known as name, titled, page name, original title, known as (wd:P1476 as wdt/p): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
5. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
6. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
7. 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 wdt/p): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
8. MyAnimeList manga ID, also known as Manga ID MAL, MAL manga ID (wd:P4087 as wdt/p): identifier for a manga or novel on MyAnimeList
9. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt/p): time an entity begins to exist or a statement starts being valid, point in time
10. topic's main template, also known as topic has template, topic's main module, topic's main infobox, topic infobox, main template (wd:P1424 as wdt/p): the main template relating to a topic

No other items found

[Assistant]
The property "characters" (wdt:P674) is used to list characters that appear in a work, such as "Hunter x Hunter". However, this property does not distinguish between main and supporting characters.

To refine the answer, I will first retrieve the characters associated with "Hunter x Hunter" using wdt:P674. Then, I will check if any of these characters are female by looking for the "sex or gender" property (likely wdt:P21) with the value "female".

Let me confirm the property for "sex or gender" by searching for it.

[Tool]
Top 10 property alternatives:
1. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
2. grammatical gender, also known as gender (wd:P5185 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): grammatical gender of the word
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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. sexual orientation, also known as sexuality (wd:P91 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): the sexual orientation of the person relative to their declared ...r it has been widely agreed upon by historians after their death
8. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): female form of name or title (for male use P3321)
9. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): male form of name or title (for female use P2521)
10. GSSO ID, also known as Gender, Sex, and Sexual Orientation Ontology ID, GSSO identifier, Gender, Sex, and Sexual Orientation Ontology identifier (wd:P9827 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): identifier for controlled vocabulary in the GSSO (Gender, Sex, and Sexual Orientation) ontology

[Assistant]
The property for "sex or gender" is wdt:P21.

Now, I will search for the entity representing "female" in Wikidata, as this will be needed to filter for female characters.

[Tool]
Top 10 entity alternatives:
1. female organism, also known as ♀, female, female animal, female creature, sex — female (wd:Q43445): organism of the female sex
2. Female (wd:Q639354): 1933 Warner Bros. pre-code film
3. female, also known as female human, women, woman, lady, human female (wd:Q6581072): to be used in "sex or gender" (P21) to indicate that the human s...nder" (P10339) to indicate that a word refers to a female person
4. Female, also known as Fîmeiru ,(Female) (wd:Q5442715): 2005 film directed by Shinya Tsukamoto
5. The Female, also known as Female (wd:Q18708947): 1924 film by Sam Wood
6. female connector, also known as female contact, female fastener, female (wd:Q11659367): gender of connectors and fasteners
7. Female (wd:Q47128284): song by Keith Urban
8. Female (wd:Q5442717): 1933 novel by Donald Henderson Clarke
9. Female (wd:Q130232348): enemy type in the 2023 video game World of Horror
10. Female (wd:Q63650079): theatrical character in the play "Yerma"

[Assistant]
The entity for "female" as a gender for humans is wd:Q6581072.

Now, I will construct a SPARQL query to:
- Get all characters (wdt:P674) of "Hunter x Hunter" (wd:Q696071)
- Check if any of these characters have "sex or gender" (wdt:P21) as "female" (wd:Q6581072)

Since the question is asking if there is at least one such character, I will use an ASK query.

[Tool] False

[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)      |

[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) |

[Tool] Stopped generation process


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

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

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 http://amur:7001

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]
First, I need to identify the entity for the TV series "Pose" in Wikidata. Then, I need to find the property that links a TV series to its number of seasons.

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

[Tool]
Top 10 entity alternatives:
1. Pose (wd:Q30603704): 2018 American drama television series
2. posture, also known as attitude, human position, pose (wd:Q8514257): physical configuration that a human or animal body can take
3. Pose (wd:Q29966944): 2017 song by Rihanna
4. pose (wd:Q1671968): position and orientation of an object in an image
5. Pose (wd:Q432543): single
6. Pose (wd:Q108250580): 2021 song by Red Velvet
7. Pose (wd:Q85794108): 2021 single by Yo Gotti featuring Lil Uzi Vert
8. pose, also known as posing (wd:Q2105738): sustained posture or positioning of the torso and limbs
9. Pose (wd:Q6083341): Album by Second
10. Pose (wd:Q36886624): family name

[Assistant]
The most relevant entity for the TV series "Pose" is wd:Q30603704 (2018 American drama television series).

Next, I need to find the property that indicates the number of seasons for a television series. I'll search for properties related to "number of seasons".

[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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): club or team that played the season
7. season ends (wd:P6118 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): time period when a statement is valid

[Assistant]
The property "number of seasons" (wdt:P2437) is the most relevant for this question.

Now, I will construct a SPARQL query to get the number of seasons for "Pose" (wd:Q30603704) using the property wdt:P2437.

[Tool]
Got 1 row and 1 column:
| numSeasons      |
| --------------- |
| 3 (xsd:decimal) |

[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 http://amur:7001

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 break down the question:

1. Identify the entity for "Giorgio Moroder".
2. Identify the property for "Golden Globe Award" wins.
3. Construct a query to count how many times Giorgio Moroder has won the Golden Globe Award.

First, I will search for the entity "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, I need to identify the property that links Giorgio Moroder to Golden Globe Award wins. This usually involves an "award received" property, and possibly qualifiers to indicate wins.

I will search for properties related to "award" for Giorgio Moroder.

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
2. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as wdt/p): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
3. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as wdt/p): musical instrument that a person plays or teaches or used in a music occupation, uses
4. Academy Awards Database nominee ID, also known as Oscar nominee ID (wd:P6150 as wdt/p): identifier for nominees in the official Academy Awards database
5. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
6. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
9. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/p): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
10. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant]
The property "award received" (wdt:P166) is used to indicate awards won by a person. Now, I need to find the entity for "Golden Globe Award" to filter only those awards.

I will search for the entity "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 main entity for the Golden Globe Awards is wd:Q1011547.

Now, I will check how "award received" (wdt:P166) is used for Giorgio Moroder, and specifically filter for the Golden Globe Award (wd:Q1011547). I will construct a query to count the number of times Giorgio Moroder (wd:Q312674) has received the Golden Globe Award (wd:Q1011547).

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

[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
}

The creator of Boo-Boo Bear is William Hanna (wd:Q263324).

[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 http://amur:7001

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 break down the question:

1. The entity "Boo-Boo Bear" is a fictional character, likely from animation.
2. The property we are interested in is "creator" (who created Boo-Boo Bear).

First, I will search for the entity "Boo-Boo Bear" in Wikidata to get its identifier.

[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 most relevant entity for "Boo-Boo Bear" is wd:Q2394280.

Next, I need to find the property for "creator" to determine who created Boo-Boo Bear. I will search for the property "creator" in Wikidata.

[Tool]
Top 10 property alternatives:
1. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/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
5. author name string, also known as short author name, writer named as, writer name, writer indicated as, songwriting credits string (wd:P2093 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): text through which an institution or object has been created or established

[Assistant]
The most relevant property for "creator" is wd:P170.

Now, I will construct a SPARQL query to find the creator(s) (wd:P170) of Boo-Boo Bear (wd:Q2394280). I will also try to get the label of the creator for better readability.

[Tool]
Got 1 row and 2 columns:
| creator                    | creatorLabel       |
| -------------------------- | ------------------ |
| William Hanna (wd:Q263324) | William Hanna (en) |

[Tool]
Got 1 row and 2 columns:
| creator                    | creatorLabel       |
| -------------------------- | ------------------ |
| William Hanna (wd:Q263324) | William Hanna (en) |

[Tool]
Got 199 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                                        | object                                                                                |
| -------------------------- | ----------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| Boo-Boo Bear (wd:Q2394280) | instance of (wdt:P31)                           | animated character (wd:Q15711870)                                                                                |
| Boo-Boo Bear (wd:Q2394280) | sex or gender (wdt:P21)                         | male (wd:Q6581097)                                                                                |
| Boo-Boo Bear (wd:Q2394280) | given name (wdt:P735)                           | Boo Boo (wd:Q4942729)                                                                                |
| Boo-Boo Bear (wd:Q2394280) | Commons category (wdt:P373)                     | Boo-Boo Bear                                                                                |
| Boo-Boo Bear (wd:Q2394280) | image (wdt:P18)                                 | <http://commons.wikimedia.org/wiki/Special:FilePath/Yogi%20Bear%20and%20son%2C%20Storybook%20Land%20Park%2C%20Aberdeen%2C%20South%20Dakota%20%28LOC%29%20-%20Flickr%20-%20The%20Library%20of%20Congress.jpg> |
| Boo-Boo Bear (wd:Q2394280) | country of citizenship (wdt:P27)                | United States (wd:Q30)                                                                                |
| Boo-Boo Bear (wd:Q2394280) | part of (wdt:P361)                              | Yogi Bear and Boo-Boo Bear (wd:Q132184386)                                                                                |
| Boo-Boo Bear (wd:Q2394280) | languages spoken, written or signed (wdt:P1412) | English (wd:Q1860)                                                                                |
| Boo-Boo Bear (wd:Q2394280) | country of origin (wdt:P495)                    | United States (wd:Q30)                                                                                |
| Boo-Boo Bear (wd:Q2394280) | creator (wdt:P170)                              | William Hanna (wd:Q263324)                                                                                |
| ...                        | ...                                             | ...                                                                                |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                                    | property           | object                                |
| ---------------------------------------------------------- | ------------------ | ------------------------------------- |
| Macbeth (wd:Q10322723)                                     | creator (wdt:P170) | William Shakespeare (wd:Q692)         |
| Rearing Horse and Mounted Warrior (wd:Q1000659)            | creator (wdt:P170) | Leonardo da Vinci (wd:Q762)           |
| Entsagen (wd:Q102291170)                                   | creator (wdt:P170) | Johann Wolfgang von Goethe (wd:Q5879) |
| Malebranche (wd:Q1017392)                                  | creator (wdt:P170) | Dante Alighieri (wd:Q1067)            |
| The Absinthe drinker (wd:Q1018269)                         | creator (wdt:P170) | Pablo Picasso (wd:Q5593)              |
| Café Terrace at Night (wd:Q1025704)                        | creator (wdt:P170) | Vincent van Gogh (wd:Q5582)           |
| Avenue and Formal Pool at St-Georges-Motel (wd:Q104011662) | creator (wdt:P170) | Winston Churchill (wd:Q8016)          |
| wd:Q10334710                                               | creator (wdt:P170) | René Descartes (wd:Q9191)             |
| Hank Morgan (wd:Q100878499)                                | creator (wdt:P170) | Mark Twain (wd:Q7245)                 |
| Head Study (wd:Q100323038)                                 | creator (wdt:P170) | Rabindranath Tagore (wd:Q7241)        |
| ...                                                        | ...                | ...                                   |

[Tool]
Got 1 row and 3 columns:
| subject                    | property           | object                     |
| -------------------------- | ------------------ | -------------------------- |
| Boo-Boo Bear (wd:Q2394280) | creator (wdt:P170) | William Hanna (wd:Q263324) |

[Tool]
Got 1 row and 3 columns:
| subject                    | property           | object                     |
| -------------------------- | ------------------ | -------------------------- |
| Boo-Boo Bear (wd:Q2394280) | creator (wdt:P170) | William Hanna (wd:Q263324) |

[Tool]
Got 1 row and 3 columns:
| subject                    | property           | object                     |
| -------------------------- | ------------------ | -------------------------- |
| Boo-Boo Bear (wd:Q2394280) | creator (wdt:P170) | William Hanna (wd:Q263324) |

[Tool]
Top 10 property alternatives:
1. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt/p): maker of this creative work or other object (where no more specific property exists)
2. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as wdt/p): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
4. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
5. significant person, also known as significant people, sigper, sign. person, relevant person, relevant people (wd:P3342 as wdt/p): person linked to the item in any possible way
6. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdt/p): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
7. from narrative universe, also known as from narrative, in continuity, from universe, in cycle, in world of (wd:P1080 as wdt/p): subject's fictional entity is in the object narrative. See also P1441 (present in work) and P1445 (fictional universe described in), part of
8. MusicBrainz artist ID, also known as MB artist ID, MBID artist (wd:P434 as wdt/p/wdtn): identifier for an artist in the MusicBrainz open music encyclopedia
9. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/p): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
10. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as wdt/p): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)

No other items found

[Assistant]
After checking the entity and property, the only listed creator for Boo-Boo Bear (wd:Q2394280) is William Hanna (wd:Q263324).

Here is the final SPARQL query and answer.

[Tool] Stopped generation process