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 wd:Q7725634 .
}

Got 1 row and 1 column:
| count        |
| ------------ |
| 69 (xsd:int) |

Mark Twain wrote 69 literary works in his lifetime, according to Wikidata.

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

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

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

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

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

[User] How many literary works did Mark Twain write in his lifetime?

[Assistant]
Let's break down the question:

1. The user wants to know the number of literary works written by Mark Twain.
2. First, I need to identify the Wikidata entity for Mark Twain.
3. Next, I need to find the property that links an author to their written works (likely "author" or "written work").
4. Then, I need to filter for literary works (books, novels, etc.) authored by Mark Twain.
5. Finally, I need to count the number of such works.

Let's start by searching for the entity "Mark Twain" in Wikidata.

[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)

[Assistant]
The correct entity for Mark Twain, the American author, is wd:Q7245.

Next, I need to find the property that links an author to their written works. Likely candidates are "author", "written work", or similar. I will search for properties related to "written work" to find the most appropriate one.

[Tool]
Top 10 property alternatives:
1. exemplar of, also known as contains work, includes work, contents (wd:P1574 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): Links an individual copy of a work to the item for that work or edition, instance of
2. programmed in, also known as language, programming language, written in (wd:P277 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): the programming language(s) in which the software is developed
3. writing system, also known as script, writing script, written form (wd:P282 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): alphabet, character set or other system of writing used by a language, word, or text, supported by a typeface
4. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
5. location of creation, also known as manufactured in, manufacturing location, mint, minted at, photographed at (wd:P1071 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): place where the item was conceived or made; where applicable, location of final assembly, significant place
6. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)
7. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): language in which the writer has written their work, languages spoken, written or signed
8. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): organization or person that developed the item, creator
9. screenwriter, also known as story by, teleplay by, video game writer, writer (of screenplays), writing credits (wd:P58 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): person(s) who wrote the script for subject item, film crew member, author
10. composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator

[Assistant]
From the search results, "notable work" (wd:P800) is the closest property that links a person to their significant literary works. However, "notable work" may only include a selection of the most important works, not all works written by Mark Twain.

To be thorough, I should also check for a property like "author" that links a work to its author, which would allow me to find all works authored by Mark Twain. I will search for the property "author" to see if there is a more comprehensive property.

[Tool]
Top 10 property alternatives:
1. theorized by, also known as author, supported by, suggested by, proposer, proposed by (wd:P8403 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): 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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): author of song lyrics, author
3. author, also known as writer, written by, poet, playwright, maker (wd:P50 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/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. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): 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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): 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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): 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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): 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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): 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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): 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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): use as qualifier to indicate how the object's value was given in the source, name

[Assistant]
The property "author" (wd:P50) is the main creator(s) of a written work and is used on works, not humans. This is the most comprehensive property to use for finding all works authored by Mark Twain.

The plan is:
- Query all items where wdt:P50 (author) is wd:Q7245 (Mark Twain).
- Optionally, filter for literary works (books, novels, etc.), but first, let's see what types of works are returned.
- Count the number of such works.

I'll start by executing a query to list a few works where Mark Twain is the author, to check their types.

[Tool]
Got 20 rows and 3 columns, showing the first 5 and last 5 rows below:
| work                                                 | workLabel                                 | type                                          |
| ---------------------------------------------------- | ----------------------------------------- | --------------------------------------------- |
| A Tramp Abroad (wd:Q1004825)                         | A Tramp Abroad (en)                       | literary work (wd:Q7725634)                   |
| Tom Sawyer (wd:Q101084713)                           | Tom Sawyer (en)                           | theatrical production (wd:Q7777570)           |
| wd:Q104554190                                        |                                           | version, edition or translation (wd:Q3331189) |
| wd:Q104554191                                        |                                           | version, edition or translation (wd:Q3331189) |
| Captain Stormfield’s Visit to Heaven (wd:Q105270234) | Captain Stormfield’s Visit to Heaven (en) | version, edition or translation (wd:Q3331189) |
| ...                                                  | ...                                       | ...                                           |
| wd:Q108856333                                        |                                           | version, edition or translation (wd:Q3331189) |
| wd:Q108859281                                        |                                           | version, edition or translation (wd:Q3331189) |
| wd:Q108859286                                        |                                           | version, edition or translation (wd:Q3331189) |
| wd:Q108859287                                        |                                           | version, edition or translation (wd:Q3331189) |
| wd:Q108859288                                        |                                           | version, edition or translation (wd:Q3331189) |

[Assistant]
From the sample results, I see that works authored by Mark Twain include:
- Literary works (wd:Q7725634)
- Theatrical productions (wd:Q7777570)
- Versions, editions, or translations (wd:Q3331189)

To answer the user's question accurately, I should count only original literary works, not versions, editions, or translations. The most relevant type is "literary work" (wd:Q7725634). I will filter the results to include only items that are instances of "literary work".

Now, I'll write a SPARQL query to count the number of items where:
- ?work wdt:P50 wd:Q7245 (author is Mark Twain)
- ?work wdt:P31 wd:Q7725634 (instance of literary work)

Let's proceed with this query.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 69 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly counts the number of distinct literary works (wd:Q7725634) authored by Mark Twain (wd:Q7245) using the appropriate properties (wdt:P50 for author and wdt:P31 for instance of). The answer is accurate and the query follows all the required guidelines. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?service WHERE {
  wd:Q70209136 wdt:P3301 ?service
}

Wikidata does not currently contain explicit information about which video streaming services offer the 'Hunter x Hunter' anime series (either the 2011 or 1999 versions). Properties like 'broadcast by', 'online service', or 'operator' are not used for these series, and no direct links to streaming services are present. Therefore, it is not possible to construct a SPARQL query that answers the question based on the available data.

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

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

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

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

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

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

[Assistant]
Let's break down the question:

1. The main entity is "Hunter x Hunter" (anime series).
2. The user wants to know which video streaming services offer this series.

Step 1: Find the Wikidata entity for "Hunter x Hunter" (anime series).

I'll search for "Hunter x Hunter anime" to get the correct entity.

[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 series for "Hunter x Hunter": the 1999 series (wd:Q21232458) and the 2011 series (wd:Q70209136). Most users refer to the 2011 series when asking about streaming, but I will include both for completeness.

Next, I need to find the property in Wikidata that links a work (like an anime series) to the video streaming services where it is available. I will search for properties related to "streaming service" or "available on".

[Tool]
Top 10 property alternatives:
1. streaming media URL, also known as archives, streaming url (wd:P963 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): person, profession, organization or entity that operates the equipment, facility, or service, used by
7. Ustream username (wd:P4017 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): this item's username on Ustream, website username or ID
8. service options (wd:P11424 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): network(s) or service(s) that originally broadcast a radio or television program, broadcast by

[Assistant]
The most relevant properties seem to be:

- "broadcast by" (wd:P3301): includes TV channels and possibly streaming services.
- "streaming media URL" (wd:P963): gives a direct URL, but not the service name.
- "online service" (wd:P2361): could be relevant for streaming platforms.

I will check which of these properties are used for the 2011 "Hunter x Hunter" anime series (wd:Q70209136).

[Tool]
Got 535 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                        | object                                    |
| ------------------------------ | ----------------------------------------------- | ----------------------------------------- |
| Hunter × Hunter (wd:Q70209136) | instance of (wdt:P31)                           | anime television series (wd:Q63952888)    |
| Hunter × Hunter (wd:Q70209136) | has part(s) (wdt:P527)                          | Departure × And × Friends (wd:Q116849528) |
| Hunter × Hunter (wd:Q70209136) | country of origin (wdt:P495)                    | Japan (wd:Q17)                            |
| Hunter × Hunter (wd:Q70209136) | official website (wdt:P856)                     | <https://www.ntv.co.jp/hunterhunter/>     |
| Hunter × Hunter (wd:Q70209136) | genre (wdt:P136)                                | fantasy anime and manga (wd:Q15637301)    |
| Hunter × Hunter (wd:Q70209136) | start time (wdt:P580)                           | 2011-10-02T00:00:00Z (xsd:dateTime)       |
| Hunter × Hunter (wd:Q70209136) | end time (wdt:P582)                             | 2014-09-24T00:00:00Z (xsd:dateTime)       |
| Hunter × Hunter (wd:Q70209136) | social media followers (wdt:P8687)              | 110075 (xsd:decimal)                      |
| Hunter × Hunter (wd:Q70209136) | original language of film or TV show (wdt:P364) | Japanese (wd:Q5287)                       |
| Hunter × Hunter (wd:Q70209136) | distribution format (wdt:P437)                  | video on demand (wd:Q723685)              |
| ...                            | ...                                             | ...                                       |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 535 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                        | object                                    |
| ------------------------------ | ----------------------------------------------- | ----------------------------------------- |
| Hunter × Hunter (wd:Q70209136) | instance of (wdt:P31)                           | anime television series (wd:Q63952888)    |
| Hunter × Hunter (wd:Q70209136) | has part(s) (wdt:P527)                          | Departure × And × Friends (wd:Q116849528) |
| Hunter × Hunter (wd:Q70209136) | country of origin (wdt:P495)                    | Japan (wd:Q17)                            |
| Hunter × Hunter (wd:Q70209136) | official website (wdt:P856)                     | <https://www.ntv.co.jp/hunterhunter/>     |
| Hunter × Hunter (wd:Q70209136) | genre (wdt:P136)                                | fantasy anime and manga (wd:Q15637301)    |
| Hunter × Hunter (wd:Q70209136) | start time (wdt:P580)                           | 2011-10-02T00:00:00Z (xsd:dateTime)       |
| Hunter × Hunter (wd:Q70209136) | end time (wdt:P582)                             | 2014-09-24T00:00:00Z (xsd:dateTime)       |
| Hunter × Hunter (wd:Q70209136) | social media followers (wdt:P8687)              | 110075 (xsd:decimal)                      |
| Hunter × Hunter (wd:Q70209136) | original language of film or TV show (wdt:P364) | Japanese (wd:Q5287)                       |
| Hunter × Hunter (wd:Q70209136) | distribution format (wdt:P437)                  | video on demand (wd:Q723685)              |
| ...                            | ...                                             | ...                                       |

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

[Tool] Got no rows and 3 columns

[Assistant]
None of the obvious properties ("broadcast by", "online service", "streaming media URL", "operator") are used for the 2011 "Hunter x Hunter" anime series in Wikidata. There is, however, a property "distribution format" (wdt:P437) with the value "video on demand" (wd:Q723685), which suggests that it is available on streaming services, but does not specify which ones.

Let me check if the 1999 series (wd:Q21232458) has any streaming service information.

[Tool]
Got 254 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                        | object                                                                              |
| ------------------------------ | ----------------------------------------------- | ----------------------------------------------------------------------------------- |
| Hunter × Hunter (wd:Q21232458) | instance of (wdt:P31)                           | anime television series (wd:Q63952888)                                              |
| Hunter × Hunter (wd:Q21232458) | has part(s) (wdt:P527)                          | A Boy Setting Out for a Journey ...ing Behind the Sound of the Wind (wd:Q131522601) |
| Hunter × Hunter (wd:Q21232458) | country of origin (wdt:P495)                    | Japan (wd:Q17)                                                                      |
| Hunter × Hunter (wd:Q21232458) | official website (wdt:P856)                     | <http://www.nippon-animation.co.jp/na/hunter/index.htm>                             |
| Hunter × Hunter (wd:Q21232458) | start time (wdt:P580)                           | 1999-10-16T00:00:00Z (xsd:dateTime)                                                 |
| Hunter × Hunter (wd:Q21232458) | end time (wdt:P582)                             | 2001-03-31T00:00:00Z (xsd:dateTime)                                                 |
| Hunter × Hunter (wd:Q21232458) | original language of film or TV show (wdt:P364) | Japanese (wd:Q5287)                                                                 |
| Hunter × Hunter (wd:Q21232458) | director (wdt:P57)                              | Kazuhiro Furuhashi (wd:Q377730)                                                     |
| Hunter × Hunter (wd:Q21232458) | original broadcaster (wdt:P449)                 | Fuji Television (wd:Q744800)                                                        |
| Hunter × Hunter (wd:Q21232458) | voice actor (wdt:P725)                          | Junko Takeuchi (wd:Q242493)                                                         |
| ...                            | ...                                             | ...                                                                                |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Assistant]
Neither the 2011 nor the 1999 "Hunter x Hunter" anime series have explicit streaming service information in Wikidata. The only related property is "distribution format: video on demand", which is too generic.

Let me try a different approach: search for video streaming services in Wikidata, then see if any have a relationship to "Hunter x Hunter" (2011) as a work they offer. I'll search for "video streaming service" entities.

[Tool]
Top 10 entity alternatives:
1. video streaming service, also known as live streaming service website (wd:Q59152282): service that delivers video content for real-time viewing via the Internet
2. video streaming service app, also known as VOD app (wd:Q122538751): video streaming service presented through a mobile phone application
3. video game streaming service (wd:Q102337068)
4. Video streaming service and CD sales (wd:Q108808652): scientific article
5. Video curation service for personal streaming (wd:Q121085963): US patent 11410702
6. Quality of service for a video streaming service (wd:Q119326623): US patent 11356566
7. 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
8. Video Service, also known as VIDEO Service Co.,ltd. (wd:Q11330842)
9. Co-streaming within a live interactive video game streaming service (wd:Q118323856): US patent 11172012
10. Dynamic custom interstitial tran...eos for video streaming services (wd:Q119072461): US patent 11388452

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. Crunchyroll, also known as crunchyroll.com (wd:Q1142035): American video streaming service
2. Crunchyroll SA, also known as Anime Virtual, Crunchyroll, Viz Media Switzerland (wd:Q682156): Swiss anime and manga publisher and subsidiary of Crunchyroll, LLC
3. Crunchyroll GmbH, also known as Crunchyroll (wd:Q127950325): German anime and manga publisher and subsidiary of Crunchyroll SA
4. Crunchyroll SAS, also known as Crunchyroll EMEA, Viz Media Europe (wd:Q17056754): European entertainment company and subsidiary of Crunchyroll, LLC
5. Crunchyroll Expo, also known as CRX (wd:Q67780678): anime convention
6. Crunchyroll, LLC, also known as Crunchyroll LLC, Funimation Entertainment, Funimation Global Group, LLC, Funimation, Inc., Funimation Productions, Ltd. (wd:Q88911913): American entertainment company
7. Crunchyroll Channel, also known as Funimation Channel (wd:Q107183526): American streaming channel
8. Crunchyroll Manga (wd:Q17048979): American digital manga anthology
9. Crunchyroll ANZ, also known as Crunchyroll Store Australia, Madman Anime Group, Madman Anime, Crunchyroll Pty. Ltd., Crunchyroll Australia and New Zealand (wd:Q107618413): Australian anime distributor
10. Crunchyroll Studios (wd:Q129322491): American animation studio (2018–2023)

[Tool]
Got 423 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                         | object                              |
| ------------------------- | -------------------------------- | ----------------------------------- |
| Crunchyroll (wd:Q1142035) | instance of (wdt:P31)            | mobile app (wd:Q620615)             |
| Crunchyroll (wd:Q1142035) | main subject (wdt:P921)          | anime and manga (wd:Q10901350)      |
| Crunchyroll (wd:Q1142035) | country (wdt:P17)                | United States (wd:Q30)              |
| Crunchyroll (wd:Q1142035) | Commons category (wdt:P373)      | Crunchyroll                         |
| Crunchyroll (wd:Q1142035) | inception (wdt:P571)             | 2006-01-01T00:00:00Z (xsd:dateTime) |
| Crunchyroll (wd:Q1142035) | country of origin (wdt:P495)     | United States (wd:Q30)              |
| Crunchyroll (wd:Q1142035) | official website (wdt:P856)      | <https://www.crunchyroll.com/>      |
| Crunchyroll (wd:Q1142035) | owned by (wdt:P127)              | Sony Group (wd:Q41187)              |
| Crunchyroll (wd:Q1142035) | headquarters location (wdt:P159) | San Francisco (wd:Q62)              |
| Crunchyroll (wd:Q1142035) | topic's main category (wdt:P910) | wd:Q29052443                        |
| ...                       | ...                              | ...                                 |

[Tool] Got no rows and 3 columns

[Tool]
Got 5 rows and 3 columns:
| subject                                                      | property                 | object                    |
| ------------------------------------------------------------ | ------------------------ | ------------------------- |
| NieR:Automata Ver1.1a (wd:Q111657460)                        | broadcast by (wdt:P3301) | Crunchyroll (wd:Q1142035) |
| Shirobako (wd:Q17903715)                                     | broadcast by (wdt:P3301) | Crunchyroll (wd:Q1142035) |
| Love Live! Superstar!! (wd:Q99400994)                        | broadcast by (wdt:P3301) | Crunchyroll (wd:Q1142035) |
| Bastions (wd:Q118106191)                                     | broadcast by (wdt:P3301) | Crunchyroll (wd:Q1142035) |
| Yohane the Parhelion: Sunshine in the Mirror (wd:Q119288989) | broadcast by (wdt:P3301) | Crunchyroll (wd:Q1142035) |

[Tool]
Got 5 rows and 3 columns:
| subject                                                      | property                 | object                    |
| ------------------------------------------------------------ | ------------------------ | ------------------------- |
| NieR:Automata Ver1.1a (wd:Q111657460)                        | broadcast by (wdt:P3301) | Crunchyroll (wd:Q1142035) |
| Shirobako (wd:Q17903715)                                     | broadcast by (wdt:P3301) | Crunchyroll (wd:Q1142035) |
| Love Live! Superstar!! (wd:Q99400994)                        | broadcast by (wdt:P3301) | Crunchyroll (wd:Q1142035) |
| Bastions (wd:Q118106191)                                     | broadcast by (wdt:P3301) | Crunchyroll (wd:Q1142035) |
| Yohane the Parhelion: Sunshine in the Mirror (wd:Q119288989) | broadcast by (wdt:P3301) | Crunchyroll (wd:Q1142035) |

[Tool]
Got 5 rows and 3 columns:
| subject                                                      | property                 | object                    |
| ------------------------------------------------------------ | ------------------------ | ------------------------- |
| NieR:Automata Ver1.1a (wd:Q111657460)                        | broadcast by (wdt:P3301) | Crunchyroll (wd:Q1142035) |
| Shirobako (wd:Q17903715)                                     | broadcast by (wdt:P3301) | Crunchyroll (wd:Q1142035) |
| Love Live! Superstar!! (wd:Q99400994)                        | broadcast by (wdt:P3301) | Crunchyroll (wd:Q1142035) |
| Bastions (wd:Q118106191)                                     | broadcast by (wdt:P3301) | Crunchyroll (wd:Q1142035) |
| Yohane the Parhelion: Sunshine in the Mirror (wd:Q119288989) | broadcast by (wdt:P3301) | Crunchyroll (wd:Q1142035) |

[Assistant]
The property "broadcast by" (wdt:P3301) is used to link anime series to Crunchyroll, but "Hunter x Hunter" does not appear in the results for Crunchyroll. This suggests that Wikidata does not currently record which streaming services offer "Hunter x Hunter" (2011 or 1999) using this property.

Given the lack of explicit streaming service information for "Hunter x Hunter" in Wikidata, I cannot provide a SPARQL query that answers your question accurately.

I will cancel and explain the situation.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The explanation is correct and thorough. The system attempted to use the appropriate property (P3301: broadcast by/streamed by) to find streaming services for the 'Hunter x Hunter' anime series, but Wikidata does not currently contain this information for the series. The SPARQL query is reasonable, and the absence of results is accurately explained. No further refinement is possible given the current state of the data.


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 was held 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 http://amur:7001

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

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

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

[User] 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 the property for its "first occurrence" or "inception date".

First, I will 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 would give the date of the first occurrence or inception of this event. Common properties for this are "inception," "start time," or "first held."

I will search for properties related to "inception" 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
5. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as wdtn/wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): item that is different from another item, with which it may be confused

No other items found

[Assistant]
The property "inception" (wdt:P571) is the most relevant for finding when the Ironman World Championship first began.

Now, I will write a SPARQL query to retrieve the inception date for wd:Q1420480 (Ironman World Championship).

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer is correct and complete. The SPARQL query directly retrieves the inception date (P571) of the Ironman World Championship (Q1420480) from Wikidata, which is exactly what is needed to answer the question about when the first Ironman World Championship was held. The result matches the expected answer (1978). No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ( COUNT( ?edition ) AS ?count ) WHERE {
  ?edition wdt:P1346 wd:Q676899 .
  ?edition wdt:P31 wd:Q27020041 .
  ?edition rdfs:label ?label
  FILTER ( lang( ?label ) = "en" ) FILTER ( CONTAINS( ?label , "FIFA World Cup" ) )
}

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 http://amur:7001

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

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

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

[User] How many times 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 for "winning" or "winner of" the "Fifa World Cup".
3. We need to identify the entity for the "Fifa World Cup".
4. We need to count the number of times the Italian national soccer team is recorded as the winner of the Fifa World Cup.

Let's start by searching for the entity "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, let's search for 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 correct entity for the Fifa World Cup is "FIFA World Cup" (wd:Q19317).

Now, we need to find the property that links a team to being a "winner" of the FIFA World Cup. Let's search for properties related to "winner" or "champion".

[Tool]
Top 10 property alternatives:
1. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/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
2. competition won, also known as won event, won, winner of, victory (wd:P2522 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): 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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): 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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): number of sporting matches, games or events won
5. results, also known as output, result (wd:P2501 as pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): 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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): 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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): 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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): 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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): 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 pqn/psn/pq/pqv/prv/ps/wdtn/psv/pr/p/prn/wdt): person(s) or political organization(s) elected after the election, candidate, winner

[Assistant]
The most relevant property for "winner" is "winner" (wd:P1346).

Now, let's check how this property is used, specifically for the FIFA World Cup, to ensure we use it correctly. We'll list some triples where the property "winner" (wdt:P1346) is used and see if the object is the Italy men's national association football team or similar.

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                                                     | property           | object           |
| --------------------------------------------------------------------------- | ------------------ | ---------------- |
| European Three-Cushion Championship for National Teams 2022 (wd:Q110698969) | winner (wdt:P1346) | Turkey (wd:Q43)  |
| 2021 ATP Cup (wd:Q104710271)                                                | winner (wdt:P1346) | Russia (wd:Q159) |
| 2022 World Judo Championships – Mixed team (wd:Q110836205)                  | winner (wdt:P1346) | Japan (wd:Q17)   |
| wd:Q111588252                                                               | winner (wdt:P1346) | Italy (wd:Q38)   |
| 2021 European Junior Mixed Team Judo Championships (wd:Q108524125)          | winner (wdt:P1346) | France (wd:Q142) |
| 1983 Cricket World Cup (wd:Q1139931)                                        | winner (wdt:P1346) | India (wd:Q668)  |
| 2021 Scotties Tournament of Hearts (wd:Q105063014)                          | winner (wdt:P1346) | Canada (wd:Q16)  |
| Women's team épée at the 2023 World Fencing Championships (wd:Q121029023)   | winner (wdt:P1346) | Poland (wd:Q36)  |
| 1968 World Orienteering Championships – Relay women (wd:Q105452691)         | winner (wdt:P1346) | Norway (wd:Q20)  |
| FIFAe Nations Cup 2022 (wd:Q113369074)                                      | winner (wdt:P1346) | Brazil (wd:Q155) |
| ...                                                                         | ...                | ...              |

[Assistant]
The "winner" property (wdt:P1346) is used to link a competition (subject) to its winner (object). For the FIFA World Cup, the subject should be each edition (e.g., 2006 FIFA World Cup), and the object should be the winning team (e.g., Italy men's national association football team).

Therefore, to answer the question, we need to count how many times the Italy men's national association football team (wd:Q676899) is the winner (wdt:P1346) of an edition of the FIFA World Cup (wd:Q19317).

To do this, we need to:
- Find all editions of the FIFA World Cup (instances of wd:Q19317).
- For each edition, check if the winner is wd:Q676899.
- Count the number of such editions.

Let's check which property links an edition to its "instance of" (so we can filter for FIFA World Cup editions).

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

[Assistant]
The property "instance of" (wd:P31) is used to indicate that an item is an instance of a class, such as an edition of the FIFA World Cup.

Now, let's put this all together:
- Select all items that are an "instance of" the FIFA World Cup (wd:Q19317).
- For each, check if the winner (wdt:P1346) is the Italy men's national association football team (wd:Q676899).
- Count the number of such items.

Let's write the SPARQL query to do this.

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

[Assistant]
According to the query, the count is 0. This suggests that the editions of the FIFA World Cup may not be directly marked as "instance of" (wd:Q19317), or the winner property may be used differently.

Let's check how the 2006 FIFA World Cup (which Italy won) is modeled. We'll list its properties to see how the winner is recorded.

[Tool]
Got 829 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                       | object                                          |
| ------------------------------- | ------------------------------ | ----------------------------------------------- |
| 2006 FIFA World Cup (wd:Q37285) | instance of (wdt:P31)          | season (wd:Q27020041)                           |
| 2006 FIFA World Cup (wd:Q37285) | country (wdt:P17)              | Germany (wd:Q183)                               |
| 2006 FIFA World Cup (wd:Q37285) | coordinate location (wdt:P625) | POINT(13.239444 52.514722) (geo:wktLiteral)     |
| 2006 FIFA World Cup (wd:Q37285) | Commons category (wdt:P373)    | 2006 FIFA World Cup                             |
| 2006 FIFA World Cup (wd:Q37285) | location (wdt:P276)            | Allianz Arena (wd:Q127429)                      |
| 2006 FIFA World Cup (wd:Q37285) | has part(s) (wdt:P527)         | 2006 FIFA World Cup knockout stage (wd:Q175493) |
| 2006 FIFA World Cup (wd:Q37285) | sport (wdt:P641)               | association football (wd:Q2736)                 |
| 2006 FIFA World Cup (wd:Q37285) | follows (wdt:P155)             | 2002 FIFA World Cup (wd:Q47735)                 |
| 2006 FIFA World Cup (wd:Q37285) | followed by (wdt:P156)         | 2010 FIFA World Cup (wd:Q176883)                |
| 2006 FIFA World Cup (wd:Q37285) | point in time (wdt:P585)       | 2006-01-01T00:00:00Z (xsd:dateTime)             |
| ...                             | ...                            | ...                                             |

[Tool]
Got 282 rows and 3 columns, showing the first 10 rows below:
| subject                                      | property           | object                                                      |
| -------------------------------------------- | ------------------ | ----------------------------------------------------------- |
| 2006 FIFA World Cup (wd:Q37285)              | winner (wdt:P1346) | Italy men's national association football team (wd:Q676899) |
| UEFA Euro 2020 (wd:Q373501)                  | winner (wdt:P1346) | Italy men's national association football team (wd:Q676899) |
| 1934 FIFA World Cup (wd:Q1477177)            | winner (wdt:P1346) | Italy men's national association football team (wd:Q676899) |
| 1938 FIFA World Cup (wd:Q131591)             | winner (wdt:P1346) | Italy men's national association football team (wd:Q676899) |
| 1982 FIFA World Cup (wd:Q46934)              | winner (wdt:P1346) | Italy men's national association football team (wd:Q676899) |
| 1968 UEFA European Championship (wd:Q182201) | winner (wdt:P1346) | Italy men's national association football team (wd:Q676899) |
| 2006 FIFA World Cup Final (wd:Q268567)       | winner (wdt:P1346) | Italy men's national association football team (wd:Q676899) |
| UEFA Euro 2020 finals (wd:Q72387958)         | winner (wdt:P1346) | Italy men's national association football team (wd:Q676899) |
| 1938 FIFA World Cup Final (wd:Q945575)       | winner (wdt:P1346) | Italy men's national association football team (wd:Q676899) |
| 1934 FIFA World Cup Final (wd:Q945608)       | winner (wdt:P1346) | Italy men's national association football team (wd:Q676899) |
| ...                                          | ...                | ...                                                         |

[Tool]
Top 10 property alternatives:
1. edition number, also known as number of event, software version number, version number (wd:P393 as wdt/p): number of an edition (first, second, ... as 1, 2, ...) or event, series ordinal
2. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. organizer, also known as promoter, presenter, organizing body, organized by, organising body (wd:P664 as wdt/p): person or institution organizing an event
5. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
6. number of matches played/races/starts, also known as gp, starts, races, number of games played, mp (wd:P1350 as wdt/p): matches or games a player or a team played during an event. Also...matches a player officially appeared in during the whole career.
7. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt/p): time an entity begins to exist or a statement starts being valid, point in time
8. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt/p): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
9. page banner, also known as article banner, WV banner, Women in Red banner, WIR banner, Wikivoyage banner (wd:P948 as wdt/p): image at top of an article about the topic, mainly used by Wikivoyage and Women in Red, image
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/p): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

No other items found

[Assistant]
From the previous list, we see that the following editions of the FIFA World Cup have Italy as the winner:
- 1934 FIFA World Cup (wd:Q1477177)
- 1938 FIFA World Cup (wd:Q131591)
- 1982 FIFA World Cup (wd:Q46934)
- 2006 FIFA World Cup (wd:Q37285)

This matches the historical record (Italy has won the FIFA World Cup four times).

To ensure accuracy, let's write a query that:
- Selects all items where the winner (wdt:P1346) is wd:Q676899 (Italy men's national association football team)
- Filters those items to only include those that are "instance of" (wdt:P31) FIFA World Cup (wd:Q19317)
- Counts the results

Let's write and execute this improved query.

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

[Assistant]
The count is still 0, which suggests that the editions of the FIFA World Cup may not be directly marked as "instance of" FIFA World Cup (wd:Q19317), but perhaps as "instance of" something else (like "season").

From the earlier property listing for the 2006 FIFA World Cup (wd:Q37285), we saw it is "instance of" "season" (wd:Q27020041).

Let's check what property links a "season" to the FIFA World Cup, or if there is a better way to identify all editions of the FIFA World Cup. Alternatively, we can simply count the number of items with:
- winner (wdt:P1346) Italy men's national association football team (wd:Q676899)
- and label containing "FIFA World Cup"

Let's try listing all items where the winner is Italy men's national association football team and see their labels to identify the FIFA World Cup editions.

[Tool]
Got 282 rows and 2 columns, showing the first 5 and last 5 rows below:
| edition                                                                       | editionLabel                                                       |
| ----------------------------------------------------------------------------- | ------------------------------------------------------------------ |
| 2020 UEFA European Championship Match 15, Italy v Switzerland (wd:Q107329491) | 2020 UEFA European Championship Match 15, Italy v Switzerland (en) |
| 2020 UEFA European Championship Match 1, Türkiye v Italy (wd:Q107329522)      | 2020 UEFA European Championship Match 1, Türkiye v Italy (en)      |
| 2020 UEFA European Championship Match 49, Italy v Spain (wd:Q107472849)       | 2020 UEFA European Championship Match 49, Italy v Spain (en)       |
| 2020 UEFA European Championship Match 26, Italy v Wales (wd:Q107557271)       | 2020 UEFA European Championship Match 26, Italy v Wales (en)       |
| 2020 UEFA European Championship Match 38, Italy v Austria (wd:Q108936898)     | 2020 UEFA European Championship Match 38, Italy v Austria (en)     |
| ...                                                                           | ...                                                                |
| UEFA Euro 2020 Group A (wd:Q72388377)                                         | UEFA Euro 2020 Group A (en)                                        |
| football at the 1936 Summer Olympics – men's tournament (wd:Q77316211)        | football at the 1936 Summer Olympics – men's tournament (en)       |
| 1982 FIFA World Cup Final (wd:Q909551)                                        | 1982 FIFA World Cup Final (en)                                     |
| 1938 FIFA World Cup Final (wd:Q945575)                                        | 1938 FIFA World Cup Final (en)                                     |
| 1934 FIFA World Cup Final (wd:Q945608)                                        | 1934 FIFA World Cup Final (en)                                     |

[Assistant]
The query returns both matches and tournaments. The actual editions of the FIFA World Cup that Italy won are:
- 1934 FIFA World Cup (wd:Q1477177)
- 1938 FIFA World Cup (wd:Q131591)
- 1982 FIFA World Cup (wd:Q46934)
- 2006 FIFA World Cup (wd:Q37285)

Let's write a query that:
- Selects all items where the winner is Italy men's national association football team (wd:Q676899)
- The label contains "FIFA World Cup"
- The label does not contain "Final" (to avoid matches, not tournaments)
- Count the results

This should give us the correct number of FIFA World Cup wins for Italy.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 45 (xsd:int) |

[Tool]
Got 45 rows and 2 columns, showing the first 5 and last 5 rows below:
| edition                                                 | label                                        |
| ------------------------------------------------------- | -------------------------------------------- |
| 1934 FIFA World Cup Match 7 (wd:Q115495185)             | 1934 FIFA World Cup Match 7 (en)             |
| 1934 FIFA World Cup Match 13 (wd:Q115495191)            | 1934 FIFA World Cup Match 13 (en)            |
| 1934 FIFA World Cup Match 14 (wd:Q115495192)            | 1934 FIFA World Cup Match 14 (en)            |
| 1934 FIFA World Cup third place playoff (wd:Q115495195) | 1934 FIFA World Cup third place playoff (en) |
| 1938 FIFA World Cup Match 13 (wd:Q115495209)            | 1938 FIFA World Cup Match 13 (en)            |
| ...                                                     | ...                                          |
| 1938 FIFA World Cup Match 5 (wd:Q25512306)              | 1938 FIFA World Cup Match 5 (en)             |
| 1982 FIFA World Cup Match 49 (wd:Q2847513)              | 1982 FIFA World Cup Match 49 (en)            |
| 2006 FIFA World Cup (wd:Q37285)                         | 2006 FIFA World Cup (en)                     |
| 1982 FIFA World Cup (wd:Q46934)                         | 1982 FIFA World Cup (en)                     |
| 2006 FIFA World Cup Match 9 (wd:Q5863169)               | 2006 FIFA World Cup Match 9 (en)             |

[Assistant]
The query is returning matches and not just the tournament editions, which inflates the count. To get only the editions, we should look for items whose label matches the pattern "FIFA World Cup" and whose type is "season" (wd:Q27020041), as seen with the 2006 FIFA World Cup.

Let's write a query that:
- Selects all items where the winner is Italy men's national association football team (wd:Q676899)
- The item is an instance of "season" (wd:Q27020041)
- The label contains "FIFA World Cup"
- Count the results

This should accurately return the number of World Cup wins for Italy.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and follows all the required rules. It counts the number of FIFA World Cup editions (instances of Q27020041) where the winner (P1346) is the Italian national soccer team (wd:Q676899). The answer matches the expected result, and the query returns the actual count directly from the knowledge graph. No further refinement is needed.


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 http://amur:7001

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

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

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

[User] Is Python a kind of Programming languages?

[Assistant]
Let's break down the question:

- "Python" likely refers to the programming language.
- "Programming languages" is a class or category.
- The question is asking if Python is an instance of the class "Programming languages".

Step 1: Find the entity for "Python" in Wikidata.
Step 2: Find the entity for "Programming languages" in Wikidata.
Step 3: Check if Python is an instance of (P31) or subclass of (P279) Programming languages.

I'll start by searching 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

[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 entity for Python (the programming language) is wd:Q28865.
The 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).
Since the question is "Is Python a kind of Programming languages?", an ASK query is appropriate.

I'll construct an ASK query to check if Python is an instance or subclass of programming language.

[Tool] False

[Tool]
Got 1,169 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 1,497 rows and 3 columns, showing the first 10 rows below:
| subject                            | property              | object                          |
| ---------------------------------- | --------------------- | ------------------------------- |
| C (wd:Q15777)                      | instance of (wdt:P31) | programming language (wd:Q9143) |
| JavaScript (wd:Q2005)              | instance of (wdt:P31) | programming language (wd:Q9143) |
| C++ (wd:Q2407)                     | instance of (wdt:P31) | programming language (wd:Q9143) |
| Cascading Style Sheets (wd:Q46441) | instance of (wdt:P31) | programming language (wd:Q9143) |
| SQL (wd:Q47607)                    | instance of (wdt:P31) | programming language (wd:Q9143) |
| Perl (wd:Q42478)                   | instance of (wdt:P31) | programming language (wd:Q9143) |
| Lua (wd:Q207316)                   | instance of (wdt:P31) | programming language (wd:Q9143) |
| BASIC (wd:Q42979)                  | instance of (wdt:P31) | programming language (wd:Q9143) |
| Visual Basic (wd:Q2378)            | instance of (wdt:P31) | programming language (wd:Q9143) |
| Fortran (wd:Q83303)                | instance of (wdt:P31) | programming language (wd:Q9143) |
| ...                                | ...                   | ...                             |

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

[Tool]
Got 275 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] True

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The ASK query checks whether Python (wd:Q28865) is an instance of (P31) or a subclass of (P279*) programming language (wd:Q9143), which is the appropriate way to answer the question. The answer and explanation are accurate.