PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?genre WHERE {
  wd:Q4700 wdt:P136 ?genre
}

Claude Debussy was associated with the following music genres: opera (Q1344), classical music (Q9730), and impressionist music (Q105697765).

[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 type of music did claude debussy play?

[Tool]
Top 10 entity alternatives:
1. Claude Debussy, also known as C. Debussy, Achille-Claude, Claude Achille Debussy, Claude-Achille Debussy, Debussy (wd:Q4700): French classical composer (1862–1918), music critic, composer, pianist
2. Claude Debussy (wd:Q17491085): painting by Marcel Baschet
3. Musée Claude-Debussy, also known as Claude Debussy Museum, Maison Claude Debussy (wd:Q19387976): museum in France
4. Claude Debussylaan (wd:Q18980854): street in Amsterdam, the Netherlands
5. allée Claude Debussy (wd:Q121600379): alley of Châtillon, in Hauts-de-Seine
6. allée Claude Debussy (wd:Q116242003): alley in Châtenay-Malabry, France
7. allée Claude Debussy (wd:Q113455135): alley in Clichy-sous-Bois, France
8. allée Claude Debussy (wd:Q113413920): alley in Villetaneuse, en Seine-Saint-Denis
9. allée Claude Debussy (wd:Q112064008): alley in L'Haÿ-les-Roses, France
10. allée Claude Debussy (wd:Q111916504): alley in Valenton, France

[Tool]
Got 3 rows and 3 columns:
| subject                   | property         | object                              |
| ------------------------- | ---------------- | ----------------------------------- |
| Claude Debussy (wd:Q4700) | genre (wdt:P136) | opera (wd:Q1344)                    |
| Claude Debussy (wd:Q4700) | genre (wdt:P136) | classical music (wd:Q9730)          |
| Claude Debussy (wd:Q4700) | genre (wdt:P136) | impressionist music (wd:Q105697765) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?case WHERE {
  ?case wdt:P31 wd:Q2334719 .
  ?case wdt:P17 wd:Q30 .
  ?case wdt:P1433 wd:Q302686
}

Got 15,142 rows and 1 column, showing the first 5 and last 5 rows below:
| case                                                                       |
| -------------------------------------------------------------------------- |
| Griswold v. Connecticut (wd:Q1053373)                                      |
| Kansas v. Hendricks (wd:Q10543344)                                         |
| New York Times v. Sullivan (376 U.S. 967) (wd:Q10748930)                   |
| Louisville, New Orleans & Texas Railway Co. v. Mississippi (wd:Q108532351) |
| United States v. Comstock (wd:Q11241879)                                   |
| ...                                                                        |
| Zedner v. United States (wd:Q8068384)                                      |
| Zelman v. Simmons-Harris (wd:Q8068821)                                     |
| Zobrest v. Catalina Foothills School District (wd:Q8073200)                |
| Zschernig v. Miller (wd:Q8074787)                                          |
| Brown v. Board of Education (wd:Q875738)                                   |

The SPARQL query retrieves U.S. Supreme Court cases published in the United States Reports. The result includes 15,142 cases, such as Brown v. Board of Education, Griswold v. Connecticut, and New York Times v. Sullivan. For a more specific list, additional filters (e.g., time range, legal topic) would be needed.

[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 are the supreme court cases?

[Tool]
Top 10 entity alternatives:
1. Supreme Court of the United States, also known as US Supreme Court, U.S. Supreme Court, United States Supreme Court, Supreme Court of the U.S., SCOTUS (wd:Q11201): highest court of jurisdiction in the United States
2. supreme court, also known as apex court, court of last resort, highest court of appeal (wd:Q190752): highest court in a jurisdiction
3. Supreme Court of India, also known as Indian Supreme Court, India Supreme Court, SCI, SCOI, SCOIN (wd:Q213380): Highest court of jurisdiction in the Republic of India
4. U.S. state supreme court, also known as supreme court (wd:Q7603882): highest court of a U.S. state's judicial system
5. Supreme Court, also known as Pragati Maidan (wd:Q7237614): metro station in Delhi, India
6. Supreme Court, also known as Supreme Court of Hong Kong (wd:Q7644839): former high court of Hong Kong
7. Court of Cassation, also known as Corte di cassazione, Supreme Court (wd:Q3694720): Supreme Court of Vatican City
8. Supreme Court (wd:Q7644844): British-bred Thoroughbred racehorse
9. Supreme Court, also known as High Court of Saudi Arabia, Saudi Arabia Supreme Court, Supreme Court of Saudi Arabia (wd:Q16117686)
10. Supreme Court, also known as Obergericht (wd:Q29651718): court building in the city of Bern, Switzerland

[Tool]
Top 10 property alternatives:
1. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
2. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
3. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as p/wdt): main Wikidata property for this item
4. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
5. 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
6. Microsoft Academic ID, also known as MS Academic ID, Microsoft ID, Microsoft Academic Work ID, Microsoft Academic topic ID, Microsoft Academic Source ID (wd:P6366 as wdtn/p/wdt): identifier for an object or topic in the Microsoft Academic Graph (until 31 December 2021)
7. facet of, also known as subitem of, topic of, subtopic of, subject in, section in (wd:P1269 as p/wdt): topic of which this item is an aspect; item that offers a broader perspective on the same topic
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. opposite of, also known as is the opposite of, opposite to, opposite, is opposite of, inverse (wd:P461 as p/wdt): item that is in some way the opposite of this item
10. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as p/wdt): item that is different from another item, with which it may be confused

No other items found

[Tool]
Top 10 property alternatives:
1. 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)
2. 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)
3. 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
4. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as p/wdt): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
5. applies to jurisdiction, also known as belongs to jurisdiction, applies to territorial jurisdiction, applies to region, applies to place, applies to geographic place (wd:P1001 as p/wdt): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), significant place, characteristic of, operating area
6. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
7. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
8. 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
9. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
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 no rows and 1 columns

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Tool]
Top 10 entity alternatives:
1. Brown v. Board of Education, also known as Oliver Brown, et al. v. Board of Education of Topeka, et al., Brown v. Board of Education of Topeka, Brown case, Brown v Board of Education (wd:Q875738): 1954 U.S. Supreme Court case which declared school segregation unconstitutional
2. Brown v. Board of Education (wd:Q19090247)
3. Brown v. Board of Education II (wd:Q25536284): 1955 Supreme Court ruling to integrate schools "with all deliberate speed"
4. Brown v. Board of Education of Topeka (wd:Q19090256): United States Supreme Court case
5. Brown v. Board of Education Overseas (wd:Q106928885): scientific article
6. Brown v. Board of Education: Virginia Responds (wd:Q132754117): online exhibition from Library of Virginia
7. Brown vs. the Board of Education (wd:Q114547262): episode of Murphy Brown (S7 E1)
8. Brown v. Board of Education National Historical Park, also known as Monroe School, Monroe Elementary School, BRVB (wd:Q991084): National Historic Site of the United States in Topeka, Kansas
9. South Carolina State Board of Education v. Brown (wd:Q19049000)
10. Brown v. Board of Education of Topeka Shawnee County Kansas (wd:Q19090261): United States Supreme Court case

[Tool]
Got 260 rows and 3 columns, showing the first 10 rows below:
| subject                                  | property                                       | object                                                                                |
| ---------------------------------------- | ---------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Brown v. Board of Education (wd:Q875738) | instance of (wdt:P31)                          | legal case (wd:Q2334719)                                                                                |
| Brown v. Board of Education (wd:Q875738) | publication date (wdt:P577)                    | 1954-05-17T00:00:00Z (xsd:dateTime)                                                                                |
| Brown v. Board of Education (wd:Q875738) | published in (wdt:P1433)                       | United States Reports (wd:Q302686)                                                                                |
| Brown v. Board of Education (wd:Q875738) | main subject (wdt:P921)                        | Equal Protection Clause (wd:Q1137223)                                                                                |
| Brown v. Board of Education (wd:Q875738) | country (wdt:P17)                              | United States (wd:Q30)                                                                                |
| Brown v. Board of Education (wd:Q875738) | Commons category (wdt:P373)                    | Brown v. Board of Education                                                                                |
| Brown v. Board of Education (wd:Q875738) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/The%20Rules%20of%20the%20Supreme%20Court%20%28No.%201%29%20%28Northern%20Ireland%29%201972%20%28NISRO%201972-1%29.pdf> |
| Brown v. Board of Education (wd:Q875738) | followed by (wdt:P156)                         | massive resistance (wd:Q6784808)                                                                                |
| Brown v. Board of Education (wd:Q875738) | on focus list of Wikimedia project (wdt:P5008) | WikiProject Human Rights (wd:Q13382529)                                                                                |
| Brown v. Board of Education (wd:Q875738) | significant event (wdt:P793)                   | oral argument (wd:Q7099379)                                                                                |
| ...                                      | ...                                            | ...                                                                                |

[Tool]
Got 15,142 rows and 1 column, showing the first 5 and last 5 rows below:
| case                                                                       |
| -------------------------------------------------------------------------- |
| Griswold v. Connecticut (wd:Q1053373)                                      |
| Kansas v. Hendricks (wd:Q10543344)                                         |
| New York Times v. Sullivan (376 U.S. 967) (wd:Q10748930)                   |
| Louisville, New Orleans & Texas Railway Co. v. Mississippi (wd:Q108532351) |
| United States v. Comstock (wd:Q11241879)                                   |
| ...                                                                        |
| Zedner v. United States (wd:Q8068384)                                      |
| Zelman v. Simmons-Harris (wd:Q8068821)                                     |
| Zobrest v. Catalina Foothills School District (wd:Q8073200)                |
| Zschernig v. Miller (wd:Q8074787)                                          |
| Brown v. Board of Education (wd:Q875738)                                   |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?currency WHERE {
  wd:Q244 wdt:P38 ?currency
}

The currency used in Barbados is the Barbadian dollar.

```sparql
SELECT ?currency WHERE { wd:Q244 wdt:P38 ?currency }
```

<answer>
The currency to take to Barbados is the Barbadian dollar (BBD).
</answer>

[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 currency to take to barbados?

[Tool]
Top 10 entity alternatives:
1. Barbados, also known as 🇧🇧, BAR, Barbadoes, bb, BB (wd:Q244): island nation in the Caribbean
2. Barbados (wd:Q807306): Swedish dansband
3. Barbados (wd:Q4858589): single by Typically Tropical
4. Barbados (wd:Q4858586): musical composition by Charlie Parker
5. Barbados (wd:Q10426260): 1995 studio album by Barbados
6. Barbados (wd:Q16950300): song
7. Barbados (wd:Q2649101): plantation in Surinam
8. Barbados (wd:Q98687855): jazz blues by Charlie Parker
9. Barbados (wd:Q74608067): scientific article published on 01 June 1987
10. Barbados (wd:Q59508554): painting by J.E.H. MacDonald

[Tool]
Got 1 row and 1 column:
| currency                      |
| ----------------------------- |
| Barbadian dollar (wd:Q194351) |

[Assistant]
The currency used in Barbados is the Barbadian dollar.

```sparql
SELECT ?currency WHERE { wd:Q244 wdt:P38 ?currency }
```

<answer>
The currency to take to Barbados is the Barbadian dollar (BBD).
</answer>


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?inception WHERE {
  wd:Q650840 wdt:P571 ?inception
}

The Philadelphia Phillies began in the year 1883.

[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 year did the phillies begin?

[Tool]
Top 10 entity alternatives:
1. Philadelphia Phillies, also known as Phillies, Quakers, Phils, Philadelphia Quakers (wd:Q650840): baseball team in Philadelphia, Pennsylvania, United States, Major League Baseball team
2. Philadelphia Phillies, also known as Philadelphia Quakers, Phillies, Quakers, Phils (wd:Q650840): baseball team in Philadelphia, Pennsylvania, United States, Major League Baseball team
3. Phillies (wd:Q7185587): American cigar brand
4. Phillies (wd:Q107656842): family name
5. Clearwater Threshers, also known as Clearwater Phillies (wd:Q5130963): minor league baseball team in Clearwater, Florida
6. Reading Fightin Phils, also known as Reading Fightins, Reading Phillies, Reading Phils, R-Phils (wd:Q3381063): minor league baseball team in Reading, Pennsylvania, U.S.
7. Bend Phillies (wd:Q104841273): minor League Baseball team
8. Huron Phillies (wd:Q56274813): Minor League Baseball team
9. George D. Phillies, also known as George Phillies, GD Phillies (wd:Q74468672): researcher, politician
10. Dothan Phillies (wd:Q16962478): Minor League Baseball team

[Tool]
Got 1 row and 1 column:
| inception                           |
| ----------------------------------- |
| 1883-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] The Philadelphia Phillies began in the year 1883.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?voiceActor WHERE {
  wd:Q12206942 wdt:P725 ?voiceActor
}

Got 3 rows and 1 column:
| voiceActor                     |
| ------------------------------ |
| James Earl Jones (wd:Q203960)  |
| Jean-Louis Faure (wd:Q3166756) |
| Philippe Catoire (wd:Q3379526) |

The voice actors for Darth Vader in the original Star Wars movies include James Earl Jones (English), Jean-Louis Faure (French dub), and Philippe Catoire (French dub).

[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 voiced darth vader in the original star wars movies?

[Tool]
Top 10 entity alternatives:
1. Darth Vader, also known as Anakin Skywalker, Vader, Lord Vader (wd:Q12206942): main villain of the Star Wars Trilogy, commander-in-chief, starship pilot, mass murderer, war criminal, swordfighter, knight
2. Darth Vader, also known as Darth Oleksiyovych Vader (wd:Q15995646): Ukrainian politician, politician
3. Darth Vader, also known as 1978 Darth Vader (wd:Q125307067): 1978 Star Wars miniature action figure
4. Darth Vader (wd:Q47512405): painting by Marshall Arisman
5. Darth Vader Grotesque (wd:Q5225625): artwork by Jay Hall Carpenter
6. Darth & Vader (wd:Q19705315)
7. The Imperial March, also known as Darth Vader's Theme, Imperial March (wd:Q2061833): musical theme composed by John Williams for the 1980 film "Star Wars: The Empire Strikes Back"
8. Star Wars: Darth Vader (wd:Q30895582): American comic book series
9. Darth Vader's lightsaber, also known as Darth Vader's laser sword (wd:Q109322280): fictional weapon from Star Wars
10. Shawn Rescues Darth Vader (wd:Q50814533): episode of Psych (S6 E1)

[Tool]
Got 637 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                                        | object                                                                                |
| -------------------------- | ----------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------- |
| Darth Vader (wd:Q12206942) | instance of (wdt:P31)                           | literary character (wd:Q3658341)                                                                                |
| Darth Vader (wd:Q12206942) | occupation (wdt:P106)                           | knight (wd:Q102083)                                                                                |
| Darth Vader (wd:Q12206942) | sex or gender (wdt:P21)                         | male (wd:Q6581097)                                                                                |
| Darth Vader (wd:Q12206942) | given name (wdt:P735)                           | Anakin (wd:Q112648409)                                                                                |
| Darth Vader (wd:Q12206942) | Commons category (wdt:P373)                     | Darth Vader                                                                                |
| Darth Vader (wd:Q12206942) | image (wdt:P18)                                 | <http://commons.wikimedia.org/wiki/Special:FilePath/Anime%20Friends%202016%20%2828204286635%29%20%28no%20background%29.png> |
| Darth Vader (wd:Q12206942) | country of citizenship (wdt:P27)                | Galactic Republic (wd:Q733195)                                                                                |
| Darth Vader (wd:Q12206942) | family name (wdt:P734)                          | Skywalker (wd:Q20088958)                                                                                |
| Darth Vader (wd:Q12206942) | inception (wdt:P571)                            | 1977-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| Darth Vader (wd:Q12206942) | languages spoken, written or signed (wdt:P1412) | English (wd:Q1860)                                                                                |
| ...                        | ...                                             | ...                                                                                |

[Tool]
Top 10 property alternatives:
1. voice actor, also known as voice actors, voice dubber, voice actress, voice actresses, voiced by (wd:P725 as p/wdt): performer of a spoken role in a creative work such as animation,... (P453) as qualifier] [use "cast member" (P161) for live acting], film crew member, cast member
2. Behind The Voice Actors character ID, also known as Behind The Voice Actors character identifier, BTVA character ID, BTVA character identifier (wd:P5107 as p/wdt): identifier of a character from the Behind The Voice Actors website
3. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as p/wdt): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
4. 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)
5. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as p/wdt): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)
6. 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
7. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as p/wdt): full name of a person at birth, if different from their current, generally used name, name
8. theme music, also known as theme song (wd:P942 as p/wdt): theme music/song used by the item
9. superhuman feature or ability, also known as has superpower, magic, magic ability, magical ability, supernatural abilities (wd:P2563 as p/wdt): superhuman, supernatural, or paranormal abilities that the fictional subject exhibits, uses
10. member of the crew of, also known as crewmember of, crew of, member of crew, served aboard, ship appointments (wd:P5096 as p/wdt): person who has been a member of a crew associated with the vesse...e of crew member (P1029), backup or reserve team or crew (P3015), member of

No other items found

[Tool]
Got 3 rows and 1 column:
| voiceActor                     |
| ------------------------------ |
| James Earl Jones (wd:Q203960)  |
| Jean-Louis Faure (wd:Q3166756) |
| Philippe Catoire (wd:Q3379526) |

[Tool] Stopped generation process


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?vp ?label WHERE {
  ?vp p:P39 ?statement .
  ?statement ps:P39 wd:Q48310 .
  ?statement pq:P580 ?startDate .
  OPTIONAL {
    ?statement pq:P582 ?endDate .
  }
  FILTER ( ?startDate <= "1963-11-22" ^^ xsd:date && ( ! BOUND( ?endDate ) || ?endDate >= "1961-01-20" ^^ xsd:date ) ) .
  ?vp rdfs:label ?label .
  FILTER ( LANG( ?label ) = "en" )
}

The SPARQL queries executed did not return any results for the vice president during John F. Kennedy's presidency. This could be due to incomplete or missing data in the Wikidata knowledge graph for this specific historical relationship. Despite multiple attempts to query using relevant properties and date ranges, no matching entities were found.

[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 was vice president when jfk was president?

[Tool]
Top 10 entity alternatives:
1. John F. Kennedy, also known as John Kennedy, John Fitzgerald Kennedy, John F Kennedy, Kennedy, President Kennedy (wd:Q9696): President of the United States from 1961 to 1963, anti-communist, naval officer, statesperson, journalist, politician, writer
2. John F. Kennedy, also known as CVN-79, PCU John F. Kennedy, USS John F. Kennedy (wd:Q240666): 2019 Gerald R. Ford-class aircraft carrier
3. MV John F. Kennedy, also known as IMO 8643195, John F. Kennedy (wd:Q29378914): Staten Island Ferry vessel.
4. John F Kennedy (wd:Q22006430): horse
5. John F. Kennedy (wd:Q130973914): sculpture by Evangelos Frudakis
6. John F. Kennedy, also known as John Flanders Kennedy (wd:Q28836957): American politician and member of the Georgia State Senate, politician
7. John F Kennedy (wd:Q42586306): cultural heritage monument in Aruba
8. Rosa 'John F. Kennedy', also known as John F. Kennedy (wd:Q83668459): rose cultivar
9. John F. Kennedy (wd:Q80912685): scientific article published on 01 November 1963
10. John F. Kennedy (wd:Q78526936): edition; published in 1997

[Tool] Got no rows and 1 columns

[Tool]
Top 10 property alternatives:
1. 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
2. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as p/wdt): the political party of which a person is or has been a member or otherwise affiliated, member of
3. candidacy in election, also known as ran in election, running in election, election candidacy, candidate in election, candidate in (wd:P3602 as p/wdt): election where the subject is a candidate, participant in
4. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as p/wdt): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
5. 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
6. 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
7. 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)
8. 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
9. allegiance, also known as ally of, fidelity, loyal to, loyalty, supporter of (wd:P945 as p/wdt): country (or other power) that the person or group serves
10. godparent, also known as godfather, godmother (wd:P1290 as p/wdt): person who is the godparent of a given person, relative

No other items found

[Tool] Got no rows and 2 columns

[Tool] Got no rows and 2 columns

[Tool] Got no rows and 2 columns

[Tool] Got no rows and 2 columns

[Tool] Stopped generation process


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?governor WHERE {
  wd:Q17989863 p:P39 ?statement .
  ?statement ps:P39 ?governor ; pq:P580 ?startDate .
  FILTER ( ?startDate <= "2011-12-31" ^^ xsd:date && ( ?startDate >= "2011-01-01" ^^ xsd:date || ! bound( ?endDate ) ) )
}

The governor of Ohio in 2011 was Ted Strickland (wd:Q126704).

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

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

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

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

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

[User] who is governor of ohio 2011?

[Tool]
Top 10 entity alternatives:
1. Ohio, also known as US-OH, State of Ohio, OH, Buckeye State, Ohio, United States (wd:Q1397): state of the United States of America
2. Ohio, also known as Buckeye State, OH, US-OH, Ohio, United States, State of Ohio (wd:Q1397): state of the United States of America
3. Ohio, also known as Ohio, IL, Ohio, Illinois (wd:Q944935): village in Bureau County, Illinois, United States
4. Ohio, also known as Ohio, New York, Ohio, NY (wd:Q927274): town in New York, United States
5. Ohio (wd:Q2137506): protest song written and composed by Neil Young
6. Ohio (wd:Q7080727): song from the 1953 Broadway musical "Wonderful Town"
7. Ohio, also known as Ohio, MO, Ohio, Missouri (wd:Q21197484): human settlement in St. Clair County, Missouri, United States
8. Ohio, also known as Ohio, Kansas (wd:Q48849126): place in Kansas, United States
9. Ohio, also known as Ohio, Texas, Ohio, TX (wd:Q24260758): human settlement in United States of America
10. USS Turquoise, also known as Walucia III, Esmeraldas, USS PC-459, Turquoise, PY-18 Turquoise (wd:Q23003188): private motor yacht, later a patrol yacht for the U.S. Navy and Ecuadorian Navy

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. Governor of Ohio, also known as Governor of the State of Ohio, Ohio Governor (wd:Q17989863): head of state and of government of the U.S. state of Ohio
2. Lieutenant Governor of Ohio, also known as Ohio Lieutenant Governor (wd:Q1660669): political office in Ohio, USA
3. Cabinet of the Governor of Ohio (wd:Q5015582)
4. Allen, William (governor of Ohio) (wd:Q115677191): article in The Biographical Dictionary of America
5. family of the Governor of Ohio, also known as First Family of Ohio (wd:Q111903237)
6. Ohio State Office of the Governor (wd:Q33121995): government organization in Columbus, United States
7. Portrait of William Bebb, Governor of Ohio (wd:Q131839779)
8. Portrait of Charles Anderson (governor), Governor of Ohio (wd:Q125555578): painting by Charles T. Webber
9. Portrait of Mordecai Bartley, Governor of Ohio (wd:Q131402143): painting by Richard T. Clarke (1820-1885)
10. Doctor Edward Tiffin, first governor of Ohio. (wd:Q52529336): scientific article published in September 1947

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?actor WHERE {
  wd:Q694790 wdt:P1441 ?work .
  ?work wdt:P161 ?actor
}

Got 132 rows and 1 column, showing the first 5 and last 5 rows below:
| actor                                |
| ------------------------------------ |
| Christopher McDonald (wd:Q102245209) |
| Sara Sampaio (wd:Q10368401)          |
| Milly Alcock (wd:Q108816955)         |
| Skyler Gisondo (wd:Q1190692)         |
| Pruitt Taylor Vince (wd:Q1198697)    |
| ...                                  |
| Jared Leto (wd:Q484523)              |
| Ezra Miller (wd:Q508049)             |
| Harry Lennix (wd:Q608709)            |
| Samantha Win (wd:Q7408678)           |
| Ray Porter (wd:Q97704240)            |

Actors who have played Lex Luthor include Christopher McDonald, Sara Sampaio, Milly Alcock, Skyler Gisondo, Pruitt Taylor Vince, ... (132 total). Notable names in the list are Jared Leto, Ezra Miller, Harry Lennix, and Ray Porter.

[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 has played lex luthor?

[Tool]
Top 10 entity alternatives:
1. Lex Luthor, also known as Alexander Joseph Luthor, Alexander Luthor, Alexander Joseph "Lex" Luthor (wd:Q694790): supervillain appearing in DC Comics publications and related media, chief executive officer, business executive, business magnate, drug trafficker, philanthropist, mass murderer, roboticist, crime boss, superhero, physicist, engineer, inventor, chemist
2. Lex Luthor, also known as Alexander Joseph "Lex" Luthor, Jr. (wd:Q110800327): DC Extended Universe character, chief executive officer, business executive, philanthropist, mass murderer, scientist, socialite, terrorist, engineer, criminal
3. Green Skull, also known as Alexander Luthor, Lex Luthor (wd:Q9300166): fictional character in Amalgam Comics
4. Lex Luthor, also known as Alexander Joseph Luthor (wd:Q91371653): fictional character from the television series Supergirl, time traveller, businessperson, politician, terrorist, criminal, inventor
5. Lex Luthor (wd:Q105123177): villain in the film Superman (1978), scientist, criminal, inventor
6. Lex Lutor, also known as Alexander Luthor, Lex Luthor (Smallville) (wd:Q735712): fictional character from the television series Smallville, businessperson, murderer
7. Lex Luthor, Jr. (wd:Q3831418): American investor, criminal, investor
8. Eve Teschmacher, also known as Eve, Lex Luthor's Girlfriend (wd:Q22266383): DC Comics character, secretary
9. Vitor Miranda, also known as Vitor "Lex Luthor" Miranda (wd:Q7937196): mixed martial arts fighter, Brazilian martial artist, Thai boxer, kickboxer
10. Lex Luthor's Presidency (wd:Q18280092)

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Tool]
Top 10 property alternatives:
1. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as p/wdt): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
2. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as p/wdt): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)
3. 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
4. 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)
5. 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)
6. character type, also known as -dere, stock character, stereotype, dere, character stereotype (wd:P9071 as p/wdt): generic character type that this fictional character represents, manifestation of
7. IMDb ID, also known as IMDb identifier, Internet Movie Database identifier (wd:P345 as p): identifier for the IMDb (with prefix 'tt', 'nm', 'co', 'ev', 'ch' or 'ni')
8. 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)
9. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as p/wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
10. 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

No other items found

[Tool]
Got 3 rows and 1 column:
| actor                     |
| ------------------------- |
| Hans Zimmer (wd:Q76364)   |
| Danny Elfman (wd:Q193338) |
| Junkie XL (wd:Q266429)    |

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Tool]
Got 132 rows and 1 column, showing the first 5 and last 5 rows below:
| actor                                |
| ------------------------------------ |
| Christopher McDonald (wd:Q102245209) |
| Sara Sampaio (wd:Q10368401)          |
| Milly Alcock (wd:Q108816955)         |
| Skyler Gisondo (wd:Q1190692)         |
| Pruitt Taylor Vince (wd:Q1198697)    |
| ...                                  |
| Jared Leto (wd:Q484523)              |
| Ezra Miller (wd:Q508049)             |
| Harry Lennix (wd:Q608709)            |
| Samantha Win (wd:Q7408678)           |
| Ray Porter (wd:Q97704240)            |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?deathPlace WHERE {
  wd:Q8027 wdt:P20 ?deathPlace
}

Memphis (wd:Q16563)

[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 town was martin luther king assassinated in?

[Tool]
Top 10 entity alternatives:
1. Martin Luther King Sr., also known as Martin Luther King (wd:Q2603376): American baptist pastor (1899–1984), Christian minister
2. Martin Luther King (wd:Q123135762): Indian Telugu-language political satire film directed by Puja Kolluru
3. Martin Luther King (wd:Q124695769): painting by Alexey Akindinov
4. Martin Luther King (wd:Q126859789): written work by Mario Escobar
5. Martin Luther King (wd:Q126859837): 2006 edition of written work by Mario Escobar
6. Martin Luther King (wd:Q127414862): railway underpass in Helmond, the Netherlands
7. Martin Luther King (wd:Q19338319): street in Culemborg, the Netherlands
8. Martin Luther King (wd:Q52755150): primary school in Pistoia, Pistoia, Tuscany, Italy
9. Martin Luther King (wd:Q52782068): primary school in Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
10. Martin Luther King (wd:Q52801085): primary school in Cesano Maderno, Monza and Brianza, Lombardy, Italy

[Tool]
Got 1 row and 1 column:
| deathPlace          |
| ------------------- |
| Atlanta (wd:Q23556) |

[Tool]
Top 10 entity alternatives:
1. Martin Luther King Jr. (wd:Q8027): American Baptist minister and civil rights leader (1929–1968), human rights activist, civil rights advocate, opinion journalist, peace activist, politician, preacher, pacifist, writer, pastor
2. Martin Luther King Jr. (wd:Q16974341): station on the Crenshaw Line, currently under construction
3. Martin Luther King, Jr. (wd:Q6776048): sculpture by John Woodrow Wilson
4. Martin Luther King Jr. (wd:Q39073111): Outdoor bronze sculpture depicting the American civil rights leader  installed on the University of Texas at Austin campus.
5. Martin Luther King, Jr. (wd:Q111842410): sculpture by artist unknown
6. Martin Luther King, Jr. (wd:Q116445650): print at the Metropolitan Museum of Art (MET, 2022.102)
7. Martin Luther King, Jr. (wd:Q47509396): painting by Robert Vickrey
8. Martin Luther King, Jr. (wd:Q47511447): painting by Boris Chaliapin
9. Martin Luther King, Jr. (wd:Q63570975): technical material in the National Gallery of Art (NGA 59039)
10. Martin Luther King, Jr. (wd:Q65577725): print in the National Gallery of Art (NGA 59040)

[Tool]
Got 1 row and 1 column:
| deathPlace          |
| ------------------- |
| Memphis (wd:Q16563) |

[Assistant] The town where Martin Luther King Jr. was assassinated is Memphis.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?country WHERE {
  wd:Q6583 wdt:P17 ?country
}

Got 9 rows and 1 column:
| country               |
| --------------------- |
| Mauritania (wd:Q1025) |
| Morocco (wd:Q1028)    |
| Niger (wd:Q1032)      |
| Sudan (wd:Q1049)      |
| Algeria (wd:Q262)     |
| Chad (wd:Q657)        |
| Egypt (wd:Q79)        |
| Mali (wd:Q912)        |
| Tunisia (wd:Q948)     |

The Sahara desert is located in the following countries: Mauritania, Morocco, Niger, Sudan, Algeria, Chad, Egypt, Mali, and Tunisia.

[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 are the sahara desert located?

[Tool]
Top 10 entity alternatives:
1. Sahara, also known as the Desart, Zara, Zahara, Zaara, The Sahara (wd:Q6583): desert on the African continent
2. Sahara Desert (wd:Q3889421): ecoregion
3. Sahara (Desert) (wd:Q104765650): painting by Jan Ciągliński (MNK MNK II-b-422)
4. Sahara (Desert) (wd:Q104765639): painting by Jan Ciągliński (MNK MNK II-b-419)
5. Sahara (Desert) (wd:Q104765619): painting by Jan Ciągliński (MNK MNK II-b-426)
6. Sahara (Desert) (wd:Q104765585): painting by Jan Ciągliński
7. Sahara desert (wd:L643007-S1)
8. Sahara desert (wd:L300591-S1)
9. Sahara Desert (wd:L1411251-S1)
10. Cataglyphis bicolor, also known as Sahara desert ant (wd:Q1717126): species of insect

[Tool]
Got 9 rows and 1 column:
| country               |
| --------------------- |
| Mauritania (wd:Q1025) |
| Morocco (wd:Q1028)    |
| Niger (wd:Q1032)      |
| Sudan (wd:Q1049)      |
| Algeria (wd:Q262)     |
| Chad (wd:Q657)        |
| Egypt (wd:Q79)        |
| Mali (wd:Q912)        |
| Tunisia (wd:Q948)     |

[Assistant] The Sahara desert is located in the following countries: Mauritania, Morocco, Niger, Sudan, Algeria, Chad, Egypt, Mali, and Tunisia.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?currency WHERE {
  wd:Q766 wdt:P38 ?currency
}

The official currency of Jamaica is the Jamaican dollar (wd:Q209792).

[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 jamaican money called?

[Tool]
Top 10 entity alternatives:
1. Jamaica, also known as JA, JM, JAM, Commonwealth of Jamaica (wd:Q766): island state in the Caribbean Sea
2. Jamaica men's national association football team, also known as Jamaica, Reggae Boyz, Jamaica national soccer team, Jamaica national football team, Jamaica national association football team (wd:Q235399): men's national association football team representing Jamaica
3. Jamaica, also known as Jamaica, Iowa, Jamaica, IA (wd:Q1913470): city in Iowa, United States
4. Jamaica, also known as Jamaica, Vermont, Jamaica, VT (wd:Q3450853): town in Vermont, United States
5. Jamaica, also known as Jamaica, New York City, Jamaica, Queens (wd:Q1320403): neighborhood of Queens, New York City, United States
6. Colony of Jamaica, also known as Jamaica and Dependencies, Jamaica Colony, Jamaica (wd:Q2526023): British colony on the island of Jamaica, 1655–1962
7. Jamaica (wd:Q11310077): Long Island Rail Road train station in Queens, New York
8. Jamaica, also known as Island of Jamaica, Jamaica island, main island of Jamaica, mainland Jamaica (wd:Q27119301): largest island of Jamaica, comprising most of its territory
9. Jamaica, also known as Jamaica metro station, Jamaica station (wd:Q3377006): metro station in Mexico City
10. Jamaica, also known as Poney Poney (wd:Q943535): French band

[Tool]
Got 1 row and 1 column:
| currency                     |
| ---------------------------- |
| Jamaican dollar (wd:Q209792) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?country WHERE {
  wd:Q9441 wdt:P19 / wdt:P17 ?country
}

Got 1 row and 1 column:
| country         |
| --------------- |
| Nepal (wd:Q837) |

Buddha came from Nepal (wd:Q837).

[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 country did buddha come from?

[Tool]
Top 10 entity alternatives:
1. The Buddha, also known as Trigyesh, Shakyamuni, Sakyasinha, Shakyasimha, Siddhartha Gautama (wd:Q9441): Indian philosopher and the founder of Buddhism (623 or 563 BCE – 543 or 483 BCE), spiritual teacher, religious leader, social reformer, father of faith, psychologist, psychiatrist, philosopher, preacher, bhikkhu, writer
2. The Buddha, also known as Lord Buddha, Mahatma Buddha, Siddhartha Gautama, Munish, Shakyasimha (wd:Q9441): Indian philosopher and the founder of Buddhism (623 or 563 BCE – 543 or 483 BCE), spiritual teacher, religious leader, father of faith, social reformer, psychologist, psychiatrist, philosopher, preacher, bhikkhu, writer
3. Buddha, also known as Arhat, Vijjācaraṇasampanna, Vidyācaraṇasaṃpanna, Tathārāja, Sugata (wd:Q7055): being who attains perfect enlightenment
4. buddhahood, also known as Buddha, fóguǒ, Chengfo, bukkai, buddhatta (wd:Q56247062): condition or rank of fully awakened enlightenment
5. Buddharupa, also known as Buddha, Buddharūpa (wd:Q1000809): statues of beings who have obtained Buddhahood
6. Buddha (wd:Q945140): manga series
7. Ulf Ekberg, also known as Ulf Buddha Ekberg, Ulf Gunnar Ekberg, Buddha (wd:Q2656667): television producer, Swedish musician, record producer, businessperson, film producer, songwriter, composer, musician, singer
8. Buddha (wd:Q851370): 1994 demo album by Blink-182
9. Buddha, also known as Buddhaa-Rajaon Ka Raja, Buddhaa - The King of Kings (wd:Q16954312): TV series
10. Huberht Taylor Hudson, also known as Buddha, Hubert Hudson (wd:Q3787383): British sailor who took part in Shackleton's Imperial Trans-Antarctic Expedition, navigator, sailor

[Tool]
Got 1 row and 1 column:
| country              |
| -------------------- |
| Shakya (wd:Q1062748) |

[Tool]
Got 1 row and 1 column:
| placeOfBirth       |
| ------------------ |
| Lumbini (wd:Q9213) |

[Tool]
Got 1 row and 1 column:
| country         |
| --------------- |
| Nepal (wd:Q837) |

[Tool] Stopped generation process