PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?service WHERE {
  wd:Q70209136 ?p ?service .
  ?service rdfs:label ?label
  FILTER ( CONTAINS( LCASE( ?label ) , "stream" ) )
}

Wikidata does not currently contain information about which video streaming services offer the 'Hunter x Hunter' anime series. There are no properties or statements linking the anime (2011 or 1999) to streaming platforms such as Netflix, Crunchyroll, Hulu, etc. Thus, it is not possible to construct a SPARQL query to answer this question using Wikidata.

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

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

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

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

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

[User] on which video streaming services can i watch hunter x hunter anime series?

[Assistant]
Let's break down the question:

1. The user wants to know which video streaming services offer the "Hunter x Hunter" anime series.
2. We need to identify the Wikidata entity for "Hunter x Hunter" (anime series).
3. We need to identify the property that links a work (like an anime) to streaming services.
4. We need to find the streaming services (entities) associated with "Hunter x Hunter" via that property.

First, I'll search for the Wikidata entity for "Hunter x Hunter" anime series.

[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 two main anime adaptations for "Hunter x Hunter":
- The 1999 anime series (wd:Q21232458)
- The 2011 anime series (wd:Q70209136)

Since the 2011 series is the more recent and widely available one, I will focus on "Hunter × Hunter" (2011 anime, wd:Q70209136).

Next, I need to find the property that links a television series or anime to streaming services. I'll search for properties related to "streaming service".

[Tool]
Top 10 property alternatives:
1. streaming media URL, also known as archives, streaming url (wd:P963 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): URL where the subject's media stream exists, URL
2. broadcast by, also known as streamed by, TV station, TV network, TV channel, radio station (wd:P3301 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): channel, network, website or service that broadcast this item over radio, television or the Internet
3. online service, also known as ISP, internet service provider (wd:P2361 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): online service or online service provider tied to an item
4. YouTube video ID, also known as YT video ID, streaming url, yt video, Youtube video website, YouTube video link (wd:P1651 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): identifier of a video on YouTube; qualify trailers with "object ...er" (Q622550). For channels, use P2397; for playlists, use P4300, streaming media URL
5. Google Play Store app ID, also known as Google Play Store package, Play Store identifier, Play Store ID, PlayStore, Play Store (wd:P3418 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): package name of an app registered on Google Play
6. operator, also known as offered by, operated by, provided by, run by, service operator (wd:P137 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person, profession, organization or entity that operates the equipment, facility, or service, used by
7. Ustream username (wd:P4017 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): this item's username on Ustream, website username or ID
8. service options (wd:P11424 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): options for eating at a restaurant, café, etc
9. Every Noise at Once ID, also known as Spotify genre, Every Noise at Once identifier, everynoise.com identifier (wd:P9881 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): identifier of a music genre, style, or scene on the Every Noise at Once website
10. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): network(s) or service(s) that originally broadcast a radio or television program, broadcast by

[Assistant]
The most relevant property for linking an anime series to a streaming service appears to be "broadcast by" (wd:P3301), which includes streaming services as well as TV channels and networks.

To confirm, I'll check how "broadcast by" (wd:P3301) is used for the "Hunter × Hunter" (2011 anime) entity.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that "broadcast by" (wd:P3301) is not used for the "Hunter × Hunter" (2011 anime) entity in Wikidata, at least not directly.

Let's try another approach: I'll check if the property "streaming media URL" (wd:P963) is used for this entity, as it might directly link to streaming platforms.

[Tool] Got no rows and 3 columns

[Assistant]
There are no "streaming media URL" (wd:P963) entries for "Hunter × Hunter" (2011 anime) either.

Another approach is to check if there is a property specifically linking to "available on platform" or similar, which might indicate streaming availability. I'll search for properties related to "available on".

[Tool]
Top 10 property alternatives:
1. full work available at URL, also known as full text available at, full text available at URL, full text url, online mirror, online version (wd:P953 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): URL of a web page containing the full body of this item, URL
2. 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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
3. retrieved, also known as reference date, retrieved at, retrieved date, time of retrieval, consulted (wd:P813 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): date or point in time that information was retrieved from a database or website (for use in online sources), point in time
4. operator, also known as offered by, operated by, provided by, run by, service operator (wd:P137 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person, profession, organization or entity that operates the equipment, facility, or service, used by
5. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
6. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
7. stock exchange, also known as listed on, listed on stock exchange, listed on exchange, exchange (wd:P414 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): exchange on which this company is traded
8. connecting line, also known as is on, railway line, rail line connected to, line connected to (wd:P81 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): railway line(s) subject is directly connected to, part of
9. located on street, also known as on street, street address, street, square, road (wd:P669 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): street, road, or square, where the item is located. To add the n...perty P6375 "street address", if there is no item for the street, location, part of
10. website account on, also known as account on, has account on website, social media account on, user account on (wd:P553 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): website that the person or organization has an account on (use w...h reliable source or if the person or organization disclosed it.

[Assistant]
None of the top properties seem to directly indicate "available on" for streaming platforms.

Since "broadcast by" (wd:P3301) can include streaming services, but is not used for this anime, I'll try searching for properties of the "Hunter × Hunter" (2011 anime) entity that might relate to streaming, platform, or service, to see if any relevant property is used.

[Tool]
Top 10 property alternatives:
1. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as p/wdt): method (or type) of distribution for the subject
2. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as p/wdt): network(s) or service(s) that originally broadcast a radio or television program, broadcast by
3. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time
4. X (Twitter) username, also known as twitter.com/, X username, X handle, x.com/, X account (wd:P2002 as p/wdt): username on X (formerly Twitter); do not include the '@' symbol, website username or ID
5. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
6. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as p/wdt): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
7. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
8. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
9. distributed by, also known as distributor (wd:P750 as p/wdt): distributor of a creative work; distributor for a record label; news agency; film distributor
10. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).

No other items found

[Assistant] The property "original broadcaster" (wd:P449) is present, which sometimes includes streaming services. I'll check which entities are linked to "Hunter × Hunter" (2011 anime) via "original broadcaster" (wd:P449).

[Tool]
Got 1 row and 3 columns:
| subject                        | property                        | object                         |
| ------------------------------ | ------------------------------- | ------------------------------ |
| Hunter × Hunter (wd:Q70209136) | original broadcaster (wdt:P449) | Nippon Television (wd:Q864910) |

[Assistant]
The only "original broadcaster" listed for "Hunter × Hunter" (2011 anime) is Nippon Television (wd:Q864910), which is a Japanese TV network, not a streaming service.

Since Wikidata does not seem to have direct links between this anime and streaming platforms, I'll try searching for streaming service availability for "Hunter × Hunter" more generally, in case it's linked through another property or via the manga entity (wd:Q696071).

I'll check if the manga entity has any streaming-related properties.

[Tool]
Top 10 property alternatives:
1. distributed by, also known as distributor (wd:P750 as p/wdt): distributor of a creative work; distributor for a record label; news agency; film distributor
2. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
3. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
4. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
5. derivative work, also known as is source work of, is adapted as, is the basis for, iteration, reboot (wd:P4969 as p/wdt): new work of art (film, book, software, etc.) derived from major part of this work
6. intended public, also known as for, user group, target market, target group, target demographic (wd:P2360 as p/wdt): this work, product, object or event is intended for, or has been designed to that person or group of people, animals, plants, etc
7. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as p/wdt): larger work that a given work was published in, like a book, journal or music album, part of
8. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time
9. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
10. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country

No other items found

[Assistant]
There are no streaming-related properties for the manga entity either.

Given the lack of direct streaming service links for "Hunter × Hunter" (anime or manga) in Wikidata, it appears that Wikidata does not currently store information about which streaming services offer this anime series.

Therefore, I cannot provide a SPARQL query that answers your question using Wikidata, as the relevant data is missing.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?inception WHERE {
  wd:Q1420480 wdt:P571 ?inception
}

The first Ironman World Championship took place in 1978.

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

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

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

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

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

[User] when is the first ironman world championship?

[Assistant]
Let's break down the question:

1. The user is asking for the date of the first Ironman World Championship.
2. I need to identify the entity for "Ironman World Championship" and find the property that indicates its inception or first occurrence.

First, I'll search for the entity "Ironman World Championship" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Ironman World Championship (wd:Q1420480): triathlon
2. 2009 Ironman World Championship (wd:Q1627953)
3. 2010 Ironman World Championship (wd:Q949501)
4. 2011 Ironman World Championship (wd:Q1144158): Held in Kailua-Kona, Hawaii
5. 2019 Ironman World Championship (wd:Q61081177)
6. 2007 Ironman World Championship, also known as 2007 Ford Ironman World Championship (wd:Q3652214)
7. 2008 Ironman World Championship (wd:Q1325961)
8. 2018 Ironman World Championship (wd:Q57699330)
9. 2006 Ironman World Championship (wd:Q3078193)
10. 2005 Ironman World Championship (wd:Q2122612)

[Assistant]
The main entity for the Ironman World Championship is wd:Q1420480.

Next, I need to find the property that indicates the date of the first occurrence or inception of this event. Common properties for this are "inception" or "start time." I'll search for properties related to "inception" or "first" for this entity.

[Tool]
Top 10 property alternatives:
1. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
2. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
3. event interval, also known as event frequency, frequency of event, interval, period (wd:P2257 as p/wdt): standard nominal interval between scheduled or regularly recurri...1/(event frequency). Time period of periodically occurring event
4. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
5. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as wdtn/p/wdt): identifier from an international authority file of names, subjects, and organizations
6. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
7. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
9. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as p/wdt): item that is different from another item, with which it may be confused

No other items found

[Tool]
Got 1 row and 1 column:
| inception                           |
| ----------------------------------- |
| 1978-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( ?win ) AS ?count ) WHERE {
  wd:Q676899 wdt:P2522 ?win .
  ?win wdt:P3450 wd:Q19317 .
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 4 (xsd:int) |

The Italian national soccer team has won the FIFA World Cup 4 times.

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

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

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

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

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

[User] How many times did the Italian national soccer team win the Fifa World Cup?

[Assistant]
Let's break down the question:

1. We need to identify the entity for the Italian national soccer team.
2. We need to identify the property or relationship that links a national team to winning the FIFA World Cup.
3. We need to count the number of times Italy won the FIFA World Cup.

First, let's search for the entity representing the Italian national soccer team.

[Tool]
Top 10 entity alternatives:
1. Italy men's national association football team, also known as Team of Italy, The Azzurri, Italy NT, Italy national team, Italy national football team (wd:Q676899): men's national association football team representing Italy
2. national association football team, also known as national football team, national soccer team (wd:Q6979593): association football team that represents a country in international competitions
3. 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
4. England men's national association football team, also known as England, Three Lions, England national soccer team, England national football team, England national association football team (wd:Q47762): men's national association football team representing England
5. Argentina men's national association football team, also known as Argentina men's national football team, Argentina men's national soccer team, Argentina national association football team, Argentina national football team, Argentina national soccer team (wd:Q79800): men's national association football team representing Argentina
6. Russia men's national football team, also known as Russia national football team, Russian national soccer team, Russia national soccer team, Russian national football team (wd:Q726080): men's national football team representing Russia
7. United States men's national soccer team, also known as US national soccer team, USMNT, US men's national soccer team, USA national team, USA national soccer team (wd:Q164134): men's national association football (soccer) team representing the USA
8. Denmark men's national football team, also known as Danish national football selection, Denmark soccer team, Denmark national soccer team, Denmark national selection team, Denmark national football team (wd:Q131785): men's national association football team representing Denmark
9. Australia men's national soccer team, also known as Australia men's national football team, Australia national football team, Australia national soccer team, Socceroos (wd:Q268208): men's national association football team representing Australia
10. Chile men's national football team, also known as Bicampeon, Chilean national football team, Chilean national soccer team, Chile national football team, Chile national soccer team (wd:Q172025): men's national association football team representing Chile

[Assistant]
The correct entity for the Italian national soccer team is "Italy men's national association football team" (wd:Q676899).

Next, we need to find the property that links a national team to winning the FIFA World Cup. Let's search for properties related to "FIFA World Cup" and "winner" or "champion".

[Tool]
Top 10 property alternatives:
1. WorldFootball.net person ID, also known as https://www.worldfootball.net/, https://www.worldfootball.net/player_summary/, worldfootball.net/, WorldFootball.net ID, www.worldfootball.net/ (wd:P2020 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): identifier for an association football (soccer) player or manage...l.at, Voetbal.com, Calcio.com, Mondedufoot.fr, or Livefutbol.com
2. trophy awarded, also known as cup awarded, diploma awarded, medal awarded (wd:P4622 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): trophy awarded at the end of a selection process or of a competi...winners or finishers under the form of a cup, a medal, a diploma
3. top scorer, also known as top scorer(s), top goal scorer(s) (wd:P12475 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): best scorer of a single season of a team sport's competition or the best ever scorer of the history of a competition
4. statistical leader, also known as most valuable player, MVP, record setter, statistical leader (wd:P3279 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): leader of a sports tournament in one of statistical qualities (points, assists, rebounds etc.).
5. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
6. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): country a person or a team represents when playing a sport, country
7. competition won, also known as won event, won, winner of, victory (wd:P2522 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): competition or sports event won by the subject, participant in
8. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): award or recognition received by a person, organization or creative work
9. FIFA player ID (archived), also known as FIFA ID, www.fifa.com/worldfootball/statisticsandrecords/players/player=, web.archive.org/web/1/http://www...isticsandrecords/players/player=, https://web.archive.org/web/1/ht...isticsandrecords/players/player=, fifa.com/worldfootball/statisticsandrecords/players/player= (wd:P1469 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): identifier for a association football player per FIFA
10. FIFA country code (wd:P3441 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): three-letter country code assigned by FIFA

[Assistant]
The most relevant properties are:
- winner (wd:P1346): winner of a competition or similar event.
- competition won (wd:P2522): competition or sports event won by the subject.

Since we want to know how many times the Italian team won the FIFA World Cup, "competition won" (wd:P2522) seems most direct, as it links the team to competitions it has won.

Next, let's verify the entity for the FIFA World Cup.

[Tool]
Top 10 entity alternatives:
1. FIFA World Cup, also known as World Cup, The World Cup, Soccer World Cup, FWC, FIFA World Cup of Football (wd:Q19317): international association football competition contested by the senior men's national teams
2. FIFA World Cup (wd:Q864001): video game series
3. North Korea at the FIFA World Cup, also known as FIFA World Cup., Korea DPR at the FIFA World Cup (wd:Q6431616): participation of North Korea's national football team in the FIFA World Cup
4. 2018 FIFA World Cup, also known as FIFA 2018, FIFA World Cup 2018, World Cup 2018, World Cup 2018 in Russia, 2018 World Cup (wd:Q170645): 21st FIFA World Cup, held in Russia
5. 2014 FIFA World Cup, also known as FIFA 2014, 20th FIFA World Cup, 2014 FIFA World Cup Brasil, 2014 FIFA World Cup Brazil (wd:Q79859): 20th FIFA World Cup, held in Brazil
6. 2022 FIFA World Cup, also known as Qatar 2022, FIFA 2022, 2022 World Cup, FIFA world cup 2022 (wd:Q284163): 22nd FIFA World Cup
7. 2010 FIFA World Cup, also known as 2010 FIFA World Cup South Africa, FIFA 2010, FIFA World Cup 2010 (wd:Q176883): 19th FIFA World Cup, held in South Africa
8. 2006 FIFA World Cup, also known as 2006 World Cup, FIFA 2006 (wd:Q37285): 18th FIFA World Cup, held in Germany
9. 2002 FIFA World Cup, also known as 2002 FIFA World Cup Korea/Japan, FIFA 2002 (wd:Q47735): 17th FIFA World Cup, held in South Korea and Japan
10. 1930 FIFA World Cup (wd:Q48432): 1st FIFA World Cup, held in Uruguay

[Assistant]
The main entity for the FIFA World Cup is wd:Q19317.

Now, let's construct a SPARQL query to count how many times the Italy men's national association football team (wd:Q676899) has won the FIFA World Cup (wd:Q19317) using the "competition won" property (wd:P2522).

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 4 (xsd:int) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q28865 ( wdt:P31 / wdt:P279 * ) wd:Q9143
}

True. Python is a kind of programming language.

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

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

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

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

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

[User] Is Python a kind of Programming languages?

[Assistant]
Let's break down the question:

- "Python" likely refers to the programming language, so I need to verify the entity for Python.
- "Programming languages" is a class or type, so I need to verify the entity for programming language.
- The question asks if Python is a kind of programming language, which is a type/class relationship.

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

[Tool]
Top 10 entity alternatives:
1. Python, also known as Python (software), Python (scripting language), Python Programming Language, Python (Programming Language), Python (computer language) (wd:Q28865): general-purpose programming language
2. Python, also known as Piton (wd:Q271218): genus of reptiles
3. Python (wd:Q15721): earth-dragon of Delphi
4. Python (wd:Q15721): earth-dragon of Delphi
5. CPython, also known as Python (wd:Q599384): Python reference implementation
6. Python, also known as Derby, Python missile, RAFAEL Python (wd:Q15728): 1978 air-to-air missile family by RAFAEL
7. Peithon, also known as Python (wd:Q1249144): Ancient Macedonian general, military leader, satrap
8. Python, also known as Python II (wd:Q4363952): ancient peastan Greek vase-painter of red-figure style, red-figure vase painter, Paestan vase-painter, painter
9. Python (wd:Q3411448): 2000 film directed by Richard Clabaugh
10. Python, also known as Peithon (wd:Q18691580): ancient Attic-Greek potter, Attic potter, ceramicist

[Assistant]
The most relevant entity for "Python" as a programming language is wd:Q28865.

Next, I need to verify the entity for "programming language" to check if Python is an instance of it or a subclass.

Step 2: Search for the entity "programming language" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. programming language, also known as coding language, computer language, computer programming, computer programming language (wd:Q9143): language for communicating instructions to a machine
2. language-oriented programming language (wd:Q28923009): programming language
3. programming language (wd:L475355-S2)
4. programming language (wd:L501100-S3)
5. programming language (wd:L546252-S1)
6. programming language (wd:L546252-S2)
7. programming language (wd:L551138-S1)
8. programming language (wd:L434060-S1)
9. programming language (wd:L254536-S2)
10. programming language (wd:L315901-S1)

[Assistant]
The most relevant entity for "programming language" is wd:Q9143.

Now, I need to check if wd:Q28865 (Python) is an instance of (P31) or subclass of (P279) wd:Q9143 (programming language).

Step 3: Check if Python is an instance or subclass of programming language.

[Tool]
Got 1,147 rows and 3 columns, showing the first 10 rows below:
| subject            | property                                       | object                                                                                |
| ------------------ | ---------------------------------------------- | ---------------------------------------------------------------------------------------------- |
| Python (wd:Q28865) | instance of (wdt:P31)                          | object-based language (wd:Q899523)                                                             |
| Python (wd:Q28865) | Commons category (wdt:P373)                    | Python (programming language)                                                                  |
| Python (wd:Q28865) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/CPT-TheoryOfComp-Binary-Search-Python.png> |
| Python (wd:Q28865) | copyright status (wdt:P6216)                   | copyrighted (wd:Q50423863)                                                                     |
| Python (wd:Q28865) | inception (wdt:P571)                           | 1991-02-20T00:00:00Z (xsd:dateTime)                                                            |
| Python (wd:Q28865) | described at URL (wdt:P973)                    | <https://marketplace.sshopencloud.eu/tool-or-service/tt0gGA>                                   |
| Python (wd:Q28865) | has part(s) (wdt:P527)                         | integrated development environment (wd:Q13741)                                                 |
| Python (wd:Q28865) | copyright license (wdt:P275)                   | Python Software Foundation License (wd:Q2600299)                                               |
| Python (wd:Q28865) | official website (wdt:P856)                    | <https://www.python.org/>                                                                      |
| Python (wd:Q28865) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                                                                |
| ...                | ...                                            | ...                                                                                |

[Tool]
Got 1 row and 3 columns:
| subject            | property              | object                             |
| ------------------ | --------------------- | ---------------------------------- |
| Python (wd:Q28865) | instance of (wdt:P31) | object-based language (wd:Q899523) |

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 3 columns:
| subject            | property              | object                             |
| ------------------ | --------------------- | ---------------------------------- |
| Python (wd:Q28865) | instance of (wdt:P31) | object-based language (wd:Q899523) |

[Tool]
Got 274 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                          | object                                       |
| ---------------------------------- | --------------------------------- | -------------------------------------------- |
| object-based language (wd:Q899523) | instance of (wdt:P31)             | type of programming language (wd:Q116481801) |
| object-based language (wd:Q899523) | subclass of (wdt:P279)            | programming language (wd:Q9143)              |
| object-based language (wd:Q899523) | short name (wdt:P1813)            | объектно-ориентированный (ru)                |
| object-based language (wd:Q899523) | topic's main category (wdt:P910)  | wd:Q7134755                                  |
| object-based language (wd:Q899523) | facet of (wdt:P1269)              | object-orientation (wd:Q2011845)             |
| object-based language (wd:Q899523) | topic's main template (wdt:P1424) | wd:Q22846676                                 |
| object-based language (wd:Q899523) | manifestation of (wdt:P1557)      | object-oriented programming (wd:Q79872)      |
| object-based language (wd:Q899523) | programming paradigm (wdt:P3966)  | object-oriented programming (wd:Q79872)      |
| object-based language (wd:Q899523) | Freebase ID (wdt:P646)            | /m/05tslg                                    |
| object-based language (wd:Q899523) | GND ID (wdtn:P227)                | <https://d-nb.info/gnd/4172311-9>            |
| ...                                | ...                               | ...                                          |

[Tool]
Got 124 rows and 3 columns, showing the first 10 rows below:
| subject                                           | property               | object                          |
| ------------------------------------------------- | ---------------------- | ------------------------------- |
| machine code (wd:Q55813)                          | subclass of (wdt:P279) | programming language (wd:Q9143) |
| high-level programming language (wd:Q211496)      | subclass of (wdt:P279) | programming language (wd:Q9143) |
| scripting language (wd:Q187432)                   | subclass of (wdt:P279) | programming language (wd:Q9143) |
| low-level programming language (wd:Q558937)       | subclass of (wdt:P279) | programming language (wd:Q9143) |
| esoteric programming language (wd:Q610140)        | subclass of (wdt:P279) | programming language (wd:Q9143) |
| visual programming language (wd:Q683111)          | subclass of (wdt:P279) | programming language (wd:Q9143) |
| interpreted language (wd:Q1993334)                | subclass of (wdt:P279) | programming language (wd:Q9143) |
| general-purpose programming language (wd:Q951497) | subclass of (wdt:P279) | programming language (wd:Q9143) |
| compiled language (wd:Q651794)                    | subclass of (wdt:P279) | programming language (wd:Q9143) |
| dynamic programming language (wd:Q1268980)        | subclass of (wdt:P279) | programming language (wd:Q9143) |
| ...                                               | ...                    | ...                             |

[Assistant]
Here is what I found:
- Python (wd:Q28865) is an instance of "object-based language" (wd:Q899523).
- "object-based language" is a subclass of "programming language" (wd:Q9143).

Therefore, Python is a kind of programming language via the subclass relationship.

I will now write an ASK query to directly answer if Python (wd:Q28865) is (directly or indirectly) a kind of programming language (wd:Q9143) via instance/subclass relationships.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK WHERE {
  wd:Q5287 wdt:P1098 ?speakers .
  FILTER ( ?speakers > 100000000 )
}

Yes, more than 100,000,000 people speak Japanese.

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

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

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

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

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

[User] Do more than 100000000 people speak Japanese?

[Assistant]
Let's break down the question:

1. We need to find the number of people who speak Japanese.
2. We need to check if this number is greater than 100,000,000.
3. This is a True/False question, so the final query should be an ASK query.

First, let's identify the entity for "Japanese language" in Wikidata. I'll search for "Japanese language".

[Tool]
Top 10 entity alternatives:
1. Japanese, also known as Japanese language, Japanesic (wd:Q5287): language spoken in East Asia
2. Japanese language (wd:Q10855582): school subject
3. Japanese Language (wd:Q110262521): Stack Exchange site for students, teachers, and linguists wanting to discuss the finer points of the Japanese language
4. Japanese (language) (wd:L612945-S1)
5. Japanese Wikipedia, also known as ja.wikipedia.org, jpwp, Jp.wikipedia.org, JAWP, jawp (wd:Q177837): Japanese-language edition of Wikipedia
6. Japanese Sign Language, also known as JSL (wd:Q35601): sign language
7. Classical Japanese, also known as Classical Japanese language (wd:Q1332057): literary form of the Japanese language, standard until WW2, based on Heian-period Early Middle Japanese with later influences
8. Japanese language education, also known as teaching Japanese as a foreign language (wd:Q17214937)
9. dictionary of the Japanese language, also known as dictionary of Japanese, Japanese language dictionary, Japanese dictionary (wd:Q6158568): language version of dictionary
10. Japanese language department (wd:Q11086620)

[Assistant]
The main entity for the Japanese language is wd:Q5287.

Next, we need to find the property in Wikidata that relates a language to the number of speakers. I'll search for properties related to "number of speakers".

[Tool]
Top 10 property alternatives:
1. number of speakers, writers, or signers, also known as signers of a language, speakers of language, writers of a language (wd:P1098 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of people who use a language
2. number of viewers/listeners, also known as plays, watches, watch count, views, view number (wd:P5436 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of viewers of a television or broadcasting program; web traffic on websites
3. number of words, also known as word count, words (number of) (wd:P6570 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of words in text
4. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): language designated as official by this item, language used
5. speaker, also known as speech by, spoken by (wd:P823 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person who is speaker for this event, ceremony, keynote, presentation or in a literary work, participant, spoken by
6. spoken by, also known as speaker (wd:P10894 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): the person who is speaking in this audio or video file
7. number of aid beneficiaries, also known as number of aid recipients, number of beneficiaries, number of people reached, people reached (wd:P9077 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of people reached with international aid programmes, acti...ctivities. Qualify with "point in time" (P585) where appropriate
8. intended public, also known as for, user group, target market, target group, target demographic (wd:P2360 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): this work, product, object or event is intended for, or has been designed to that person or group of people, animals, plants, etc
9. number of registered users/contributors, also known as number of contributors, number of registered users, number of users, users (wd:P1833 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of registered users on a website
10. member count, also known as total members, number of members, count of members, amount of members, membership (wd:P2124 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of entities that are part of an organization at a particular time

[Assistant]
The property "number of speakers, writers, or signers" (wd:P1098) is the correct one to use for finding the number of people who speak Japanese.

Now, I will check if the value for wd:Q5287 (Japanese language) and wd:P1098 (number of speakers) is greater than 100,000,000 using an ASK query.

[Tool] True

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?cast ?dob ?label WHERE {
  VALUES ?cast {
    wd:Q50379405 wd:Q50377216 wd:Q49729241 wd:Q44870529 wd:Q50379407
  }
  ?cast wdt:P569 ?dob .
  OPTIONAL {
    ?cast rdfs:label ?label FILTER ( LANG( ?label ) = "en" )
  }
}
ORDER BY ASC ( ?dob )
LIMIT 1

The oldest cast member of the Netflix show 'Queer Eye' is Karamo Brown (wd:Q44870529), born on November 2, 1980.

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

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

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

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

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

[User] Who is the oldest cast member of the Netflix show “Queer Eye” ?

[Assistant]
Let's break down the question:

1. We need to identify the entity for the Netflix show "Queer Eye".
2. We need to find its cast members.
3. For each cast member, we need to find their date of birth.
4. We need to determine which cast member is the oldest (i.e., has the earliest date of birth).

Let's start by searching for the entity "Queer Eye" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Queer Eye, also known as Queer Eye for the Straight Guy (wd:Q1418248): 2003 American reality television series
2. Queer Eye (wd:Q48817408): 2018 American television series
3. Queer Eye: Germany, also known as Queer Eye Germany (wd:Q111914878): German reality television series
4. Queer Eye, season 4 (wd:Q67649081): season of television series
5. Queer Eye, season 3 (wd:Q65590894): season of television series
6. Queer Eye, season 2 (wd:Q57313933): season of television series
7. Queer Eye, season 1 (wd:Q57312338): season of television series
8. Queer Eye, season 5 (wd:Q97455984): 5th season of Netflix series
9. Queer Eye, season 6 (wd:Q110791710): 6th season of Netflix series
10. Queer Eyes, Full Hearts (wd:Q18636591): episode of Modern Family

[Assistant]
The correct entity for the Netflix show "Queer Eye" (2018 series) is wd:Q48817408.

Next, I need to find the cast members of this show. I will search for properties related to "cast member" or "actor" for this entity.

[Tool]
Top 10 property alternatives:
1. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as p/wdt): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
2. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
3. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
4. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as p/wdt): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
5. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as p/wdt): the narrative of the work is set in this location, significant place, depicts
6. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
7. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
8. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as p/wdt): method (or type) of distribution for the subject
9. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as p/wdt): name of the Reddit forum associated to this subject
10. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as p/wdt): network(s) or service(s) that originally broadcast a radio or television program, broadcast by

No other items found

[Assistant]
The property "cast member" (wdt:P161) is appropriate for finding the cast of "Queer Eye" (2018 series).

Next, I will list the cast members of wd:Q48817408 using wdt:P161.

[Tool]
Got 5 rows and 3 columns:
| subject                  | property               | object                           |
| ------------------------ | ---------------------- | -------------------------------- |
| Queer Eye (wd:Q48817408) | cast member (wdt:P161) | Jonathan Van Ness (wd:Q50379405) |
| Queer Eye (wd:Q48817408) | cast member (wdt:P161) | Antoni Porowski (wd:Q50377216)   |
| Queer Eye (wd:Q48817408) | cast member (wdt:P161) | Bobby Berk (wd:Q49729241)        |
| Queer Eye (wd:Q48817408) | cast member (wdt:P161) | Karamo Brown (wd:Q44870529)      |
| Queer Eye (wd:Q48817408) | cast member (wdt:P161) | Tan France (wd:Q50379407)        |

[Assistant]
The main cast members of the Netflix show "Queer Eye" are:
- Jonathan Van Ness (wd:Q50379405)
- Antoni Porowski (wd:Q50377216)
- Bobby Berk (wd:Q49729241)
- Karamo Brown (wd:Q44870529)
- Tan France (wd:Q50379407)

Next, I need to find the date of birth for each of these cast members to determine who is the oldest. I will search for the property related to "date of birth".

[Tool]
Top 10 property alternatives:
1. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): date on which the subject was born, inception
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): most specific known birth location of a person, animal or fictional character, location
3. birthday, also known as b-day, bday, birth day (wd:P3150 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): the object is a country that recognizes the subject as its citizen, country
5. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): what the place, monument, memorial, or holiday, commemorates, main subject
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): full name of a person at birth, if different from their current, generally used name, name
7. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
8. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
9. website username or ID, also known as user name, website username, website ID, username in social media, username (wd:P554 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): username or identifier on a website that the person or movement ... account on, for use as qualifier of "website account on" (P553)
10. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): alias used by someone (for nickname use P1449), name

[Assistant]
The property for "date of birth" is wdt:P569.

Now, I will write a SPARQL query to get the date of birth for each of the five cast members and determine who is the oldest (i.e., has the earliest date of birth).

[Tool]
Got 1 row and 2 columns:
| cast                        | dob                                 |
| --------------------------- | ----------------------------------- |
| Karamo Brown (wd:Q44870529) | 1980-11-02T00:00:00Z (xsd:dateTime) |

[Tool]
Got 1 row and 3 columns:
| cast                        | dob                                 | label             |
| --------------------------- | ----------------------------------- | ----------------- |
| Karamo Brown (wd:Q44870529) | 1980-11-02T00:00:00Z (xsd:dateTime) | Karamo Brown (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?magazine ?inception WHERE {
  wd:Q696071 wdt:P1433 ?magazine .
  ?magazine wdt:P571 ?inception
}

The magazine in which Hunter x Hunter is published, Weekly Shōnen Jump, was established in 1968.

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

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

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

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

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

[User] when was the magazine in which hunter x hunter is published established?

[Assistant]
Let's break down the question:

1. Identify the magazine in which "Hunter x Hunter" is published.
2. Find out when that magazine was established.

First, I need to find the entity for "Hunter x Hunter" and see which magazine it is published in. Then, I will look up the establishment date of that magazine.

Let's start by searching for "Hunter x Hunter" in Wikidata.

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

[Assistant] The first result, wd:Q696071, is the Japanese manga series "Hunter × Hunter." Now, I need to find out which magazine this manga is published in. I will look for properties related to "published in" or "magazine" for this entity.

[Tool]
Top 10 property alternatives:
1. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as p/wdt): larger work that a given work was published in, like a book, journal or music album, part of
2. publisher, also known as video game publisher, software publisher, comic book publisher, sheet music publisher, publishing house (wd:P123 as p/wdt): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software
3. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as p/wdt): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
4. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
5. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
6. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
7. derivative work, also known as is source work of, is adapted as, is the basis for, iteration, reboot (wd:P4969 as p/wdt): new work of art (film, book, software, etc.) derived from major part of this work
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. author, also known as writer, written by, poet, playwright, maker (wd:P50 as p/wdt): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
10. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as p/wdt): name of the Reddit forum associated to this subject

No other items found

[Tool]
Got 1 row and 1 column:
| magazine                        |
| ------------------------------- |
| Weekly Shōnen Jump (wd:Q220015) |

[Assistant] The manga "Hunter x Hunter" is published in "Weekly Shōnen Jump" (wd:Q220015). Next, I need to find when "Weekly Shōnen Jump" was established. I will search for properties related to "established" or "inception" for this magazine entity.

[Tool]
Top 10 property alternatives:
1. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
2. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
3. intended public, also known as for, user group, target market, target group, target demographic (wd:P2360 as p/wdt): this work, product, object or event is intended for, or has been designed to that person or group of people, animals, plants, etc
4. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
5. publisher, also known as video game publisher, software publisher, comic book publisher, sheet music publisher, publishing house (wd:P123 as p/wdt): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software
6. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))

No other items found

[Tool]
Got 1 row and 1 column:
| inception                           |
| ----------------------------------- |
| 1968-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process