PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?team ?teamLabel WHERE {
  wd:Q296403 p:P54 ?statement .
  ?statement ps:P54 ?team .
  FILTER NOT EXISTS {
    ?statement pq:P582 ?end .
  }
  OPTIONAL {
    ?team rdfs:label ?teamLabel FILTER ( LANG( ?teamLabel ) = "en" )
  }
}

Lamar Odom is currently playing for the team Saski Baskonia.

[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 start by looking at some examples.

[Tool]
Example 1:
Question:
who is chris cooley married to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q2964688 wdt:P26 ?x .
}

Using entities:
Chris Cooley, also known as Christopher Ken Cooley (wd:Q2964688): player of American football, American football player

Using properties:
spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative

Example 2:
Question:
when did the bali bombings occur?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q86584 wdt:P585 ?x .
}

Using entities:
2002 Bali bombings, also known as 2002 Bali terrorist bombing, 2002 Bali bombings event (wd:Q86584): terrorist attack in Indonesia

Using properties:
point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)

Example 3:
Question:
what happened to umaga wwe?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q298315 wdt:P509 ?x .
}

Using entities:
Umaga, also known as Eddie Fatu, Edward Smith Fatu (wd:Q298315): American professional wrestler, professional wrestler

Using properties:
cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide

[Assistant]
The question is about the current team Lamar Odom is playing for this year. We need to identify the entity for Lamar Odom and find a property that relates to the team or club he is playing for, preferably with a qualifier or statement about the time (this year).

Step 1: Search for the entity "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 entity for Lamar Odom is wd:Q296403. Now, let's find properties related to the team or club he is playing for. We can search for properties related to "team" or "club" for this entity.

[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 p/wdt): 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 p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
6. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
7. 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 p/wdt): 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 p/wdt): 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 most relevant to find the team Lamar Odom is playing for. Now, we need to find the team he is currently playing for this year. We should check the values of the property "member of sports team" for Lamar Odom and see if there is a qualifier for the time (this year).

[Tool]
Got 6 rows and 4 columns:
| team                                             | teamLabel                               | start                               | end                                 |
| ------------------------------------------------ | --------------------------------------- | ----------------------------------- | ----------------------------------- |
| Los Angeles Lakers (wd:Q121783)                  | Los Angeles Lakers (en)                 | 2004-01-01T00:00:00Z (xsd:dateTime) | 2011-01-01T00:00:00Z (xsd:dateTime) |
| Dallas Mavericks (wd:Q132893)                    | Dallas Mavericks (en)                   | 2011-01-01T00:00:00Z (xsd:dateTime) | 2012-01-01T00:00:00Z (xsd:dateTime) |
| Miami Heat (wd:Q169138)                          | Miami Heat (en)                         | 2003-01-01T00:00:00Z (xsd:dateTime) | 2004-01-01T00:00:00Z (xsd:dateTime) |
| Saski Baskonia (wd:Q54927)                       | Saski Baskonia (en)                     |                                     |                                     |
| Rhode Island Rams men's basketball (wd:Q7320948) | Rhode Island Rams men's basketball (en) | 1998-01-01T00:00:00Z (xsd:dateTime) | 1999-01-01T00:00:00Z (xsd:dateTime) |
| Los Angeles Clippers (wd:Q976396)                | Los Angeles Clippers (en)               | 2012-01-01T00:00:00Z (xsd:dateTime) | 2013-01-01T00:00:00Z (xsd:dateTime) |

[Assistant]
Lamar Odom has played for several teams in the past, but none of the listed teams have a time period that includes the current year (2024). The latest team he played for according to the data is the Los Angeles Clippers, ending in 2013. There is no current team listed for this year.

I will now check if there is any recent team or current team information for Lamar Odom that might not be captured in the "member of sports team" property but could be found under other properties or statements. I will search for properties related to "current team" or "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 p/wdt): position or specialism of a player on a team
3. drafted by (wd:P647 as p/wdt): which team the player was drafted by
4. 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
5. Eurobasket.com player ID, also known as Eurobasket.com ID, eurobasket.com identifier (wd:P3527 as p/wdt): ID for a basketball player at Eurobasket.com
6. ACB.com player ID, also known as ACB.com ID (wd:P3525 as p/wdt): ID for a basketball player at ACB.com
7. Sports Reference college basketball player ID, also known as Basketball-Reference.com NCAA player ID, NCAA player Basketball-Reference.com, Sports Reference college basketball player ID, Sports-Reference.com college basketball player ID, SR CBB player ID (wd:P3696 as p/wdt): identifier for a NCAA Division I college basketball player on the Sports-Reference.com college basketball website
8. FIBA.com player ID (archived), also known as FIBA.com player ID, FIBA ID, FIBA identifier, FIBA player ID (wd:P3542 as p/wdt): identifier for a basketball player at archive.FIBA.com
9. FIBA.basketball player ID, also known as FIBA.basketball ID, FIBA player ID, FIBA identifier, FIBA ID (wd:P12338 as p/wdt): identifier for a basketball player at www.FIBA.basketball
10. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as p/wdt): country a person or a team represents when playing a sport, country

No other items found

[Assistant]
There is no separate property explicitly indicating the "current team" for Lamar Odom other than "member of sports team" (wdt:P54). The previous query showed no team for the current year.

I will now check if there is any recent statement or qualifier indicating the current team or the year 2024 for Lamar Odom in the "member of sports team" property. I will look for any qualifiers with the year 2024 or similar.

[Tool]
Got 1 row and 4 columns:
| team                       | teamLabel           | start | end |
| -------------------------- | ------------------- | ----- | --- |
| Saski Baskonia (wd:Q54927) | Saski Baskonia (en) |       |     |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?college ?collegeLabel WHERE {
  wd:Q6759529 wdt:P69 ?college .
  ?college wdt:P31 / wdt:P279 * wd:Q38723 .
  OPTIONAL {
    ?college rdfs:label ?collegeLabel FILTER ( LANG( ?collegeLabel ) = "en" )
  }
}

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

Margaret Hoover went to 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 start by looking at some examples.

[Tool]
Example 1:
Question:
where did bob dylan live?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q392 wdt:P551 ?x .
}

Using entities:
Bob Dylan, also known as Robert Milkwood Thomas, Robert Dylan né Robert Allen Zimmerman, Robert Zimmerman, Robert Dylan, Robert Dylan (born Robert Allen Zimmerman) (wd:Q392): American singer-songwriter (born 1941), radio personality, record producer, autobiographer, film director, screenwriter, disc jockey, film actor, songwriter, guitarist, lyricist, designer, musician, composer, painter, writer, singer, actor, poet

Using properties:
residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as wdt): the place where the person is or has been, resident, location

Example 2:
Question:
what language do people speak in iceland?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q189 wdt:P37 ?x .
}

Using entities:
Iceland, also known as Republic of Iceland, ISL (wd:Q189): Nordic island country in the North Atlantic Ocean

Using properties:
official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt): language designated as official by this item, language used

Example 3:
Question:
where did pauley perrette go to college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q231815 wdt:P69 ?x .
  ?x wdt:P31 / wdt:P279 * wd:Q38723 .
}

Using entities:
Pauley Perrette (wd:Q231815): American actress and musician, television actor, film producer, film director, voice actor, film actor, blogger, writer, actor, poet
higher education institution, also known as HEI, Higher Education school, institution of higher education, Superior Institute (wd:Q38723): institution that provides higher education (e.g., universities, ...es, liberal arts colleges, institutes of technology, and others)

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt): educational institution attended by subject, affiliation

[Assistant] From the examples, I see that the property "educated at" (wdt:P69) is used to find the college or educational institution a person attended. Next, 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 entity "Margaret Hoover" as an American political commentator corresponds to wd:Q6759529. Now I will use the property "educated at" (wdt:P69) to find where Margaret Hoover went to college.

[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 rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?influencer ?influencerLabel WHERE {
  wd:Q937 wdt:P737 ?influencer .
  OPTIONAL {
    ?influencer rdfs:label ?influencerLabel FILTER ( LANG( ?influencerLabel ) = "en" )
  }
}

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)  |

Albert Einstein was influenced by several people including Mahatma Gandhi, George Bernard Shaw, Paul Valéry, Thomas Young, Karl Pearson, Riazuddin, James Clerk Maxwell, Isaac Newton, Ernst Mach, and Fyodor Dostoyevsky among others.

[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 start by looking at some examples.

[Tool]
Example 1:
Question:
what timezone is tennessee nashville?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q23197 wdt:P421 ?x .
}

Using entities:
Nashville, also known as Nashville–Davidson County, Nashville, TN, Nashville, Tennessee, Nashville, Tenn., Metropolitan Government of Nashville and Davidson County (wd:Q23197): consolidated city-county in Davidson County, Tennessee, United States, and the state capital of Tennessee

Using properties:
located in time zone, also known as TZ, time zone, timezone (wd:P421 as wdt): time zone for this item

Example 2:
Question:
when did sean murray first appear on ncis?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q366939 wdt:P4584 ?x .
}

Using entities:
Sean Murray (wd:Q366939): American actor (born 1977), television actor, film actor, actor

Using properties:
first appearance, also known as debut, present initially in, introduced in work, initial appearance, first film (wd:P4584 as wdt): work in which a fictional/mythical character or entity first appeared, present in work

Example 3:
Question:
where did john boehner come from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q11702 wdt:P19 ?x .
}

Using entities:
John Boehner, also known as John A. Boehner, John Andrew Boehner (wd:Q11702): 53rd Speaker of the U.S. House of Representatives from 2011 to 2015, business executive, businessperson, entrepreneur, politician

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

[Assistant]
The examples show how to query for specific properties of an entity. For the question "who or what influenced Albert Einstein?", we need to find a property related to "influenced" or "influences" for the entity Albert Einstein.

Step 1: Search for the entity "Albert Einstein" to confirm its identifier.
Step 2: Search for properties related to "influence" for the entity Albert Einstein.
Step 3: Construct a query to find who or what influenced Albert Einstein using the identified property.

Let's start with step 1 and search for the entity "Albert Einstein".

[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 entity for Albert Einstein is wd:Q937. Now, let's search for properties related to "influence" for Albert Einstein (wd:Q937).

[Tool]
Top 10 property alternatives:
1. influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as p/wdt): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”
2. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as p/wdt): religion of a person, organization or religious building, or associated with this subject
3. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
4. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as p/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
5. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
6. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as p/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location
7. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as p/wdt): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)
8. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/wdt): subject currently or formerly holds the object position or public office
9. student of, also known as professor, studied under, pupil of, tutor, mentor (wd:P1066 as p/wdt): person who has taught this person, significant person
10. doctoral advisor, also known as PhD supervisor, promotor, supervisor, thesis advisor, advisor (wd:P184 as p/wdt): person who supervised the doctorate or PhD thesis of the subject, supervised by, student of

No other items found

[Assistant] The property "influenced by" (wdt:P737) seems to be the most relevant for the question "who or what influenced Albert Einstein?". Now, I will construct a SPARQL query to find the entities or items that influenced Albert Einstein using this property.

[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 p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?person ?personLabel ?start ?end WHERE {
  ?person p:P39 ?statement .
  ?statement ps:P39 wd:Q844587 .
  ?statement pq:P580 ?start .
  OPTIONAL {
    ?statement pq:P582 ?end
  }
  FILTER ( YEAR( ?start ) <= 2011 && ( ! BOUND( ?end ) || YEAR( ?end ) >= 2011 ) ) OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}
ORDER BY ?start
LIMIT 10

The prime ministers of Spain in 2011 were José Luis Rodríguez Zapatero until December 21, 2011, and Mariano Rajoy starting from December 20, 2011.

[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 start by looking at some examples.

[Tool]
Example 1:
Question:
who was theodore roosevelt's vice president?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x p:P39 ?p .
  ?p ps:P39 wd:Q11699 ; pq:P580 ?y .
  wd:Q33866 p:P39 ?q .
  ?q ps:P39 wd:Q11696 ; pq:P580 ?z .
  FILTER ( ?y = ?z )
}

Using entities:
President of the United States, also known as US President, U.S. President, United States President, the president of the United States, President of the U.S. (wd:Q11696): head of state and head of government of the United States of America
Vice President of the United States, also known as President of the Senate, President of the United States Senate, United States Vice President, United States VP, USA VP (wd:Q11699): second-highest constitutional office in the United States
Theodore Roosevelt, also known as Theodore Roosevelt, Jr., Teddy Roosevelt (wd:Q33866): 26th President of the United States from 1901 to 1909, husbandry worker, conservationist, autobiographer, ornithologist, statesperson, naturalist, politician, historian, explorer, essayist, diarist, writer

Using properties:
position held, also known as function, held position, holds position, job, office held (wd:P39 as p/ps): subject currently or formerly holds the object position or public office
start time, also known as start date, since, valid, join time, joined (wd:P580 as pq): time an entity begins to exist or a statement starts being valid, point in time

Example 2:
Question:
what type of legal system does italy have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q38 wdt:P122 ?x .
}

Using entities:
Italy, also known as Italia, Republic of Italy, Repubblica Italiana, Italian Republic, ITA (wd:Q38): country in Southern Europe

Using properties:
basic form of government, also known as form of government, government, type of government (wd:P122 as wdt): subject's government

Example 3:
Question:
what language do people speak in iran?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q794 wdt:P37 ?x .
}

Using entities:
Iran, also known as ir, IRI, IRN, Islamic Rep. Iran, Islamic Republic of Iran (wd:Q794): country in Western Asia

Using properties:
official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt): language designated as official by this item, language used

[Assistant]
From the examples, I see that to find the prime minister of Spain in 2011, I need to:
1. Identify the entity for Spain.
2. Identify the position "prime minister."
3. Find the person who held the position of prime minister of Spain with a start time or valid time including the year 2011.

I will first search for the entity "Spain" to confirm its Wikidata ID.

[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 entity for Spain is wd:Q29. Next, I will search for the property or position related to "prime minister" to find the correct property for the position held.

[Tool]
Top 10 property alternatives:
1. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as pqn/pr/psv/wdtn/pqv/ps/wdt/p/pq/psn/prv/prn): 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 pqn/pr/psv/wdtn/pqv/ps/wdt/p/pq/psn/prv/prn): 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 pqn/pr/psv/wdtn/pqv/ps/wdt/p/pq/psn/prv/prn): 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 pqn/pr/psv/wdtn/pqv/ps/wdt/p/pq/psn/prv/prn): 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 pqn/pr/psv/wdtn/pqv/ps/wdt/p/pq/psn/prv/prn): position of the head of this item
6. member of cabinet, also known as cabinet, minister of cabinet (wd:P5054 as pqn/pr/psv/wdtn/pqv/ps/wdt/p/pq/psn/prv/prn): 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 pqn/pr/psv/wdtn/pqv/ps/wdt/p/pq/psn/prv/prn): senior official in an educational institution., director / manager, chairperson
8. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as pqn/pr/psv/wdtn/pqv/ps/wdt/p/pq/psn/prv/prn): 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 pqn/pr/psv/wdtn/pqv/ps/wdt/p/pq/psn/prv/prn): 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 pqn/pr/psv/wdtn/pqv/ps/wdt/p/pq/psn/prv/prn): 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) seems to be the most relevant for the position of prime minister. Now I will find the person who held the position of head of government for Spain (wd:Q29) in the year 2011. I will write a query to find the head of government of Spain with a time constraint that includes 2011.

[Tool] Got no rows and 4 columns

[Assistant] I made a mistake in the query. The property P6 is "head of government" but it is used as a qualifier for the position held (P39). I should look for people who held the position of "prime minister of Spain" or "head of government of Spain" (which might be a specific entity) with a time constraint including 2011. I will search for the entity "prime minister of Spain" first.

[Tool]
Top 10 entity alternatives:
1. Prime Minister of Spain, also known as president of the Government of Spain (wd:Q844587): head of government of Spain
2. Deputy Prime Minister of Spain, also known as First Deputy Prime Minister of Spain, Vice President of the Government of Spain (wd:Q3113035): second-highest position of the Government of Spain
3. Fourth Deputy Prime Minister of Spain (wd:Q83565070): Senior position in the government of Spain
4. Office of the Prime Minister, also known as Presidency of the Council of Ministers (1874-1939), Presidency of the Government (1939-), Prime Minister's Office (Spain) (wd:Q113299788): Office of the prime minister of Spain
5. Third Deputy Prime Minister of Spain (wd:Q6366494)
6. First Deputy Prime Minister of the Government of Spain (wd:Q37936537)
7. minister of Spain (wd:Q20899145)
8. Taoiseach, also known as Irish prime minister, prime minister of Ireland, prime minister of the Republic Ireland, Taoisigh (wd:Q191827): head of government and prime minister of Ireland
9. Prime Minister of Japan, also known as Japanese prime minister, Kantei Saigai (wd:Q274948): head of government of Japan
10. Prime Minister of Australia, also known as Australian Prime Minister (wd:Q319145): Head of Government of Australia

[Assistant] The entity for Prime Minister of Spain is wd:Q844587. Now I will write a query to find the person who held the position of Prime Minister of Spain (wd:Q844587) with a time constraint including the year 2011.

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

[Assistant] The query failed due to the use of SERVICE wikibase:label which is not supported by the endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional rdfs:label for the person.

[Tool]
Got 2 rows and 4 columns:
| person                    | personLabel        | start                               | end                                 |
| ------------------------- | ------------------ | ----------------------------------- | ----------------------------------- |
| Mariano Rajoy (wd:Q10819) | Mariano Rajoy (en) | 2011-12-20T00:00:00Z (xsd:dateTime) | 2015-12-21T00:00:00Z (xsd:dateTime) |
| wd:Q41395                 |                    | 2004-04-16T00:00:00Z (xsd:dateTime) | 2011-12-21T00:00:00Z (xsd:dateTime) |

[Tool]
Got 500 rows and 3 columns, showing the first 10 rows below:
| subject   | property                         | object                                                                                |
| --------- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| wd:Q41395 | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| wd:Q41395 | occupation (wdt:P106)            | politician (wd:Q82955)                                                                                |
| wd:Q41395 | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                                |
| wd:Q41395 | given name (wdt:P735)            | José Luis (wd:Q20856658)                                                                                |
| wd:Q41395 | date of birth (wdt:P569)         | 1960-08-04T00:00:00Z (xsd:dateTime)                                                                                |
| wd:Q41395 | Commons category (wdt:P373)      | José Luis Rodríguez Zapatero                                                                                |
| wd:Q41395 | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Presidente%20de%20Espa%C3%B1a%20Rodr%C3%ADguez%20Zapatero%20en%20el%20Senado%20en%20marzo%20de%202011%20%28cropped%29.jpg> |
| wd:Q41395 | country of citizenship (wdt:P27) | Spain (wd:Q29)                                                                                |
| wd:Q41395 | family name (wdt:P734)           | Rodríguez (wd:Q1654058)                                                                                |
| wd:Q41395 | place of birth (wdt:P19)         | Valladolid (wd:Q8356)                                                                                |
| ...       | ...                              | ...                                                                                |

[Tool]
Got 2 rows and 4 columns:
| person                    | personLabel        | start                               | end                                 |
| ------------------------- | ------------------ | ----------------------------------- | ----------------------------------- |
| wd:Q41395                 |                    | 2004-04-16T00:00:00Z (xsd:dateTime) | 2011-12-21T00:00:00Z (xsd:dateTime) |
| Mariano Rajoy (wd:Q10819) | Mariano Rajoy (en) | 2011-12-20T00:00:00Z (xsd:dateTime) | 2015-12-21T00:00:00Z (xsd:dateTime) |

[Tool]
Got 30 rows and 3 columns, showing the first 10 rows below:
| subject   | property   | object                                     |
| --------- | ---------- | ------------------------------------------ |
| wd:Q41395 | rdfs:label | Hosē Luiss Rodrigess Sapatero (lv)         |
| wd:Q41395 | rdfs:label | Iosephus Ludovicus Rodriguez Zapatero (la) |
| wd:Q41395 | rdfs:label | José Luis Rodríguez Zapatero (br)          |
| wd:Q41395 | rdfs:label | José Luis Rodríguez Zapatero (mul)         |
| wd:Q41395 | rdfs:label | José Luis Rodríguez Zapatero (sv)          |
| wd:Q41395 | rdfs:label | Χοσέ Λουίς Ροδρίγκεθ Θαπατέρο (el)         |
| wd:Q41395 | rdfs:label | Хасэ Луіс Радрыгес Сапатэра (be)           |
| wd:Q41395 | rdfs:label | Хасэ-Люіс Радрыгес-Сапатэра (be-tarask)    |
| wd:Q41395 | rdfs:label | Хосе Луис Родригез Запатеро (mk)           |
| wd:Q41395 | rdfs:label | Хосе Луис Родригез Запатеро (sr)           |
| ...       | ...        | ...                                        |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?location ?locationLabel WHERE {
  wd:Q1317 wdt:P20 ?location .
  OPTIONAL {
    ?location rdfs:label ?locationLabel FILTER ( LANG( ?locationLabel ) = "en" )
  }
}

Osama bin Laden was found and killed at Osama bin Laden's compound in Abbottabad.

[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 start by looking at some examples.

[Tool]
Example 1:
Question:
where did james baldwin go to school?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q273210 wdt:P69 ?x .
}

Using entities:
James Baldwin, also known as James Arthur Baldwin (wd:Q273210): American writer (1924–1987), civil rights advocate, university teacher, short story writer, gay fiction writer, social critic, screenwriter, playwright, novelist, essayist, poet

Using properties:
educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt): educational institution attended by subject, affiliation

Example 2:
Question:
what all does google have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q95 wdt:P1830 ?x .
}

Using entities:
Google, also known as Big G, google.com, Google Inc., Google LLC, Google, Inc. (wd:Q95): American multinational technology company, a subsidiary of Alphabet Inc.

Using properties:
owner of, also known as owns, owns property, shareholder of (wd:P1830 as wdt): entities owned by the subject

Example 3:
Question:
what does icelandic sound like?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q294 wdt:P279 ?x .
}

Using entities:
Icelandic, also known as Íslenska, is, Icelandic language, Iſlandic tongue (wd:Q294): North Germanic language mainly spoken in Iceland

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain

[Assistant]
The question is about the location where Osama bin Laden was found and killed. We need to identify the entity for Osama bin Laden and then find properties related to the place where he was found and killed.

Step 1: Search for the entity "Osama bin Laden" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. 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
2. Osama bin Laden (wd:Q10612826): rogue bull elephant in India
3. death of Osama bin Laden, also known as Geronimo EKIA, killing of Bin Laden, killing of Osama bin Laden, Operation Neptune Spear, Osama bin Laden death (wd:Q19085): U.S. military operation in Abbottabad, Pakistan
4. Osama bin Laden bodyguards (wd:Q7105668): bodyguards of Osama Bin Laden
5. Osama Bin Laden Tape (wd:Q110056559): sketch from Saturday Night Live
6. Meeting Osama Bin Laden (wd:Q129687082): 2004 Television film
7. Operation Osama Bin Laden (wd:Q122824240): 2021 video game
8. Targeted: Osama Bin Laden (wd:Q129687094): 2004 Television film
9. Fatwas of Osama bin Laden (wd:Q5437340)
10. 2007 Osama bin Laden video (wd:Q4609081): 2007 film

[Assistant]
The entity for Osama bin Laden is wd:Q1317. There is also an entity for the death of Osama bin Laden as a U.S. military operation (wd:Q19085).

Step 2: We want to find properties related to the place where Osama bin Laden was found and killed. Let's search for properties related to "place of death" or "location of death" for the entity Osama bin Laden (wd:Q1317).

[Tool]
Top 10 property alternatives:
1. 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
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as p/wdt): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as p/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
4. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as p/wdt): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
5. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as p/wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
6. 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
7. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
8. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p/wdt): the place where the person is or has been, resident, location
9. Find a Grave memorial ID, also known as FaG ID, FaGID, Find A Grave grave ID, Findagrave ID, Find A Grave memorial ID (wd:P535 as p/wdt): identifier of an individual's burial place in the Find a Grave database
10. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as p/wdt): person or organization who killed the subject, significant person

No other items found

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

Step 3: Let's query the place of death for Osama bin Laden (wd:Q1317). Additionally, since the question also asks where he was found, we can check if there is a property related to the place where he was found or captured. Let's first query the place of death.

[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) |

[Assistant]
Osama bin Laden's place of death is recorded as "Osama bin Laden's compound in Abbottabad" (wd:Q3065522).

Step 4: Now let's check if there is a property related to the place where he was found or captured. We can try searching for properties related to "found" or "captured" for Osama bin Laden.

[Tool]
Top 10 property alternatives:
1. 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)
2. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/wdt): subject currently or formerly holds the object position or public office
3. conflict, also known as war, theatre (military), theater (military), participated in conflict, military conflict (wd:P607 as p/wdt): battles, wars or other military engagements in which the person or item participated, participant in
4. 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
5. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as p/wdt): significant or notable events associated with the subject
6. 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
7. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as p/wdt): person or organization who killed the subject, significant person
8. replaced by, also known as heir, superseded by, successor, succeeded by, next job holder (wd:P1366 as p/wdt): other person or item which continues the item by replacing it in... nor identical, but adds to the series (e.g. books in a series)., followed by
9. Guardian topic ID, also known as Guardian, The Guardian topic, The Guardian topic ID (wd:P3106 as p/wdt): identifier for a topic at the Guardian newspaper website
10. 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

No other items found

[Assistant]
There is no direct property for the place where Osama bin Laden was found or captured. However, there is a property "significant event" (wdt:P793) which might include the event of his death or capture.

Step 5: Let's explore the significant events related to Osama bin Laden to see if there is an event that indicates where he was found or captured.

[Tool]
Got 2 rows and 2 columns:
| event                                | eventLabel                    |
| ------------------------------------ | ----------------------------- |
| September 11 attacks (wd:Q10806)     | September 11 attacks (en)     |
| death of Osama bin Laden (wd:Q19085) | death of Osama bin Laden (en) |

[Assistant]
There is a significant event "death of Osama bin Laden" (wd:Q19085).

Step 6: Let's explore the details of the event "death of Osama bin Laden" (wd:Q19085) to find the location where he was found and killed. We can check the properties of this event.

[Tool]
Got 301 rows and 3 columns, showing the first 10 rows below:
| subject                              | property                         | object                                                                                |
| ------------------------------------ | -------------------------------- | ---------------------------------------------------------------------------------------- |
| death of Osama bin Laden (wd:Q19085) | instance of (wdt:P31)            | assassination (wd:Q3882219)                                                              |
| death of Osama bin Laden (wd:Q19085) | country (wdt:P17)                | Pakistan (wd:Q843)                                                                       |
| death of Osama bin Laden (wd:Q19085) | coordinate location (wdt:P625)   | POINT(73.242439 34.169308) (geo:wktLiteral)                                              |
| death of Osama bin Laden (wd:Q19085) | Commons category (wdt:P373)      | Death of Osama bin Laden                                                                 |
| death of Osama bin Laden (wd:Q19085) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Osama%20bin%20Laden%20compound2.jpg> |
| death of Osama bin Laden (wd:Q19085) | part of (wdt:P361)               | Operation Neptune Spear (wd:Q28846185)                                                   |
| death of Osama bin Laden (wd:Q19085) | location (wdt:P276)              | Osama bin Laden's compound in Abbottabad (wd:Q3065522)                                   |
| death of Osama bin Laden (wd:Q19085) | point in time (wdt:P585)         | 2011-05-02T00:00:00Z (xsd:dateTime)                                                      |
| death of Osama bin Laden (wd:Q19085) | participant (wdt:P710)           | United States (wd:Q30)                                                                   |
| death of Osama bin Laden (wd:Q19085) | topic's main category (wdt:P910) | wd:Q7010584                                                                              |
| ...                                  | ...                              | ...                                                                                |

[Assistant]
The event "death of Osama bin Laden" (wd:Q19085) has a property "location" (wdt:P276) which is "Osama bin Laden's compound in Abbottabad" (wd:Q3065522). This is the same location as the place of death for Osama bin Laden.

Step 7: Since the location where he was found and killed is the same, we can conclude that Osama bin Laden was found and killed at "Osama bin Laden's compound in Abbottabad."

I will now formulate the final SPARQL query to return this information.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?movie ?movieLabel WHERE {
  ?movie wdt:P161 wd:Q36767 .
  ?movie wdt:P31 wd:Q11424 .
  OPTIONAL {
    ?movie rdfs:label ?movieLabel FILTER ( LANG( ?movieLabel ) = "en" )
  }
}

Got 35 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)                                 |
| ...                                                    | ...                                            |
| The Batman (wd:Q61117344)                              | The Batman (en)                                |
| The Devil All the Time (wd:Q61927376)                  | The Devil All the Time (en)                    |
| Remember Me (wd:Q632680)                               | Remember Me (en)                               |
| Tenet (wd:Q63985561)                                   | Tenet (en)                                     |
| Cosmopolis (wd:Q737055)                                | Cosmopolis (en)                                |

Robert Pattinson has acted in movies such as Harry Potter and the Goblet of Fire, Harry Potter and the Order of the Phoenix, Vanity Fair, The Batman: Part II, Mickey 17, The Batman, The Devil All the Time, Remember Me, Tenet, and Cosmopolis among others.

[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 start by looking at some examples.

[Tool]
Example 1:
Question:
what is julia gillard party?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q41563 wdt:P102 ?x .
}

Using entities:
Julia Gillard, also known as Julia Eileen Gillard, The Honourable Julia Gillard MP, Prime Minister Gillard (wd:Q41563): Prime Minister of Australia from 2010 to 2013, politician, lawyer

Using properties:
member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as wdt): the political party of which a person is or has been a member or otherwise affiliated, member of

Example 2:
Question:
what country columbus was born?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q7322 wdt:P19 ?p .
  ?p wdt:P17 ?x .
}

Using entities:
Christopher Columbus, also known as Cristóbal Colón, Cristoforo Colombo, Don Cristobál Colón, 'Christopher Columbus', Cristobal Colon, Christofer Columbus (wd:Q7322): Italian navigator, explorer, and colonist (1451–1506), explorer, seafarer, traveler, inventor, sailor

Using properties:
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt): most specific known birth location of a person, animal or fictional character, location

Example 3:
Question:
where is kia car from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q35349 wdt:P17 ?x .
}

Using entities:
Kia, also known as Kia motors, Kyungsung Precision Industry, KN, Kia Motors Corporation (Seoul), Kia Motors (wd:Q35349): South Korean automobile manufacturer

Using properties:
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

[Assistant]
The examples show how to query for entities related to a person or an object using their Wikidata ID and properties. For movies with Robert Pattinson, I need to find the entity for Robert Pattinson and then find the movies he has acted in.

Step 1: Search for the entity "Robert Pattinson" in Wikidata.

[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 entity for the British actor Robert Pattinson is wd:Q36767. Now I will search for movies where Robert Pattinson acted. The property for "cast member" or "actor" in movies is usually P161 (cast member). I will check the movies where Robert Pattinson (wd:Q36767) is listed as a cast member.

[Tool]
Got 35 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)                                 |
| ...                                                    | ...                                            |
| The Batman (wd:Q61117344)                              | The Batman (en)                                |
| The Devil All the Time (wd:Q61927376)                  | The Devil All the Time (en)                    |
| Remember Me (wd:Q632680)                               | Remember Me (en)                               |
| Tenet (wd:Q63985561)                                   | Tenet (en)                                     |
| Cosmopolis (wd:Q737055)                                | Cosmopolis (en)                                |

[Tool] Stopped generation process