PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
ASK WHERE {
  wd:Q169452 p:P54 ?statement1 .
  ?statement1 ps:P54 wd:Q121783 ; pq:P580 ?start1 ; pq:P582 ?end1 .
  wd:Q25369 p:P54 ?statement2 .
  ?statement2 ps:P54 wd:Q121783 ; pq:P580 ?start2 ; pq:P582 ?end2 .
  FILTER ( "2000-01-01" ^^ xsd:dateTime >= ?start1 && "2000-01-01" ^^ xsd:dateTime <= ?end1 ) .
  FILTER ( "2000-01-01" ^^ xsd:dateTime >= ?start2 && "2000-01-01" ^^ xsd:dateTime <= ?end2 ) .
}

Yes, Shaquille O'Neal was a teammate of Kobe Bryant in the year 2000 as they both played for the Los Angeles Lakers during that time.

[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] Was Shaquille O'Neal the teammate of Kobe Bryant in the year of 2000?

[Assistant] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
What is the revenue of IBM?

SPARQL:
SELECT ?o1 WHERE {
  wd:Q37156 wdt:P2139 ?o1 .
}

Using entities:
IBM, also known as 18M, International Business Machines Corporation (Armonk, NY), International Business Machines Corporation, IBM Corporation, IBM Corp. (wd:Q37156): American multinational technology corporation

Using properties:
total revenue, also known as turnover, sales, revenue, income, gross revenue (wd:P2139 as wdt): income gained by an organization during a given time frame. Not to be confused with fiscal revenue

Example 2:
Question:
Which holidays are celebrated around the world?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?type wdt:P279 * wd:Q1445650 .
  ?uri wdt:P31 ?type .
}

Using entities:
holiday, also known as observances, Praznik, popular festival, observance, holidays (wd:Q1445650): festive day set aside by custom or by law

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
Give me all Australian nonprofit organizations.

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 wd:Q163740 .
  {
    ?uri wdt:P159 | wdt:P17 wd:Q408 .
  } UNION {
    ?uri wdt:P159 | wdt:P17 ?city .
    ?city wdt:P159 wd:Q408
  }
}

Using entities:
nonprofit organization, also known as Organizations, Nonprofit, np organization, NPO, NPI, not-for-profit organization (wd:Q163740): organization operated for a collective benefit
Australia, also known as AU, The Commonwealth of Australia, Stria, Straya, Stralia (wd:Q408): country in Oceania

Using properties:
headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant]
To answer the question if Shaquille O'Neal was a teammate of Kobe Bryant in the year 2000, I need to check if both players were part of the same basketball team during that year.

Step 1: Identify the Wikidata entities for Shaquille O'Neal and Kobe Bryant.
Step 2: Identify the basketball teams they played for in the year 2000.
Step 3: Check if there is an overlap in the teams for that year.

I will start by searching for the entities of Shaquille O'Neal and Kobe Bryant.

[Tool]
Top 10 entity alternatives:
1. Shaquille O'Neal, also known as Shaquille O’Neal, Shaquille Rashaun O'Neal, Shaq O'Neal, Shaquille Rashaun O’Neal, Shaq (wd:Q169452): American basketball player, real estate entrepreneur, television producer, sports commentator, basketball player, businessperson, film producer, screenwriter, film actor, Thai boxer, podcaster, singer, rapper, actor
2. Shaquille O'Neal (wd:Q125446160): episode of All That (S5 E3)
3. Shaquille Cleare, also known as Shaquille O'Neal Cleare (wd:Q61953486): college basketball player (2013–2017) Maryland; Texas, basketball player
4. Shaquille O'Neal Motors (wd:Q114535400): episode of Fresh Off the Boat (S2 E3)
5. Shaq Belson, also known as Shaquille Belson, Shaquille O'Neal Belson (wd:Q106725566): American American football player, American football player
6. Shaquille Allen, also known as Shaquille O'Neal Allen (wd:Q106725550): American football player
7. Upload with Shaquille O'Neal (wd:Q7898386): American comedy television series
8. Statue of Shaquille O'Neal (wd:Q114363921): sculpture in Los Angeles, California, U.S
9. The Best of Shaquille O'Neal (wd:Q7717219): album by Shaquille O'Neal
10. A Message from Shaquille O'Neal (wd:Q110058550): sketch from Saturday Night Live

[Tool]
Top 10 entity alternatives:
1. Kobe Bryant, also known as Kobe Bean Bryant, Kobe B. Bryant, Kobe, KB24, Black Mamba (wd:Q25369): American basketball player (1978–2020), professional athlete, basketball player, screenwriter
2. Kobe Bryant Day (wd:Q98969272): proposed Federal Holiday
3. death of Kobe Bryant, also known as Kobe Bryant death, Kobe Bryant's death (wd:Q83737550): 26 January 2020 death of Kobe Bryant in helicopter crash
4. Kobe Bryant Boulevard (wd:Q107299206): proposed street renaming in Los Angeles
5. NBA All-Star Game Kobe Bryant Most Valuable Player Award, also known as Kobe Bryant Most Valuable Player Award, Kobe Bryant MVP Award, NBA All-Star Game Kobe Bryant MVP Award (wd:Q31391): basketball award of the National Basketball Association (NBA)
6. Kobe Bryant China Fund (wd:Q6424297): for education, sports, and culture programs for children from China and the United States
7. Statue of Kobe Bryant (wd:Q125101336): sculpture in Los Angeles, California, U.S
8. Kobe Bryant/Ice Cube (wd:Q125446155): episode of All That (S4 E19)
9. Kobe Bryant sexual assault case (wd:Q6424298): legal case
10. Kobe Bryant in NBA Courtside (wd:Q3198120): 1998 video game

[Assistant] I have identified the Wikidata entities for Shaquille O'Neal (wd:Q169452) and Kobe Bryant (wd:Q25369). Next, I will check the basketball teams they played for in the year 2000 to see if they were teammates. I will start by checking the teams Shaquille O'Neal played for in the year 2000.

[Tool]
Top 10 property alternatives:
1. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as wdt/p): sports teams or clubs that the subject represents or represented, member of
2. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as wdt/p): position or specialism of a player on a team
3. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt/p): educational institution attended by subject, affiliation
4. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt/p): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
5. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): 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
6. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/p): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
7. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
8. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)

No other items found

[Tool]
Got 7 rows and 3 columns:
| subject                       | property                        | object                                    |
| ----------------------------- | ------------------------------- | ----------------------------------------- |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Los Angeles Lakers (wd:Q121783)           |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Boston Celtics (wd:Q131371)               |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Cleveland Cavaliers (wd:Q162990)          |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Phoenix Suns (wd:Q164177)                 |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Orlando Magic (wd:Q161337)                |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | Miami Heat (wd:Q169138)                   |
| Shaquille O'Neal (wd:Q169452) | member of sports team (wdt:P54) | LSU Tigers men's basketball (wd:Q6460027) |

[Tool]
Got 1 row and 3 columns:
| subject                 | property                        | object                          |
| ----------------------- | ------------------------------- | ------------------------------- |
| Kobe Bryant (wd:Q25369) | member of sports team (wdt:P54) | Los Angeles Lakers (wd:Q121783) |

[Assistant] Both Shaquille O'Neal and Kobe Bryant were members of the Los Angeles Lakers. Now I need to verify if they were teammates specifically in the year 2000. I will check the time period during which Shaquille O'Neal was a member of the Los Angeles Lakers.

[Tool]
Got 8 rows and 3 columns:
| subject                       | property                      | object                                         |
| ----------------------------- | ----------------------------- | ---------------------------------------------- |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-AE193DB1-A4AE-4EC3-A60F-71B444175D6E |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-B7BBF0D3-8869-4B4D-A8AE-CE3897D64DE4 |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-E360FFD4-E8B9-4FB6-9431-DA18B213EC89 |
| Shaquille O'Neal (wd:Q169452) | member of sports team (p:P54) | s:Q169452-EA1E2C60-351C-435B-98E5-79638881216B |

[Tool]
Got 10 rows and 3 columns:
| subject                                        | property                                       | object                                    |
| ---------------------------------------------- | ---------------------------------------------- | ----------------------------------------- |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | member of sports team (ps:P54)                 | LSU Tigers men's basketball (wd:Q6460027) |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | start time (pq:P580)                           | 1989-01-01T00:00:00Z (xsd:dateTime)       |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | end time (pq:P582)                             | 1992-01-01T00:00:00Z (xsd:dateTime)       |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | position played on team / speciality (pq:P413) | center (wd:Q222052)                       |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | sport number (pq:P1618)                        | 33                                        |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | wikibase:rank                                  | wikibase:NormalRank                       |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | rdf:type                                       | wikibase:BestRank                         |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | start time (pqv:P580)                          | v:9930877c43e09a3dd26a2b4a0d5aa9c8        |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | end time (pqv:P582)                            | v:db46b10f4b1283c7fb7d0caafac6e7c8        |
| s:Q169452-25A82FE8-25A0-4512-875F-34340B78B884 | rdf:type                                       | wikibase:Statement                        |

[Tool]
Got 10 rows and 3 columns:
| subject                                        | property                                       | object                              |
| ---------------------------------------------- | ---------------------------------------------- | ----------------------------------- |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | member of sports team (ps:P54)                 | Boston Celtics (wd:Q131371)         |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | start time (pq:P580)                           | 2010-01-01T00:00:00Z (xsd:dateTime) |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | end time (pq:P582)                             | 2011-01-01T00:00:00Z (xsd:dateTime) |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | position played on team / speciality (pq:P413) | center (wd:Q222052)                 |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | sport number (pq:P1618)                        | 36                                  |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | wikibase:rank                                  | wikibase:NormalRank                 |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | rdf:type                                       | wikibase:BestRank                   |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | start time (pqv:P580)                          | v:4f272fae38ee73a331afd0407cdc74b9  |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | end time (pqv:P582)                            | v:19fb1e607fb895edac44d92bd9141272  |
| s:Q169452-40ADD0A6-2581-4072-811A-4DD27A0ACBED | rdf:type                                       | wikibase:Statement                  |

[Tool]
Got 10 rows and 3 columns:
| subject                                        | property                                       | object                              |
| ---------------------------------------------- | ---------------------------------------------- | ----------------------------------- |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | member of sports team (ps:P54)                 | Cleveland Cavaliers (wd:Q162990)    |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | start time (pq:P580)                           | 2009-01-01T00:00:00Z (xsd:dateTime) |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | end time (pq:P582)                             | 2010-01-01T00:00:00Z (xsd:dateTime) |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | position played on team / speciality (pq:P413) | center (wd:Q222052)                 |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | sport number (pq:P1618)                        | 33                                  |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | wikibase:rank                                  | wikibase:NormalRank                 |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | rdf:type                                       | wikibase:BestRank                   |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | start time (pqv:P580)                          | v:fc1d2395f6a4679c97b3b7f23f202c19  |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | end time (pqv:P582)                            | v:4f272fae38ee73a331afd0407cdc74b9  |
| s:Q169452-563DC571-9DA6-415D-8AA7-F28E3B513E74 | rdf:type                                       | wikibase:Statement                  |

[Tool]
Got 10 rows and 3 columns:
| subject                                        | property                                       | object                              |
| ---------------------------------------------- | ---------------------------------------------- | ----------------------------------- |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | member of sports team (ps:P54)                 | Los Angeles Lakers (wd:Q121783)     |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | start time (pq:P580)                           | 1996-01-01T00:00:00Z (xsd:dateTime) |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | end time (pq:P582)                             | 2004-07-14T00:00:00Z (xsd:dateTime) |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | position played on team / speciality (pq:P413) | center (wd:Q222052)                 |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | sport number (pq:P1618)                        | 34                                  |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | wikibase:rank                                  | wikibase:NormalRank                 |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | rdf:type                                       | wikibase:BestRank                   |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | start time (pqv:P580)                          | v:d49b98a030ea836c922381a07d3a55a5  |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | end time (pqv:P582)                            | v:b5ff01e96ebedaa0a614a99ae12e187f  |
| s:Q169452-7192ADCF-41B1-4F5B-BE32-6060EA86A39A | rdf:type                                       | wikibase:Statement                  |

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 3 columns:
| subject                 | property                      | object                                        |
| ----------------------- | ----------------------------- | --------------------------------------------- |
| Kobe Bryant (wd:Q25369) | member of sports team (p:P54) | s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB |

[Tool]
Got 10 rows and 3 columns:
| subject                                       | property                                       | object                              |
| --------------------------------------------- | ---------------------------------------------- | ----------------------------------- |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | member of sports team (ps:P54)                 | Los Angeles Lakers (wd:Q121783)     |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | start time (pq:P580)                           | 1996-01-01T00:00:00Z (xsd:dateTime) |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | end time (pq:P582)                             | 2016-01-01T00:00:00Z (xsd:dateTime) |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | position played on team / speciality (pq:P413) | shooting guard (wd:Q273199)         |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | sport number (pq:P1618)                        | 24                                  |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | wikibase:rank                                  | wikibase:NormalRank                 |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | rdf:type                                       | wikibase:BestRank                   |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | start time (pqv:P580)                          | v:d49b98a030ea836c922381a07d3a55a5  |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | end time (pqv:P582)                            | v:864c28093f3e70d5e1967de207df801e  |
| s:Q25369-C24C4995-9540-4D08-9099-CDA7B62BFCBB | rdf:type                                       | wikibase:Statement                  |

[Assistant]
Shaquille O'Neal was a member of the Los Angeles Lakers from 1996-01-01 to 2004-07-14.
Kobe Bryant was a member of the Los Angeles Lakers from 1996-01-01 to 2016-01-01.

Since both were members of the Los Angeles Lakers during the year 2000, they were indeed teammates in that year.

I will now formulate the final SPARQL query to confirm this.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( ?city ) AS ?cityCount ) WHERE {
  wd:Q1144286 wdt:P527 ?city .
  ?city wdt:P31 wd:Q515 .
}

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

According to Wikidata, only one city, Shenzhen, is explicitly listed as part of the Pearl River Delta.

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

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

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

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

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

[User] How many cities are part of the Pearl River Delta?

[Assistant] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
Who painted The Storm on the Sea of Galilee?

SPARQL:
SELECT ?uri WHERE {
  wd:Q2246489 wdt:P170 ?uri
}

Using entities:
The Storm on the Sea of Galilee, also known as Christ in the Storm on the Sea of Galilee, St. Pieters scheepje, Storm on the Sea of Galilee (wd:Q2246489): stolen painting by Rembrandt

Using properties:
creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt): maker of this creative work or other object (where no more specific property exists)

Example 2:
Question:
Where is the birthplace of Goethe?

SPARQL:
SELECT ?res WHERE {
  wd:Q5879 wdt:P19 ?res .
}

Using entities:
Johann Wolfgang von Goethe, also known as Johann Wolfgang Von Goethe, Goethe (wd:Q5879): German writer, artist, natural scientist and politician (1749–1832), theatre manager, autobiographer, art historian, travel writer, visual artist, statesperson, mineralogist, art theorist, music critic, philosopher, playwright, theologian, art critic, politician, librettist, librarian, physicist, zoologist, diplomat, aphorist, polymath, botanist, composer, novelist, literary, diarist, painter, writer, jurist, lawyer, poet

Using properties:
place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt): most specific known birth location of a person, animal or fictional character, location

Example 3:
Question:
Show me all Czech movies.

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 wd:Q11424 .
  {
    ?uri wdt:P495 wd:Q213 .
  } UNION {
    ?uri wdt:P495 wd:Q33946 .
  }
}

Using entities:
film, also known as cinematic work, moving picture, movie, motion pictures, motion picture (wd:Q11424): sequence of images that give the impression of movement, stored on film stock
Czech Republic, also known as CZ, CZE, CZR, Czechia (wd:Q213): country in Central Europe
Czechoslovakia, also known as TCH, People's Republic of Czechoslovakia, CSFR, Federation of Czechoslovakia, ČSFR (wd:Q33946): country in Central Europe, 1918–1992

Using properties:
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country

[Assistant] The Pearl River Delta is a specific geographic region. To answer the question, I need to find the entity representing the Pearl River Delta and then find the cities that are part of it. I will start by searching for the entity "Pearl River Delta" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Pearl River Delta, also known as Canton River, Zhujiang Kou (wd:Q1144286): low-lying area surrounding the Pearl River estuary
2. Hong Kong–Zhuhai–Macau Bridge, also known as Hong Kong-Zhuhai-Macau Bridge, Pearl River Delta bridge, Pearl River Bridge Project, Macau-Hong Kong bridge, HZMB (wd:Q1191515): fixed link consisting of tunnel and multiple bridges
3. Pearl River Delta Economic Zone (wd:Q7158154): Economic region in southeastern China
4. Foshan Gaoming International Airport, also known as Pearl River Delta International Airport (wd:Q59569145): proposed airport in China
5. Tastefully in Pearl River Delta (wd:Q10921831)
6. G94 Pearl River Delta Ring Expressway (wd:Q594813): beltway connecting Hong Kong and Macau SARs, and cities near Zhujiangkou in Guangdong
7. Geology of the Pearl River Delta (wd:Q123455489)
8. Pearl River Delta Metropolitan Region Intercity Railway, also known as PRDIR (wd:Q4121252): Regional rail network in South China
9. Guangdong Pearl River Delta Intercity Railway Co., Ltd., also known as PRDIR (wd:Q116828690): company in Guangzhou, China
10. Pearl River Delta’s Regional Differentiation and Synergy (wd:Q119500806): scholarly article in Jinan Journal (Philosophy & Social Science Edition), no. 6, 2010

[Assistant] The entity "Pearl River Delta" (wd:Q1144286) represents the low-lying area surrounding the Pearl River estuary, which is the region we are interested in. Now, I will search for the property that relates cities to this region. I will search for properties related to "part of" or "located in" for the Pearl River Delta entity.

[Tool]
Top 10 property alternatives:
1. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
2. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt/p): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
3. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
4. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
5. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as wdt/p): item that is different from another item, with which it may be confused
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)

No other items found

[Assistant] The property "has part(s)" (wdt:P527) is the inverse of "part of" and can be used to find parts of the Pearl River Delta. Also, the property "located in the administrative territorial entity" (wdt:P131) can be used to find entities located in the Pearl River Delta. I will now check which property is used to link cities to the Pearl River Delta by searching for cities that are part of the Pearl River Delta using these properties. I will start with "located in the administrative territorial entity" (wdt:P131).

[Tool] Got no rows and 2 columns

[Assistant] No cities were found using the property "located in the administrative territorial entity" (wdt:P131) for the Pearl River Delta. I will now try the property "has part(s)" (wdt:P527) to see if it lists cities as parts of the Pearl River Delta.

[Tool]
Got 1 row and 2 columns:
| part                 | partLabel     |
| -------------------- | ------------- |
| Shenzhen (wd:Q15174) | Shenzhen (en) |

[Assistant] The Pearl River Delta has at least one city part, Shenzhen. To get a complete count of all cities that are part of the Pearl River Delta, I will count all entities that are instances of cities and are parts of the Pearl River Delta using the property "has part(s)" (wdt:P527).

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

[Assistant] The query returned only 1 city as part of the Pearl River Delta using the property "has part(s)". This seems too few, so I will try another approach. I will check if there is a broader administrative entity or economic zone related to the Pearl River Delta that might have more cities listed. I noticed "Pearl River Delta Economic Zone" (wd:Q7158154) in the entity search results. I will check the cities that are part of this economic zone using the property "located in the administrative territorial entity" (wdt:P131).

[Tool] Got no rows and 2 columns

[Assistant] No cities were found using the property "located in the administrative territorial entity" (wdt:P131) for the Pearl River Delta Economic Zone either. I will try to find cities that have the Pearl River Delta or its economic zone as a broader region using the property "located in or next to body of water" (wdt:P206) or other location-related properties. I will first check the properties of the Pearl River Delta Economic Zone to see if there is a better property to use.

[Tool]
Got 50 rows and 3 columns, showing the first 10 rows below:
| subject                                       | property                                              | object                                     |
| --------------------------------------------- | ----------------------------------------------------- | ------------------------------------------ |
| Pearl River Delta Economic Zone (wd:Q7158154) | instance of (wdt:P31)                                 | economic region (wd:Q1973901)              |
| Pearl River Delta Economic Zone (wd:Q7158154) | country (wdt:P17)                                     | People's Republic of China (wd:Q148)       |
| Pearl River Delta Economic Zone (wd:Q7158154) | official name (wdt:P1448)                             | 珠江三角洲經濟區 (zh-hant)                         |
| Pearl River Delta Economic Zone (wd:Q7158154) | Freebase ID (wdt:P646)                                | /m/03hlwct                                 |
| Pearl River Delta Economic Zone (wd:Q7158154) | Encyclopedia of China (Third Edition) ID (wdt:P10565) | 182676                                     |
| Pearl River Delta Economic Zone (wd:Q7158154) | wdt:P31279                                            | economic region (wd:Q1973901)              |
| Pearl River Delta Economic Zone (wd:Q7158154) | schema:description                                    | Economic region in southeastern China (en) |
| Pearl River Delta Economic Zone (wd:Q7158154) | schema:name                                           | İnci Nehir Deltası Ekonomik Bölgesi (tr)   |
| Pearl River Delta Economic Zone (wd:Q7158154) | rdf:type                                              | wikibase:Item                              |
| Pearl River Delta Economic Zone (wd:Q7158154) | rdfs:label                                            | İnci Nehir Deltası Ekonomik Bölgesi (tr)   |
| ...                                           | ...                                                   | ...                                        |

[Assistant] The Pearl River Delta Economic Zone is an economic region, but it does not have direct properties listing cities as parts. I will try a different approach: I will search for cities that have the Pearl River Delta or its economic zone as a "located in or next to body of water" (wdt:P206) or "located in the administrative territorial entity" (wdt:P131) or "part of" (wdt:P361). I will search for cities with these properties pointing to either wd:Q1144286 (Pearl River Delta) or wd:Q7158154 (Pearl River Delta Economic Zone). I will start with "located in the administrative territorial entity" (wdt:P131).

[Tool] Got no rows and 2 columns

[Assistant] No cities were found using the property "located in the administrative territorial entity" (wdt:P131) for either the Pearl River Delta or the Pearl River Delta Economic Zone. I will now try the property "part of" (wdt:P361) for cities that might be part of these regions.

[Tool]
Got 1 row and 2 columns:
| city                 | cityLabel     |
| -------------------- | ------------- |
| Shenzhen (wd:Q15174) | Shenzhen (en) |

[Assistant] Only one city, Shenzhen, is listed as part of the Pearl River Delta or the Pearl River Delta Economic Zone using the property "part of" (wdt:P361). This seems incomplete, so I will try to find cities located in the provinces or regions that make up the Pearl River Delta. The Pearl River Delta is mainly in Guangdong province and includes cities like Guangzhou, Shenzhen, Dongguan, Foshan, Zhuhai, Zhongshan, Jiangmen, and Huizhou. I will check if these cities are part of the Pearl River Delta by checking if they are located in Guangdong province (wd:Q1321) and then count them.

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

[Assistant] No cities were found with the property "located in the administrative territorial entity" (wdt:P131) as Guangdong province (wd:Q1321). This is unexpected since Guangdong is a province with many cities. I will try to find cities located in Guangdong province by checking if the city is an instance of city and has Guangdong as a "located in or next to body of water" (wdt:P206) or "located in the administrative territorial entity" (wdt:P131). I will also try to find cities that have Guangdong as a "part of" (wdt:P361). I will start with "located in the administrative territorial entity" (wdt:P131).

[Tool] Got no rows and 2 columns

[Assistant] It seems that the property "located in the administrative territorial entity" (wdt:P131) is not used for cities in Guangdong province in Wikidata. I will try to find cities in Guangdong province by checking if the city has Guangdong province as "located in or next to body of water" (wdt:P206) or "part of" (wdt:P361). I will start with "part of" (wdt:P361).

[Tool] Got no rows and 2 columns

[Assistant] No cities were found with the property "part of" (wdt:P361) as Guangdong province (wd:Q1321). I will try the property "located in or next to body of water" (wdt:P206) to see if it is used for cities in Guangdong province.

[Tool] Got no rows and 2 columns

[Assistant] No cities were found with the property "located in or next to body of water" (wdt:P206) as Guangdong province (wd:Q1321). Since the direct properties for cities being part of the Pearl River Delta or Guangdong province are not yielding results, I will try a different approach. I will search for cities that have "Pearl River Delta" or "Pearl River Delta Economic Zone" mentioned in their descriptions or alternative names to identify cities related to the Pearl River Delta. I will search for cities with the keyword "Pearl River Delta" in their descriptions or alternative names.

[Tool] Got no rows and 2 columns

[Assistant] No cities were found with the keyword "Pearl River Delta" in their descriptions. I will now try searching for cities with the keyword "Pearl River Delta" in their alternative names or official names.

[Tool] Got no rows and 2 columns

[Assistant] No cities were found with the keyword "Pearl River Delta" in their official names. Since the direct and indirect methods to find cities part of the Pearl River Delta in Wikidata are not yielding sufficient results, I will provide the answer based on the data found: only one city, Shenzhen, is explicitly listed as part of the Pearl River Delta in Wikidata. I will now finalize the answer with this information.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?publisher ?publisherLabel WHERE {
  wd:Q2357719 wdt:P123 ?publisher .
  OPTIONAL {
    ?publisher rdfs:label ?publisherLabel FILTER ( LANG( ?publisherLabel ) = "en" )
  }
}

The publisher of Smite is Hi-Rez Studios.

[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 publisher of Smite ?

[Assistant] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
Where is Fort Knox located?

SPARQL:
SELECT ?uri {
  wd:Q8962067 wdt:P131 + ?uri .
}

Using entities:
Fort Knox, also known as Fort Knox CDP, Fort Knox, Kentucky, Fort Knox, KY (wd:Q8962067): census-designated place in Kentucky, United States

Using properties:
located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of

Example 2:
Question:
What is the highest mountain in Italy?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 wd:Q8502 ; wdt:P17 wd:Q38 ; wdt:P2044 ?elevation .
}
ORDER BY DESC ( ?elevation )
LIMIT 1

Using entities:
Italy, also known as Italia, Republic of Italy, Repubblica Italiana, Italian Republic, ITA (wd:Q38): country in Southern Europe
mountain, also known as mt., mtn., mountains, mount (wd:Q8502): large natural elevation of the Earth's surface

Using properties:
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as wdt): height of the item (geographical object) as measured relative to sea level
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
Show me all books in Asimov's Foundation series.

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q1564644 wdt:P527 ?uri
}

Using entities:
Foundation series, also known as The Foundation Series (wd:Q1564644): series of science fiction books by Isaac Asimov

Using properties:
has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).

[Assistant]
The question is "Who is the publisher of Smite?" We need to find the entity for "Smite" and then find the property related to "publisher" for that entity.

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

[Tool]
Top 10 entity alternatives:
1. Smite (wd:Q2357719): 2014 video game
2. dueling scar, also known as Mensur scar, bragging scar, smite (wd:Q340053): facial scars left by the sport of academic fencing
3. Dagnija Šmite, also known as Šmite (wd:Q36541227): botanist
4. Šmite (wd:Q124734370): family name
5. Smite (wd:Q129875391): video game series
6. Smite (wd:Q114552397): episode of Sons of Anarchy (S2 E5)
7. smite (wd:L27136)
8. smite (wd:L27136-F1)
9. smite (wd:L739220-S1)
10. Smite River (wd:Q7544835): river in New Zealand

[Assistant] The most relevant entity for "Smite" in the context of a video game is wd:Q2357719 (2014 video game). Now, let's search for the property related to "publisher" for this entity.

[Tool]
Top 10 property alternatives:
1. publisher, also known as video game publisher, software publisher, comic book publisher, sheet music publisher, publishing house (wd:P123 as wdt/p): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software
2. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as wdt/p): method (or type) of distribution for the subject
3. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/p): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
4. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as wdt/p): date or point in time when a work was first published or released, point in time
5. platform, also known as computing platform, runtime, published on, platforms, hardware (wd:P400 as wdt/p): platform for which a work was developed or released, or the specific platform version of a software product
6. title, also known as name, titled, page name, original title, known as (wd:P1476 as wdt/p): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
7. distributed by, also known as distributor (wd:P750 as wdt/p): distributor of a creative work; distributor for a record label; news agency; film distributor
8. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
9. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as wdt/p): organization or person that developed the item, creator
10. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as wdt/p): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))

No other items found

[Assistant]
The property "publisher" (wdt:P123) is the relevant property for the publisher of the video game Smite (wd:Q2357719).

Now, I will write a SPARQL query to get the publisher of Smite.

[Tool]
Got 1 row and 2 columns:
| publisher                    | publisherLabel      |
| ---------------------------- | ------------------- |
| Hi-Rez Studios (wd:Q5750244) | Hi-Rez Studios (en) |

[Tool] Stopped generation process


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

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

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

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

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

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

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

[User] How many ski resorts were there ever in France?

[Assistant] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
Give me the homepage of Forbes.

SPARQL:
SELECT ?uri WHERE {
  wd:Q25161472 wdt:P856 ?uri
}

Using entities:
Forbes, also known as forbes.com, Forbes magazine (wd:Q25161472): American business magazine

Using properties:
official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL

Example 2:
Question:
Which instruments does Cat Stevens play?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q154216 wdt:P1303 ?uri .
}

Using entities:
Cat Stevens, also known as Yusuf Islam, Yusuf Islam (Cat Stevens), Yusuf/Cat Stevens, Yusuf (wd:Q154216): British musician (born 1948), singer-songwriter, recording artist, guitarist, musician, composer, singer

Using properties:
instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as wdt): musical instrument that a person plays or teaches or used in a music occupation, uses

Example 3:
Question:
Which programming languages were influenced by Perl?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 wd:Q9143 ; wdt:P737 wd:Q42478 .
}

Using entities:
Perl, also known as Perl/CGI, Practical Extraction and Reporting Language, perl, Pearl (wd:Q42478): interpreted programming language first released in 1987
programming language, also known as coding language, computer language, computer programming, computer programming language (wd:Q9143): language for communicating instructions to a machine

Using properties:
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as wdt): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”

[Assistant] The examples found do not directly relate to ski resorts or France, so I will proceed by searching for the entity "ski resort" in Wikidata to identify the correct entity to use in the query.

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

[Assistant] The entity for ski resort is wd:Q130003. Next, I will search for the property that indicates the country where the ski resort is located, likely "country" or "located in the administrative territorial entity."

[Tool]
Top 10 property alternatives:
1. OpenStreetMap tag or key, also known as tag, OSM wiki tag or key, OpenStreetMap relation role, OSM tag or key, OSM tag (wd:P1282 as wdt/p): OpenStreetMap tagging schema (a Key:key, Tag:key=value, Relation:type, or Role:role) for classes, properties, and values
2. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
3. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
4. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as wdt/p): main Wikidata property for this item
5. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
6. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
7. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
8. page banner, also known as article banner, WV banner, Women in Red banner, WIR banner, Wikivoyage banner (wd:P948 as wdt/p): image at top of an article about the topic, mainly used by Wikivoyage and Women in Red, image
9. Great Aragonese Encyclopedia ID, also known as Aragon encyclopedia ID, GEA ID (wd:P1807 as wdt/p): identifier in the Spanish language, Aragon-themed, Great Aragonese Encyclopedia (GEA)
10. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as wdt/p): item that is different from another item, with which it may be confused

No other items found

[Assistant] The property "country" (wdt:P17) is not listed in the top results for ski resort, so I will try searching for the property "located in the administrative territorial entity" which is commonly used for location.

[Tool]
Top 10 property alternatives:
1. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
2. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as wdt/p): main Wikidata property for this item
3. OpenStreetMap tag or key, also known as tag, OSM wiki tag or key, OpenStreetMap relation role, OSM tag or key, OSM tag (wd:P1282 as wdt/p): OpenStreetMap tagging schema (a Key:key, Tag:key=value, Relation:type, or Role:role) for classes, properties, and values
4. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
5. NLS place type ID, also known as Finnish National Land Survey place type ID, National Land Survey place type ID (wd:P9230 as wdt/p): place type ID in the Finnish National Land Survey Place Names Register
6. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
7. Commons gallery, also known as gallery (wd:P935 as wdt/p): name of the Wikimedia Commons gallery page(s) related to this item (is suitable to allow multiple links to more gallery pages)
8. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
9. page banner, also known as article banner, WV banner, Women in Red banner, WIR banner, Wikivoyage banner (wd:P948 as wdt/p): image at top of an article about the topic, mainly used by Wikivoyage and Women in Red, image
10. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with

No other items found

[Assistant] The property "located in the administrative territorial entity" (wdt:P131) is not listed in the top results either. I will explicitly check for the property "country" (wdt:P17) usage for ski resorts by listing some triples with ski resorts as subject and property wdt:P17.

[Tool] Got no rows and 3 columns

[Assistant] There are no direct triples with property "country" (wdt:P17) for ski resorts. I will try the property "located in the administrative territorial entity" (wdt:P131) for ski resorts.

[Tool] Got no rows and 3 columns

[Assistant] There are no direct triples with property "located in the administrative territorial entity" (wdt:P131) for ski resorts either. I will try the property "located in country" (wdt:P17) for instances of ski resorts. I will search for instances of ski resorts in France by querying for entities that are instance of ski resort and located in France.

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

[Assistant] The entity for France is wd:Q142. I will now write a SPARQL query to count the number of ski resorts (wd:Q130003) that are located in France (wd:Q142) using the property "country" (wdt:P17). I will also try the property "located in the administrative territorial entity" (wdt:P131) as a fallback.

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

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

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?director ?directorLabel WHERE {
  wd:Q28091065 wdt:P57 ?director .
  OPTIONAL {
    ?director rdfs:label ?directorLabel FILTER ( LANG( ?directorLabel ) = "en" )
  }
}

The director of the TV series "Anne with an E" is Niki Caro.

[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 directed Anne with an E ?

[Assistant] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
Which companies work in the aerospace industry as well as in medicine?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?type wdt:P279 * wd:Q4830453 .
  ?aerospace wdt:P279 * wd:Q3477363 .
  ?healthcare wdt:P279 * wd:Q15067276 .
  ?pharma wdt:P279 * wd:Q507443 .
  ?uri wdt:P452 ?aerospace ; wdt:P452 ?healthcare .
}

Using entities:
health care industry, also known as healthcare industry, health industry, medical care industry, medical industry (wd:Q15067276): industry dedicated to providing health care services and products
aerospace industry, also known as aircraft industry (wd:Q3477363): industrial sector
business (wd:Q4830453): organization undertaking commercial, industrial, or professional activity
pharmaceutical industry, also known as drug industry, pharma, pharmaceutical wholesaler, pharma industry (wd:Q507443): develops, produces, and markets drugs or pharmaceuticals licensed for use as medications

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
industry, also known as branch, economic branch, field of action, field of exercise, sector (wd:P452 as wdt): specific industry of company or organization, part of

Example 2:
Question:
What is the birth name of Angela Merkel?

SPARQL:
SELECT DISTINCT ?name WHERE {
  wd:Q567 wdt:P1477 ?name .
}

Using entities:
Angela Merkel, also known as Angela Dorothea Merkel, leader of the free world, Angela Kasner (wd:Q567): chancellor of Germany from 2005 to 2021, politician, physicist

Using properties:
birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdt): full name of a person at birth, if different from their current, generally used name, name

Example 3:
Question:
What is the largest state in the United States?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 wd:Q35657 .
  ?uri wdt:P2046 ?area .
}
ORDER BY DESC ( ?area )
LIMIT 1

Using entities:
U.S. state, also known as U.S. states, US state, USA state, U.S.A. state, United States states (wd:Q35657): constituent political entity of the United States of America

Using properties:
area, also known as total area, surface area, surface, size, resolution (wd:P2046 as wdt): area occupied by an object
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant]
The question is "Who directed Anne with an E?" We need to find the entity for "Anne with an E" and then find the property related to the director of a TV show or series.

Step 1: Search for the entity "Anne with an E" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Anne with an E (wd:Q28091065): Canadian drama television series
2. Anne Linda Chisa, also known as Anne with an E (wd:Q109236706): South African academic, podcaster
3. Anne with an E, season 1 (wd:Q30897460): Wikimedia list article
4. Anne with an E, season 2 (wd:Q56327877): season of Anne with an E
5. Anne with an E, season 3 (wd:Q97370516): season of Anne with an E
6. An Intimate Evening with Anne Murray (wd:Q4750087): live album
7. Annelid Phylogeny—Molecular Anal...th an Emphasis on Model Annelids (wd:Q57267390): article
8. Hat with Bird: Anne Estelle Rice (wd:Q119158898): painting by John Duncan Fergusson (1874–1961), Kelvingrove Art Gallery and Museum
9. Queery with Cameron Esposito: Anne McClain, also known as Anne McClain (wd:Q117712680): Queery with Cameron Esposito podcast episode
10. Live Body: An interview with Anne Emmanuelle Berger (wd:Q127594883): scholarly article

[Assistant] The entity "Anne with an E" as a Canadian drama television series is wd:Q28091065. Next, I will search for properties related to the director of this TV series. I will search for properties related to "director" for the entity wd:Q28091065.

[Tool]
Top 10 property alternatives:
1. director, also known as film director, movie director, game director, directed by (wd:P57 as wdt/p): director(s) of film, TV-series, stageplay, video game or similar, contributor to the creative work or subject, creator
2. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as wdt/p): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
3. screenwriter, also known as story by, teleplay by, video game writer, writer (of screenplays), writing credits (wd:P58 as wdt/p): person(s) who wrote the script for subject item, film crew member, author
4. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
5. title, also known as name, titled, page name, original title, known as (wd:P1476 as wdt/p): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
6. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/p): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
7. Kinobox film ID, also known as www.kinobox.cz/film/, kinobox.cz/film/, https://www.kinobox.cz/film/ (wd:P12096 as wdt/p): identifier for a film on the Kinobox.cz website
8. IMDb ID, also known as IMDb identifier, Internet Movie Database identifier (wd:P345 as wdt/p): identifier for the IMDb (with prefix 'tt', 'nm', 'co', 'ev', 'ch' or 'ni')
9. Rotten Tomatoes ID, also known as RottenTomatoes ID, Rotten Tomatoes identifier, RottenTomatoes identifier (wd:P1258 as wdt/p): identifier on Rotten Tomatoes
10. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdt/p): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country

No other items found

[Assistant] The property for director is wd:P57. Now I will write a SPARQL query to get the director(s) of the TV series "Anne with an E" (wd:Q28091065).

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

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?person ?personLabel WHERE {
  ?person wdt:P20 wd:Q934 .
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}

The person who died at the North Pole is Sigizmund Levanevsky.

[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 died at the North Pole?

[Assistant] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
When was the Titanic completed?

SPARQL:
SELECT DISTINCT ?date WHERE {
  wd:Q25173 wdt:P729 ?date .
}

Using entities:
Titanic, also known as RMS Titanic, The Titanic, Royal Mail Steamship Titanic, SS Titanic (wd:Q25173): British transatlantic passenger liner, launched and foundered in 1912

Using properties:
service entry, also known as commissioned, time of service entry, service introduction, launch date, in service (wd:P729 as wdt): date or point in time on which a piece or class of equipment entered operational service, start time

Example 2:
Question:
Which scientist is known for the Manhattan Project and the Nobel Peace Prize?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P1344 wd:Q127050 .
  ?scientist wdt:P279 * wd:Q901 .
  ?uri wdt:P106 ?scientist .
  ?uri wdt:P166 wd:Q35637 .
}

Using entities:
Manhattan Project, also known as Development of Substitute Materials (wd:Q127050): World War 2 American R&D program that produced the first nuclear weapons
Nobel Peace Prize, also known as Nobel Prize for Peace, Noble Peace Prize, Nobel Prize in Peace (wd:Q35637): one of five Nobel Prizes
scientist, also known as natural philosopher (wd:Q901): person who use scientific methods to study in an area of interest

Using properties:
occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as wdt): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt): award or recognition received by a person, organization or creative work
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain

Example 3:
Question:
Who is the owner of Universal Studios?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q168383 wdt:P127 ?uri .
}

Using entities:
Universal Pictures, also known as Universal City Studios LLC, Universal Film Manufacturing Company, Universal-International Pictures Inc., Universal Studios (wd:Q168383): American film studio

Using properties:
owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as wdt): owner of the subject

[Assistant]
The question "Who died at the North Pole?" implies we want to find people (entities) who have a death place or death event associated with the North Pole (entity).

Step 1: Identify the entity for "North Pole."
Step 2: Identify the property for "place of death" or similar.
Step 3: Query for people who have the North Pole as their place of death.

I will start by searching for the entity "North Pole" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. North Pole, also known as terrestrial North Pole, geographic North Pole (wd:Q934): one of the two points where the Earth's axis of rotation intersects its surface
2. North Pole, also known as North Pole, Alaska (wd:Q79494): city in Alaska, USA
3. North Pole, also known as North Pole, ID, North Pole, Idaho (wd:Q7056392): unincorporated community in Idaho
4. North Pole, also known as North Pole, New York, North Pole, NY (wd:Q4327488): human settlement in United States of America
5. North Pole (wd:Q130803558): pub in Wateringbury, Tonbridge and Malling, Kent, England
6. North Pole (wd:Q21958071): mine in Western Australia
7. North Pole (wd:Q21983876): mountain in Australia
8. North Pole (wd:Q31972103): mine in Masvingo Province, Zimbabwe
9. North Pole (wd:Q34886291): mountain in United States of America
10. North Pole (wd:Q49057483): mountain in Idaho, United States of America

[Assistant] The entity for the geographic North Pole is wd:Q934. Next, I need to find the property for "place of death" or similar to find people who died at this location. I will search for properties related to "place of death."

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as pr/wdtn/pq/pqn/pqv/p/prn/psn/wdt/psv/prv/ps): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as pr/wdtn/pq/pqn/pqv/p/prn/psn/wdt/psv/prv/ps): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as pr/wdtn/pq/pqn/pqv/p/prn/psn/wdt/psv/prv/ps): dissolved, abolished or demolished date, date on which the subject died, end time
4. category for people who died here, also known as category for place of death, category of people who died here (wd:P1465 as pr/wdtn/pq/pqn/pqv/p/prn/psn/wdt/psv/prv/ps): category item for people who died in this location, related category
5. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as pr/wdtn/pq/pqn/pqv/p/prn/psn/wdt/psv/prv/ps): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
6. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as pr/wdtn/pq/pqn/pqv/p/prn/psn/wdt/psv/prv/ps): total (cumulative) number of people who died since start as a direct result of an event or cause
7. category for people buried here, also known as buried here: Wikimedia category for, category of people buried here, category for place of burial, category for burials (wd:P1791 as pr/wdtn/pq/pqn/pqv/p/prn/psn/wdt/psv/prv/ps): Wikimedia category for people with a burial site within this area, related category
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as pr/wdtn/pq/pqn/pqv/p/prn/psn/wdt/psv/prv/ps): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as pr/wdtn/pq/pqn/pqv/p/prn/psn/wdt/psv/prv/ps): date on which the person was buried or cremated soon after death, point in time
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as pr/wdtn/pq/pqn/pqv/p/prn/psn/wdt/psv/prv/ps): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant] The property for "place of death" is wd:P20. Now I will write a SPARQL query to find people who have the North Pole (wd:Q934) as their place of death (wdt:P20). I will also include their labels for better readability.

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

[Tool] Stopped generation process