PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?disease WHERE {
  wd:Q1345645 wdt:P1050 ?disease .
}

Montel Williams has multiple sclerosis.

[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 kind of disease does montel williams have?

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

[Tool]
Example 1:
Question:
where was governor cuomo born?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q11673 wdt:P19 ?x .
}

Using entities:
Andrew Cuomo, also known as Andrew Mark Cuomo (wd:Q11673): Governor of New York from 2011 to 2021, politician, lawyer

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

Example 2:
Question:
where did queen isabella live?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q45859 wdt:P19 ?x .
}

Using entities:
Isabella I of Castile, also known as la Católica, Queen of Spain Isabel I, Queen Isabella, Queen Isabella of Spain, Queen of Castile and Leon Isabella, Queen of Castile and León Isabella (wd:Q45859): queen of the Crown of Castile, from 1474 to 1504; first queen of a dynastically-united Spain, from 1479 to 1504, ruler

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

Example 3:
Question:
what is my timezone in california?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q99 wdt:P421 ?x .
}

Using entities:
California, also known as US-CA, State of California, The Golden State, Calif., Cali. (wd:Q99): state of the United States of America

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

[Assistant] Based on the examples, we need to identify the entity for Montel Williams and the property that describes his medical condition or disease. Let's start by searching for Montel Williams in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Montel Williams, also known as Montel Brian Anthony Williams (wd:Q1345645): American television host and actor, television presenter, television producer, radio personality, television actor, military officer, journalist, politician, actor
2. The Montel Williams Show (wd:Q2412902): television series
3. Montel Williams MS Foundation (wd:Q30289093): nonprofit organization in New York, United States
4. Williams Racing, also known as Williams, Williams Grand Prix Engineering Limited, Williams F1 (wd:Q171337): European Formula One motor racing team and constructor
5. Williams, also known as Williams, AZ, Williams, Arizona (wd:Q79864): city in Coconino County, Arizona, United States
6. Williams, also known as Williams, CA, Williams, California (wd:Q2685585): city in Colusa County, California, United States
7. Williams, also known as Williams, IA, Williams, Iowa (wd:Q1012283): city in Hamilton County, Iowa, United States
8. Williams, also known as Williams, MN, Williams, Minnesota (wd:Q963315): city in Lake of the Woods County, Minnesota, United States
9. Williams College, also known as Williams (wd:Q49166): liberal arts college in Massachusetts
10. Williams, also known as Williams, SC, Williams, South Carolina (wd:Q2562748): town in Collation County, South Carolina, United States

[Assistant] The correct entity for Montel Williams is `wd:Q1345645`. Next, we need to find the property that describes his medical condition or disease. We can search for properties related to health conditions or diseases associated with Montel Williams.

[Tool]
Top 10 property alternatives:
1. medical condition, also known as disability, suffers from, suffer from, sickness, paralympic disability (wd:P1050 as wdt/p): any state relevant to the health of an organism, including diseases and positive conditions
2. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
3. 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)
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. 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)
7. 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
8. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
9. 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
10. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)

No other items found

[Assistant]
The property `medical condition` (wd:P1050) seems to be the most relevant for finding out the disease Montel Williams has. Let's construct a SPARQL query to retrieve this information.

```sparql
SELECT ?disease WHERE {
  wd:Q1345645 wdt:P1050 ?disease .
}
```

I will now execute this query to get the result.

[Tool]
Got 1 row and 1 column:
| disease                       |
| ----------------------------- |
| multiple sclerosis (wd:Q8277) |

[Assistant]
The SPARQL query has returned that Montel Williams has multiple sclerosis.

Here is the final SPARQL query and the answer:

```sparql
SELECT ?disease WHERE {
  wd:Q1345645 wdt:P1050 ?disease .
}
```

Montel Williams has multiple sclerosis.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?startDate WHERE {
  wd:Q169452 wdt:P2031 ?startDate .
}

Shaquille O'Neal entered the NBA in 1993.

[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] when did shaq come into the nba?

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

[Tool]
Example 1:
Question:
where did pres clinton go to college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q1124 wdt:P69 ?x .
  ?x wdt:P31 / wdt:P279 * wd:Q38723 .
}

Using entities:
Bill Clinton, also known as William Jefferson Blythe, William Jefferson Blythe III, William Jefferson "Bill" Clinton, William Jefferson Clinton, WJC (wd:Q1124): President of the United States from 1993 to 2001, autobiographer, statesperson, saxophonist, politician, governor, diplomat, teacher, jurist, lawyer, writer
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

Example 2:
Question:
what school did kurt vonnegut go to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q49074 wdt:P69 ?x .
}

Using entities:
Kurt Vonnegut, also known as Kurt Vonnegut, Jr. (wd:Q49074): American author (1922–2007), writer

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 3:
Question:
what 3 countries does mexico border?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q96 wdt:P47 ?x .
}
LIMIT 3

Using entities:
Mexico, also known as US of M, United Mexican States, MXN, MX, Mexican United States (wd:Q96): country in North America

Using properties:
shares border with, also known as shares borders with, next to, bordered by, border, borders clockwise (wd:P47 as wdt): countries or administrative subdivisions, of equal level, that t...rders, either by land or water. A single common point is enough.

[Assistant] Based on the examples, we need to identify Shaquille O'Neal (Shaq) and the property that indicates when he entered the NBA. Let's first search for Shaq in the knowledge graph.

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

[Assistant]
The correct entity for Shaquille O'Neal is `wd:Q169452`. Now, let's find the property that indicates when he entered the NBA. We can search for properties related to his career or specific events like joining a team.

Let's search for properties related to Shaquille O'Neal that might indicate when he entered the NBA.

[Tool]
Top 10 property alternatives:
1. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as wdt/p): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
2. 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)
3. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt/p): educational institution attended by subject, affiliation
4. academic degree, also known as academic diploma, degree, diploma (wd:P512 as wdt/p): academic degree that the person holds
5. 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
6. 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
7. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as wdt/p): sports teams or clubs that the subject represents or represented, member of
8. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as wdt/p): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
9. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as wdt/p): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
10. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception

No other items found

[Assistant]
The property `work period (start)` (`wdt:P2031`) seems to be the most relevant for indicating when Shaquille O'Neal started his career. Let's check if this property is used for Shaquille O'Neal and what value it has.

We will run a SPARQL query to retrieve the start date of Shaquille O'Neal's career.

```sparql
SELECT ?startDate WHERE {
  wd:Q169452 wdt:P2031 ?startDate .
}
```

Let's execute this query.

[Tool]
Got 1 row and 1 column:
| startDate                           |
| ----------------------------------- |
| 1993-01-01T00:00:00Z (xsd:dateTime) |

[Assistant]
The start date of Shaquille O'Neal's career is January 1, 1993. This indicates that he entered the NBA in 1993.

Here is the final SPARQL query and the answer:

```sparql
SELECT ?startDate WHERE {
  wd:Q169452 wdt:P2031 ?startDate .
}
```

Answer: Shaquille O'Neal entered the NBA in 1993.

Let's finalize this with the answer function.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?spouse WHERE {
  wd:Q34969 wdt:P26 ?spouse .
}

Ben Franklin married Deborah Read Franklin.

[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 did ben franklin marry?

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

[Tool]
Example 1:
Question:
what is shakespeare's parents names?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q692 wdt:P22 | wdt:P25 ?x .
}

Using entities:
William Shakespeare, also known as Bard of Avon, The Bard of Avon, The Bard, Swan of Avon (wd:Q692): English playwright and poet (1564–1616), playwright

Using properties:
father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent

Example 2:
Question:
what does annie leibovitz do?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q225283 wdt:P106 ?x .
}

Using entities:
Annie Leibovitz, also known as Anna-Lou Leibovitz (wd:Q225283): American photographer (born 1949), fashion photographer, film director, photographer

Using properties:
occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)

Example 3:
Question:
who played emma frost?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?p p:P161 ?y .
  ?y ps:P161 ?x ; pq:P453 wd:Q1995969 .
}

Using entities:
Emma Frost, also known as Emma Grace Frost, The Queen of Hellfire club, The Lady of Lies, The White Rose, White Queen (wd:Q1995969): fictional character in Marvel Comics, chief executive officer, head teacher, superhero

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as p/ps): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
character role, also known as role, plays, performer of, as, acting role (wd:P453 as pq): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)

[Assistant] Based on the examples, we need to identify the entity for Ben Franklin and the property for spouse or marriage. Let's start by searching for Ben Franklin as an entity.

[Tool]
Top 10 entity alternatives:
1. Benjamin Franklin, also known as The First American, Silence Dogood, Poor Richard, Ben Franklin, Franklin (wd:Q34969): American polymath and statesman (1706–1790), politician, polymath, diplomat, writer
2. Benjamin Franklin, also known as The First American, Silence Dogood, Poor Richard, Franklin, Ben Franklin (wd:Q34969): American polymath and statesman (1706–1790), politician, polymath, diplomat, writer
3. Ben Franklin, also known as PX-15 (wd:Q663994): American scientific submarine, now a museum ship in Canada
4. Ben Franklin, also known as Benjamin Cameron Franklin (wd:Q19873536): Australian politician, politician
5. Ben Franklin, also known as Ben Franklin, Texas, Ben Franklin, TX (wd:Q4885668): unincorporated community in Delta County, Texas, United States
6. Ben Franklin (wd:Q4885669): Canadian politician, politician, mayor
7. Ben Franklin (wd:Q131374896): 21st century American politician, politician
8. Ben Franklin (wd:Q4885670): episode of The Office (S3 E15)
9. Benjamin Franklin Bridge, also known as Ben Franklin Bridge, Delaware River Bridge (wd:Q817485): suspension bridge between Philadelphia, Pennsylvania and Camden, New Jersey
10. Ben Franklin effect (wd:Q4885677): psychological phenomenon

[Assistant] The correct entity for Ben Franklin is `wd:Q34969`. Now, let's search for the property related to marriage or spouse.

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
4. married name, also known as full name (married) (wd:P2562 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): name or surname adopted by a person upon marriage, name
5. place of marriage, also known as marriage location, wedding location, wed at, married in, married at (wd:P2842 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): location where the marriage was celebrated. Use as qualifier for property "spouse" (P26), significant place
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): full name of a person at birth, if different from their current, generally used name, name
7. connects with, also known as contacts, couples with, intersects at grade, links to, mates with (wd:P2789 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): item with which the item is physically connected, physically interacts with
8. companion of, also known as has astronomical companion, has companion, companion, astronomic companion of, astronomic companion (wd:P399 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): two or more astronomic bodies of the same type relating to each other
9. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
10. relation (wd:P2309 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): qualifier to define a property constraint in combination with P2...h the property "relative" is "type of kinship" (P1039), not this

[Assistant]
The correct property for spouse is `wdt:P26`. Now, let's construct a simple SPARQL query to find out who Ben Franklin married.

```sparql
SELECT ?spouse WHERE {
  wd:Q34969 wdt:P26 ?spouse .
}
```

I will execute this query to get the result.

[Tool]
Got 1 row and 1 column:
| spouse                              |
| ----------------------------------- |
| Deborah Read Franklin (wd:Q3020859) |

[Assistant]
The SPARQL query returned the correct result. Ben Franklin married Deborah Read Franklin.

Here is the final SPARQL query and the answer:

```sparql
SELECT ?spouse WHERE {
  wd:Q34969 wdt:P26 ?spouse .
}
```

Answer: Ben Franklin married Deborah Read Franklin.

[Tool] Stopped generation process


Failed to generate SPARQL query

[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 chinese people write in?

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

[Tool]
Example 1:
Question:
what kind of language do irish speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q170826 wdt:P1412 ?x .
}

Using entities:
Irish people, also known as Gaels, Irish (wd:Q170826): Celtic people

Using properties:
languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)

Example 2:
Question:
what airlines fly into ontario international airport?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P113 wd:Q949831 .
}

Using entities:
Ontario International Airport, also known as KONT, LA/Ontario International Airport, ONT, Ontario Municipal Airport (wd:Q949831): airport near Ontario in the Greater Los Angeles Area, California, United States

Using properties:
airline hub, also known as hub airport, hub (wd:P113 as wdt): airport that serves as a hub for an airline

Example 3:
Question:
what country did james watt come from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q9041 wdt:P27 ?x .
}

Using entities:
James Watt, also known as James von Breda Watt, James, Sr. Watt (wd:Q9041): British engineer (1736–1819), mathematician, entrepreneur, technician, physicist, engineer, inventor, chemist

Using properties:
country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt): the object is a country that recognizes the subject as its citizen, country

[Assistant]
Based on the examples, we can see that the property `languages spoken, written or signed` (P1412) is used to indicate the languages that a group of people speak, write, or sign. We need to find the entity representing Chinese people and then use this property to find out what language they write in.

First, let's search for the entity representing Chinese people.

[Tool]
Top 10 entity alternatives:
1. Chinese people, also known as the Chinese (wd:Q6501380): ethnic groups
2. Han Chinese people, also known as Han, Han people (wd:Q42740): ethnic group native to China Central Plain
3. Hakka people, also known as Hakka, Hakka Han, Hakka Chinese people (wd:Q660947): ethnic group native to southeastern China and Taiwan
4. Teochew people, also known as Chaozhou people, Chaoshan people, Tiociu nang, Teochew, Teochew (Chinese people) (wd:Q1959575): ethnic group
5. African Chinese people (wd:Q30004886): Chinese people with African ancestry
6. People's Liberation Army Navy, also known as Chinese People's Liberation Army Navy, Chinese Navy, PLA Navy, PLAN, P.L.A.N. (wd:Q755179): Maritime service branch of the Chinese People's Liberation Army
7. people's commune, also known as Chinese People's commune (wd:Q1153975): the highest of three administrative levels in rural areas of the People's Republic of China during the period from 1958 to 1983
8. People's Volunteer Army, also known as Chinese People's Volunteers, CPV, PVA (wd:Q488945): PRC forces supporting DPRK during the Korean War
9. Chinese people in Japan (wd:Q905498): ethnic group
10. Chinese people in Germany (wd:Q822925): ethnic group

[Assistant]
The most relevant entity for "Chinese people" appears to be `Chinese people` (Q6501380). Let's use this entity and the property `languages spoken, written or signed` (P1412) to find out what language Chinese people write in.

I'll construct a simple SPARQL query to retrieve this information.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the entity `Chinese people` (Q6501380) does not have any direct statements about the languages they speak, write, or sign. This might be because the data is structured differently or the entity is not the most appropriate one for this query.

Let's try another entity, such as `Han Chinese people` (Q42740), which is a more specific group of Chinese people and might have more detailed information.

I'll update the SPARQL query to use `Han Chinese people` (Q42740).

[Tool] Got no rows and 1 columns

[Assistant]
It appears that even the entity `Han Chinese people` (Q42740) does not have direct statements about the languages they speak, write, or sign. This suggests that the information might be structured differently or the entities might not be the best fit for this query.

Let's try a different approach. Instead of focusing on the people, we can look at the language itself and see if it has any properties indicating that it is used by Chinese people.

I'll search for the entity representing the Chinese language and then check its properties to see if it indicates usage by Chinese people.

First, let's search for the entity representing the Chinese language.

[Tool]
Top 10 entity alternatives:
1. Chinese, also known as Chinese language, Chinese languages, zh (wd:Q7850): language group of the Sinitic languages
2. Chinese, also known as Chinese language, Chinese languages, zh (wd:Q7850): language group of the Sinitic languages
3. Studies of the Chinese Language, also known as Chinese Language, Zhongguo Yuwen (wd:Q15762288): journal
4. Chinese Language (wd:Q110262537): Stack Exchange site for students, teachers, and linguists wanting to discuss the finer points of the Chinese language
5. Chinese language (wd:L1260101-S1)
6. Chinese language (wd:L727426-S1)
7. Sinitic, also known as Chinese languages, Sinitic languages (wd:Q33857): group of East Asian analytic languages and a major branch of the Sino-Tibetan language family
8. Tai Nüa, also known as Tai Le language, Tai Nüa language, Tai Na language, Tai Mau language, Tai Kong language (wd:Q36556): language
9. written Chinese language, also known as Chinese (wd:Q3110592): overview of writing varieties of Chinese, unified in Qin dynasty
10. Chinese Sign Language, also known as csl, CSL, ZGS (wd:Q1094190): sign language used in China and culturally related areas

[Assistant]
The most relevant entity for the Chinese language is `Chinese` (Q7850), which represents the language group of the Sinitic languages. Let's use this entity and check its properties to see if it indicates usage by Chinese people.

I'll construct a SPARQL query to retrieve the properties and objects associated with the Chinese language (Q7850).


PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?owner ?startTime ?endTime WHERE {
  wd:Q181114 p:P127 ?statement .
  ?statement ps:P127 ?owner .
  OPTIONAL {
    ?statement pq:P580 ?startTime .
  }
  OPTIONAL {
    ?statement pq:P582 ?endTime .
  }
  FILTER ( ?startTime <= "2011-12-31T23:59:59Z" ^^ xsd:dateTime && ( ?endTime >= "2011-01-01T00:00:00Z" ^^ xsd:dateTime || ! BOUND( ?endTime ) ) )
}

Based on historical knowledge, Fiat gained a controlling stake in Chrysler Corporation in 2011, but this information is not directly verifiable in the knowledge graph.

[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 owns chrysler corporation 2011?

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

[Tool]
Example 1:
Question:
what character did stan lee create?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P170 wd:Q181900 .
}

Using entities:
Stan Lee, also known as Stanley Martin Lieber, Stanley Lieber, The Man, Neel Nats, S. T. Anley (wd:Q181900): American comic book writer, editor, publisher, and producer (1922–2018), science fiction writer, television presenter, business executive, executive producer, comics writer, comics editor, film producer, screenwriter, voice actor, journalist, film actor, publisher, soldier, editor, writer

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

Example 2:
Question:
what language does the country italy speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q38 wdt:P37 ?x .
}

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

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 does ryan lochte live now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q201517 wdt:P551 ?x .
}

Using entities:
Ryan Lochte, also known as Ryan Steven Lochte (wd:Q201517): American swimmer, swimmer

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

[Assistant] Based on the examples, we need to identify the entity for Chrysler Corporation and the relevant property for ownership in 2011. Let's first search for the entity "Chrysler Corporation".

[Tool]
Top 10 entity alternatives:
1. Stellantis North America, also known as Chrysler Corporation, Chrysler LLC, FCA US (wd:Q181114): American automotive manufacturer
2. Chrysler Corporation v. United States (wd:Q19037103)
3. Chrysler Corporation's super-lite; an evaluation (wd:Q44500476): scientific article published in November 1969
4. Chrysler Corporation Loan Guarantee Act of 1979 (wd:Q131378741): United States federal statute
5. EVOLUTION in Chrysler Corporation's medical department (wd:Q78476671): scientific article published on 01 January 1959
6. corporation, also known as corporated entity (wd:Q167037): legal entity incorporated through a legislative or registration process
7. Chrysler, also known as Chrysler brand (wd:Q29610): US automotive brand
8. The Corporation, also known as Corporation (wd:Q1475460): 2003 film by Mark Achbar, Jennifer Abbott
9. Uponor, also known as Corporation (wd:Q1536068): Finnish business
10. corporation, also known as United States corporation, US corporation, U.S. corporation, Incorporated, Inc. (wd:Q57655560): business entity in the United States incorporated under any state or territorial statute

[Assistant]
The top result, "Stellantis North America" (also known as Chrysler Corporation, Chrysler LLC, FCA US), seems to be the correct entity for Chrysler Corporation. Next, let's find the property that indicates ownership or control, particularly around 2011.

I will search for properties related to "ownership" and "control" to see what might be relevant.

[Tool]
Top 10 property alternatives:
1. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): owner of the subject
2. owner of, also known as owns, owns property, shareholder of (wd:P1830 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): entities owned by the subject
3. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
4. afterward owned by, also known as subsequently owned by, purchased by, owned after by, new owner, bought by (wd:P11812 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): person or institution that owned the subject after stated event....ficant event (P793)" for events like sales, auctions, gifts, etc
5. beforehand owned by, also known as acquired from, bequester, bought from, old owner, oldowner (wd:P11811 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): person or institution that owned the subject just before stated ...ficant event (P793)" for events like sales, auctions, gifts, etc
6. properties for this type, also known as uses properties, Wikidata properties for this type, Wikidata properties for this class, uses property, things one could say about (wd:P1963 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): when this subject is used as object of “instance of”, the following properties normally apply
7. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): main Wikidata property for this item
8. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
9. beneficial owner, also known as beneficial ownership, UBO (wd:P12621 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): natural person or persons who ultimately owns or controls a company or organisation
10. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of

[Assistant]
The property "owned by" (wd:P127) seems to be the most relevant for indicating ownership. We will use this property to find out who owned Chrysler Corporation in 2011.

Next, we need to check if there are any qualifiers or additional properties that can help us specify the time period (2011). Let's look at the properties of the entity "Stellantis North America" (Chrysler Corporation) to see if there are any time-related qualifiers.

I will list the triples for "Stellantis North America" to see if there are any relevant properties and qualifiers.

[Tool]
Got 487 rows and 3 columns, showing the first 10 rows below:
| subject                               | property                         | object                                                                                |
| ------------------------------------- | -------------------------------- | ---------------------------------------------------------------------------------------------------------------- |
| Stellantis North America (wd:Q181114) | instance of (wdt:P31)            | business (wd:Q4830453)                                                                                |
| Stellantis North America (wd:Q181114) | country (wdt:P17)                | United States (wd:Q30)                                                                                |
| Stellantis North America (wd:Q181114) | Commons category (wdt:P373)      | Chrysler Group LLC                                                                                |
| Stellantis North America (wd:Q181114) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Chrysler%20Headquarters%20Tower%20%28November%202021%29.jpg> |
| Stellantis North America (wd:Q181114) | inception (wdt:P571)             | 1925-06-06T00:00:00Z (xsd:dateTime)                                                                              |
| Stellantis North America (wd:Q181114) | country of origin (wdt:P495)     | United States (wd:Q30)                                                                                |
| Stellantis North America (wd:Q181114) | official website (wdt:P856)      | <https://media.stellantisnorthamerica.com/homepage.do>                                                           |
| Stellantis North America (wd:Q181114) | owned by (wdt:P127)              | Stellantis (wd:Q97439162)                                                                                |
| Stellantis North America (wd:Q181114) | headquarters location (wdt:P159) | Auburn Hills (wd:Q758559)                                                                                |
| Stellantis North America (wd:Q181114) | topic's main category (wdt:P910) | wd:Q7215648                                                                                |
| ...                                   | ...                              | ...                                                                                |

[Assistant]
From the list of triples, we can see that "Stellantis North America" (Chrysler Corporation) is currently owned by "Stellantis" (wd:Q97439162). However, this does not provide information about the ownership in 2011.

To find the ownership in 2011, we need to check if there are any time-qualified statements for the "owned by" property. Let's execute a SPARQL query to find the owner of Chrysler Corporation in 2011.

We will use the `pq:P580` (start time) and `pq:P582` (end time) qualifiers to filter the ownership period.

Here is the SPARQL query:

```sparql
SELECT ?owner ?startTime ?endTime WHERE {
  wd:Q181114 p:P127 ?statement.
  ?statement ps:P127 ?owner.
  OPTIONAL { ?statement pq:P580 ?startTime. }
  OPTIONAL { ?statement pq:P582 ?endTime. }
  FILTER(?startTime <= "2011-12-31T23:59:59Z"^^xsd:dateTime && (?endTime >= "2011-01-01T00:00:00Z"^^xsd:dateTime || !BOUND(?endTime)))
}
```

This query will return the owner of Chrysler Corporation in 2011 along with the start and end times of the ownership period.

Let's execute this query.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no time-qualified statements for the ownership of Chrysler Corporation in 2011. This suggests that the ownership information might not be explicitly recorded with time qualifiers in the knowledge graph.

Given this, let's try a different approach. We can look for historical information about the ownership of Chrysler Corporation around 2011. One way to do this is to search for events or changes in ownership that occurred around that time.

Let's search for the entity "Fiat" (which was known to have a significant stake in Chrysler Corporation around 2011) and see if there are any relevant properties or statements.

I will search for the entity "Fiat" and then look at its properties to see if there is any information about its relationship with Chrysler Corporation.

[Tool]
Top 10 entity alternatives:
1. Fiat, also known as Fiat Automobiles, Torino Italian Automobile Manufacturer, Fiat Automobiles S.p.A. (wd:Q27597): automotive and aircraft brand manufacturing subsidiary of FCA Italy
2. Patchata Janngeon, also known as Pattadon Janngern, Pattadon Jan-ngern, Fiat (wd:Q54801566): Thai actor, dancer, actor
3. Fiat, also known as Fiat, IN, Fiat, Indiana (wd:Q5446312): unincorporated community in Jay County, Indiana
4. .fiat (wd:Q26980849): generic top-level Internet domain
5. Fiat, also known as Fiat, Kansas, Fiat, KS (wd:Q17183275): human settlement in United States of America
6. Field Information Agency; Technical, also known as FIAT (wd:Q1411552): US Army agency (WWII)
7. TXLNG, also known as taxilin gamma, TXLNGX, LSR5, FIAT, ELRG (wd:Q18042054): protein-coding gene in the species Homo sapiens
8. Fiat (wd:Q30524318): family name
9. Fiat (wd:Q98579724): tractor manufacturer
10. Fiat (wd:Q130983872): scientific article published on 19 December 2014

[Assistant]
The top result, "Fiat" (wd:Q27597), is the correct entity for the automotive company. Let's look at the properties of this entity to see if there is any information about its relationship with Chrysler Corporation, particularly around 2011.

I will list the triples for "Fiat" to see if there are any relevant properties and qualifiers.

[Tool]
Got 481 rows and 3 columns, showing the first 10 rows below:
| subject          | property                         | object                                                                                |
| ---------------- | -------------------------------- | ---------------------------------------------------------------------------------------------------------------- |
| Fiat (wd:Q27597) | instance of (wdt:P31)            | business (wd:Q4830453)                                                                                |
| Fiat (wd:Q27597) | country (wdt:P17)                | Italy (wd:Q38)                                                                                |
| Fiat (wd:Q27597) | Commons category (wdt:P373)      | Fiat                                                                                |
| Fiat (wd:Q27597) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Fiat%20-%20Mirafiori%20building%20%28Italy%2C%202020%29.png> |
| Fiat (wd:Q27597) | inception (wdt:P571)             | 1899-07-11T00:00:00Z (xsd:dateTime)                                                                              |
| Fiat (wd:Q27597) | official website (wdt:P856)      | <https://www.fiat.com/>                                                                                |
| Fiat (wd:Q27597) | native label (wdt:P1705)         | Fabbrica Italiana Automobili Torino (it)                                                                         |
| Fiat (wd:Q27597) | owned by (wdt:P127)              | Stellantis (wd:Q97439162)                                                                                |
| Fiat (wd:Q27597) | headquarters location (wdt:P159) | Turin (wd:Q495)                                                                                |
| Fiat (wd:Q27597) | topic's main category (wdt:P910) | wd:Q7214534                                                                                |
| ...              | ...                              | ...                                                                                |

[Assistant]
From the list of triples for "Fiat" (wd:Q27597), we can see that it is currently owned by "Stellantis" (wd:Q97439162). However, this does not provide information about the ownership of Chrysler Corporation in 2011.

To find the historical relationship between Fiat and Chrysler Corporation, we need to look for specific events or statements that indicate ownership changes. Let's search for the property "owned by" (wd:P127) and see if there are any time-qualified statements for Fiat's ownership of Chrysler Corporation.

I will execute a SPARQL query to find any statements where Fiat (wd:Q27597) owned Chrysler Corporation (wd:Q181114) and check the time qualifiers.

Here is the SPARQL query:

```sparql
SELECT ?owner ?startTime ?endTime WHERE {
  wd:Q181114 p:P127 ?statement.
  ?statement ps:P127 ?owner.
  FILTER(?owner = wd:Q27597).
  OPTIONAL { ?statement pq:P580 ?startTime. }
  OPTIONAL { ?statement pq:P582 ?endTime. }
  FILTER(?startTime <= "2011-12-31T23:59:59Z"^^xsd:dateTime && (?endTime >= "2011-01-01T00:00:00Z"^^xsd:dateTime || !BOUND(?endTime)))
}
```

This query will return the ownership period of Chrysler Corporation by Fiat, specifically checking if it includes 2011.

Let's execute this query.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no time-qualified statements in the knowledge graph indicating that Fiat owned Chrysler Corporation in 2011. This suggests that the specific ownership information for that year might not be explicitly recorded with time qualifiers.

However, based on historical knowledge, Fiat did indeed have a significant stake in Chrysler Corporation starting in 2009 and became the majority owner in 2011. To confirm this, we can look for any events or transactions that indicate Fiat's acquisition of Chrysler Corporation.

Let's search for events or transactions involving Fiat and Chrysler Corporation around 2011. We can use the property "part of" (wd:P361) or "has part" (wd:P527) to see if there are any relevant statements.

I will execute a SPARQL query to find any events or transactions involving Fiat and Chrysler Corporation around 2011.

Here is the SPARQL query:

```sparql
SELECT ?event ?date WHERE {
  ?event wdt:P361 wd:Q181114.
  ?event wdt:P585 ?date.
  FILTER(?date >= "2011-01-01T00:00:00Z"^^xsd:dateTime && ?date <= "2011-12-31T23:59:59Z"^^xsd:dateTime).
}
```

This query will return any events involving Chrysler Corporation that occurred in 2011.

Let's execute this query.

[Tool] Got no rows and 2 columns

[Assistant]
It appears that there are no events or transactions involving Chrysler Corporation in 2011 that are explicitly recorded in the knowledge graph with the properties we have tried.

Given the historical context, it is widely known that Fiat gained a controlling stake in Chrysler Corporation in 2011. However, the specific details of this ownership change might not be recorded in the knowledge graph with the necessary time qualifiers.

Since we have exhausted the available methods to find the ownership information directly from the knowledge graph, we can conclude that the knowledge graph does not provide the specific information we need for 2011.

Therefore, based on historical knowledge, the answer to the question "Who owns Chrysler Corporation in 2011?" is Fiat. However, since we cannot confirm this with the knowledge graph, we will provide a best attempt at the SPARQL query and explain the limitations.

Here is the best attempt at the SPARQL query:

```sparql
SELECT ?owner ?startTime ?endTime WHERE {
  wd:Q181114 p:P127 ?statement.
  ?statement ps:P127 ?owner.
  OPTIONAL { ?statement pq:P580 ?startTime. }
  OPTIONAL { ?statement pq:P582 ?endTime. }
  FILTER(?startTime <= "2011-12-31T23:59:59Z"^^xsd:dateTime && (?endTime >= "2011-01-01T00:00:00Z"^^xsd:dateTime || !BOUND(?endTime)))
}
```

And the explanation:

The knowledge graph does not provide explicit time-qualified statements for the ownership of Chrysler Corporation in 2011. Based on historical knowledge, Fiat gained a controlling stake in Chrysler Corporation in 2011, but this information is not directly verifiable in the knowledge graph.

Let's finalize this with the answer function.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?occupation WHERE {
  wd:Q302 wdt:P106 ?occupation .
}

Got 12 rows and 1 column, showing the first 5 and last 5 rows below:
| occupation                      |
| ------------------------------- |
| rabbi (wd:Q133485)              |
| thaumaturge (wd:Q1349880)       |
| carpenter (wd:Q154549)          |
| religious leader (wd:Q15995642) |
| father of faith (wd:Q2142783)   |
| ...                             |
| teacher (wd:Q37226)             |
| prophet (wd:Q42857)             |
| preacher (wd:Q432386)           |
| Messiah (wd:Q51626)             |
| tektōn (wd:Q7695510)            |

Jesus had several occupations, including rabbi, carpenter, religious leader, teacher, prophet, preacher, and Messiah.

[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 did jesus do for living?

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

[Tool]
Example 1:
Question:
what kind of language do they speak in china?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q148 wdt:P37 ?x .
}

Using entities:
People's Republic of China, also known as Zhōngguó, The PRC, RPC, CHN, Red China (wd:Q148): country in East 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

Example 2:
Question:
who was wale signed to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q458519 wdt:P264 ?x .
}

Using entities:
Wale, also known as Olubowale Akintimehin (wd:Q458519): American rapper, songwriter, rapper, singer

Using properties:
record label, also known as label, labels (wd:P264 as wdt): brand and trademark associated with the marketing of subject music recordings and music videos

Example 3:
Question:
what religion is king henry viii?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q38370 wdt:P140 ?x .
}

Using entities:
Henry VIII of England, also known as Henry VIII, Henry the Eighth, Henry Tudor (wd:Q38370): King of England from 1509 until 1547, composer, monarch

Using properties:
religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as wdt): religion of a person, organization or religious building, or associated with this subject

[Assistant] Based on the examples, we need to identify the entity for Jesus and the property that represents occupation or profession. Let's first search for the entity representing Jesus.

[Tool]
Top 10 entity alternatives:
1. Jesus, also known as The Messiah, Son of Man, The Saviour, Lord of Lords, Saviour of the world (wd:Q302): central figure of Christianity (6 or 4 BC – AD 30 or 33), religious leader, father of faith, thaumaturge, carpenter, preacher, Messiah, teacher, prophet, pastor, healer, tektōn, rabbi
2. Jesus in Islam, also known as Isa Masih, ʿĪsā ibn Maryam, Jesus, Isa (wd:Q51664): penultimate prophet and eschatological figure in Islam, missionary, preacher
3. Jesus, also known as The Jesus Film, Word-for-Word, the Bible on Video: Gospel of Luke (wd:Q575248): 1979 film directed by Peter Sykes and John Krish
4. Jesus (wd:Q614950): 1999 Biblical telefilm directed by Roger Young
5. Jesus, also known as Jesus (first name), Jesus (given name) (wd:Q1158269): male given name
6. Jesús, also known as Jesús, Paraguay, Jesus, Paraguay, Jesus de Tavarangue, Jesús de Tavarangüé, Jesus (wd:Q1688403): district of Paraguay
7. Jesús, also known as Jesus, Jesus, Peru, Jesús, Peru (wd:Q125646): human settlement in Peru
8. Aaron Aguilera, also known as Jesús, Zodiac, Uno, Lujo Esquire (wd:Q2544720): American professional wrestler and actor, professional wrestler, television actor, film actor
9. Jesús (wd:Q27959449): 2016 film by Fernando Guzzoni
10. Ezequiel Guillermo Jesus Amaya, also known as Jesús (wd:Q5423218): association football player, Argentine footballer

[Assistant] The top result is the entity we're looking for: Jesus (wd:Q302). Now let's find the property that represents occupation or profession.

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. field of this occupation, also known as practice, works in, profession's field, practices, field of this profession (wd:P425 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): field corresponding to this occupation or profession (use only f...fessions - for people use Property:P101, for companies use P452)
3. members have occupation, also known as profession of members, organization of, organization for, organisation of, organisation for (wd:P3989 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): some or all members of this group share the occupation
4. practiced by, also known as proponent, studied by, practitioners, practioner, occupation of this field (wd:P3095 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): type of agents that study this subject or work in this field
5. position held, also known as function, held position, holds position, job, office held (wd:P39 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): subject currently or formerly holds the object position or public office
6. employer, also known as working at, working for, working place, works at, works for (wd:P108 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): person or organization for which the subject works or worked, affiliation
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): the object is a country that recognizes the subject as its citizen, country
8. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): person or organization occupying property, used by
9. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): specialization of a person or organization; see P106 for the occupation, interested in
10. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): location where persons or organisations were actively participating in employment, business or other work, significant place, location

[Assistant]
The property "occupation" (wd:P106) seems to be the most relevant for our purpose. Now let's construct a simple SPARQL query to find out what Jesus' occupation was according to Wikidata.

```sparql
SELECT ?occupation WHERE {
  wd:Q302 wdt:P106 ?occupation .
}
```

I'll execute this query now.

[Tool]
Got 12 rows and 1 column, showing the first 5 and last 5 rows below:
| occupation                      |
| ------------------------------- |
| rabbi (wd:Q133485)              |
| thaumaturge (wd:Q1349880)       |
| carpenter (wd:Q154549)          |
| religious leader (wd:Q15995642) |
| father of faith (wd:Q2142783)   |
| ...                             |
| teacher (wd:Q37226)             |
| prophet (wd:Q42857)             |
| preacher (wd:Q432386)           |
| Messiah (wd:Q51626)             |
| tektōn (wd:Q7695510)            |

[Assistant]
The query returned multiple occupations for Jesus. To provide a clear and concise answer, I will include the most commonly recognized occupations such as "rabbi," "carpenter," "religious leader," "teacher," "prophet," "preacher," and "Messiah."

Here is the final SPARQL query and the answer:

```sparql
SELECT ?occupation WHERE {
  wd:Q302 wdt:P106 ?occupation .
}
```

Answer: Jesus had several occupations, including rabbi, carpenter, religious leader, teacher, prophet, preacher, and Messiah.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?stadium WHERE {
  wd:Q599903 wdt:P115 ?stadium
}

The Irish rugby union team plays at the Aviva Stadium.

[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 do ireland play rugby union?

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

[Tool]
Example 1:
Question:
what country is located in the balkan peninsula?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q23522 wdt:P17 ?x .
}

Using entities:
Balkans, also known as The Balkans, South Balkan area, Peninsula of Haemus, Balkanoid, Haemus Peninsula (wd:Q23522): geopolitical and cultural region of Southeast Europe

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

Example 2:
Question:
who is the leader of japan?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q17 wdt:P6 ?x .
}

Using entities:
Japan, also known as State of Japan, Nippon-koku, Nippon, Nihon-koku, Nihon (wd:Q17): island country in East Asia

Using properties:
head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as wdt): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson

Example 3:
Question:
what was tupac name in juice?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q642419 p:P161 ?p .
  ?p ps:P161 wd:Q6107 ; pq:P453 ?x .
}

Using entities:
Tupac Shakur, also known as Tupac, Tupac Amaru Shakur, Makaveli, Tupac Omar Shakur, Lesane Crooks (wd:Q6107): American rapper (1971–1996), television actor, songwriter, film actor, lyricist, activist, writer, singer, rapper, actor, poet
Juice (wd:Q642419): 1992 film directed by Ernest Dickerson

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as p/ps): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
character role, also known as role, plays, performer of, as, acting role (wd:P453 as pq): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)

[Assistant] Based on the examples, we need to identify the entity representing Ireland and the property that indicates where they play rugby union. Let's start by searching for the entity "Ireland".

[Tool]
Top 10 entity alternatives:
1. Ireland, also known as Éire, Hibernia, Irish Republic, Republic of Ireland, Southern Ireland (wd:Q27): country in Northwestern Europe
2. Ireland, also known as Ireland (island), Irland, Irlanda, Erin, Irlande (wd:Q22890): island in the North Atlantic Ocean
3. Kingdom of Ireland, also known as Ireland (wd:Q215530): kingdom on the island of Ireland between 1542 and 1801
4. Bliss, also known as Ireland, Alentejo, Bliss.bmp (wd:Q2368): default computer wallpaper of Windows XP
5. Ireland, also known as Ireland, Bedfordshire (wd:Q1521115): hamlet in Bedfordshire, England
6. Ireland (wd:Q11256866): 2004 South Korean television series
7. Ireland, also known as Ireland, IN, Ireland, Indiana (wd:Q14688494): community in Indiana, United States
8. Ireland (wd:Q28199768): family name
9. Ireland in the Eurovision Song Contest 1965, also known as Ireland (wd:Q4203334): first participation
10. Ireland, also known as Ireland, West Virginia, Ireland, WV (wd:Q6068504): unincorporated community in Lewis County, West Virginia

[Assistant] The correct entity for Ireland is `wd:Q27`. Now, let's find the property that indicates where Ireland plays rugby union. We can search for properties related to "stadium" or "home ground" for the entity `wd:Q27`.

[Tool]
Top 10 property alternatives:
1. 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
2. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
3. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
4. anthem, also known as national anthem, team anthem, official song, official hymn, club anthem (wd:P85 as wdt/p): subject's official anthem
5. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as wdt/p): seat of government of a country, province, state or other type of administrative territorial entity
6. highest judicial authority, also known as supreme court, judiciary, judicial branch, has supreme court, court (wd:P209 as wdt/p): supreme judicial body within a country, administrative division, or other organization
7. detail map, also known as map (wd:P1621 as wdt/p): map containing details about the entire location, locator map image
8. geoshape, also known as Commons map data, geographic data, geographic shape, .map, map data (wd:P3896 as wdt/p): geographic data from Wikimedia Commons
9. locator map image, also known as locator map, map image, map (wd:P242 as wdt/p): geographic map image which highlights the location of the subject within some larger entity, image
10. flag, also known as flag description (wd:P163 as wdt/p): subject's flag

No other items found

[Assistant]
It seems that the property related to "stadium" or "home ground" is not directly associated with the entity `wd:Q27` (Ireland). Let's try a different approach by searching for the entity representing the Irish rugby team and then finding the property that indicates their home stadium.

First, let's search for the entity representing the Irish rugby team.

[Tool]
Top 10 entity alternatives:
1. Ireland national rugby league team, also known as Ireland rugby league team, Ireland Wolfhounds, Irish men's national rugby league team, Irish national rugby league team, Irish rugby league team (wd:Q3589812): represents Ireland in international rugby league
2. London Irish RFC, also known as The London Irish Ruby Club, The London Irish Ruby Team, The London Irish RFC, The London Irish Rugby, The London Irish Rugby Football Club (wd:Q1193020): English rugby union football club
3. London Irish Amateur, also known as London Irish Amateur Rugby, London Irish Amateur Rugby Team, London Irish Wild Geese, London Irish Wild Geese Rugby Club, London Irish Wild Geese Rugby Football (wd:Q16996879): English rugby union football club
4. rugby union team, also known as rugby team (wd:Q14645593): group of people that play rugby union
5. rugby league team, also known as rugby club, rugby league club, rugby team (wd:Q15221215): team that plays rugby league
6. England national rugby union team, also known as England rugby union team, England rugby team, England national rugby team, England Rugby (wd:Q378628): Men’s rugby union team representing England
7. France national rugby union team, also known as France national rugby team, France rugby team, France rugby union team (wd:Q518116): Men’s rugby union team representing France
8. South Africa national rugby union team, also known as Springboks, South Africa rugby union team, South Africa national rugby union, SA rugby team, SA national rugby union team (wd:Q498478): national rugby union team representing South Africa
9. Australia national rugby union team, also known as Australia national rugby team, Australian national rugby union team, Australia Rugby, Australia rugby team, Australia rugby union team (wd:Q622443): national team representing Australia in rugby union
10. Italy national rugby union team, also known as Italian rugby team, Italy rugby union team, Italy rugby team, Italy national rugby team, Italian rugby union team (wd:Q113135): Men’s rugby union team representing Italy

[Assistant]
The correct entity for the Irish rugby team is `wd:Q3589812`. Now, let's find the property that indicates where they play their home matches. We can search for properties related to "stadium" or "home ground" for the entity `wd:Q3589812`.

Let's search for these properties.

[Tool]
Top 10 property alternatives:
1. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
2. 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
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
5. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
6. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as wdt/p): item that is different from another item, with which it may be confused

No other items found

[Assistant]
It seems that the property related to "stadium" or "home ground" is not directly associated with the entity `wd:Q3589812` (Ireland national rugby league team). However, it's possible that the property is associated with the general concept of a rugby team or a specific match venue.

Let's try searching for the property "home ground" or "stadium" in a broader context and then see if it applies to the Irish rugby team.

First, let's search for the property "home ground" or "stadium" in general.

[Tool]
Top 10 property alternatives:
1. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): home stadium or venue of a sports team or applicable performing arts organization, location
2. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): person or organization occupying property, used by
3. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): the place where the person is or has been, resident, location
4. shipping port, also known as homeport (wd:P504 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): shipping port of the vessel (if different from "ship registry"):...stry". For warships, this will be the ship's assigned naval base, significant place
5. official residence, also known as resides at, lives in, palace, presidential mansion, presidential palace (wd:P263 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): the residence at which heads of government and other senior figures officially reside, residence
6. home world, also known as homeworld, home planet (wd:P1165 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): home planet or natural satellite for a fictional character or species
7. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): subject's ordinal position as qualitatively evaluated relative to other members of a group
8. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
9. recorded at studio or venue, also known as venue, studio, recording venue, recording studio, recorded at event (wd:P483 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): studio or location where a musical composition/release was recorded, recording location
10. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): larger work that a given work was published in, like a book, journal or music album, part of

[Assistant]
The property `wd:P115` (home venue) seems to be the most relevant for indicating the home ground or stadium of a sports team. Let's use this property to find the home ground of the Irish rugby team.

We will execute a SPARQL query to find the home venue of the Irish rugby team (`wd:Q3589812`).

[Tool] Got no rows and 1 columns

[Assistant]
It appears that the Irish rugby team (`wd:Q3589812`) does not have a direct `wdt:P115` (home venue) property. This might be because the entity `wd:Q3589812` is specifically for the rugby league team, and the rugby union team might be represented by a different entity.

Let's search for the entity representing the Irish rugby union team again to ensure we have the correct entity.

[Tool]
Top 10 entity alternatives:
1. Ireland rugby union team, also known as Ireland national rugby team, Ireland national rugby union team (wd:Q599903): Men’s rugby union team representing the island of Ireland
2. Ireland women's national rugby union team (wd:Q3589823): women’s rugby union team representing the island of Ireland
3. Ireland national rugby union sevens team, also known as Ireland national rugby sevens team, Ireland sevens rugby team (wd:Q7902223): national sevens rugby team
4. Ireland national under-20 rugby union team (wd:Q6068684): rugby team
5. Ireland national schoolboy rugby union team (wd:Q6068681): sports team
6. Ireland women's national rugby union sevens team, also known as Ireland women's national sevens team (wd:Q6068719): sevens national rugby team
7. History of the Ireland national rugby union team (wd:Q23808242)
8. national rugby union team (wd:Q58840819): rugby union team that represents a country in international competitions
9. England national rugby union team, also known as England rugby union team, England rugby team, England national rugby team, England Rugby (wd:Q378628): Men’s rugby union team representing England
10. France national rugby union team, also known as France national rugby team, France rugby team, France rugby union team (wd:Q518116): Men’s rugby union team representing France

[Assistant]
The correct entity for the Irish rugby union team is `wd:Q599903`. Now, let's use the property `wd:P115` (home venue) to find the home ground of the Irish rugby union team.

Let's execute the SPARQL query to find the home venue of the Irish rugby union team (`wd:Q599903`).

[Tool]
Got 1 row and 1 column:
| stadium                    |
| -------------------------- |
| Aviva Stadium (wd:Q244402) |

[Assistant]
The home ground of the Irish rugby union team is the Aviva Stadium (`wd:Q244402`).

Here is the final SPARQL query and answer:

```sparql
SELECT ?stadium WHERE { wd:Q599903 wdt:P115 ?stadium }
```

Answer: The Irish rugby union team plays at the Aviva Stadium.

[Tool] Stopped generation process