PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
SELECT ?team WHERE {
  wd:Q296403 p:P54 ?statement .
  ?statement ps:P54 ?team .
  OPTIONAL {
    ?statement pq:P580 ?start .
  }
  OPTIONAL {
    ?statement pq:P582 ?end .
  }
  FILTER ( ( ! BOUND( ?end ) || ?end >= NOW () ) && ( ! BOUND( ?start ) || ?start <= NOW () ) )
}

According to Wikidata, Lamar Odom is not currently playing for any team this year.

[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 lamar odom playing for this year?

[Assistant]
Let's break down the question:

1. The user is asking about "Lamar Odom" (a basketball player).
2. They want to know which team he is playing for "this year" (current year).

First, I need to identify Lamar Odom's entity in Wikidata. Then, I need to find the property that links a basketball player to their current team, and filter for the current year.

Step 1: Search for "Lamar Odom" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Lamar Odom, also known as Lamar Joseph Odom, The Goods, L.O., Candy Man (wd:Q296403): American basketball player, basketball player
2. Lamar Odom: Reborn, also known as Lamar Odom Re/born, Lamar Odom Reborn (wd:Q130267969): 2023 American documetary about addiction and recovery
3. Lamar, also known as Lamar, CO, Lamar, Colorado (wd:Q994475): home rule municipality in and county seat of Prowers County, Colorado, United States
4. Lamar, also known as Lamar, Missouri, Lamar, MO (wd:Q572172): city in Missouri, United States
5. Lamar, also known as Lamar, AR, Lamar, Arkansas (wd:Q79276): city in Johnson County, Arkansas, United States
6. Lamar, also known as Lamar, OK, Lamar, Oklahoma (wd:Q3287546): town in Hughes County, Oklahoma, United States
7. Lamar, also known as Lamar, SC, Lamar, South Carolina (wd:Q2083536): town in South Carolina
8. Lamar, also known as Lamar, NE, Lamar, Nebraska (wd:Q1809547): village in Nebraska
9. Lamar, also known as Lamar, Texas, Lamar, TX (wd:Q972793): census-designated place in Aransas County, Texas, United States
10. Lamar, also known as Lamar, Pennsylvania (wd:Q6480823): census-designated place in Clinton County, Pennsylvania, USA

[Assistant]
The correct entity for Lamar Odom, the basketball player, is wd:Q296403.

Next, I need to find the property that links a basketball player to their current team. I will search for properties related to "team" for Lamar Odom.

[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 p/wdt): 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 p/wdt): educational institution attended by subject, affiliation
4. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt): 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 p/wdt): sport that the subject participates or participated in or is associated with
8. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
9. 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)
10. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location

No other items found

[Assistant]
The property "member of sports team" (wdt:P54) is the one that links Lamar Odom to the teams he has played for.

Now, to answer the user's question about who Lamar Odom is playing for "this year" (the current year), I need to check if there is a qualifier for "member of sports team" that specifies the time period (start and end dates) for each team.

I will list some triples where Lamar Odom is the subject and "member of sports team" (wdt:P54) is the property, to see what qualifiers are available.

[Tool]
Got 6 rows and 3 columns:
| subject                 | property                      | object                                         |
| ----------------------- | ----------------------------- | ---------------------------------------------- |
| Lamar Odom (wd:Q296403) | member of sports team (p:P54) | s:q296403-379022C8-7EB0-42E1-AE1F-4B82BFE5DFB9 |
| Lamar Odom (wd:Q296403) | member of sports team (p:P54) | s:q296403-5D885AB2-8DD0-43BA-8AC6-0F1B809FCB13 |
| Lamar Odom (wd:Q296403) | member of sports team (p:P54) | s:q296403-80ADD859-2B51-476F-B0E9-C590147FB2AE |
| Lamar Odom (wd:Q296403) | member of sports team (p:P54) | s:Q296403-c4f91fae-43b2-7b8b-74b6-7743b750c2c4 |
| Lamar Odom (wd:Q296403) | member of sports team (p:P54) | s:Q296403-E4001AA2-9456-4AAA-A2E9-9E7629E6609A |
| Lamar Odom (wd:Q296403) | member of sports team (p:P54) | s:q296403-E9EDE826-1B1E-44B6-8978-5069761852F4 |

[Tool]
Got 9 rows and 3 columns:
| subject                                        | property                       | object                                       |
| ---------------------------------------------- | ------------------------------ | -------------------------------------------- |
| s:q296403-379022C8-7EB0-42E1-AE1F-4B82BFE5DFB9 | member of sports team (ps:P54) | Dallas Mavericks (wd:Q132893)                |
| s:q296403-379022C8-7EB0-42E1-AE1F-4B82BFE5DFB9 | start time (pq:P580)           | 2011-01-01T00:00:00Z (xsd:dateTime)          |
| s:q296403-379022C8-7EB0-42E1-AE1F-4B82BFE5DFB9 | end time (pq:P582)             | 2012-01-01T00:00:00Z (xsd:dateTime)          |
| s:q296403-379022C8-7EB0-42E1-AE1F-4B82BFE5DFB9 | wikibase:rank                  | wikibase:NormalRank                          |
| s:q296403-379022C8-7EB0-42E1-AE1F-4B82BFE5DFB9 | rdf:type                       | wikibase:BestRank                            |
| s:q296403-379022C8-7EB0-42E1-AE1F-4B82BFE5DFB9 | prov:wasDerivedFrom            | ref:fa278ebfc458360e5aed63d5058cca83c46134f1 |
| s:q296403-379022C8-7EB0-42E1-AE1F-4B82BFE5DFB9 | start time (pqv:P580)          | v:19fb1e607fb895edac44d92bd9141272           |
| s:q296403-379022C8-7EB0-42E1-AE1F-4B82BFE5DFB9 | end time (pqv:P582)            | v:a4cd9904a78844d854ea927fbdded8f2           |
| s:q296403-379022C8-7EB0-42E1-AE1F-4B82BFE5DFB9 | rdf:type                       | wikibase:Statement                           |

[Tool]
Got 9 rows and 3 columns:
| subject                                        | property                       | object                                       |
| ---------------------------------------------- | ------------------------------ | -------------------------------------------- |
| s:q296403-5D885AB2-8DD0-43BA-8AC6-0F1B809FCB13 | member of sports team (ps:P54) | Los Angeles Clippers (wd:Q976396)            |
| s:q296403-5D885AB2-8DD0-43BA-8AC6-0F1B809FCB13 | start time (pq:P580)           | 2012-01-01T00:00:00Z (xsd:dateTime)          |
| s:q296403-5D885AB2-8DD0-43BA-8AC6-0F1B809FCB13 | end time (pq:P582)             | 2013-01-01T00:00:00Z (xsd:dateTime)          |
| s:q296403-5D885AB2-8DD0-43BA-8AC6-0F1B809FCB13 | wikibase:rank                  | wikibase:NormalRank                          |
| s:q296403-5D885AB2-8DD0-43BA-8AC6-0F1B809FCB13 | rdf:type                       | wikibase:BestRank                            |
| s:q296403-5D885AB2-8DD0-43BA-8AC6-0F1B809FCB13 | prov:wasDerivedFrom            | ref:fa278ebfc458360e5aed63d5058cca83c46134f1 |
| s:q296403-5D885AB2-8DD0-43BA-8AC6-0F1B809FCB13 | start time (pqv:P580)          | v:a4cd9904a78844d854ea927fbdded8f2           |
| s:q296403-5D885AB2-8DD0-43BA-8AC6-0F1B809FCB13 | end time (pqv:P582)            | v:ac3f54d758c2b8d235d9d0e9fbf2f43a           |
| s:q296403-5D885AB2-8DD0-43BA-8AC6-0F1B809FCB13 | rdf:type                       | wikibase:Statement                           |

[Tool]
Got 9 rows and 3 columns:
| subject                                        | property                       | object                                       |
| ---------------------------------------------- | ------------------------------ | -------------------------------------------- |
| s:q296403-80ADD859-2B51-476F-B0E9-C590147FB2AE | member of sports team (ps:P54) | Los Angeles Lakers (wd:Q121783)              |
| s:q296403-80ADD859-2B51-476F-B0E9-C590147FB2AE | start time (pq:P580)           | 2004-01-01T00:00:00Z (xsd:dateTime)          |
| s:q296403-80ADD859-2B51-476F-B0E9-C590147FB2AE | end time (pq:P582)             | 2011-01-01T00:00:00Z (xsd:dateTime)          |
| s:q296403-80ADD859-2B51-476F-B0E9-C590147FB2AE | wikibase:rank                  | wikibase:NormalRank                          |
| s:q296403-80ADD859-2B51-476F-B0E9-C590147FB2AE | rdf:type                       | wikibase:BestRank                            |
| s:q296403-80ADD859-2B51-476F-B0E9-C590147FB2AE | prov:wasDerivedFrom            | ref:fa278ebfc458360e5aed63d5058cca83c46134f1 |
| s:q296403-80ADD859-2B51-476F-B0E9-C590147FB2AE | start time (pqv:P580)          | v:d856dc41cd8b187e580caec258ead625           |
| s:q296403-80ADD859-2B51-476F-B0E9-C590147FB2AE | end time (pqv:P582)            | v:19fb1e607fb895edac44d92bd9141272           |
| s:q296403-80ADD859-2B51-476F-B0E9-C590147FB2AE | rdf:type                       | wikibase:Statement                           |

[Tool]
Got 6 rows and 3 columns:
| subject                                        | property                       | object                              |
| ---------------------------------------------- | ------------------------------ | ----------------------------------- |
| s:Q296403-c4f91fae-43b2-7b8b-74b6-7743b750c2c4 | member of sports team (ps:P54) | Saski Baskonia (wd:Q54927)          |
| s:Q296403-c4f91fae-43b2-7b8b-74b6-7743b750c2c4 | point in time (pq:P585)        | 2014-01-01T00:00:00Z (xsd:dateTime) |
| s:Q296403-c4f91fae-43b2-7b8b-74b6-7743b750c2c4 | wikibase:rank                  | wikibase:NormalRank                 |
| s:Q296403-c4f91fae-43b2-7b8b-74b6-7743b750c2c4 | rdf:type                       | wikibase:BestRank                   |
| s:Q296403-c4f91fae-43b2-7b8b-74b6-7743b750c2c4 | point in time (pqv:P585)       | v:4755748741739c53456596b64165b84b  |
| s:Q296403-c4f91fae-43b2-7b8b-74b6-7743b750c2c4 | rdf:type                       | wikibase:Statement                  |

[Tool]
Got 9 rows and 3 columns:
| subject                                        | property                       | object                                           |
| ---------------------------------------------- | ------------------------------ | ------------------------------------------------ |
| s:Q296403-E4001AA2-9456-4AAA-A2E9-9E7629E6609A | member of sports team (ps:P54) | Rhode Island Rams men's basketball (wd:Q7320948) |
| s:Q296403-E4001AA2-9456-4AAA-A2E9-9E7629E6609A | start time (pq:P580)           | 1998-01-01T00:00:00Z (xsd:dateTime)              |
| s:Q296403-E4001AA2-9456-4AAA-A2E9-9E7629E6609A | end time (pq:P582)             | 1999-01-01T00:00:00Z (xsd:dateTime)              |
| s:Q296403-E4001AA2-9456-4AAA-A2E9-9E7629E6609A | wikibase:rank                  | wikibase:NormalRank                              |
| s:Q296403-E4001AA2-9456-4AAA-A2E9-9E7629E6609A | rdf:type                       | wikibase:BestRank                                |
| s:Q296403-E4001AA2-9456-4AAA-A2E9-9E7629E6609A | prov:wasDerivedFrom            | ref:7861d66d49ba5b384ad8ba7caedf2889444ad549     |
| s:Q296403-E4001AA2-9456-4AAA-A2E9-9E7629E6609A | start time (pqv:P580)          | v:4ed5447d4fbbb9a84fd28119d4f7257d               |
| s:Q296403-E4001AA2-9456-4AAA-A2E9-9E7629E6609A | end time (pqv:P582)            | v:6507b37009e074036cb6279ec2e50f73               |
| s:Q296403-E4001AA2-9456-4AAA-A2E9-9E7629E6609A | rdf:type                       | wikibase:Statement                               |

[Tool]
Got 9 rows and 3 columns:
| subject                                        | property                       | object                                       |
| ---------------------------------------------- | ------------------------------ | -------------------------------------------- |
| s:q296403-E9EDE826-1B1E-44B6-8978-5069761852F4 | member of sports team (ps:P54) | Miami Heat (wd:Q169138)                      |
| s:q296403-E9EDE826-1B1E-44B6-8978-5069761852F4 | start time (pq:P580)           | 2003-01-01T00:00:00Z (xsd:dateTime)          |
| s:q296403-E9EDE826-1B1E-44B6-8978-5069761852F4 | end time (pq:P582)             | 2004-01-01T00:00:00Z (xsd:dateTime)          |
| s:q296403-E9EDE826-1B1E-44B6-8978-5069761852F4 | wikibase:rank                  | wikibase:NormalRank                          |
| s:q296403-E9EDE826-1B1E-44B6-8978-5069761852F4 | rdf:type                       | wikibase:BestRank                            |
| s:q296403-E9EDE826-1B1E-44B6-8978-5069761852F4 | prov:wasDerivedFrom            | ref:fa278ebfc458360e5aed63d5058cca83c46134f1 |
| s:q296403-E9EDE826-1B1E-44B6-8978-5069761852F4 | start time (pqv:P580)          | v:d08540251db5f4703c45d338e4657af7           |
| s:q296403-E9EDE826-1B1E-44B6-8978-5069761852F4 | end time (pqv:P582)            | v:d856dc41cd8b187e580caec258ead625           |
| s:q296403-E9EDE826-1B1E-44B6-8978-5069761852F4 | rdf:type                       | wikibase:Statement                           |

[Assistant]
From the data, all of Lamar Odom's "member of sports team" statements have end dates or points in time that are in the past (latest is 2014). There is no team with a start date or point in time that includes the current year, nor is there a statement without an end date (which would indicate a current team).

Therefore, according to Wikidata, Lamar Odom is not currently playing for any team this year.

I will now construct a SPARQL query that checks for any team membership for Lamar Odom that is current as of this year (i.e., either with no end date or with an end date in the future), and return the team if it exists.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?college WHERE {
  wd:Q6759529 wdt:P69 ?college
}

Margaret Hoover attended Davidson College and Bryn Mawr College.

[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] where did margaret hoover go to college?

[Assistant]
Let's break down the question:

1. The entity is "Margaret Hoover".
2. The property is "educated at" or "college attended".

First, I will search for the entity "Margaret Hoover" in Wikidata to get her identifier.

[Tool]
Top 10 entity alternatives:
1. Colleen Hoover, also known as Margaret Hoover, Margaret Fennell, Margaret Colleen Fennell, Colleen Fennell (wd:Q18348293): children's writer, American author, novelist, writer
2. Margaret Hoover, also known as Margaret Claire Hoover (wd:Q6759529): American political commentator (born 1977), political adviser, media personality, politician, pundit
3. Margaret Coberly, also known as Margaret Coberly Hoover, Margaret Hoover (wd:Q75766489): (1911-2009)
4. Margaret Eva Watson, also known as Margaret Eva Hoover, Margaret Hoover, Margaret Watson (wd:Q75766488): (190_-1982)
5. Margaret Ann Hoover, also known as Margaret Ann Bringham (wd:Q105131468): granddaughter of U.S. president Herbert Hoover (1926-2011)
6. Firing Line, also known as Firing Line with Margaret Hoover, Firing Line with William F. Buckley, Jr., FL2 LLC, Line Firing (wd:Q5452076): American public affairs television show
7. Margaret Hoover's Files (NAID 7074176) (wd:Q63908951): series in the National Archives and Records Administration's holdings
8. Psy, also known as PSY, Park Jae-sang, 박재상 (Park Jae-Sang), Pak Chaesang, Bak Jae-Sang (wd:Q20150): South Korean singer (born 1977), television producer, record producer, choreographer, film actor, songwriter, rapper, singer
9. vacuum cleaner, also known as vacuum, vac, hoover (wd:Q101674): device that uses air to suck up dirt and other substances
10. vacuum cleaner, also known as hoover, vac, vacuum (wd:Q101674): device that uses air to suck up dirt and other substances

[Assistant]
The most relevant entity for "Margaret Hoover" (the American political commentator born in 1977) is wd:Q6759529.

Next, I need to find the property for "college attended" or "educated at". I will search for properties related to "educated at".

[Tool]
Top 10 property alternatives:
1. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): educational institution attended by subject, affiliation
2. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): person or organization who grants an award, certification, grant, or role
3. student of, also known as professor, studied under, pupil of, tutor, mentor (wd:P1066 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): person who has taught this person, significant person
4. student, also known as teacher to, teacher of, had student, students, pupils (wd:P802 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): notable student(s) of the subject individual, significant person
5. studied in, also known as is studied by, studied by, science, that studies, researched in, researched by (wd:P2579 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): subject is studied by this science or domain, field of work
6. gender educated (wd:P7419 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): genders educated at this educational institution
7. academic major, also known as academic subject, college major, field of study, major, studied (wd:P812 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): major someone studied at college/university
8. has role in modeling, also known as has role in modelling, used for investigating, used for researching, used for studying, used to investigate (wd:P6530 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): relation between a research artefact and an entity that is used ... its replicating or approximating features of the studied entity
9. academic degree, also known as academic diploma, degree, diploma (wd:P512 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): academic degree that the person holds
10. influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”

[Assistant]
The property "educated at" (wdt:P69) is the most relevant for finding which college Margaret Hoover attended.

Now, I will construct a SPARQL query to find the educational institution(s) attended by Margaret Hoover (wd:Q6759529) using the property "educated at" (wdt:P69). I will also try to get the label of the institution for clarity.

[Tool]
Got 2 rows and 2 columns:
| college                        | collegeLabel           |
| ------------------------------ | ---------------------- |
| Davidson College (wd:Q2902978) | Davidson College (en)  |
| Bryn Mawr College (wd:Q995265) | Bryn Mawr College (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?influencer WHERE {
  wd:Q937 wdt:P737 ?influencer .
}

Got 18 rows and 1 column, showing the first 5 and last 5 rows below:
| influencer                      |
| ------------------------------- |
| Mahatma Gandhi (wd:Q1001)       |
| George Bernard Shaw (wd:Q19185) |
| Paul Valéry (wd:Q200639)        |
| Thomas Young (wd:Q25820)        |
| Karl Pearson (wd:Q310794)       |
| ...                             |
| Riazuddin (wd:Q7322195)         |
| James Clerk Maxwell (wd:Q9095)  |
| Isaac Newton (wd:Q935)          |
| Ernst Mach (wd:Q93996)          |
| Fyodor Dostoyevsky (wd:Q991)    |

Albert Einstein was influenced by several people and ideas, including Mahatma Gandhi (wd:Q1001), George Bernard Shaw (wd:Q19185), Paul Valéry (wd:Q200639), Thomas Young (wd:Q25820), Karl Pearson (wd:Q310794), Riazuddin (wd:Q7322195), James Clerk Maxwell (wd:Q9095), Isaac Newton (wd:Q935), Ernst Mach (wd:Q93996), and Fyodor Dostoyevsky (wd:Q991), among others. The SPARQL query returns the Wikidata IRIs for all entities that influenced him.

[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 or what influenced albert einstein?

[Assistant]
Let's break down the question:

1. The main entity is "Albert Einstein".
2. The property of interest is "influenced by" (who or what influenced him).

First, I will search for the entity "Albert Einstein" in Wikidata to confirm its identifier.

[Tool]
Top 10 entity alternatives:
1. Albert Einstein (wd:Q937): German-born theoretical physicist (1879–1955), physicist
2. Albert Einstein (wd:Q21200226): Wikimedia permanent duplicate item
3. Albert Einstein (wd:Q13426745): 2013 studio album by Prodigy and The Alchemist
4. Albert Einstein (wd:Q2253683): train service
5. Albert Einstein (wd:Q20133967): human settlement in Mexico
6. Albert Einstein (wd:Q117327908): Bust of Albert Einstein at the Middle East Technical University
7. Albert Einstein (wd:Q55333079): 1989 television film directed by Georg Schiemann
8. Albert Einstein (wd:Q117354302): etching by Henrik Lund
9. Albert Einstein (wd:Q113663954)
10. Albert Einstein (wd:Q107448809): painting by Erich Büttner

[Assistant]
The correct entity for Albert Einstein is wd:Q937.

Next, I need to find the property in Wikidata that represents "influenced by" (who or what influenced him). I will search for properties related to "influenced by".

[Tool]
Top 10 property alternatives:
1. influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”
2. inspired by, also known as inspiration, source of inspiration (wd:P941 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): work, human, place or event which inspired this creative work or fictional entity
3. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
4. amended by, also known as updated by, revised by, modified by, corrected by, has addendum (wd:P2567 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): document is amended by specified other document
5. moved by (wd:P6939 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): a person who moves a motion as parliamentary procedure
6. innervated by (wd:P3189 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): nerves which innervate this anatomical structure
7. object of occurrence, also known as action applies to item, undergoer, target of action, target, patient (wd:P12912 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): specific object to which an occurrence or class of occurrences applies
8. afflicts, also known as affects, infects, condition endemic in (wd:P689 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): type of organism which a condition or disease afflicts (for an organ affected by a condition, use P927)
9. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): underlying cause, entity that ultimately resulted in this effect, follows
10. merged into, also known as absorbed in, acquired by, annexed to, bought by, dissolved into (wd:P7888 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): the subject was dissolved and merged into the object, that existed previously

[Assistant]
The most relevant property is "influenced by" (wd:P737).

Now, I will construct a SPARQL query to find all entities (people, ideas, etc.) that influenced Albert Einstein (wd:Q937) using the property "influenced by" (wd:P737). I will also try to get their labels for better readability, but will keep them optional as per the instructions.

[Tool]
Got 18 rows and 2 columns, showing the first 5 and last 5 rows below:
| influencer                      | influencerLabel          |
| ------------------------------- | ------------------------ |
| Mahatma Gandhi (wd:Q1001)       | Mahatma Gandhi (en)      |
| George Bernard Shaw (wd:Q19185) | George Bernard Shaw (en) |
| Paul Valéry (wd:Q200639)        | Paul Valéry (en)         |
| Thomas Young (wd:Q25820)        | Thomas Young (en)        |
| Karl Pearson (wd:Q310794)       | Karl Pearson (en)        |
| ...                             | ...                      |
| Riazuddin (wd:Q7322195)         | Riazuddin (en)           |
| James Clerk Maxwell (wd:Q9095)  | James Clerk Maxwell (en) |
| Isaac Newton (wd:Q935)          | Isaac Newton (en)        |
| Ernst Mach (wd:Q93996)          | Ernst Mach (en)          |
| Fyodor Dostoyevsky (wd:Q991)    | Fyodor Dostoyevsky (en)  |

[Tool] Stopped generation process


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?pm WHERE {
  wd:Q29 p:P6 ?statement .
  ?statement ps:P6 ?pm .
  OPTIONAL {
    ?statement pq:P580 ?start
  }
  OPTIONAL {
    ?statement pq:P582 ?end
  }
  FILTER ( ( ?start <= "2011-12-31" ^^ xsd:date || ! BOUND( ?start ) ) && ( ?end >= "2011-01-01" ^^ xsd:date || ! BOUND( ?end ) ) )
}

The prime ministers of Spain in 2011 were José Luis Rodríguez Zapatero (until December 21, 2011) and Mariano Rajoy (from December 21, 2011 onward).

[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 prime minister of spain 2011?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Spain".
2. We need to find the property for "prime minister".
3. We need to find the prime minister of Spain in the year 2011, so we need to filter by the time period.

First, let's search for the entity for "Spain".

[Tool]
Top 10 entity alternatives:
1. Spain, also known as Kingdom of Spain (wd:Q29): country in southwestern Europe with territories in Africa
2. Spain men's national football team, also known as La Furia, The Spanish Fury, The Red One, The Red Fury, The Fury (wd:Q42267): men's national association football team representing Spain
3. Second Spanish Republic, also known as Spain (wd:Q178038): political regime established in Spain between April 14, 1931 and April 1, 1939
4. New Spain, also known as Colonial Central America, Central America under Spain, Viceroyalty of New Spain, Spanish Mexico, Spanish Central America (wd:Q170603): viceroyalty of the Spanish Empire (1535-1821)
5. Spain under the Restoration, also known as Bourbon Restoration, Spain, Second Bourbon Restoration, Restoration, Restoration (Spain) (wd:Q1044536): name given to a period between 1874 (end of First Spanish Republ...econd Spanish Republic), and the state of Spain during that time
6. Kingdom of Spain (1820-1823), also known as Kingdom of Spain, Spain, Trienio Liberal (wd:Q238809): 1820–1823 Spanish political period
7. Spain under Joseph Bonaparte, also known as Kingdom of Spain, Napoleonic Spain, Spain (wd:Q1709185): Napoleonic client state (1808–1813)
8. Sexenio Democrático, also known as Kingdom of Spain, Spain (wd:Q12411956): 1868–1874 period of fu under a provisional government
9. Ominous Decade, also known as Kingdom of Spain, second restoration of absolutism, Spain (wd:Q2378204): period in the history of Spain, corresponding to the second rest...reign of Fernando VII from August 31, 1823 to September 29, 1833
10. Hispanic Monarchy, also known as Spains, Hispanic Crown, Spain, Kingdom of Spains, Crown of Spain (wd:Q766543): (1479-1716) set of territories distributed throughout the world,...monarch and corresponding to the period of the House of Habsburg

[Assistant]
The main entity for Spain as a country is wd:Q29.

Next, let's search for the property corresponding to "prime minister".

[Tool]
Top 10 property alternatives:
1. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
2. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): political office that is fulfilled by the head of the government of this item
3. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): political office that is fulfilled by the head of state of this item
4. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): official with the highest formal authority in a country/state, director / manager, chairperson
5. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): position of the head of this item
6. member of cabinet, also known as cabinet, minister of cabinet (wd:P5054 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): qualifier for "position held" (P39) to indicate the cabinet to which a minister belongs
7. rector, also known as chancellor, university president, Rector (academia), president (wd:P1075 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): senior official in an educational institution., director / manager, chairperson
8. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): presiding member of an organization, group or body, director / manager, significant person
9. legislative body, also known as aboriginal council, Zila, Tehsil, rural council, representative body (wd:P194 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): legislative body governing this entity; political institution wi...ted representatives, such as a parliament/legislature or council
10. party chief representative, also known as communist party chief, Communist Party Secretary, party chief, party secretary (wd:P210 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): chief representative of a party in an institution or an administrative unit (use qualifier to identify the party)

[Assistant]
The property "head of government" (wdt:P6) is the correct one for "prime minister".

Now, we need to find who was the head of government (prime minister) of Spain (wd:Q29) in 2011. This requires checking the value of wdt:P6 for Spain and filtering by the time period (2011).

Let's check how the "head of government" property is used for Spain, to see if there are qualifiers for the time period.

[Tool]
Got 1 row and 3 columns:
| subject        | property                    | object      |
| -------------- | --------------------------- | ----------- |
| Spain (wd:Q29) | head of government (wdt:P6) | wd:Q6070218 |

[Tool]
Got 7 rows and 3 columns:
| subject        | property                  | object                                     |
| -------------- | ------------------------- | ------------------------------------------ |
| Spain (wd:Q29) | head of government (p:P6) | s:Q29-3b1785e5-49e0-549a-ab39-6ae3717d3be0 |
| Spain (wd:Q29) | head of government (p:P6) | s:Q29-6695193f-4a79-895a-a75c-3480275e9af2 |
| Spain (wd:Q29) | head of government (p:P6) | s:Q29-6fa280d2-49dc-cba3-92a7-c32a9f11daee |
| Spain (wd:Q29) | head of government (p:P6) | s:Q29-c0f6f25e-4e8f-fd56-705b-4369b0f601cd |
| Spain (wd:Q29) | head of government (p:P6) | s:q29-d18ea56a-4204-1d75-d08b-af972eded245 |
| Spain (wd:Q29) | head of government (p:P6) | s:Q29-d5fa4e39-4174-6c9a-791b-7d02ae1cd059 |
| Spain (wd:Q29) | head of government (p:P6) | s:Q29-f8085aea-4c19-57f7-0d37-5b1f21338ebe |

[Tool]
Got 8 rows and 3 columns:
| subject                                    | property                             | object                              |
| ------------------------------------------ | ------------------------------------ | ----------------------------------- |
| s:Q29-3b1785e5-49e0-549a-ab39-6ae3717d3be0 | start time (pq:P580)                 | 2018-06-02T00:00:00Z (xsd:dateTime) |
| s:Q29-3b1785e5-49e0-549a-ab39-6ae3717d3be0 | replaces (pq:P1365)                  | Mariano Rajoy (wd:Q10819)           |
| s:Q29-3b1785e5-49e0-549a-ab39-6ae3717d3be0 | head of government (ps:P6)           | wd:Q6070218                         |
| s:Q29-3b1785e5-49e0-549a-ab39-6ae3717d3be0 | reason for preferred rank (pq:P7452) | wd:Q71533355                        |
| s:Q29-3b1785e5-49e0-549a-ab39-6ae3717d3be0 | wikibase:rank                        | wikibase:PreferredRank              |
| s:Q29-3b1785e5-49e0-549a-ab39-6ae3717d3be0 | rdf:type                             | wikibase:BestRank                   |
| s:Q29-3b1785e5-49e0-549a-ab39-6ae3717d3be0 | start time (pqv:P580)                | v:6354e95aa4f580ddde08c80ee608f1df  |
| s:Q29-3b1785e5-49e0-549a-ab39-6ae3717d3be0 | rdf:type                             | wikibase:Statement                  |

[Tool]
Got 9 rows and 3 columns:
| subject                                    | property                   | object                              |
| ------------------------------------------ | -------------------------- | ----------------------------------- |
| s:Q29-6695193f-4a79-895a-a75c-3480275e9af2 | start time (pq:P580)       | 1996-05-04T00:00:00Z (xsd:dateTime) |
| s:Q29-6695193f-4a79-895a-a75c-3480275e9af2 | end time (pq:P582)         | 2004-04-16T00:00:00Z (xsd:dateTime) |
| s:Q29-6695193f-4a79-895a-a75c-3480275e9af2 | replaced by (pq:P1366)     | wd:Q41395                           |
| s:Q29-6695193f-4a79-895a-a75c-3480275e9af2 | replaces (pq:P1365)        | Felipe González (wd:Q156799)        |
| s:Q29-6695193f-4a79-895a-a75c-3480275e9af2 | head of government (ps:P6) | José María Aznar (wd:Q55637)        |
| s:Q29-6695193f-4a79-895a-a75c-3480275e9af2 | wikibase:rank              | wikibase:NormalRank                 |
| s:Q29-6695193f-4a79-895a-a75c-3480275e9af2 | rdf:type                   | wikibase:Statement                  |
| s:Q29-6695193f-4a79-895a-a75c-3480275e9af2 | start time (pqv:P580)      | v:4c9908707f659c30b9ff0268f22f1f36  |
| s:Q29-6695193f-4a79-895a-a75c-3480275e9af2 | end time (pqv:P582)        | v:8287da010061f83c6887bcf9855152d2  |

[Tool]
Got 8 rows and 3 columns:
| subject                                    | property                   | object                              |
| ------------------------------------------ | -------------------------- | ----------------------------------- |
| s:Q29-6fa280d2-49dc-cba3-92a7-c32a9f11daee | start time (pq:P580)       | 1976-07-03T00:00:00Z (xsd:dateTime) |
| s:Q29-6fa280d2-49dc-cba3-92a7-c32a9f11daee | end time (pq:P582)         | 1981-02-25T00:00:00Z (xsd:dateTime) |
| s:Q29-6fa280d2-49dc-cba3-92a7-c32a9f11daee | replaced by (pq:P1366)     | Leopoldo Calvo-Sotelo (wd:Q273129)  |
| s:Q29-6fa280d2-49dc-cba3-92a7-c32a9f11daee | head of government (ps:P6) | Adolfo Suárez (wd:Q214367)          |
| s:Q29-6fa280d2-49dc-cba3-92a7-c32a9f11daee | wikibase:rank              | wikibase:NormalRank                 |
| s:Q29-6fa280d2-49dc-cba3-92a7-c32a9f11daee | rdf:type                   | wikibase:Statement                  |
| s:Q29-6fa280d2-49dc-cba3-92a7-c32a9f11daee | start time (pqv:P580)      | v:3d3e1526b8a70f276c1baddd8e4673e8  |
| s:Q29-6fa280d2-49dc-cba3-92a7-c32a9f11daee | end time (pqv:P582)        | v:5832eed8618e63c4afc73ae396076ee4  |

[Tool]
Got 9 rows and 3 columns:
| subject                                    | property                   | object                              |
| ------------------------------------------ | -------------------------- | ----------------------------------- |
| s:Q29-c0f6f25e-4e8f-fd56-705b-4369b0f601cd | start time (pq:P580)       | 2004-04-16T00:00:00Z (xsd:dateTime) |
| s:Q29-c0f6f25e-4e8f-fd56-705b-4369b0f601cd | end time (pq:P582)         | 2011-12-21T00:00:00Z (xsd:dateTime) |
| s:Q29-c0f6f25e-4e8f-fd56-705b-4369b0f601cd | replaced by (pq:P1366)     | Mariano Rajoy (wd:Q10819)           |
| s:Q29-c0f6f25e-4e8f-fd56-705b-4369b0f601cd | replaces (pq:P1365)        | José María Aznar (wd:Q55637)        |
| s:Q29-c0f6f25e-4e8f-fd56-705b-4369b0f601cd | head of government (ps:P6) | wd:Q41395                           |
| s:Q29-c0f6f25e-4e8f-fd56-705b-4369b0f601cd | wikibase:rank              | wikibase:NormalRank                 |
| s:Q29-c0f6f25e-4e8f-fd56-705b-4369b0f601cd | rdf:type                   | wikibase:Statement                  |
| s:Q29-c0f6f25e-4e8f-fd56-705b-4369b0f601cd | start time (pqv:P580)      | v:8287da010061f83c6887bcf9855152d2  |
| s:Q29-c0f6f25e-4e8f-fd56-705b-4369b0f601cd | end time (pqv:P582)        | v:b7344cab9d235f4d50f4b85cb0269cc8  |

[Tool] Got no rows and 3 columns

[Tool]
Got 9 rows and 3 columns:
| subject                                    | property                   | object                              |
| ------------------------------------------ | -------------------------- | ----------------------------------- |
| s:Q29-d5fa4e39-4174-6c9a-791b-7d02ae1cd059 | start time (pq:P580)       | 1982-12-01T00:00:00Z (xsd:dateTime) |
| s:Q29-d5fa4e39-4174-6c9a-791b-7d02ae1cd059 | end time (pq:P582)         | 1996-05-04T00:00:00Z (xsd:dateTime) |
| s:Q29-d5fa4e39-4174-6c9a-791b-7d02ae1cd059 | replaced by (pq:P1366)     | José María Aznar (wd:Q55637)        |
| s:Q29-d5fa4e39-4174-6c9a-791b-7d02ae1cd059 | replaces (pq:P1365)        | Leopoldo Calvo-Sotelo (wd:Q273129)  |
| s:Q29-d5fa4e39-4174-6c9a-791b-7d02ae1cd059 | head of government (ps:P6) | Felipe González (wd:Q156799)        |
| s:Q29-d5fa4e39-4174-6c9a-791b-7d02ae1cd059 | wikibase:rank              | wikibase:NormalRank                 |
| s:Q29-d5fa4e39-4174-6c9a-791b-7d02ae1cd059 | rdf:type                   | wikibase:Statement                  |
| s:Q29-d5fa4e39-4174-6c9a-791b-7d02ae1cd059 | start time (pqv:P580)      | v:08ba32eb594c70e774e3301d595316d4  |
| s:Q29-d5fa4e39-4174-6c9a-791b-7d02ae1cd059 | end time (pqv:P582)        | v:4c9908707f659c30b9ff0268f22f1f36  |

[Tool]
Got 9 rows and 3 columns:
| subject                                    | property                   | object                              |
| ------------------------------------------ | -------------------------- | ----------------------------------- |
| s:Q29-f8085aea-4c19-57f7-0d37-5b1f21338ebe | start time (pq:P580)       | 1981-02-25T00:00:00Z (xsd:dateTime) |
| s:Q29-f8085aea-4c19-57f7-0d37-5b1f21338ebe | end time (pq:P582)         | 1982-12-01T00:00:00Z (xsd:dateTime) |
| s:Q29-f8085aea-4c19-57f7-0d37-5b1f21338ebe | replaced by (pq:P1366)     | Felipe González (wd:Q156799)        |
| s:Q29-f8085aea-4c19-57f7-0d37-5b1f21338ebe | replaces (pq:P1365)        | Adolfo Suárez (wd:Q214367)          |
| s:Q29-f8085aea-4c19-57f7-0d37-5b1f21338ebe | head of government (ps:P6) | Leopoldo Calvo-Sotelo (wd:Q273129)  |
| s:Q29-f8085aea-4c19-57f7-0d37-5b1f21338ebe | wikibase:rank              | wikibase:NormalRank                 |
| s:Q29-f8085aea-4c19-57f7-0d37-5b1f21338ebe | rdf:type                   | wikibase:Statement                  |
| s:Q29-f8085aea-4c19-57f7-0d37-5b1f21338ebe | start time (pqv:P580)      | v:5832eed8618e63c4afc73ae396076ee4  |
| s:Q29-f8085aea-4c19-57f7-0d37-5b1f21338ebe | end time (pqv:P582)        | v:08ba32eb594c70e774e3301d595316d4  |

[Tool]
Got 2 rows and 2 columns:
| pm                        | pmLabel                           |
| ------------------------- | --------------------------------- |
| wd:Q41395                 | José Luis Rodríguez Zapatero (en) |
| Mariano Rajoy (wd:Q10819) | Mariano Rajoy (en)                |

[Tool]
Got 2 rows and 4 columns:
| pm                        | pmLabel                           | start                               | end                                 |
| ------------------------- | --------------------------------- | ----------------------------------- | ----------------------------------- |
| wd:Q41395                 | José Luis Rodríguez Zapatero (en) | 2004-04-16T00:00:00Z (xsd:dateTime) | 2011-12-21T00:00:00Z (xsd:dateTime) |
| Mariano Rajoy (wd:Q10819) | Mariano Rajoy (en)                | 2011-12-21T00:00:00Z (xsd:dateTime) | 2018-06-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?placeOfDeath WHERE {
  wd:Q1317 wdt:P20 ?placeOfDeath .
}

Osama bin Laden was found and killed at Osama bin Laden's compound in Abbottabad (wd:Q3065522).

[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] where was bin laden found and killed?

[Assistant]
Let's break down the question:

1. The user is asking about the location where Osama bin Laden was found and killed.
2. We need to identify the correct entity for Osama bin Laden and the property that relates to his place of death or the location of the event where he was killed.

First, I will search for the entity "bin laden" to get the correct Wikidata entity for Osama bin Laden.

[Tool]
Top 10 entity alternatives:
1. Bin Laden (wd:Q4913781): single by Mos Def, DJ Green Lantern, Immortal Technique
2. Osama bin Laden, also known as Usama bin Laden, Usāmah bin Muḥammad bin ‘Awaḍ bin Lādin, Osama bin Mohammed bin Awad bin Laden, Crankshaft (wd:Q1317): Saudi terrorist and co-founder of al-Qaeda (1957–2011), businessperson, civil engineer, terrorist, jihadist
3. Hamza bin Laden (wd:Q3126626): key member of al-Qaeda, jihadist
4. Osama bin Laden (wd:Q10612826): rogue bull elephant in India
5. Salem bin Laden, also known as Salem bin Mohammed bin Awad bin Laden (wd:Q1139461): Saudi Arabian businessman (1946-1988), entrepreneur
6. Bakr bin Laden (wd:Q428820): Saudi businessman, entrepreneur
7. Saad bin Laden (wd:Q5576276): Al Qaeda militant, mujahid
8. Najwa bin Laden, also known as Najwa Ghanem, Najwa Ghanhem (wd:Q6960065): first wife and first cousin of Osama bin Laden
9. Carmen Binladin, also known as Carmen bin Ladin, Carmen bin Laden (wd:Q118980): Member of the Bin Laden family, writer
10. Omar bin Laden (wd:Q3196656): one of the sons of Osama bin Laden, general contractor, contractor, merchant

[Assistant]
The correct entity for Osama bin Laden is wd:Q1317.

Next, I need to find the property that indicates the place where he was killed. This could be "place of death" or a property related to the location of a significant event (such as "killed at" or "location of event"). I will search for properties related to "death" for Osama bin Laden.

[Tool]
Top 10 property alternatives:
1. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as p/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
2. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
3. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as wdt/p): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
4. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as wdt/p): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
5. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as wdt/p): person or organization who killed the subject, significant person
6. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as wdt/p): significant or notable events associated with the subject
7. conflict, also known as war, theatre (military), theater (military), participated in conflict, military conflict (wd:P607 as wdt/p): battles, wars or other military engagements in which the person or item participated, participant in
8. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as wdt/p): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
9. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as wdt/p): religion of a person, organization or religious building, or associated with this subject
10. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as wdt/p): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)

No other items found

[Assistant]
The property "place of death" (wdt:P20) is the most relevant for finding where Osama bin Laden was found and killed.

Now, I will write a SPARQL query to retrieve the place of death for Osama bin Laden (wd:Q1317), and also try to get a human-readable label for the place.

[Tool]
Got 1 row and 2 columns:
| placeOfDeath                                           | placeOfDeathLabel                             |
| ------------------------------------------------------ | --------------------------------------------- |
| Osama bin Laden's compound in Abbottabad (wd:Q3065522) | Osama bin Laden's compound in Abbottabad (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?movie WHERE {
  ?movie wdt:P161 wd:Q36767 .
}

Got 39 rows and 1 column, showing the first 5 and last 5 rows below:
| movie                                                  |
| ------------------------------------------------------ |
| Harry Potter and the Goblet of Fire (wd:Q102225)       |
| Harry Potter and the Order of the Phoenix (wd:Q102235) |
| Vanity Fair (wd:Q1046841)                              |
| The Batman: Part II (wd:Q111187129)                    |
| Mickey 17 (wd:Q112977213)                              |
| ...                                                    |
| Remember Me (wd:Q632680)                               |
| Tenet (wd:Q63985561)                                   |
| The Twilight Saga (wd:Q652599)                         |
| Dark Kingdom: The Dragon King (wd:Q701947)             |
| Cosmopolis (wd:Q737055)                                |

Robert Pattinson has acted in the following movies (examples): Harry Potter and the Goblet of Fire, Harry Potter and the Order of the Phoenix, Vanity Fair, The Batman: Part II, Mickey 17, Remember Me, Tenet, The Twilight Saga, Dark Kingdom: The Dragon King, Cosmopolis, and more. The query returns the full list as Wikidata IRIs.

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

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

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

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

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

[User] what movies have robert pattinson in them?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Robert Pattinson" in Wikidata.
2. We need to find the property that links an actor to movies they have acted in.
3. We need to construct a query to find all movies featuring Robert Pattinson.

First, I'll search for the Wikidata entity for "Robert Pattinson".

[Tool]
Top 10 entity alternatives:
1. Robert Pattinson, also known as Robert Douglas Thomas Pattinson (wd:Q36767): British actor and model, television actor, film producer, stage actor, film actor, composer, singer, actor, model
2. Robert Pattinson, also known as Sir Robert Pattinson (wd:Q7528828): British politician (1872-1954), politician
3. Robert Kyle Pattinson (wd:Q76133988): Peerage person ID=554665
4. Robert Clive Pattinson (wd:Q79322762): gynecologist
5. Sir Robert Pattinson Academy (wd:Q15277935): school in Lincolnshire, UK
6. Sir Robert Pattinson Academy (wd:Q122684378): single academy trust
7. Robert Pattinson and Dracula are distant relatives (wd:Q17707978): Wikinews article
8. Robert, also known as Robert of Clermont (wd:Q266309): Count of Clermont-en-Beauvaisis
9. Robert (wd:Q4927937): male given name
10. Prince Robert, Duke of Chartres, also known as Robert (wd:Q502885): Union Army soldier (1840–1910), military personnel

[Assistant]
The correct entity for the actor Robert Pattinson is wd:Q36767.

Next, I need to find the property that links an actor to the movies they have acted in. This is typically a property like "cast member" or "actor". I'll search for properties related to "cast" or "actor".

[Tool]
Top 10 property alternatives:
1. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
2. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
3. used by, also known as armiger, user, played by, of (wd:P1535 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): item or concept that makes use of the subject (use sub-properties when appropriate)
4. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): object depicting this subject (object being creative works such as books, films, paintings)
5. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
6. agent of action, also known as being done by, initiator, initiated by, done by, doer (wd:P12995 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): particular item that initiates this action or class of actions
7. employees, also known as workers, staff, personnel, number of employees, employee count (wd:P1128 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): total number of employees of a company at a given "point in time...not deprecated rank). Add data for recent years, don't overwrite
8. character role, also known as role, plays, performer of, as, acting role (wd:P453 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
9. class of agent(s) of action, also known as agent class of action, done by agent(s) of class, class of doer(s), agent selectional restriction, agent selectional preference (wd:P12994 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): class of items that may initiate this action or class of actions
10. agents of action have role, also known as actors have role, agent has role, agent of action has role, agents have role, done by agent(s) with role (wd:P12993 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): role that agents of this action take on in the context of this action

[Assistant]
The most relevant property is "cast member" (wdt:P161), which links a movie to its actors. To find all movies that Robert Pattinson has acted in, I need to find all items where Robert Pattinson (wd:Q36767) is a value for the "cast member" property.

Now, I will construct a SPARQL query to find all such movies, returning their IRIs and optionally their labels.

[Tool]
Got 39 rows and 2 columns, showing the first 5 and last 5 rows below:
| movie                                                  | movieLabel                                     |
| ------------------------------------------------------ | ---------------------------------------------- |
| Harry Potter and the Goblet of Fire (wd:Q102225)       | Harry Potter and the Goblet of Fire (en)       |
| Harry Potter and the Order of the Phoenix (wd:Q102235) | Harry Potter and the Order of the Phoenix (en) |
| Vanity Fair (wd:Q1046841)                              | Vanity Fair (en)                               |
| The Batman: Part II (wd:Q111187129)                    | The Batman — Part II (en)                      |
| Mickey 17 (wd:Q112977213)                              | Mickey 17 (en)                                 |
| ...                                                    | ...                                            |
| Remember Me (wd:Q632680)                               | Remember Me (en)                               |
| Tenet (wd:Q63985561)                                   | Tenet (en)                                     |
| The Twilight Saga (wd:Q652599)                         | The Twilight Saga (en)                         |
| Dark Kingdom: The Dragon King (wd:Q701947)             | Dark Kingdom: The Dragon King (en)             |
| Cosmopolis (wd:Q737055)                                | Cosmopolis (en)                                |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language WHERE {
  wd:Q889 wdt:P37 ?language .
}

Wikidata lists several official languages for Afghanistan. Among them, Dari (Persian) and Pashto are generally considered the most widely spoken, with Dari typically regarded as the language spoken by the most people.

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

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

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

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

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

[User] what language do most people speak in afghanistan?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Afghanistan".
2. We need to find the property that relates a country to its most spoken language (likely "official language", "language spoken", or "most spoken language").
3. We need to determine which language is spoken by most people in Afghanistan.

First, I'll search for the entity "Afghanistan" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Afghanistan, also known as Afghaunistaun, Afghaunistan, Afghanisthan, Affghaunistan, Afghania (wd:Q889): country in Central and South Asia
2. Afghanistan, also known as Affghanistan, Affghanisthan, Afghaunistaun, Affghaunistan, Afghania (wd:Q889): country in Central and South Asia
3. Kingdom of Afghanistan, also known as Afghanistan, Afghan Kingdom (wd:Q1138904): kingdom in Central Asia between 1926–1973
4. Afghanistan (wd:Q50172288): scientific article published in May 1983
5. Afghanistan (wd:Q47409831): scientific article published in July 1986
6. Afghanistan (wd:Q27715795): journal
7. Afghanistan (wd:Q124440154): journal article from 'Ethnohistory' published in 1973
8. Afghanistan (wd:Q119628112): painting by James Hart Dyke (b.1966), The Black Watch Castle & Museum
9. Afghanistan (wd:Q119441439): painting by Wilhelmina Barns-Graham (1912–2004), Wilhelmina Barns-Graham Trust
10. Afghanistan (wd:Q103889244): encyclopedia article

[Assistant]
The main entity for Afghanistan as a country is wd:Q889.

Next, I need to find the property that links a country to the language most people speak. This could be "official language", "language spoken", or something similar. I'll search for properties related to "language" for countries.

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt/p): language designated as official by this item, language used
2. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as p/wdt): language widely used (spoken or written) in this place or at this event or organisation
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdt/p): label for the items in their official language  or their original language, name
5. culture, also known as archaeological culture, civilisation, civilization (wd:P2596 as p/wdt): human culture or people (or several cultures) associated with this item, part of
6. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
7. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
9. Libraries Australia ID, also known as CNLKIN, NLA Kinetica Service identifier, NLA (Australia) identifier, NLA (Australia) ID, Libraries Australia identifier (wd:P409 as wdt/p): identifier issued by the National Library of Australia (see also...F component. Format: 1-12 digits, removing leading zero-padding.
10. Unicode character, also known as emoji, emote, pictograph, Unicode symbol (wd:P487 as p/wdt): Unicode character representing the item (only if this is not a c...acter or a compatiblity character: in that case, use only P4213)

No other items found

[Assistant]
The most relevant properties are:
- "official language" (wdt:P37): language designated as official by this item.
- "language used" (wdt:P2936): language widely used (spoken or written) in this place.

However, the question asks for the language most people speak, which may not always be the official language. Still, in many cases, the official language is the most spoken language. I'll check both properties, starting with "official language" for Afghanistan.

[Tool]
Got 9 rows and 3 columns:
| subject               | property                    | object                 |
| --------------------- | --------------------------- | ---------------------- |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Arabic (wd:Q13955)     |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Pashto (wd:Q58680)     |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Uzbek (wd:Q9264)       |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Turkmen (wd:Q9267)     |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Dari (wd:Q178440)      |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Balochi (wd:Q33049)    |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Nuristani (wd:Q161804) |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Pamir (wd:Q1772864)    |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Pashayi (wd:Q36670)    |

[Assistant]
Afghanistan has several official languages: Arabic, Pashto, Uzbek, Turkmen, Dari, Balochi, Nuristani, Pamir, and Pashayi. However, the question asks for the language spoken by most people, not just official languages.

Next, I'll check the "language used" (wdt:P2936) property for Afghanistan to see if it provides more information about the most widely spoken language.

[Tool]
Got 37 rows and 3 columns, showing the first 10 rows below:
| subject               | property                  | object                |
| --------------------- | ------------------------- | --------------------- |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Turkmen (wd:Q9267)    |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Dari (wd:Q178440)     |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Brahui (wd:Q33202)    |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Wakhi (wd:Q34208)     |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Shughni (wd:Q34053)   |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Moghol (wd:Q13336)    |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Hazaragi (wd:Q33398)  |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Ashkun (wd:Q29379)    |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Munji (wd:Q33639)     |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Parachi (wd:Q2640637) |
| ...                   | ...                       | ...                   |

[Assistant]
The "language used" property lists many languages spoken in Afghanistan, but it does not specify which is the most widely spoken.

To answer the question precisely, I need to find if Wikidata has a property for "most spoken language" or "majority language" for a country. I'll search for properties related to "most spoken language".

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): language designated as official by this item, language used
2. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): language(s) that a person or a people speaks, writes or signs, including the native language(s)
3. number of speakers, writers, or signers, also known as signers of a language, speakers of language, writers of a language (wd:P1098 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): number of people who use a language
4. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
5. programmed in, also known as language, programming language, written in (wd:P277 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): the programming language(s) in which the software is developed
6. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): language widely used (spoken or written) in this place or at this event or organisation
7. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): language or languages a person has learned from early childhood, languages spoken, written or signed
8. language style, also known as manner, term register, obsolete, register, sense register (wd:P6191 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): to denote of the way a sense of a word is used, e.g., slang, vulgarism, babytalk, colloquialism, etc.
9. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): language status identifier by Ethnologue.com using EGIDS scale
10. population by native language, also known as native language population (wd:P12712 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): native language population of a place, population

[Assistant]
The property "population by native language" (wd:P12712) seems to be the most relevant for identifying the most spoken language in a country. It should provide the population for each native language in Afghanistan, allowing us to determine which language is spoken by the most people.

I'll now list the values for "population by native language" (wd:P12712) for Afghanistan (wd:Q889).

[Tool] Got no rows and 3 columns

[Assistant]
It appears that Wikidata does not have direct data for "population by native language" for Afghanistan. Since that property is not populated, I'll try another approach: checking which language in Afghanistan has the highest number of speakers using the "number of speakers" property (wd:P1098) for each language spoken in Afghanistan.

I'll first get the list of languages spoken in Afghanistan, then check the number of speakers for each. Let's start by listing the languages used in Afghanistan again, then look up the number of speakers for each.

[Tool]
Got 37 rows and 3 columns, showing the first 10 rows below:
| subject               | property                  | object                |
| --------------------- | ------------------------- | --------------------- |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Turkmen (wd:Q9267)    |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Dari (wd:Q178440)     |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Brahui (wd:Q33202)    |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Wakhi (wd:Q34208)     |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Shughni (wd:Q34053)   |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Moghol (wd:Q13336)    |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Hazaragi (wd:Q33398)  |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Ashkun (wd:Q29379)    |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Munji (wd:Q33639)     |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Parachi (wd:Q2640637) |
| ...                   | ...                       | ...                   |

[Assistant]
I now have a list of languages spoken in Afghanistan, such as Dari (wd:Q178440), Pashto (wd:Q58680), Uzbek (wd:Q9264), Turkmen (wd:Q9267), etc.

To determine which language is spoken by the most people, I'll query the "number of speakers" (wdt:P1098) for each of these languages, specifically in Afghanistan. I'll write a SPARQL query to get the number of speakers for each language spoken in Afghanistan, filtering for those where the number of speakers is specified for Afghanistan.

[Tool]
Got 37 rows and 3 columns, showing the first 5 and last 5 rows below:
| language                | languageLabel   | speakers |
| ----------------------- | --------------- | -------- |
| Sanglechi (wd:Q3472220) | Sanglechi (en)  |          |
| Ishkashimi (wd:Q33419)  | Ishkashimi (en) |          |
| Munji (wd:Q33639)       | Munji (en)      |          |
| Shumashti (wd:Q33777)   | Shumashti (en)  |          |
| Gawar-Bati (wd:Q33894)  | Gawar-Bati (en) |          |
| ...                     | ...             | ...      |
| Parachi (wd:Q2640637)   | Parachi (en)    |          |
| Aimaq (wd:Q27898)       | Aimaq (en)      |          |
| Ashkun (wd:Q29379)      | Ashkun (en)     |          |
| Wasi-wari (wd:Q32689)   | Wasi-wari (en)  |          |
| Brahui (wd:Q33202)      | Brahui (en)     |          |

[Assistant]
The query did not return any values for the number of speakers of each language in Afghanistan. This means Wikidata does not have structured data for the number of speakers of each language specifically in Afghanistan.

Given this, the best available structured data is the list of official languages, and general knowledge indicates that Dari (Persian) and Pashto are the two most widely spoken languages in Afghanistan, with Dari generally considered the most widely spoken.

I will provide a SPARQL query that returns the official languages of Afghanistan, as this is the closest available structured answer in Wikidata.

[Tool] Stopped generation process