PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK {
  wd:Q90238 wdt:P485 wd:Q24568958 .
}

Yes, the Leeds University Library (wd:Q24568958) contains the archives of George Meredith (wd:Q90238), 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 https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

[User] Does  Leeds University Library website contain the archives of George Meredith??

[Assistant]
Let's break down the question:

1. "Leeds University Library website" likely refers to the website of the Leeds University Library, which may have a Wikidata entity.
2. "Archives of George Meredith" refers to archival material related to George Meredith, a known writer.
3. The question is asking if the Leeds University Library website contains (or hosts) the archives of George Meredith.

Step 1: Identify the Wikidata entity for Leeds University Library.
Step 2: Identify the Wikidata entity for George Meredith.
Step 3: Find properties related to "archives" or "archival material" and "website contains" or "hosted by".
Step 4: See if there is a connection between Leeds University Library (or its website) and the archives of George Meredith.

Let's start by searching for "Leeds University Library" and "George Meredith" as entities.

[Tool]
Top 10 entity alternatives:
1. Leeds University Library, also known as University of Leeds Library (wd:Q24568958): academic library
2. Leeds University Library (wd:Q58945727): scholarly article
3. University Library, Leeds (wd:Q58956102): scientific article published in Nature
4. University of Leeds Library (wd:Q60119506): scientific article published in Nature
5. Leeds University Library Cookery Collection (wd:Q30589920)
6. University of Leeds Brotherton Library (wd:Q58942914): scientific article published in Nature
7. Horae Beatae Mariae Virginis, also known as Leeds University Library; Brotherton Collection MS 5 (wd:Q26208717): book of hours in Leeds University Library
8. Rahlfs 9027, also known as Leeds, Leeds University Library, Brotherton Collection, MS 33 (wd:Q130224525): Greek manuscript of Theodoret's Commentary on the Psalms
9. Library of the University of Leeds: Annual Report (wd:Q59078582): scientific article published in Nature
10. University of Leeds, also known as Leeds University (wd:Q503424): university in Leeds, United Kingdom

[Tool]
Top 10 entity alternatives:
1. George Meredith (wd:Q90238): British novelist and poet (1828–1909), prose writer, novelist, writer, poet
2. George Meredith (wd:Q5542412): Tasmanian settler
3. George Meredith (wd:Q106564911): photomechanical print by Frederick Hollyer
4. George Meredith (wd:Q20861887): painting by John McLure Hamilton
5. George Meredith (wd:Q28050645): painting by George Frederic Watts
6. George Meredith (wd:Q28051057): painting by William Strang
7. George Meredith (wd:Q75591970): Peerage person ID=231199
8. George Fitzhardinge Meredith, also known as George Meredith (wd:Q75531418): (born 1891)
9. Trevor Meredith, also known as Trevor George Meredith (wd:Q7839320): English footballer (born 1936), association football player
10. Meredith Kline, also known as Meredith George Kline (wd:Q6818947): American theologian, university teacher, theologian

[Tool]
Top 10 property alternatives:
1. streaming media URL, also known as archives, streaming url (wd:P963 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): URL where the subject's media stream exists, URL
2. collection, also known as editorial collection, series, repository, museum collection, held by (wd:P195 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): art, museum, archival, or bibliographic collection of which the subject is part, part of
3. Internet Archive ID, also known as Internet Archive identifier, IA ID, archive.org ID, IAid, archive.org (wd:P724 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): identifier for an item on Internet Archive
4. newspaper archive URL, also known as magazine archive URL, periodical archive URL, newspaper back issues at, newspaper archive, back issues at (wd:P7213 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): online repository of newspaper, archive URL
5. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): entity (person, organization, etc.) that caused a record or collection to be produced or gathered
6. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): date or point in time when a work was first published or released, point in time
7. review score by, also known as publication, reviewer, score issuer, scorer (wd:P447 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): issuer of a review score
8. house publication, also known as has mouthpiece, publishes, publication, organization publication, organisation publication (wd:P2813 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): media that speaks for an organization or a movement, and that is usually edited by its members
9. 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 prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): URL of a web page containing the full body of this item, URL
10. is recto of, also known as verso (wd:P2681 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): the two-dimensional artwork that is on the back (verso) side of this artwork

[Tool]
Top 10 property alternatives:
1. official shop URL, also known as online store, shop, shop URL, store, store URL (wd:P10225 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): official URL where the agent sells products/merchandise, official website
2. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
3. title of broader work, also known as container title, website title (wd:P6333 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): title of website, journal or other work in which an article (or ...is published in. Use "published in" (P1433) instead if possible.
4. login URL, also known as sign-in URL, sign in URL, sign-in page, sign in page, login page (wd:P11903 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): URL of a webpage used to log into a service, URL
5. product or material produced, also known as products, product or service provided, product, material, or service produced or provided, product, producer of (wd:P1056 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
6. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
7. sitemap URL, also known as sitemap xml, site map URL, sitemap (wd:P11212 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): URL to the sitemap of the subject's official website, URL
8. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): name of the Reddit forum associated to this subject
9. reference URL, also known as URL fonte, webref, URL ref, URL, site (wd:P854 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): should be used for Internet URLs as references. Use "Wikimedia import URL" (P4656) for imports from WMF sites, URL
10. URL, also known as Uniform Resource Locator, URLs, Uniform Resource Locators (wd:P2699 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): location of a resource

[Tool]
Top 10 property alternatives:
1. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): entity (person, organization, etc.) that caused a record or collection to be produced or gathered
2. archives at, also known as archive location, correspondence at, papers at (wd:P485 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): the institution holding the subject's archives, significant place
3. collection, also known as editorial collection, series, repository, museum collection, held by (wd:P195 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): art, museum, archival, or bibliographic collection of which the subject is part, part of
4. type of document(s) held, also known as type of artefact(s) held, type of material in archive, type of material in collection, type of material in documentation file(s), type of resources held (wd:P11868 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): used to specify the type of document(s) contained in an archival collection or documentation file
5. fonds, also known as archival fonds (wd:P12095 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): part of an archival collection which an item belongs to
6. archive date, also known as archival date, archivedate, archived in, date archived (wd:P2960 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): date a document was archived
7. contains, also known as container of, contents, encloses, has contents, holds (wd:P4330 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): item or substance located within this item but not part of it
8. archive URL, also known as URL archived, web.archive.org, web archive, wayback machine, URL in archive (wd:P1065 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): URL to the archived web page specified with URL property, URL
9. online access status, also known as status of website, status of webpage, state of online access, publication access status, collection access status (wd:P6954 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): property or qualifier for an ID property indicating whether linked content is directly readable online, access restriction status, has characteristic
10. documentation files at, also known as clipping files at, documentary records at, documentary records held at, documentary records held by, documentation at (wd:P10527 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): institution that holds documentation files about the subject

[Tool] True

[Tool]
Got 571 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                         | object                                                                                |
| --------------------------- | -------------------------------- | ----------------------------------------------------------------------------------------------------------- |
| George Meredith (wd:Q90238) | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| George Meredith (wd:Q90238) | occupation (wdt:P106)            | writer (wd:Q36180)                                                                                |
| George Meredith (wd:Q90238) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                                |
| George Meredith (wd:Q90238) | given name (wdt:P735)            | George (wd:Q15921732)                                                                                |
| George Meredith (wd:Q90238) | date of birth (wdt:P569)         | 1828-02-12T00:00:00Z (xsd:dateTime)                                                                         |
| George Meredith (wd:Q90238) | Commons category (wdt:P373)      | George Meredith                                                                                |
| George Meredith (wd:Q90238) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/George%20Meredith%20by%20George%20Frederic%20Watts.jpg> |
| George Meredith (wd:Q90238) | country of citizenship (wdt:P27) | United Kingdom (wd:Q145)                                                                                |
| George Meredith (wd:Q90238) | family name (wdt:P734)           | Meredith (wd:Q16876834)                                                                                |
| George Meredith (wd:Q90238) | place of birth (wdt:P19)         | Portsmouth (wd:Q72259)                                                                                |
| ...                         | ...                              | ...                                                                                |

[Tool]
Got 902 rows and 3 columns, showing the first 10 rows below:
| subject                           | property               | object                                  |
| --------------------------------- | ---------------------- | --------------------------------------- |
| Charles Dickens (wd:Q5686)        | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| Oscar Wilde (wd:Q30875)           | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| Lord Byron (wd:Q5679)             | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| J. R. R. Tolkien (wd:Q892)        | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| Rudyard Kipling (wd:Q34743)       | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| Robert Louis Stevenson (wd:Q1512) | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| William Butler Yeats (wd:Q40213)  | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| Florence Nightingale (wd:Q37103)  | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| George Eliot (wd:Q131333)         | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| Joseph Conrad (wd:Q82925)         | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| ...                               | ...                    | ...                                     |

[Tool]
Got 902 rows and 3 columns, showing the first 10 rows below:
| subject                           | property               | object                                  |
| --------------------------------- | ---------------------- | --------------------------------------- |
| Charles Dickens (wd:Q5686)        | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| Oscar Wilde (wd:Q30875)           | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| Lord Byron (wd:Q5679)             | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| J. R. R. Tolkien (wd:Q892)        | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| Rudyard Kipling (wd:Q34743)       | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| Robert Louis Stevenson (wd:Q1512) | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| William Butler Yeats (wd:Q40213)  | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| Florence Nightingale (wd:Q37103)  | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| George Eliot (wd:Q131333)         | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| Joseph Conrad (wd:Q82925)         | archives at (wdt:P485) | Leeds University Library (wd:Q24568958) |
| ...                               | ...                    | ...                                     |

[Tool]
Got 1 row and 1 column:
| subject                     |
| --------------------------- |
| George Meredith (wd:Q90238) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The ASK query directly checks whether George Meredith's archives (wd:Q90238) are held at Leeds University Library (wd:Q24568958) using the appropriate property (wdt:P485). The answer, reasoning, and supporting SPARQL query are all accurate and follow the specified guidelines.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?coachID WHERE {
  wd:Q314185 wdt:P4718 ?coachID
}

Got 1 row and 1 column:
| coachID    |
| ---------- |
| mikange01c |

The Basketball-Reference.com NBA coach ID of George Mikan is mikange01c.

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

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

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

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

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

[User] Which is the Basketball-Reference.com NBA coach ID of George Mikan?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "George Mikan" in Wikidata.
2. We need to find the property corresponding to "Basketball-Reference.com NBA coach ID".
3. We will then write a SPARQL query to retrieve this property for George Mikan.

First, let's search for the entity "George Mikan" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. George Mikan, also known as George Lawrence Mikan (wd:Q314185): American basketball player, coach, commissioner, basketball player, basketball coach, lawyer
2. Larry Mikan, also known as George Lawrence Mikan III (wd:Q3827160): American basketball player, basketball player
3. George L. Mikan III (wd:Q19560559): American businessman
4. Mikan, George (1924-2005), basketball player (wd:Q103871333): encyclopedia article
5. Saint George, also known as Red Cross Knight, Saint Georgios, St George, St. George, Georgius (wd:Q48438): Christian saint and martyr (died 303), dragonslayer, thaumaturge, soldier
6. George, also known as George, Iowa, George, IA (wd:Q1922630): city in Iowa, United States
7. George, also known as George, Western Cape (wd:Q370456): town in the Western Cape, South Africa
8. George, also known as George, WA, George, Washington (wd:Q1519093): city in Washington, USA
9. N1K Kyōfū, also known as Kawanishi N1K Kyōfū, Kyōfū, Kawanishi Kyōfū, George aircraft, George (wd:Q843413): 1942 fighter aircraft family by Kawanishi
10. 3854 George, also known as George (wd:Q736941): asteroid

[Assistant]
The correct entity for George Mikan, the basketball player and coach, is wd:Q314185.

Next, let's search for the property "Basketball-Reference.com NBA coach ID" in Wikidata.

[Tool]
Top 10 property alternatives:
1. Basketball Reference NBA coach ID, also known as Basketball-Reference.com NBA coach ID (wd:P4718 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): identifier for a NBA coach on the Basketball Reference website
2. Sports-Reference.com college basketball coach ID, also known as Sports Reference college basketball coach ID, SR CBB coach ID, SRCBB coach ID (wd:P4751 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): identifier for a NCAA Division I college basketball coach on the Sports-Reference.com college basketball website
3. Eurobasket.com coach ID, also known as eurobasket.com coach identifier, eurobasket.com ID, eurobasket.com identifier, eurobasket ID (wd:P6865 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): identifier for a basketball coach at Eurobasket.com
4. Basketball Reference WNBA coach ID, also known as Basketball-Reference.com WNBA coach ID (wd:P4720 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): identifier for a WNBA coach on the Basketball Reference website
5. Basketball Reference NBA player ID, also known as Basketball-Reference.com NBA player ID, BRCNBA (wd:P2685 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): identifier for a NBA player on the Basketball Reference website
6. euroleague.net coach ID (wd:P6866 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): ID for a basketball coach at euroleague.net
7. RealGM basketball coach ID (wd:P7954 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): identifier for a basketball coach on the RealGM website
8. PlaymakerStats.com coach ID, also known as PlaymakerStats.com manager ID, TheFinalBall coach ID (wd:P6316 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): identifier for an association football (soccer) coach at PlaymakerStats.com (formerly TheFinalBall.com)
9. Basketball Reference referee ID, also known as Basketball-Reference.com referee ID (wd:P4795 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): identifier for a referee on the Basketball Reference website
10. Pro Football Reference coach ID, also known as Pro-Football-Reference.com coach identifier, Pro-Football-Reference.com coach ID, PFR coach ID, Pro Football Reference coach identifier (wd:P6836 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): identifier for American football coaches at Pro Football Reference

[Assistant]
The property "Basketball-Reference.com NBA coach ID" corresponds to wd:P4718.

Now, I will write a SPARQL query to retrieve the value of this property for George Mikan (wd:Q314185).

[Tool]
Got 1 row and 1 column:
| coachID    |
| ---------- |
| mikange01c |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and directly answers the question by retrieving the Basketball-Reference.com NBA coach ID for George Mikan using the appropriate property (wdt:P4718). The query returns the identifier as requested, and no unnecessary information is included. The answer is complete and accurate.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK {
  wd:Q23775242 wdt:P2797 88.0
}

No, the sound power level of Makita 5007FK is not equal to 88.0.

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

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

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

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

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

[User] Is the sound power level of Makita 5007FK equal to 88.0

[Assistant]
To answer this question, I need to:

1. Identify the entity for "Makita 5007FK" in Wikidata.
2. Find the property for "sound power level".
3. Check if the sound power level of Makita 5007FK is equal to 88.0.

Let's start by searching for the entity "Makita 5007FK".

[Tool]
Top 10 entity alternatives:
1. Makita 5007FK (wd:Q23775242): model of circular saw
2. Makita, also known as Makita Corporation (wd:Q691508): Japanese manufacturer of power tools
3. Makita (wd:Q3740537): village in Otepää Rural Municipality, Valga County, Estonia
4. Makita (wd:Q17176734): dissolved municipality in Suzuka district, Mie prefecture, Japan
5. Makita (wd:Q28041312): village in Cameroon
6. Makita, also known as Makita (family name), Makita (surname) (wd:Q68099377): family name
7. Makita (wd:Q131340100): Japanese family name (槙田)
8. Makita (wd:Q131340101): Japanese family name (槇田)
9. Makita (wd:Q27181310): Japanese family name (蒔田)
10. Makita (wd:Q40105725): Japanese family name (牧田)

[Assistant]
The entity for "Makita 5007FK" is wd:Q23775242, which is a model of circular saw.

Next, I need to find the property for "sound power level" in Wikidata.

[Tool]
Top 10 property alternatives:
1. sound power level (wd:P2797 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): level of sound power at a reference value of 1 pW
2. nominal power output, also known as nominal power capacity, power capacity, nominal power, power output, rated power (wd:P2109 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): power produced by the engine, plant, or reactor (use with unit of power), product, material, or service produced or provided, product or material produced
3. maximum frequency of audible sound (wd:P3465 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): maximum frequency of audible sound for this species
4. produced sound, also known as call, makes call, makes sound, sound, sound emitted (wd:P4733 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): item for the sound generated by the subject, for instance the cry of an animal
5. speed of sound, also known as sound speed (wd:P2075 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): speed of sound waves in a material. Use qualifiers to specify the measurement conditions.
6. minimum frequency of audible sound (wd:P3387 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): minimum frequency of audible sound for this species
7. audio system, also known as audio format (wd:P7501 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): audio system hardware used in the item
8. volume, also known as volume of serial, volume of a book, volume number, vol., tome (wd:P478 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): volume of a book or music release in a collection/series or a published collection of journal issues in a serial publication
9. power consumed, also known as power consumption, TDP, thermal design power (wd:P2791 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): electrical power consumed by an appliance
10. maximum size or capacity, also known as file size limit, maximum file size, maximum volume size, size limit, storage capacity (wd:P3559 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): maximum allowed/supported/usable (data) size

[Assistant]
The property for "sound power level" is wd:P2797.

Now, I will check if the sound power level (wd:P2797) of Makita 5007FK (wd:Q23775242) is equal to 88.0. Since the value is numeric, I will use an ASK query to check for equality.

[Tool] False

[Tool]
Got 2 rows and 1 column:
| value             |
| ----------------- |
| 98 (xsd:decimal)  |
| 110 (xsd:decimal) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The ASK query correctly checks if the sound power level of Makita 5007FK is 88.0, which matches the user's question. However, the answer also provides additional information about the actual sound power levels (98 and 110), which is not supported by the SPARQL query shown. If the answer includes such details, the SPARQL query should also retrieve the actual sound power levels for completeness and transparency. Consider adding a SELECT query to fetch the actual values, or remove the unsupported details from the answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query is an ASK query, as required for a True/False question, and it checks whether the sound power level (wdt:P2797) of the Makita 5007FK (wd:Q23775242) is equal to 88.0. The answer correctly reflects the result of the query. No further refinement is needed.


PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?train ( SAMPLE( ?label ) AS ?anyLabel ) WHERE {
  ?train wdt:P1064 ?gauge .
  FILTER ( ?gauge = wd:Q1999572 || ( ?gauge = 1435 ) ) OPTIONAL {
    ?train rdfs:label ?label .
  }
  OPTIONAL {
    ?train skos:altLabel ?altLabel .
  }
  FILTER ( ( BOUND( ?label ) && CONTAINS( LCASE( ?label ) , "v250" ) ) || ( BOUND( ?altLabel ) && CONTAINS( LCASE( ?altLabel ) , "v250" ) ) )
}
GROUP BY ?train

The high-speed train with a track gauge of 1435 mm and 'v250' in its name is the V250 (wd:Q568845).

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

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

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

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

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

[User] What high speed train has a track gauge of 1435 mm and has the word v250 in their name?

[Assistant]
Let's break down the question:

1. We are looking for a high-speed train.
2. The train should have a track gauge of 1435 mm.
3. The train's name should contain "v250".

Step 1: Find the entity for "v250" in Wikidata to see if there is a train with this in its name.

Step 2: Identify the property for "track gauge" and the value for 1435 mm.

Step 3: Identify the property for "high-speed train".

I'll start by searching for "v250" as an entity in Wikidata.

[Tool]
Top 10 entity alternatives:
1. V250 (wd:Q568845): high-speed train
2. V250 road, also known as V250 (wd:Q123999974): local road in Latvia
3. The Virgin Mary, also known as V250. (wd:Q126877030): narrative motif documented in Thompson's Motif-Index of Folk-Literature
4. IAE V2500, also known as International Aero Engines V2500, V2500 (wd:Q2599083): turbofan engine
5. IAE V2500-D5, also known as V2500-D5, V2500D5 (wd:Q15629440): turbofan aircraft engine, series of the V2500 for the MD-90 family
6. IAE V2500-A5, also known as V2500-A5, V2500A5 (wd:Q15629437): turbofan aircraft engine, series of the V2500 for the Airbus A320 family
7. IAE V2500-A1, also known as V2500-A1, V2500A1 (wd:Q15629393): turbofan aircraft engine, initial 25,000 lbf version of the V2500
8. irish saint as "Mary of the Gael", also known as V250.1. (wd:Q126877873): narrative motif documented in Thompson's Motif-Index of Folk-Literature
9. virgin Mary has golden hair, also known as V250.2. (wd:Q126877874): narrative motif documented in Thompson's Motif-Index of Folk-Literature
10. V2500/HyperPlex (wd:Q70899401)

[Assistant]
The most relevant entity is "V250" (wd:Q568845), which is a high-speed train.

Next, I need to confirm its track gauge and ensure it is 1435 mm. I will search for the property "track gauge" and the value for 1435 mm.

First, let's identify the property for "track gauge".

[Tool]
Top 10 property alternatives:
1. track gauge, also known as gauge (wd:P1064 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): spacing of the rails on a railway track
2. tracklist, also known as tracks, track listing, track list, songs, list of tracks (wd:P658 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): audio tracks contained in this release, has part(s)
3. number of platform tracks, also known as platform tracks, Tracks (wd:P1103 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): number of tracks served by the platforms at a railway station
4. axle track, also known as track, wheel track (wd:P8597 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): distance between the centerline of two roadwheels on the same axle
5. used metre, also known as meter used, metre used, scansion, used meter (wd:P2551 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): rhythmic structure of the poetic text or musical piece
6. original film format, also known as film format, film gauge, film size (wd:P3803 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): film format used to create a work (aliases: film gauge, film size)
7. number of parts of this work, also known as number of movements, number of parts of this work of art, number of pictures, number of scenes, number of segments of anthology film (wd:P2635 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): the number of parts that a work comprises
8. connecting line, also known as is on, railway line, rail line connected to, line connected to (wd:P81 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): railway line(s) subject is directly connected to, part of
9. 1001Tracklists track ID, also known as 1001TL track ID (wd:P11486 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): identifier for a music track on 1001Tracklists
10. route map, also known as schema, street map, railway map, subway map, transit map (wd:P15 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): image of route map at Wikimedia Commons, locator map image

[Assistant]
The property for "track gauge" is wdt:P1064.

Now, let's find the value/entity for 1435 mm track gauge, which is the standard gauge. I'll search for objects of property wdt:P1064 with the query "1435 mm".

[Tool]
Top 10 entity alternatives:
1. standard-gauge railway, also known as normal gauge, uniform gauge, UIC track gauge, Stephenson gauge, standard gauge (wd:Q1999572): rail track gauge – international standard gauge (1435 mm, 4 ft 8 1⁄2 in)

No other items found

No literal items found

[Assistant]
The value for 1435 mm track gauge is "standard-gauge railway" (wd:Q1999572).

Now, I will construct a SPARQL query to check if the V250 (wd:Q568845) high-speed train has a track gauge of standard gauge (wd:Q1999572), and return its identifier and optionally its label.

[Tool]
Got 15 rows and 2 columns, showing the first 5 and last 5 rows below:
| train             | trainLabel                  |
| ----------------- | --------------------------- |
| V250 (wd:Q568845) | AnsaldoBreda V250 (de)      |
| V250 (wd:Q568845) | AnsaldoBreda V250 (it)      |
| V250 (wd:Q568845) | V250 (en)                   |
| V250 (wd:Q568845) | V250 (fr)                   |
| V250 (wd:Q568845) | V250 (hu)                   |
| ...               | ...                         |
| V250 (wd:Q568845) | V250 (鉄道車両) (ja)            |
| V250 (wd:Q568845) | 安萨尔多百瑞达V250型电力动车组 (zh)      |
| V250 (wd:Q568845) | 安萨尔多百瑞达V250型电力动车组 (zh-cn)   |
| V250 (wd:Q568845) | 安萨尔多百瑞达V250型电力动车组 (zh-hans) |
| V250 (wd:Q568845) | 安薩爾多百瑞達V250型電力動車組 (zh-hant) |

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query is incorrect and does not follow the requirements. The query is attempting to filter on the string representation of the entity IRI (?train), which will not match the label or name containing 'v250'. Instead, it should retrieve trains with a track gauge of 1435 mm (standard gauge), and then filter for those whose label or alternative label contains 'v250'. Also, the query should return the actual IRIs of the items, and optionally their labels using rdfs:label. Please revise the query to:

1. Select trains (?train) with wdt:P1064 wd:Q1999572 (track gauge = standard gauge).
2. Filter for those whose rdfs:label or skos:altLabel contains 'v250' (case-insensitive).
3. Return the IRIs, and optionally the labels in an OPTIONAL clause.

[Assistant]
Thank you for the feedback. I understand that the previous query incorrectly filtered on the IRI string instead of the label or alternative label. I will now revise the query to:

1. Select trains (?train) with wdt:P1064 wd:Q1999572 (track gauge = standard gauge).
2. Filter for those whose rdfs:label or skos:altLabel contains 'v250' (case-insensitive).
3. Return the IRIs, and optionally the labels in an OPTIONAL clause.

Here is the revised query:

[Tool]
Got 1 row and 2 columns:
| train             | anyLabel               |
| ----------------- | ---------------------- |
| V250 (wd:Q568845) | AnsaldoBreda V250 (de) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query correctly finds high-speed trains with a track gauge of standard gauge (1435 mm) and 'v250' in their name. However, it only checks for the presence of 'v250' in the rdfs:label or skos:altLabel, which is good, but it does not explicitly restrict the track gauge to exactly 1435 mm. It relies on the entity wd:Q1999572 (standard gauge), which is correct for 1435 mm, but it would be more robust to also allow for the direct numeric value (1435) in case some trains use the numeric value instead of the standard gauge entity. Consider refining the query to also check for wdt:P1064 1435, or at least confirm that all relevant items use wd:Q1999572. Otherwise, the answer and logic are correct.

[Assistant]
Thank you for the suggestion. To make the query more robust, I will refine it to include both cases:

- Trains with wdt:P1064 wd:Q1999572 (standard gauge, 1435 mm)
- Trains with wdt:P1064 1435 (direct numeric value in millimeters)

This ensures that we capture all relevant trains, regardless of whether the track gauge is specified as the standard gauge entity or as the numeric value.

Here is the improved query:

[Tool]
Got 1 row and 2 columns:
| train             | anyLabel               |
| ----------------- | ---------------------- |
| V250 (wd:Q568845) | AnsaldoBreda V250 (de) |

[Tool] Stopped generation process


PREFIX p: <http://www.wikidata.org/prop/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?director ?directorLabel ?relative ?relativeLabel ?kinship WHERE {
  wd:Q7730630 wdt:P57 ?director .
  OPTIONAL {
    ?director p:P1038 ?relStatement .
    ?relStatement ps:P1038 ?relative .
    OPTIONAL {
      ?relStatement pq:P1039 ?kinship .
    }
    OPTIONAL {
      ?relative rdfs:label ?relativeLabel FILTER ( lang( ?relativeLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?director rdfs:label ?directorLabel FILTER ( lang( ?directorLabel ) = "en" )
  }
}

The only close family relation for Norman Abbott (the director of The Don Knotts Show) in Wikidata is Bud Abbott, who is listed as his uncle, not his grandfather. There is no information about Norman Abbott's grandfather in Wikidata.

Therefore, based on the available data, the grandfather of the film director of The Don Knotts Show is not specified in Wikidata. The closest notable relative is Bud Abbott, his uncle.

Here is the SPARQL query that traces the steps and shows the available family relation:

```sparql
SELECT ?director ?directorLabel ?relative ?relativeLabel ?kinship
WHERE {
  wd:Q7730630 wdt:P57 ?director .
  OPTIONAL {
    ?director p:P1038 ?relStatement .
    ?relStatement ps:P1038 ?relative .
    OPTIONAL { ?relStatement pq:P1039 ?kinship. }
    OPTIONAL { ?relative rdfs:label ?relativeLabel FILTER (lang(?relativeLabel) = "en") }
  }
  OPTIONAL { ?director rdfs:label ?directorLabel FILTER (lang(?directorLabel) = "en") }
}
```

Answer: The grandfather of the film director of The Don Knotts Show is not specified in Wikidata. The only notable family relation listed is Bud Abbott, who is the director's uncle.

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

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

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

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

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

[User] Who is the grandfather of the film director of The Don Knotts Show?

[Assistant]
Let's break down the question:

1. Identify "The Don Knotts Show" as an entity.
2. Find the film director of "The Don Knotts Show".
3. Find the grandfather of that film director.

I'll start by searching for "The Don Knotts Show" in Wikidata to get its entity.

[Tool]
Top 10 entity alternatives:
1. The Don Knotts Show (wd:Q7730630): variety TV series
2. The Donkey Show (wd:Q7730645): musical
3. The Don Ho Show (wd:Q39047250): television series
4. The Don Rickles Show (wd:Q39053887): television series
5. The Don Lane Show (wd:Q16954471): television series
6. The Donkey Show (wd:Q7730646): US musical group
7. The Donkey Show (wd:Q109661415): painting by Jacques-Émile Blanche
8. The Donna Reed Show (wd:Q63677): American situation comedy
9. The Phil Donahue Show (wd:Q7756883): American TV talk show, presented between 1967 and 1996 by Phil Donahue.
10. The Donald O'Connor Show, also known as Here Comes Donald (wd:Q7730634): American television series

[Assistant]
The correct entity for "The Don Knotts Show" is wd:Q7730630, which is a variety TV series.

Next, I need to find the film director of "The Don Knotts Show". Since it's a TV series, the relevant property might be "director" or "film director". I'll search for properties related to "director" for this entity.

[Tool]
Top 10 property alternatives:
1. director, also known as film director, movie director, game director, directed by (wd:P57 as p/wdt): director(s) of film, TV-series, stageplay, video game or similar, contributor to the creative work or subject, creator
2. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
3. Kinobox film ID, also known as www.kinobox.cz/film/, kinobox.cz/film/, https://www.kinobox.cz/film/ (wd:P12096 as p/wdt): identifier for a film on the Kinobox.cz website
4. IMDb ID, also known as IMDb identifier, Internet Movie Database identifier (wd:P345 as p/wdt): identifier for the IMDb (with prefix 'tt', 'nm', 'co', 'ev', 'ch' or 'ni')
5. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
6. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as p/wdt): network(s) or service(s) that originally broadcast a radio or television program, broadcast by
7. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
8. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
9. Television Academy Foundation show ID, also known as The Interviews title ID (wd:P5829 as p/wdt): identifier for a television show discussed on the Television Academy Foundation's The Interviews website
10. original language of film or TV show, also known as media language, original language, language of the original work, created on language (wd:P364 as p/wdt): language in which a film or a performance work was originally cr... works and songs; use P407 ("language of work or name") instead., language of work or name

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                           | property           | object                      |
| --------------------------------- | ------------------ | --------------------------- |
| The Don Knotts Show (wd:Q7730630) | director (wdt:P57) | Norman Abbott (wd:Q1575625) |

[Tool]
Got 183 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                        | object                              |
| --------------------------- | ----------------------------------------------- | ----------------------------------- |
| Norman Abbott (wd:Q1575625) | instance of (wdt:P31)                           | human (wd:Q5)                       |
| Norman Abbott (wd:Q1575625) | occupation (wdt:P106)                           | actor (wd:Q33999)                   |
| Norman Abbott (wd:Q1575625) | sex or gender (wdt:P21)                         | male (wd:Q6581097)                  |
| Norman Abbott (wd:Q1575625) | given name (wdt:P735)                           | Norman (wd:Q1218555)                |
| Norman Abbott (wd:Q1575625) | date of birth (wdt:P569)                        | 1922-07-11T00:00:00Z (xsd:dateTime) |
| Norman Abbott (wd:Q1575625) | country of citizenship (wdt:P27)                | United States (wd:Q30)              |
| Norman Abbott (wd:Q1575625) | family name (wdt:P734)                          | Abbott (wd:Q306749)                 |
| Norman Abbott (wd:Q1575625) | place of birth (wdt:P19)                        | New York City (wd:Q60)              |
| Norman Abbott (wd:Q1575625) | date of death (wdt:P570)                        | 2016-07-09T00:00:00Z (xsd:dateTime) |
| Norman Abbott (wd:Q1575625) | languages spoken, written or signed (wdt:P1412) | English (wd:Q1860)                  |
| ...                         | ...                                             | ...                                 |

[Tool]
Top 10 property alternatives:
1. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as p/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
2. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as p/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
3. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
4. family name, also known as clan name, last name, surname (wd:P734 as p/wdt): part of full name of person, name
5. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
6. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
8. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
9. Find a Grave memorial ID, also known as FaG ID, FaGID, Find A Grave grave ID, Findagrave ID, Find A Grave memorial ID (wd:P535 as p/wdt): identifier of an individual's burial place in the Find a Grave database
10. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                     | property             | object                 |
| --------------------------- | -------------------- | ---------------------- |
| Norman Abbott (wd:Q1575625) | relative (wdt:P1038) | Bud Abbott (wd:Q23888) |

[Tool]
Got 1 row and 3 columns:
| subject                     | property           | object                                          |
| --------------------------- | ------------------ | ----------------------------------------------- |
| Norman Abbott (wd:Q1575625) | relative (p:P1038) | s:Q1575625-284a410e-44d1-8f34-d452-49db8fbc73a3 |

[Tool]
Got 6 rows and 3 columns:
| subject                                         | property                      | object                                       |
| ----------------------------------------------- | ----------------------------- | -------------------------------------------- |
| s:Q1575625-284a410e-44d1-8f34-d452-49db8fbc73a3 | relative (ps:P1038)           | Bud Abbott (wd:Q23888)                       |
| s:Q1575625-284a410e-44d1-8f34-d452-49db8fbc73a3 | kinship to subject (pq:P1039) | uncle (wd:Q76557)                            |
| s:Q1575625-284a410e-44d1-8f34-d452-49db8fbc73a3 | wikibase:rank                 | wikibase:NormalRank                          |
| s:Q1575625-284a410e-44d1-8f34-d452-49db8fbc73a3 | rdf:type                      | wikibase:BestRank                            |
| s:Q1575625-284a410e-44d1-8f34-d452-49db8fbc73a3 | prov:wasDerivedFrom           | ref:268e927557728e49353f69d541a8fc1fc45f58a5 |
| s:Q1575625-284a410e-44d1-8f34-d452-49db8fbc73a3 | rdf:type                      | wikibase:Statement                           |

[Assistant]
The only close family relation for Norman Abbott (the director of The Don Knotts Show) in Wikidata is Bud Abbott, who is listed as his uncle, not his grandfather. There is no information about Norman Abbott's grandfather in Wikidata.

Therefore, based on the available data, the grandfather of the film director of The Don Knotts Show is not specified in Wikidata. The closest notable relative is Bud Abbott, his uncle.

Here is the SPARQL query that traces the steps and shows the available family relation:

```sparql
SELECT ?director ?directorLabel ?relative ?relativeLabel ?kinship
WHERE {
  wd:Q7730630 wdt:P57 ?director .
  OPTIONAL {
    ?director p:P1038 ?relStatement .
    ?relStatement ps:P1038 ?relative .
    OPTIONAL { ?relStatement pq:P1039 ?kinship. }
    OPTIONAL { ?relative rdfs:label ?relativeLabel FILTER (lang(?relativeLabel) = "en") }
  }
  OPTIONAL { ?director rdfs:label ?directorLabel FILTER (lang(?directorLabel) = "en") }
}
```

Answer: The grandfather of the film director of The Don Knotts Show is not specified in Wikidata. The only notable family relation listed is Bud Abbott, who is the director's uncle.

[User]
Feedback (status=done):
The answer is correct and complete given the available data in Wikidata. The SPARQL query correctly identifies the director of The Don Knotts Show and attempts to retrieve family relations, including kinship types. The result shows only an uncle (Bud Abbott) and no grandfather is specified. The answer accurately reflects the limitations of the data and does not make unsupported claims. The query also follows the guidelines for returning IRIs and uses optional clauses for labels. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?song ?label WHERE {
  ?song wdt:P31 wd:Q7366 .
  ?song rdfs:label ?label .
  FILTER ( CONTAINS( LCASE( ?label ) , "world" ) ) FILTER ( LANG( ?label ) = "en" )
}
LIMIT 20

Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| song                                                            | label                                                |
| --------------------------------------------------------------- | ---------------------------------------------------- |
| The World Needs a Melody (wd:Q109214827)                        | The World Needs a Melody (en)                        |
| Rule the World (wd:Q109466898)                                  | Rule the World (en)                                  |
| The World's First Ever Monster Truck Front Flip (wd:Q110485943) | The World's First Ever Monster Truck Front Flip (en) |
| Dandy in the Underworld (wd:Q111169071)                         | Dandy in the Underworld (en)                         |
| 2 Worlds Collide (wd:Q111724622)                                | 2 Worlds Collide (en)                                |
| ...                                                             | ...                                                  |
| We Con the World (wd:Q13424628)                                 | We Con the World (en)                                |
| (The World is Full of) Married Men (wd:Q1483962)                | (The World is Full of) Married Men (en)              |
| The World Is In My Hands (wd:Q16035385)                         | The World Is In My Hands (en)                        |
| Whole World Is Watching (wd:Q16614691)                          | Whole World Is Watching (en)                         |
| Break the World (wd:Q16966856)                                  | Break the World (en)                                 |

Here are some songs that contain the word 'world' in their name:
- The World Needs a Melody
- Rule the World
- The World's First Ever Monster Truck Front Flip
- Dandy in the Underworld
- 2 Worlds Collide
- We Con the World
- (The World is Full of) Married Men
- The World Is In My Hands
- Whole World Is Watching
- Break the World

These are just a few examples; there are more songs with 'world' in their title.

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

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

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

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

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

[User] Which song that contains the word world in their name

[Assistant]
Let's break down the question:

1. We are looking for songs (musical works) whose titles contain the word "world".
2. We need to identify the entity for "song" or "musical work" in Wikidata.
3. Then, we need to filter for items whose label (title) contains the word "world".

First, let's search for the entity representing "song" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. song, also known as vocal pieces, vocal piece, songs, pieces of vocal music, piece of vocal music (wd:Q7366): musical composition for voice(s)
2. Song of Songs, also known as Canticles, Song of Solomon, Song (wd:Q51670): book of the Bible
3. Song dynasty, also known as Song, Sung Dynasty, Sung, Song Dynasty, Song Empire (wd:Q7462): former imperial dynasty of China
4. Song (wd:Q1065073): one of the twelve feudal states of Western Zhou dynasty
5. Song (wd:Q120230): district in Phrae province, Thailand
6. Song (wd:Q667992): defunct low-cost airline
7. Song, also known as Sòng, Soong, Sung, 宋 (wd:Q717770): Chinese family name (宋)
8. Ming, also known as Mingti, Song, Songti, Sun (wd:Q1071487): family of CJK typefaces
9. Song (wd:Q7560957): LGA and town in Adamawa State, Nigeria
10. Xue Song, also known as Song (wd:Q1018013): Tang Dynasty non imperial prince, politician

[Assistant]
The entity for "song" as a musical composition for voice(s) is wd:Q7366.

Next, we need to find songs (wd:Q7366) whose title contains the word "world". In Wikidata, the label (rdfs:label) or the property "title" (P1476) can be used for this.

I'll check which property is commonly used for the title of a song.

[Tool]
Top 10 property alternatives:
1. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
2. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
3. topic's main template, also known as topic has template, topic's main module, topic's main infobox, topic infobox, main template (wd:P1424 as p/wdt): the main template relating to a topic
4. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
5. topic's main Wikimedia portal, also known as main portal, portal (wd:P1151 as p/wdt): Wikimedia portal associated with this topic
6. model item, also known as specimen, sample, featured item, example item, best example (wd:P5869 as p/wdt): defines which item is a best practice example of modelling a sub...lue of this property, usage instructions at Wikidata:Model items
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. instrumentation, also known as scoring, scored for, orchestration, instruments employed, orchestrated for (wd:P870 as p/wdt): combination of musical instruments employed in a composition or accompanying a (folk) dance
9. properties for this type, also known as uses properties, Wikidata properties for this type, Wikidata properties for this class, uses property, things one could say about (wd:P1963 as p/wdt): when this subject is used as object of “instance of”, the following properties normally apply
10. said to be the same as, also known as may be, the same as, synonymous with, same as, same (wd:P460 as p/wdt): this item is said to be the same as that item, though this may be uncertain or disputed

No other items found

[Assistant]
It seems the direct property for "title" (such as P1476) did not show up in the top results, but from Wikidata documentation, P1476 ("title") is commonly used for works, including songs.

To be thorough, let's confirm that P1476 is used for songs by listing some triples with wd:Q7366 as the subject and P1476 as the property.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that the property P1476 ("title") is not directly used on the class entity for "song" (wd:Q7366), which is expected, as it would be used on instances of songs, not the class itself.

Therefore, to find songs whose title contains "world", I will:
- Select items that are instances of "song" (wd:Q7366) using "instance of" (P31).
- Filter those whose label (rdfs:label) or title (P1476) contains the word "world".

I'll write a SPARQL query that does this, using both rdfs:label and P1476 for completeness.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
The previous query timed out, likely due to the large number of songs in Wikidata. To improve performance, I'll simplify the query by focusing only on the rdfs:label (which is the most common way song titles are stored) and limit the results further.

I'll also add a LIMIT to ensure the query completes quickly.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| song                                                            | label                                                |
| --------------------------------------------------------------- | ---------------------------------------------------- |
| The World Needs a Melody (wd:Q109214827)                        | The World Needs a Melody (en)                        |
| Rule the World (wd:Q109466898)                                  | Rule the World (en)                                  |
| The World's First Ever Monster Truck Front Flip (wd:Q110485943) | The World's First Ever Monster Truck Front Flip (en) |
| Dandy in the Underworld (wd:Q111169071)                         | Dandy in the Underworld (en)                         |
| 2 Worlds Collide (wd:Q111724622)                                | 2 Worlds Collide (en)                                |
| ...                                                             | ...                                                  |
| We Con the World (wd:Q13424628)                                 | We Con the World (en)                                |
| (The World is Full of) Married Men (wd:Q1483962)                | (The World is Full of) Married Men (en)              |
| The World Is In My Hands (wd:Q16035385)                         | The World Is In My Hands (en)                        |
| Whole World Is Watching (wd:Q16614691)                          | Whole World Is Watching (en)                         |
| Break the World (wd:Q16966856)                                  | Break the World (en)                                 |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and follows all the required rules. It retrieves songs (instances of wd:Q7366) whose English label contains the word 'world', returning the IRIs and labels as required. The answer is accurate and representative, and the query is efficient and clear. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK {
  wd:Q134859 wdt:P3487 ?maxIncubation .
  FILTER ( ?maxIncubation > 25.2 )
}

False. The maximal incubation period in humans for pertussis is 21, which is not greater than 25.2.

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

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

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

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

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

[User] Is it true that the maximal incubation period in humans of the pertussis is greater than 25.2?

[Assistant]
Let's break down the question:

- We are asked about the maximal incubation period in humans for "pertussis" (whooping cough).
- We need to check if this maximal incubation period is greater than 25.2 (presumably days).

Step 1: Identify the entity for "pertussis" in Wikidata.
Step 2: Identify the property for "incubation period" in Wikidata.
Step 3: Check if there is a maximal value for the incubation period for pertussis in humans, and compare it to 25.2.

Let's start by searching for the entity "pertussis".

[Tool]
Top 10 entity alternatives:
1. pertussis, also known as Whooping cough, Pertussis, whooping cough, WC - Whooping cough, obsolete Bordetella pertussis whooping cough, Bordetella pertussis whooping cough (wd:Q134859): human disease caused by the bacteria Bordetella pertussis
2. [Pertussis] (wd:Q67787132): scientific article published on 01 January 1976
3. [Pertussis] (wd:Q68524071): scientific article published on 01 August 1987
4. [Pertussis] (wd:Q69891716): scientific article published on 01 September 1986
5. [Pertussis] (wd:Q70177973): scientific article published on 01 January 1991
6. [Pertussis] (wd:Q72163975): scientific article published on 01 December 1994
7. [Pertussis] (wd:Q73256625): scientific article published on 01 June 1953
8. [Pertussis] (wd:Q73333174): scientific article published on 01 February 2003
9. PERTUSSIS (wd:Q95480679): scientific article published in September 2015
10. Pertussis. (wd:Q34272131): scientific article

[Assistant]
The main entity for the disease "pertussis" (whooping cough) is wd:Q134859.

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

[Tool]
Top 10 property alternatives:
1. egg incubation period (wd:P7770 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): amount of time needed for incubation of eggs for this animal taxon (birds, fish, reptiles, monotremes)
2. minimal incubation period in humans (wd:P3488 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): minimal time between an infection and the onset of disease symptoms in infected humans
3. maximal incubation period in humans (wd:P3487 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): maximal time between an infection and the onset of disease symptoms in infected humans
4. gestation period (wd:P3063 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): amount of time needed for gestation for this animal taxon, duration
5. open period from, also known as start of opening season, start opening season, opening season, opening month, opening day of the year (wd:P3027 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): qualifier to P3025 (open days) for season when open days apply
6. valid in period, also known as valid in season, valid for season, valid for period, valid for, time period (wd:P1264 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): time period when a statement is valid
7. start period, also known as since period (wd:P3415 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): initial period in which the statement is valid (including the period-value)
8. period of lactation, also known as lactation, lactation period, weaning (wd:P7862 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): the period during which the animal is fed milk
9. open period to, also known as end of opening season, end opening season, open until (wd:P3028 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): qualifier to P3025 (open days) for season when open days apply
10. Wikimedia Incubator URL, also known as Incubator URL, Wikimedia Incubator, Wikimedia project incubator URL (wd:P9748 as prv/p/pqn/psn/wdtn/wdt/pqv/pq/prn/pr/ps/psv): active Wikimedia Incubator project in the language, URL

[Assistant]
The relevant property for "maximal incubation period in humans" is wd:P3487.

Now, I will check if there is a value for the maximal incubation period in humans (wd:P3487) for pertussis (wd:Q134859), and compare it to 25.2. Since the question is a "True/False" type, I will construct an ASK query to check if the maximal incubation period is greater than 25.2.

First, I will check how the value is stored (units, datatype) for this property on this entity.

[Tool]
Got 1 row and 3 columns:
| subject                | property                                        | object           |
| ---------------------- | ----------------------------------------------- | ---------------- |
| pertussis (wd:Q134859) | maximal incubation period in humans (wdt:P3487) | 21 (xsd:decimal) |

[Assistant]
The maximal incubation period in humans for pertussis (wd:Q134859) is 21 (likely days), which is less than 25.2.

Therefore, the answer to the question "Is it true that the maximal incubation period in humans of the pertussis is greater than 25.2?" is False.

I will now provide the final ASK query that checks if there exists a maximal incubation period in humans for pertussis greater than 25.2.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct for the user's true/false question. It uses an ASK query to check if the maximal incubation period in humans for pertussis (wd:Q134859) is greater than 25.2, using the correct property (wdt:P3487). The answer is consistent with the data. The query returns the IRI (implicitly, since it's an ASK), and no additional computation is performed outside SPARQL. No further refinement is needed.