PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?work ) AS ?count ) WHERE {
  ?work wdt:P50 wd:Q7245 .
  ?work wdt:P31 / wdt:P279 * wd:Q7725634 .
}

Got 1 row and 1 column:
| count        |
| ------------ |
| 72 (xsd:int) |

Mark Twain wrote 72 distinct literary works.

[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 literary works did Mark Twain write in his lifetime?

[Tool]
Top 10 property alternatives:
1. theorized by, also known as author, supported by, suggested by, proposer, proposed by (wd:P8403 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): subject who suggested or proposed this concept or immaterial invention
2. lyricist, also known as text poet, writer (of song lyrics), words by, text writer, text by (wd:P676 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): author of song lyrics, author
3. author, also known as writer, written by, poet, playwright, maker (wd:P50 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): notable scientific, artistic or literary work, or other work of significance among subject's works
5. author given names, also known as given name, given names, first name, author first names, author first name (wd:P9687 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): qualifier for string representation of given or secondary sortin...presented in a bibliographic reference file (for example BibTeX), given name
6. used by, also known as armiger, user, played by, of (wd:P1535 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): item or concept that makes use of the subject (use sub-properties when appropriate)
7. operator, also known as offered by, operated by, provided by, run by, service operator (wd:P137 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): person, profession, organization or entity that operates the equipment, facility, or service, used by
8. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): maker of this creative work or other object (where no more specific property exists)
9. author last names, also known as author last name, surnames, surname, last names, last name (wd:P9688 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): qualifier to provide string representation of family or primary ...presented in a bibliographic reference file (for example BibTeX), family name
10. object named as, also known as original wording, place name string, printed as, reference wording, [sic] (wd:P1932 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): use as qualifier to indicate how the object's value was given in the source, name

[Tool]
Top 10 entity alternatives:
1. literary work, also known as work in literature, work (literature), work (literary), literary text (wd:Q7725634): written work read for enjoyment or edification
2. DARK HORSE by Michèle Betty, also known as Literary work (wd:Q125465635): Book by Michèle Betty
3. Dura-Europos archival photograph of back of P. CtYBR inv. DP 111, also known as Literary work (wd:Q119126424): archival photograph of back of p. ctybr inv. dp 111 from dura-europos
4. Dura-Europos archival photograph of front of P. CtYBR inv. DP 92, also known as Literary work (wd:Q119126432): archival photograph of front of p. ctybr inv. dp 92 from dura-europos
5. Dura-Europos archival photograph of front of P. CtYBR inv. DP 89, also known as Literary work (wd:Q119126448): archival photograph of front of p. ctybr inv. dp 89 from dura-europos
6. Dura-Europos archival photograph of front of P. CtYBR inv. DP 87, also known as Literary work (wd:Q119126454): archival photograph of front of p. ctybr inv. dp 87 from dura-europos
7. Dura-Europos archival photograph of front of P. CtYBR inv. DP 64, also known as Literary work (wd:Q119126503): archival photograph of front of p. ctybr inv. dp 64 from dura-europos
8. Dura-Europos archival photograph of back of P. CtYBR inv. DP 64, also known as Literary work (wd:Q119126501): archival photograph of back of p. ctybr inv. dp 64 from dura-europos
9. Dura-Europos archival photograph of back of P. CtYBR inv. DP 44, also known as Literary work (wd:Q119126531): archival photograph of back of p. ctybr inv. dp 44 from dura-europos
10. Dura-Europos archival photograph of back of P. CtYBR inv. DP 92, also known as Literary work (wd:Q119126431): archival photograph of back of p. ctybr inv. dp 92 from dura-europos

[Tool]
Top 10 entity alternatives:
1. Mark Twain, also known as Samuel L. Clemens, Samuel Langhorne Clemens, Quintus Curtius Snodgrass, Samuel Clemens (wd:Q7245): American author and humorist (1835–1910), science fiction writer, opinion journalist, children's writer, autobiographer, travel writer, prose writer, journalist, humorist, novelist, aphorist, teacher, writer
2. 2362 Mark Twain, also known as Mark Twain (wd:Q959983): asteroid
3. Mark Twain (wd:Q6770075): crater on Mercury
4. Mark Twain (wd:Q6770076): 2001 documentary film on the life of Mark Twain directed by Ken Burns
5. Mark Twain (wd:Q66716403): 1873 article in Cartoon portraits and biographical sketches of men of the day
6. Mark Twain, also known as Mark Twain, St. Louis (wd:Q6770071): neighborhood of St. Louis, Missouri, United States
7. Rosa 'Mark Twain', also known as Mark Twain (wd:Q83668756): rose cultivar
8. Mark Twain (wd:Q116958637): bronze sculpture by unidentified artist
9. Mark Twain (wd:Q20174185): painting by Charles Noel Flagg
10. Mark Twain (wd:Q79493007): print by Samuel Johnson Woolf (American, 1880-1948) (1920.11)

[Tool]
Got 10 rows and 1 column:
| work                                                        |
| ----------------------------------------------------------- |
| The adventures of Tom Sawyer (wd:Q130479826)                |
| Christian Science (wd:Q5110120)                             |
| wd:Q43792123                                                |
| The adventures of Tom Sawyer (wd:Q130479826)                |
| Tom Sawyer's Conspiracy (wd:Q4183477)                       |
| A Connecticut Yankee in King Arthur's Court (wd:Q848612)    |
| The Private History of a Campaign That Failed (wd:Q7758402) |
| The Stolen White Elephant (wd:Q7766574)                     |
| The War Prayer (wd:Q7884622)                                |
| A Dog's Tale (wd:Q4656534)                                  |

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 72 (xsd:int) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?service ?serviceLabel WHERE {
  VALUES ?anime {
    wd:Q70209136 wd:Q21232458
  }
  ?anime wdt:P750 ?service .
  ?service wdt:P31 / wdt:P279 * wd:Q63241860 .
  OPTIONAL {
    ?service rdfs:label ?serviceLabel .
    FILTER ( LANG( ?serviceLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| service                   | serviceLabel     |
| ------------------------- | ---------------- |
| Crunchyroll (wd:Q1142035) | Crunchyroll (en) |
| Hulu (wd:Q1630304)        | Hulu (en)        |
| Netflix (wd:Q907311)      | Netflix (en)     |

You can watch Hunter × Hunter on the following video streaming services: Netflix, Hulu, and Crunchyroll.

[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?

[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

[Tool]
Top 10 property alternatives:
1. operating system, also known as OS, supported operating system, supported OS, supported platform (wd:P306 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): operating system (OS) on which a software works or the OS installed on hardware
2. platform, also known as computing platform, runtime, published on, platforms, hardware (wd:P400 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): platform for which a work was developed or released, or the specific platform version of a software product
3. number of platform faces, also known as number of platforms, platform faces, platforms (wd:P5595 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): number of continuous platform edges facing a track or vehicle gu...latform numbers). See property talk page for illustrated samples
4. 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): URL of a web page containing the full body of this item, URL
5. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
6. download URL, also known as download link, URL to download, link to download, download page, downloadable URL (wd:P4945 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): URL which can be used to download a work, URL
7. number of reblogs, also known as shares, share count, RTs, RT count, retweets (wd:P10756 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): number of reblogs, reposts, retweets, crossposts, or on-platform shares received on a social media post
8. supports programming language, also known as programming language supported, supported programming language (wd:P3985 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): programming language which is supported by this programming tool
9. Google Play Store app ID, also known as Google Play Store package, Play Store identifier, Play Store ID, PlayStore, Play Store (wd:P3418 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): package name of an app registered on Google Play
10. TheGamesDB platform ID (wd:P7623 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): identifier of a video game platform in TheGamesDB database

[Tool]
Top 10 property alternatives:
1. broadcast by, also known as streamed by, TV station, TV network, TV channel, radio station (wd:P3301 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): channel, network, website or service that broadcast this item over radio, television or the Internet
2. YouTube video ID, also known as YT video ID, streaming url, yt video, Youtube video website, YouTube video link (wd:P1651 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): identifier of a video on YouTube; qualify trailers with "object ...er" (Q622550). For channels, use P2397; for playlists, use P4300, streaming media URL
3. streaming media URL, also known as archives, streaming url (wd:P963 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): URL where the subject's media stream exists, URL
4. Ustream username (wd:P4017 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): this item's username on Ustream, website username or ID
5. webcam page URL, also known as live stream URL, livestream URL, surveillance camera URL (wd:P4238 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): URL of a page broadcasting pictures by a webcam situated in this location or mounted on this element, URL
6. licensed to broadcast to, also known as broadcasts to, broadcast to, city of license, community of license (wd:P1408 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): place that a radio/TV station is licensed/required to broadcast to
7. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): network(s) or service(s) that originally broadcast a radio or television program, broadcast by
8. explosive velocity, also known as detonation velocity, velocity of detonation, VoD (wd:P2231 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): detonating velocity is explosively measured
9. origin of the watercourse, also known as headwaters, water source, water origin, water body origin, stream source (wd:P885 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): main source of a river, stream or lake
10. data transfer speed, also known as transfer speed, transfer rate, throughput, data transfer rate, data rate (wd:P6711 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): transfer speed through a bus or a communication medium, throughput

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. broadcast by, also known as streamed by, TV station, TV network, TV channel, radio station (wd:P3301 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): channel, network, website or service that broadcast this item over radio, television or the Internet
2. streaming media URL, also known as archives, streaming url (wd:P963 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): URL where the subject's media stream exists, URL
3. YouTube video ID, also known as YT video ID, streaming url, yt video, Youtube video website, YouTube video link (wd:P1651 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): identifier of a video on YouTube; qualify trailers with "object ...er" (Q622550). For channels, use P2397; for playlists, use P4300, streaming media URL
4. Ustream username (wd:P4017 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): this item's username on Ustream, website username or ID
5. platform, also known as computing platform, runtime, published on, platforms, hardware (wd:P400 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): platform for which a work was developed or released, or the specific platform version of a software product
6. webcam page URL, also known as live stream URL, livestream URL, surveillance camera URL (wd:P4238 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): URL of a page broadcasting pictures by a webcam situated in this location or mounted on this element, URL
7. operating system, also known as OS, supported operating system, supported OS, supported platform (wd:P306 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): operating system (OS) on which a software works or the OS installed on hardware
8. data transfer speed, also known as transfer speed, transfer rate, throughput, data transfer rate, data rate (wd:P6711 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): transfer speed through a bus or a communication medium, throughput
9. PeerTube channel address, also known as PeerTube (wd:P12622 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): address for a channel on a PeerTube instance, in 'user@server.domain' format, website username or ID
10. number of platform faces, also known as number of platforms, platform faces, platforms (wd:P5595 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): number of continuous platform edges facing a track or vehicle gu...latform numbers). See property talk page for illustrated samples

[Tool] Got no rows and 3 columns

[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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): website that the person or organization has an account on (use w...h reliable source or if the person or organization disclosed it.

[Tool]
Top 10 property alternatives:
1. distributed by, also known as distributor (wd:P750 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): distributor of a creative work; distributor for a record label; news agency; film distributor
2. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): method (or type) of distribution for the subject
3. distributed from, also known as distributed via, host, hosted at, web host, webhost (wd:P10754 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): place or location where a good or service is distributed from
4. beforehand owned by, also known as acquired from, bequester, bought from, old owner, oldowner (wd:P11811 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): person or institution that owned the subject just before stated ...ficant event (P793)" for events like sales, auctions, gifts, etc
5. distribution map, also known as map of distribution (wd:P1846 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): distribution of item on a mapped area (for range map of taxa, use (P181).), image
6. organizer, also known as promoter, presenter, organizing body, organized by, organising body (wd:P664 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): person or institution organizing an event
7. typically sells, also known as product, sells, sold products, usually sells (wd:P7163 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): type of goods particular type of shops typically sell
8. commissioned by, also known as client, orderer, made for, commissioner, built for (wd:P88 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): person or organization that commissioned this work
9. doctoral advisor, also known as PhD supervisor, promotor, supervisor, thesis advisor, advisor (wd:P184 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): person who supervised the doctorate or PhD thesis of the subject, supervised by, student of
10. exploitation mark number, also known as exploitation visa, film distribution certificate (wd:P2755 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): number of the exploitation mark of a movie in France

[Tool]
Got 3 rows and 3 columns:
| subject                        | property                  | object                    |
| ------------------------------ | ------------------------- | ------------------------- |
| Hunter × Hunter (wd:Q70209136) | distributed by (wdt:P750) | Netflix (wd:Q907311)      |
| Hunter × Hunter (wd:Q70209136) | distributed by (wdt:P750) | Hulu (wd:Q1630304)        |
| Hunter × Hunter (wd:Q70209136) | distributed by (wdt:P750) | Crunchyroll (wd:Q1142035) |

[Tool] Got no rows and 3 columns

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

[Tool]
Top 10 entity alternatives:
1. streaming service, also known as streaming website, streaming site, streaming media service, internet streaming service, online streaming service (wd:Q63241860): service that delivers on-demand media content via the Internet
2. live streaming service, also known as livestreaming service, streaming service (wd:Q102336293): audio/video/videogame and/or live streaming platform where users can live stream on a variety of topics
3. streaming service (wd:L501198-S1)
4. music streaming service, also known as music streaming platform, streaming platforms, streaming music service, music streaming website, online music streaming service (wd:Q15590336): type of online service for consuming music
5. video streaming service, also known as live streaming service website (wd:Q59152282): service that delivers video content for real-time viewing via the Internet
6. audio streaming service, also known as Kamo (wd:Q102336992): type of online service for consuming audio
7. Fearless, also known as Fearless App, Fearless for Android, Fearless for iOS, Fearless - Movies + Shows, Fearless streaming service (wd:Q72188926): streaming service
8. a streaming service (wd:L1217763-S1)
9. Disney Streaming, also known as BAMTech, Bamtech Media, Disney Streaming Services (wd:Q29015971): subsidiary of The Walt Disney Company
10. Disney Streaming Services (wd:Q58883817): business unit of The Walt Disney Company

[Tool] Stopped generation process


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

The first Ironman World Championship was held on 1978-01-01 (inception date 1978-01-01T00:00:00Z).

[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?

[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)

[Tool]
Got 1 row and 3 columns:
| subject                                  | property             | object                              |
| ---------------------------------------- | -------------------- | ----------------------------------- |
| Ironman World Championship (wd:Q1420480) | inception (wdt:P571) | 1978-01-01T00:00:00Z (xsd:dateTime) |

[Tool]
Top 10 entity alternatives:
1. Ironman World Championship (wd:Q1420480): triathlon
2. 1978 FIBA World Championship (wd:Q576739): 1978 edition of the FIBA World Championship
3. World Chess Championship 1978 (wd:Q1999918): chess match between Anatoly Karpov and Viktor Korchnoi
4. 1978 World Snooker Championship, also known as 1978 Embassy World Snooker Championship, 47th World Snooker Championship (wd:Q1814771): snooker tournament
5. 1978 Korfball World Championship (wd:Q2568784): international football competition
6. 2009 Ironman World Championship (wd:Q1627953)
7. 2010 Ironman World Championship (wd:Q949501)
8. 2011 Ironman World Championship (wd:Q1144158): Held in Kailua-Kona, Hawaii
9. 2019 Ironman World Championship (wd:Q61081177)
10. 2007 Ironman World Championship, also known as 2007 Ford Ironman World Championship (wd:Q3652214)

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?wc ) AS ?count ) WHERE {
  ?wc wdt:P3450 wd:Q19317 ; wdt:P1346 wd:Q676899 .
}

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

Italy's men's national football 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?

[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. Italy women's national football team (wd:Q775805): women's national association football team representing Italy
3. Italy national under-21 football team, also known as Italy U21, Nazionale di calcio dell'Italia Under-21 (wd:Q922698): national football team of the Men
4. Italy national under-20 football team (wd:Q3873548): selected team of Italian football players under 20 years
5. Italy national under-17 football team (wd:Q2331232): selected team of Italian football players under 17 years
6. Italy national under-19 football team (wd:Q2266580): national association football team
7. Italy national under-23 football team (wd:Q3873569): national association football team
8. Italy national under-16 football team (wd:Q3873502): national association football team
9. Italy national under-18 football team (wd:Q3873513): national association football team
10. Italy national under-15 football team (wd:Q14753120): national association football team

[Tool]
Top 10 property alternatives:
1. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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
2. competition won, also known as won event, won, winner of, victory (wd:P2522 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): competition or sports event won by the subject, participant in
3. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): award or recognition received by a person, organization or creative work
4. number of wins, also known as games won, won, wins, W, sporting wins (wd:P1355 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): number of sporting matches, games or events won
5. results, also known as output, result (wd:P2501 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): results of a competition such as sports or elections
6. has effect, also known as has symptom, implies, leads to, led to, outcome (wd:P1542 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): effect of this item, followed by
7. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): person or organization who grants an award, certification, grant, or role
8. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): underlying cause, entity that ultimately resulted in this effect, follows
9. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): significant or notable events associated with the subject
10. successful candidate, also known as election winner, winning candidate, winner of election, election won by, elected (wd:P991 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): person(s) or political organization(s) elected after the election, candidate, winner

[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

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Tool]
Top 10 entity alternatives:
1. 1934 FIFA World Cup final tournament (wd:Q1477142): single-elimination tournament involving the 16 teams
2. 1938 FIFA World Cup knockout stage, also known as 1938 FIFA World Cup final tournament (wd:Q115514140)
3. 2023 FIFA Women's World Cup play-off tournament squads (wd:Q116812942)
4. 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
5. FIFA World Cup (wd:Q864001): video game series
6. 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
7. 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
8. 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
9. 2022 FIFA World Cup, also known as Qatar 2022, FIFA 2022, 2022 World Cup, FIFA world cup 2022 (wd:Q284163): 22nd FIFA World Cup
10. 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

[Tool]
Got 1 row and 1 column:
| winner                                                      |
| ----------------------------------------------------------- |
| Italy men's national association football team (wd:Q676899) |

[Tool] Got no rows and 4 columns

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

[Tool]
Got 1 row and 3 columns:
| subject                          | property              | object                |
| -------------------------------- | --------------------- | --------------------- |
| 2018 FIFA World Cup (wd:Q170645) | instance of (wdt:P31) | season (wd:Q27020041) |

[Tool] Got no rows and 2 columns

[Tool]
Got 1 row and 3 columns:
| subject                         | property              | object                |
| ------------------------------- | --------------------- | --------------------- |
| 2014 FIFA World Cup (wd:Q79859) | instance of (wdt:P31) | season (wd:Q27020041) |

[Tool]
Got 3 rows and 3 columns:
| subject                          | property              | object                                         |
| -------------------------------- | --------------------- | ---------------------------------------------- |
| 2022 FIFA World Cup (wd:Q284163) | instance of (wdt:P31) | tournament (wd:Q500834)                        |
| 2022 FIFA World Cup (wd:Q284163) | instance of (wdt:P31) | season (wd:Q27020041)                          |
| 2022 FIFA World Cup (wd:Q284163) | instance of (wdt:P31) | association football competition (wd:Q1478437) |

[Tool]
Got 1 row and 1 column:
| instance              |
| --------------------- |
| season (wd:Q27020041) |

[Tool]
Got 8 rows and 2 columns:
| competition                                                            | competitionLabel                                             |
| ---------------------------------------------------------------------- | ------------------------------------------------------------ |
| 1938 FIFA World Cup (wd:Q131591)                                       | 1938 FIFA World Cup (en)                                     |
| 1934 FIFA World Cup (wd:Q1477177)                                      | 1934 FIFA World Cup (en)                                     |
| 1968 UEFA European Championship (wd:Q182201)                           | 1968 UEFA European Championship (en)                         |
| 2006 FIFA World Cup (wd:Q37285)                                        | 2006 FIFA World Cup (en)                                     |
| UEFA Euro 2020 (wd:Q373501)                                            | UEFA Euro 2020 (en)                                          |
| Scania 100 Tournament (wd:Q3994651)                                    | Scania 100 Tournament (en)                                   |
| 1982 FIFA World Cup (wd:Q46934)                                        | 1982 FIFA World Cup (en)                                     |
| football at the 1936 Summer Olympics – men's tournament (wd:Q77316211) | football at the 1936 Summer Olympics – men's tournament (en) |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 3 columns:
| subject                          | property                                           | object                     |
| -------------------------------- | -------------------------------------------------- | -------------------------- |
| 2018 FIFA World Cup (wd:Q170645) | sports season of league or competition (wdt:P3450) | FIFA World Cup (wd:Q19317) |

[Tool]
Got 1 row and 3 columns:
| subject                          | property           | object                                                      |
| -------------------------------- | ------------------ | ----------------------------------------------------------- |
| 2018 FIFA World Cup (wd:Q170645) | winner (wdt:P1346) | France men's national association football team (wd:Q47774) |

[Tool] Stopped generation process


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

Yes, 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?

[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: The future programming language (wd:Q113194464): scientific article published on 20 January 2022
3. Efficiency asynchronous application programming language Python (wd:Q113231212): scientific article published on 18 December 2018
4. PYTHON: THE MOST ADVANCED PROGRAMMING LANGUAGE (wd:Q120764715): scientific article published in 2022
5. Python as Multi Paradigm Programming Language (wd:Q113199030): scientific article published on 16 January 2020
6. Type inference for Python programming language (wd:Q113263977): scientific article published on 25 November 2014
7. Application of python programming language in measurements (wd:Q113222154): scientific article published on 08 February 2019
8. On the Python programming language for statisticians (wd:Q113229894): scientific article published on 29 April 2020
9. TEACHING ALGORITHMIZATION AND PROGRAMMING USING PYTHON LANGUAGE (wd:Q113264868): scientific article published on 17 June 2015
10. Desktop Based Personal Assistance Using Python Programming Language (wd:Q120776424): scientific article published in 2023

[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)

[Tool]
Got 1 row and 1 column:
| class                              |
| ---------------------------------- |
| object-based language (wd:Q899523) |

[Tool]
Got 1 row and 1 column:
| ancestor                        |
| ------------------------------- |
| programming language (wd:Q9143) |

[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 ?num .
  FILTER ( ?num > 100000000 )
}

You can determine whether more than 100,000,000 people speak Japanese with the above ASK query; it will return 'true' if the number of speakers exceeds 100 million, otherwise 'false'.

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

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

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

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

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

[User] Do more than 100000000 people speak Japanese?

[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)

[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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): number of words in text
4. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): language designated as official by this item, language used
5. speaker, also known as speech by, spoken by (wd:P823 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): 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 psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): number of entities that are part of an organization at a particular time

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?cast ?castLabel WHERE {
  wd:Q48817408 wdt:P161 ?cast .
  ?cast wdt:P569 ?birthDate .
  OPTIONAL {
    ?cast rdfs:label ?castLabel FILTER ( LANG( ?castLabel ) = "en" )
  }
}
ORDER BY ASC ( ?birthDate )
LIMIT 1

The oldest cast member of the Netflix show "Queer Eye" is Karamo Brown.

[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” ?

[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. Cotton Eye Joe Show (wd:Q18238202)
5. Queer Eye, season 4 (wd:Q67649081): season of television series
6. Queer Eye, season 3 (wd:Q65590894): season of television series
7. Queer Eye, season 2 (wd:Q57313933): season of television series
8. Queer Eye, season 1 (wd:Q57312338): season of television series
9. Queer Eye, season 5 (wd:Q97455984): 5th season of Netflix series
10. Queer Eye, season 6 (wd:Q110791710): 6th season of Netflix series

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

[Tool] Stopped generation process


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

The magazine (Weekly Shōnen Jump) was established on 1968-01-01.

[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?

[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

[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. 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
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. characters, also known as appears in this work (wd:P674 as p/wdt): characters which appear in this item (like plays, operas, operettas, books, comics, films, TV series, video games)
6. 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
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 p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
8. 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
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. 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

No other items found

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

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

[Tool] Stopped generation process