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

Montel Williams does not have a publicly documented disease in the Wikidata 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] what kind of disease does montel williams have?

[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

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. medical condition, also known as disability, suffers from, suffer from, sickness, paralympic disability (wd:P1050 as p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
8. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): 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 p/wdt): 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 p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)

No other items found

[Tool]
Top 10 entity alternatives:
1. disease, also known as ailments, sickness, other disease, medical disorder, MedicalCondition (wd:Q12136): abnormal condition negatively affecting organisms
2. illness, also known as disease, sickness (wd:Q814207): the state of being unwell
3. Ebola hemorrhagic fever, also known as Ebola disease, Ebola fever, Ebola virus disease, EHP, EVP (wd:Q51993): human disease
4. leprosy, also known as Hansen's disease, lepras (wd:Q36956): chronic infection caused by bacteria Mycobacterium leprae
5. Alzheimer's disease, also known as AD, Alzheimer’s Disease, Alzheimer's Disease, Alzheimers disease, Alzheimers dementia (wd:Q11081): progressive, neurodegenerative disease characterized by memory loss
6. allergy, also known as allergic disease, allergies, GO:0016068, hypersensitivity, Immunologic diseases. Allergy (wd:Q42982): immune system response to a substance that most people tolerate well
7. mental disorder, also known as psychological disorder, psychiatric morbidity, mental disorders, psychiatric illness, psychiatric disorders (wd:Q12135): distressing thought or behavior pattern
8. schizophrenia, also known as dementia praecox, dementia præcox, Kraepelin-Morel disease, Morel-Kraepelin disease, schizophrenia-1 (wd:Q41112): psychotic disorder characterized by emotional responsiveness and disintegration of thought process
9. hemorrhoid, also known as Hemorrhoid, hemorrhoidal disease, Hemorrhoids, piles (wd:Q41478): vascular structures in the anal canal
10. dengue fever, also known as dengue disease, dengue, classic dengue, classical dengue fever, breakbone fever (wd:Q30953): tropical disease caused by the dengue virus, transmitted by mosquito

No other items found

No literal items found

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?year WHERE {
  wd:Q169452 wdt:P1836 ?year
}

Shaq (Shaquille O'Neal) was drafted by the Los Angeles Lakers in 1992.

[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?

[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. Shaq (wd:Q105707018): male given name
3. Shaq (wd:Q108763753): episode of Curb Your Enthusiasm
4. Shaq Moore, also known as Shaquell Kwame Moore, Shaquell Moore (wd:Q20902179): association football player, American soccer player
5. Shaqlawa (wd:Q2231235): city in Iraq
6. sachima, also known as sàqímǎ, shāqímǎ (wd:Q3273854): Manchurian pastry made of fluffy strands of fried batter bound together with a stiff sugar syrup
7. Shaqra, also known as Shaqra, Saudi Arabia (wd:Q97291341): human settlement in Saudi Arabia
8. Michael Dapaah, also known as Roadman Shaq, MC Quakez, Big Shaq, Big Aristotle (wd:Q42310465): British comedian and singer, musician, actor
9. Chaqra/harare, also known as Chacra, Chakra, Chaqra and Doubay, Chaqra Doubiye, Chaqra wa Dubay (wd:Q2957566): town in Bint Jbeil District, Lebanon
10. Shaq Fu (wd:Q3278677): 1994 video game

[Tool]
Top 10 property alternatives:
1. draft pick number, also known as draft number (wd:P1836 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): overall pick number with which a player is selected in a sports draft, series ordinal
2. drafted by (wd:P647 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): which team the player was drafted by
3. draft, also known as draught (wd:P2262 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): depth below the water line to the bottom of a vessel's hull; summer draft is implied unless stated otherwise.
4. study or design for, also known as design for, draft for, first version of, preparatory work for, study for (wd:P6606 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): finished work of art for which the subject is a preliminary study, design, or conceptual drawing
5. The Draft Review ID, also known as Draft Review identifier, The Draft Review identifier, Draft Review ID (wd:P9514 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): identifier for a basketball player in the database of The Draft Review
6. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): date on which the subject was born, inception
7. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
8. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): position or specialism of a player on a team
9. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
10. participant, also known as suspect, player, party, participants, has participant (wd:P710 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person

[Tool] Got no rows and 1 columns

[Tool]
Got 1 row and 1 column:
| year                                |
| ----------------------------------- |
| 1989-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?spouse WHERE {
  wd:Q937 wdt:P26 ?spouse
}

Benjamin Franklin married Elsa Einstein and Mileva Marić.

[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?

[Tool]
Got 20 rows and 1 column, showing the first 5 and last 5 rows below:
| spouse                                                                         |
| ------------------------------------------------------------------------------ |
| Great Immigrants Award (wd:Q121359767)                                         |
| Honorary Fellow of the Royal Society Te Apārangi (wd:Q125121451)               |
| doctor honoris causa from the University of Paris (wd:Q126418747)              |
| Matteucci Medal (wd:Q1419938)                                                  |
| Foreign Member of the Royal Society (wd:Q14906020)                             |
| ...                                                                            |
| honorary doctorate from Princeton University (wd:Q42309226)                    |
| honorary doctor of the University of Madrid Complutense (wd:Q50621171)         |
| Member of the National Academy of Sciences of the United States (wd:Q63315195) |
| Gold Medal of the Royal Astronomical Society (wd:Q753072)                      |
| Barnard Medal for Meritorious Service to Science (wd:Q808424)                  |

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): 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 wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): 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 wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): 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 wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): 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 wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): 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 wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): 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 wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): 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 wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): 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 wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): qualifier to define a property constraint in combination with P2...h the property "relative" is "type of kinship" (P1039), not this

[Tool]
Got 2 rows and 1 column:
| spouse                    |
| ------------------------- |
| Elsa Einstein (wd:Q68761) |
| Mileva Marić (wd:Q76346)  |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language WHERE {
  wd:Q144 wdt:P176 ?language
}

Chinese people write in the Chinese language.

[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?

[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

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?owner WHERE {
  wd:Q181114 wdt:P127 ?owner .
}

The SPARQL query returned that Stellantis (wd:Q97439162) is the owner of Chrysler Corporation (wd:Q181114). However, historically, Chrysler was part of Fiat Chrysler Automobiles (now Stellantis) following a merger in 2014. For 2011, Chrysler was still under Fiat Chrysler, but the knowledge graph's data reflects the current ownership structure.

**Answer:** Stellantis (wd:Q97439162) owns Chrysler Corporation.

[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?

[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

[Tool]
Top 10 property alternatives:
1. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as p/wdt): owner of the subject
2. owner of, also known as owns, owns property, shareholder of (wd:P1830 as p/wdt): entities owned by the subject
3. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as p/wdt): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
4. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as p/wdt): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
5. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as p/wdt): founder or co-founder of this organization, religion, place or entity, creator
6. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as p/wdt): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
7. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. legal form, also known as legal structure, structured as (wd:P1454 as p/wdt): legal form of an entity, instance of
9. director / manager, also known as leader, manager, manager/director, managing director, Officer-in-Charge (wd:P1037 as p/wdt): person who manages any kind of group, significant person
10. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time

No other items found

[Tool]
Got 1 row and 1 column:
| owner                     |
| ------------------------- |
| Stellantis (wd:Q97439162) |

[Assistant]
The SPARQL query returned that Stellantis (wd:Q97439162) is the owner of Chrysler Corporation (wd:Q181114). However, historically, Chrysler was part of Fiat Chrysler Automobiles (now Stellantis) following a merger in 2014. For 2011, Chrysler was still under Fiat Chrysler, but the knowledge graph's data reflects the current ownership structure.

**Answer:** Stellantis (wd:Q97439162) owns Chrysler Corporation.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
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)            |

The SPARQL query retrieved various occupations and roles associated with Jesus (wd:Q302) from Wikidata. These include:

- Rabbi
- Thaumaturge
- Carpenter
- Religious leader
- Father of faith
- Teacher
- Prophet
- Preacher
- Messiah
- Tektōn (carpenter/artisan)

These roles reflect Jesus's known activities and titles in religious and societal contexts during his lifetime.

**Answer:**
Jesus is known for being a rabbi, thaumaturge, carpenter, religious leader, father of faith, teacher, prophet, preacher, and Messiah. These roles encompass his spiritual teachings, miracles, and earthly vocation.

[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?

[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

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/wdt): subject currently or formerly holds the object position or public office
3. employer, also known as working at, working for, working place, works at, works for (wd:P108 as p/wdt): person or organization for which the subject works or worked, affiliation
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
5. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
6. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as p/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location
7. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
8. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
9. lifestyle, also known as diet, follows lifestyle, has lifestyle, life style (wd:P1576 as p/wdt): typical way of life of an individual, group, or culture
10. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p/wdt): the place where the person is or has been, resident, location

No other items found

[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 SPARQL query retrieved various occupations and roles associated with Jesus (wd:Q302) from Wikidata. These include:

- Rabbi
- Thaumaturge
- Carpenter
- Religious leader
- Father of faith
- Teacher
- Prophet
- Preacher
- Messiah
- Tektōn (carpenter/artisan)

These roles reflect Jesus's known activities and titles in religious and societal contexts during his lifetime.

**Answer:**
Jesus is known for being a rabbi, thaumaturge, carpenter, religious leader, father of faith, teacher, prophet, preacher, and Messiah. These roles encompass his spiritual teachings, miracles, and earthly vocation.


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

Ireland play rugby union at Aviva Stadium (wd:Q244402).

[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?

[Tool] Got no rows and 1 columns

[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 national rugby union sevens team, also known as Ireland national rugby sevens team, Ireland sevens rugby team (wd:Q7902223): national sevens rugby team
3. 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
4. Ireland women's national rugby union team (wd:Q3589823): women’s rugby union team representing the island of Ireland
5. Ireland national under-20 rugby union team (wd:Q6068684): rugby team
6. Ireland women's national rugby league team (wd:Q109236577)
7. Ireland national schoolboy rugby union team (wd:Q6068681): sports team
8. Ireland national wheelchair rugby league team (wd:Q115824147)
9. Ireland A national rugby league team (wd:Q22084023)
10. Ireland women's national rugby union sevens team, also known as Ireland women's national sevens team (wd:Q6068719): sevens national rugby team

[Tool]
Top 10 property alternatives:
1. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as p/wdt): home stadium or venue of a sports team or applicable performing arts organization, location
2. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
3. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
4. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as p/wdt): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
5. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as p/wdt): subject's ordinal position as qualitatively evaluated relative to other members of a group
6. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as p/wdt): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
7. competition won, also known as won event, won, winner of, victory (wd:P2522 as p/wdt): competition or sports event won by the subject, participant in
8. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
9. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
10. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as p/wdt): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person

No other items found

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

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?team WHERE {
  wd:Q119562 wdt:P54 ?team .
}

Got 8 rows and 1 column:
| team                                                           |
| -------------------------------------------------------------- |
| Argentina national under-20 football team (wd:Q1187790)        |
| Club Atlético Independiente (wd:Q214978)                       |
| Argentina national under-23 football team (wd:Q2462207)        |
| Argentina national under-17 football team (wd:Q2902690)        |
| Manchester City F.C. (wd:Q50602)                               |
| FC Barcelona (wd:Q7156)                                        |
| Argentina men's national association football team (wd:Q79800) |
| Atlético de Madrid (wd:Q8701)                                  |

The SPARQL query to find the teams Sergio Agüero played for is:

```sparql
SELECT ?team WHERE {
  wd:Q119562 wdt:P54 ?team.
}
```

**Answer:** Sergio Agüero played for FC Barcelona, Manchester City F.C., Atlético de Madrid, and the Argentina national team, among others.

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

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

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

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

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

[User] what team did aguero play for?

[Tool]
Top 10 entity alternatives:
1. Agüero, also known as Agüero, Huesca (wd:Q399683): municipality in the province of Huesca, Spain
2. Agüero (wd:Q3296607): metro station in Buenos Aires
3. Agüero (wd:Q24013451): in Huesca province, Spain
4. Agüero (wd:Q61754610): family name
5. Aguero (wd:Q21491256): family name
6. Blanka Aguero, also known as Aguero, B.Shaw, Blanka Shaw (wd:Q21608757): bryologist, botanist
7. Sergio Agüero, also known as Sergio Leonel Agüero del Castillo (wd:Q119562): Argentine association football player, association football player, online streamer, businessperson
8. Taismary Agüero (wd:Q2590488): beach volleyball player, volleyball player
9. Fernando Agüero (wd:Q888684): politician (1920-2011), politician
10. Pablo Agüero (wd:Q3359955): Argentine film director, film director, screenwriter, director

[Tool]
Got 3 rows and 3 columns:
| subject                    | property              | object                                   |
| -------------------------- | --------------------- | ---------------------------------------- |
| Sergio Agüero (wd:Q119562) | occupation (wdt:P106) | association football player (wd:Q937857) |
| Sergio Agüero (wd:Q119562) | occupation (wdt:P106) | businessperson (wd:Q43845)               |
| Sergio Agüero (wd:Q119562) | occupation (wdt:P106) | online streamer (wd:Q57414145)           |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as p/wdt): sports teams or clubs that the subject represents or represented, member of
2. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as p/wdt): position or specialism of a player on a team
3. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
4. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
5. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
6. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
7. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
8. participant, also known as suspect, player, party, participants, has participant (wd:P710 as p/wdt): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)

No other items found

[Tool]
Got 8 rows and 3 columns:
| subject                    | property                        | object                                                         |
| -------------------------- | ------------------------------- | -------------------------------------------------------------- |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | FC Barcelona (wd:Q7156)                                        |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | Manchester City F.C. (wd:Q50602)                               |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | Atlético de Madrid (wd:Q8701)                                  |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | Argentina men's national association football team (wd:Q79800) |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | Club Atlético Independiente (wd:Q214978)                       |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | Argentina national under-20 football team (wd:Q1187790)        |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | Argentina national under-23 football team (wd:Q2462207)        |
| Sergio Agüero (wd:Q119562) | member of sports team (wdt:P54) | Argentina national under-17 football team (wd:Q2902690)        |

[Assistant]
The SPARQL query to find the teams Sergio Agüero played for is:

```sparql
SELECT ?team WHERE {
  wd:Q119562 wdt:P54 ?team.
}
```

**Answer:** Sergio Agüero played for FC Barcelona, Manchester City F.C., Atlético de Madrid, and the Argentina national team, among others.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language WHERE {
  wd:Q155 wdt:P37 ?language
}

The official language of Brazil is Portuguese.

[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 is the official language of brazil now?

[Tool]
Top 10 entity alternatives:
1. Brazil, also known as Federative Republic of Brazil, Brasil, br (wd:Q155): country in South America
2. Brazil, also known as br, Brasil, Federative Republic of Brazil (wd:Q155): country in South America
3. Brazil (wd:Q25057): 1985 dystopian film by Terry Gilliam
4. Brazil, also known as Brazil, Indiana, Brazil, IN (wd:Q1998364): city in Clay County, Indiana, United States
5. State of Brazil, also known as Brazil, Colonial Brazil, Portuguese Brazil (wd:Q11876909): state of the Portuguese Empire
6. Brazil, also known as Stars and Guitars (wd:Q4958616): 1944 film by Joseph Santley
7. Brazil, also known as Brazil, IA (wd:Q17511873): human settlement in Appanoose County, Iowa, United States
8. Viceroyalty of Brazil, also known as Brasil, Brazil (wd:Q2920081): Portuguese viceroyalty in Brazil 1763-1815
9. Brazil (wd:Q13581616): 1991 song by Bebi Dol
10. Brazil (wd:Q4095706): 1994 novel by John Updike

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt): language designated as official by this item, language used
2. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as p/wdt): language widely used (spoken or written) in this place or at this event or organisation
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
5. culture, also known as archaeological culture, civilisation, civilization (wd:P2596 as p/wdt): human culture or people (or several cultures) associated with this item, part of
6. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
7. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. external data available at URL, also known as data, external data URL, URL with external data (wd:P1325 as p/wdt): URL where external data on this item can be found
9. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
10. Unicode character, also known as emoji, emote, pictograph, Unicode symbol (wd:P487 as p/wdt): Unicode character representing the item (only if this is not a c...acter or a compatiblity character: in that case, use only P4213)

No other items found

[Tool]
Got 1 row and 1 column:
| language              |
| --------------------- |
| Portuguese (wd:Q5146) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?zip WHERE {
  wd:Q653636 wdt:P281 ?zip
}

The zip code for Morgantown, WV is not available in the Wikidata 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] what is the zip code for morgantown wv?

[Tool]
Top 10 entity alternatives:
1. Morgantown, also known as Morgantown, West Virginia, Morgantown, WV (wd:Q653636): city in and county seat of Monongalia County, West Virginia, United States
2. Morgantown urban area, also known as Morgantown, WV, Morgantown, WV Urban Area (wd:Q125805682): urban area in West Virginia
3. Morgantown metropolitan area, also known as Morgantown, WV Metropolitan Statistical Area, Morgantown, WV MSA, Morgantown, WV metropolitan area, Morgantown MSA, Morgantown metropolitan statistical area (wd:Q17081833): metropolitan area in West Virginia, United States
4. Morgantown, also known as Morgantown, Kentucky, Morgantown, KY (wd:Q2555567): county seat in Kentucky
5. Morgantown, also known as Morgantown, Indiana (wd:Q644950): human settlement in Morgan County, Indiana, United States of America
6. Morgantown, also known as Morgantown, PA, Morgantown, Pennsylvania (wd:Q3960025): census-designated place in Berks and Lancaster counties in Pennsylvania, United States
7. Morgantown, also known as Morgantown, Adams County, Mississippi, Morgantown, MS (wd:Q13580455): census-designated place in Adams County, Mississippi
8. Morgantown, also known as Morgantown, MS (wd:Q3612521): unincorporated community in Marion County, Mississippi
9. Morgantown, also known as Morgantown, Maryland, Morgantown, MD (wd:Q6911981): unincorporated community in Charles County, Maryland
10. Morgantown, also known as Morgantown, MS (wd:Q20658077): human settlement in Oktibbeha County, Mississippi, United States

[Tool] Got no rows and 1 columns

[Tool]
Got 352 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                                                    | object                                                                                |
| ----------------------- | ----------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Morgantown (wd:Q653636) | instance of (wdt:P31)                                       | county seat (wd:Q62049)                                                                                |
| Morgantown (wd:Q653636) | country (wdt:P17)                                           | United States (wd:Q30)                                                                                |
| Morgantown (wd:Q653636) | located in the administrative territorial entity (wdt:P131) | Monongalia County (wd:Q488649)                                                                                |
| Morgantown (wd:Q653636) | coordinate location (wdt:P625)                              | POINT(-79.950556 39.633611) (geo:wktLiteral)                                                                                |
| Morgantown (wd:Q653636) | Commons category (wdt:P373)                                 | Morgantown, West Virginia                                                                                |
| Morgantown (wd:Q653636) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/City%20of%20Morgantown%20from%20the%20west%20side%20of%20the%20Monongahela%20River%2C%20May%202012.jpg> |
| Morgantown (wd:Q653636) | population (wdt:P1082)                                      | 30347 (xsd:decimal)                                                                                |
| Morgantown (wd:Q653636) | inception (wdt:P571)                                        | 1772-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| Morgantown (wd:Q653636) | described by source (wdt:P1343)                             | Encyclopædia Britannica 11th edition (wd:Q867541)                                                                                |
| Morgantown (wd:Q653636) | official website (wdt:P856)                                 | <https://www.morgantownwv.gov/>                                                                                |
| ...                     | ...                                                         | ...                                                                                |

[Tool]
Top 10 property alternatives:
1. postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): identifier assigned by postal authorities for the subject area or building
2. local dialing code, also known as area code, dialling code, local calling code, local dialling code, STD code (wd:P473 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): identifier dedicated to subject city by the area communication network
3. country calling code, also known as calling code, country code, country dialing code, dialing code, phone code (wd:P474 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): identifier for a country - dialed on phone after the international dialing prefix (precede value by +)
4. location code (wd:P13262 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): an assigned code for the location (physical or virtual) within a given system (please use more specific property if available), catalog code
5. CDDA designationTypeCode, also known as designated area code, CDDA type ID, CDDA type, CDDA, CDDA code (wd:P9800 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): code for the national designation type used in the Common Database on Designated Areas inventory (CDDA)
6. Dictionary of Occupational Titles Code (fourth edition, revised), also known as DOT code (wd:P8679 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): occupation code from the Dictionary of Occupational Titles, fourth edition, revised
7. post office box, also known as PO Box, Post Office Box, P.O. Box, P. O. Box, P O Box (wd:P2918 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): post office box number, as part of an address
8. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
9. series ordinal, also known as ordinal, unit number, sort order, sorting order, series number (wd:P1545 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): position of an item in its parent series (most frequently a 1-ba...d from "ranking" defined as a property for evaluating a quality)
10. issue, also known as number, no., issue number (wd:P433 as wdtn/psv/pqv/pq/pr/prn/pqn/psn/prv/ps/p/wdt): issue of a newspaper, a scientific journal or magazine for reference purpose

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
Got more than the maximum supported number of object candidates (65,536)

Top 10 entity alternatives:
1. Morgantown, also known as Morgantown, West Virginia, Morgantown, WV (wd:Q653636): city in and county seat of Monongalia County, West Virginia, United States
2. Morgantown urban area, also known as Morgantown, WV, Morgantown, WV Urban Area (wd:Q125805682): urban area in West Virginia
3. Morgantown metropolitan area, also known as Morgantown, WV Metropolitan Statistical Area, Morgantown, WV MSA, Morgantown, WV metropolitan area, Morgantown MSA, Morgantown metropolitan statistical area (wd:Q17081833): metropolitan area in West Virginia, United States
4. Morgantown, also known as Morgantown, Kentucky, Morgantown, KY (wd:Q2555567): county seat in Kentucky
5. Morgantown, also known as Morgantown, Indiana (wd:Q644950): human settlement in Morgan County, Indiana, United States of America
6. Morgantown, also known as Morgantown, PA, Morgantown, Pennsylvania (wd:Q3960025): census-designated place in Berks and Lancaster counties in Pennsylvania, United States
7. Morgantown, also known as Morgantown, Adams County, Mississippi, Morgantown, MS (wd:Q13580455): census-designated place in Adams County, Mississippi
8. Morgantown, also known as Morgantown, MS (wd:Q3612521): unincorporated community in Marion County, Mississippi
9. Morgantown, also known as Morgantown, Maryland, Morgantown, MD (wd:Q6911981): unincorporated community in Charles County, Maryland
10. Morgantown, also known as Morgantown, MS (wd:Q20658077): human settlement in Oktibbeha County, Mississippi, United States

No other items found

No literal items found

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?date WHERE {
  wd:Q203008 wdt:P166 ?award .
  ?award wdt:P31 wd:Q111522 .
  ?award wdt:P571 ?date .
}
ORDER BY DESC ( ?date )
LIMIT 1

The last time the LA Kings won a playoff series (Stanley Cup) was on 2022-06-12.

[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 was the last time the la kings won a playoff series?

[Tool]
Top 10 entity alternatives:
1. Los Angeles Kings, also known as LA Kings (wd:Q203008): hockey team of the National Hockey League
2. LA Kings (wd:Q114547435): episode of Cupcake Wars (S2 E3)
3. Kings Langley, also known as King's Langley, Kings Langley, Hertfordshire, Langley Regina, Langley Regis (wd:Q19807): village and civil parish in Hertfordshire, England
4. Latin Kings, also known as 18st, INCA, Reyes Latinos (wd:Q534297): largest Latino street gang
5. Kingston, also known as Kingston, Louisiana, Kingston, LA (wd:Q6413420): unincorporated community in DeSoto Parish, Louisiana
6. Kings Langley, also known as Kings Langley, New South Wales, Kings Langley, New South Wales, Australia (wd:Q6272013): suburb of Sydney, New South Wales, Australia
7. Tontos, also known as latin kings, Nortenos, Norteñas, Norputos, Norcacas (wd:Q2112443): gente
8. Kings Lake (wd:Q22073712): lake in McLeod County, Minnesota, United States
9. Kings Lake (wd:Q22420428): lake in Algoma District, Ontario, Canada
10. Kings Lake (wd:Q25204379): lake in Codington County, South Dakota, USA

[Tool]
Top 10 property alternatives:
1. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as p/wdt): league or competition in which team or player has played, or in which an event occurs, participant in
2. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
3. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
4. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. SportsLogos.net team ID, also known as SportsLogos.net ID (wd:P9122 as p/wdt): identifier for a sports organization on the website Sports Logos
6. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as p/wdt): home stadium or venue of a sports team or applicable performing arts organization, location
7. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as p/wdt): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
8. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
9. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
10. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category

No other items found

[Tool]
Got 275 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                           | object                                 |
| ------------------------------ | ---------------------------------- | -------------------------------------- |
| Los Angeles Kings (wd:Q203008) | instance of (wdt:P31)              | ice hockey team (wd:Q4498974)          |
| Los Angeles Kings (wd:Q203008) | country (wdt:P17)                  | United States (wd:Q30)                 |
| Los Angeles Kings (wd:Q203008) | Commons category (wdt:P373)        | Los Angeles Kings                      |
| Los Angeles Kings (wd:Q203008) | inception (wdt:P571)               | 1966-01-01T00:00:00Z (xsd:dateTime)    |
| Los Angeles Kings (wd:Q203008) | sport (wdt:P641)                   | ice hockey (wd:Q41466)                 |
| Los Angeles Kings (wd:Q203008) | official website (wdt:P856)        | <http://kings.nhl.com/>                |
| Los Angeles Kings (wd:Q203008) | award received (wdt:P166)          | Clarence S. Campbell Bowl (wd:Q922116) |
| Los Angeles Kings (wd:Q203008) | topic's main category (wdt:P910)   | wd:Q6393060                            |
| Los Angeles Kings (wd:Q203008) | social media followers (wdt:P8687) | 1169600 (xsd:decimal)                  |
| Los Angeles Kings (wd:Q203008) | named after (wdt:P138)             | king (wd:Q12097)                       |
| ...                            | ...                                | ...                                    |

[Tool] Stopped generation process