PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?placeOfDeath ?placeOfDeathLabel WHERE {
  wd:Q8027 wdt:P20 ?placeOfDeath .
  OPTIONAL {
    ?placeOfDeath rdfs:label ?placeOfDeathLabel FILTER ( LANG( ?placeOfDeathLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| placeOfDeath        | placeOfDeathLabel |
| ------------------- | ----------------- |
| Memphis (wd:Q16563) | Memphis (en)      |

Martin Luther King Jr. was assassinated in the town of Memphis.

[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?

[Assistant]
To answer the question about the town where Martin Luther King was assassinated, I need to identify the entity for Martin Luther King and find the property related to the place of his assassination. Then, I will query the knowledge graph to get the town of the assassination.

First, I will search for the entity "Martin Luther King" in Wikidata.

[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

[Assistant] The entity for Martin Luther King relevant to the question is likely "Martin Luther King Sr." (wd:Q2603376) or more specifically, I should look for Martin Luther King Jr., the civil rights leader who was assassinated. Since the search results did not show Martin Luther King Jr. explicitly, I will try searching again with the full name "Martin Luther King Jr." to find the correct entity.

[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)

[Assistant] The correct entity for Martin Luther King Jr., the civil rights leader who was assassinated, is wd:Q8027. Next, I will search for properties related to the assassination or death place of Martin Luther King Jr. to find the town where he was assassinated. I will search for properties of the entity wd:Q8027 with the query "assassination place" or "death place."

[Tool]
Top 10 property alternatives:
1. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as p/wdt): person or organization who killed the subject, significant person
2. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
3. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as p/wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
4. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as p/wdt): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
5. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as p/wdt): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
6. image of grave, also known as headstone picture, image of gravestone, image of cenotaph, image of grave, image of shrine (wd:P1442 as p/wdt): picture of a person or animal's grave, gravestone or tomb, image
7. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as p/wdt): significant or notable events associated with the subject
8. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in

No other items found

[Assistant] The property "place of death" (wdt:P20) seems to be the most relevant to find the town where Martin Luther King Jr. was assassinated. I will now query the place of death for Martin Luther King Jr. (wd:Q8027) using this property.

[Tool]
Got 1 row and 2 columns:
| placeOfDeath        | placeOfDeathLabel |
| ------------------- | ----------------- |
| Memphis (wd:Q16563) | Memphis (en)      |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of death for Martin Luther King Jr. using the property 'place of death' (wdt:P20). The result is Memphis, which is the correct town where he was assassinated. The query also optionally retrieves the English label for the place, which is helpful for readability. The answer is accurate and complete, and the query follows best practices by returning the identifier and label. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?country ?countryLabel ?continent ?continentLabel WHERE {
  wd:Q6583 wdt:P17 ?country .
  wd:Q6583 wdt:P30 ?continent .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
  OPTIONAL {
    ?continent rdfs:label ?continentLabel FILTER ( LANG( ?continentLabel ) = "en" )
  }
}

Got 9 rows and 4 columns:
| country               | countryLabel    | continent       | continentLabel |
| --------------------- | --------------- | --------------- | -------------- |
| Mauritania (wd:Q1025) | Mauritania (en) | Africa (wd:Q15) | Africa (en)    |
| Morocco (wd:Q1028)    | Morocco (en)    | Africa (wd:Q15) | Africa (en)    |
| Niger (wd:Q1032)      | Niger (en)      | Africa (wd:Q15) | Africa (en)    |
| Sudan (wd:Q1049)      | Sudan (en)      | Africa (wd:Q15) | Africa (en)    |
| Algeria (wd:Q262)     | Algeria (en)    | Africa (wd:Q15) | Africa (en)    |
| Chad (wd:Q657)        | Chad (en)       | Africa (wd:Q15) | Africa (en)    |
| Egypt (wd:Q79)        | Egypt (en)      | Africa (wd:Q15) | Africa (en)    |
| Mali (wd:Q912)        | Mali (en)       | Africa (wd:Q15) | Africa (en)    |
| Tunisia (wd:Q948)     | Tunisia (en)    | Africa (wd:Q15) | Africa (en)    |

The Sahara Desert (wd:Q6583) is located on the continent Africa (wd:Q15). It spans multiple countries including 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?

[Assistant]
To answer the question "Where is the Sahara Desert located?" I need to find the entity for the Sahara Desert and then find its location or the places it is located in.

Step 1: Search for the entity "Sahara Desert" in Wikidata.

[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

[Assistant] The entity "Sahara" (wd:Q6583) corresponds to the desert on the African continent, which is the Sahara Desert. Now, I will find the location or the places where the Sahara Desert is located. This could be represented by properties like "located in the administrative territorial entity" or "located in or next to body of water" or similar. I will search for properties of the Sahara Desert entity related to location.

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. 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
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. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
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. continent (wd:P30 as p/wdt): continent of which the subject is a part, located in/on physical feature
7. length, also known as size, long, LOA, distance, dimension (wd:P2043 as p/wdt): measured dimension of an object
8. width, also known as breadth, bus width, size (wd:P2049 as p/wdt): width of an object, length
9. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
10. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name

No other items found

[Assistant]
The relevant properties for location of the Sahara Desert are:
- coordinate location (wdt:P625)
- located in the administrative territorial entity (wdt:P131)
- country (wdt:P17)
- continent (wdt:P30)

To answer the question about where the Sahara Desert is located, it is most informative to find the countries and continent it is located in. I will query the Sahara Desert entity for its countries (wdt:P17) and continent (wdt:P30).

[Tool]
Got 9 rows and 4 columns:
| country               | countryLabel    | continent       | continentLabel |
| --------------------- | --------------- | --------------- | -------------- |
| Mauritania (wd:Q1025) | Mauritania (en) | Africa (wd:Q15) | Africa (en)    |
| Morocco (wd:Q1028)    | Morocco (en)    | Africa (wd:Q15) | Africa (en)    |
| Niger (wd:Q1032)      | Niger (en)      | Africa (wd:Q15) | Africa (en)    |
| Sudan (wd:Q1049)      | Sudan (en)      | Africa (wd:Q15) | Africa (en)    |
| Algeria (wd:Q262)     | Algeria (en)    | Africa (wd:Q15) | Africa (en)    |
| Chad (wd:Q657)        | Chad (en)       | Africa (wd:Q15) | Africa (en)    |
| Egypt (wd:Q79)        | Egypt (en)      | Africa (wd:Q15) | Africa (en)    |
| Mali (wd:Q912)        | Mali (en)       | Africa (wd:Q15) | Africa (en)    |
| Tunisia (wd:Q948)     | Tunisia (en)    | Africa (wd:Q15) | Africa (en)    |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer correctly identifies the Sahara Desert's location on the continent of Africa and lists the countries it spans. The SPARQL query is well-formed, uses appropriate properties (wdt:P17 for countries and wdt:P30 for continent), and returns the expected results with labels in English. The query also includes optional clauses for labels, which is acceptable. Overall, the output is accurate, complete, and follows the guidelines for SPARQL queries.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?currency ?currencyLabel WHERE {
  wd:Q766 wdt:P38 ?currency .
  OPTIONAL {
    ?currency rdfs:label ?currencyLabel FILTER ( LANG( ?currencyLabel ) = "en" )
  }
}

The Jamaican money is called the Jamaican dollar.

[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?

[Assistant] The user is asking for the name of the currency used in Jamaica. I need to find the entity for Jamaica and then find the property that indicates the currency used in that country. Typically, the property for currency used by a country is "currency" (P38) in Wikidata. I will first search for the entity "Jamaica" to get its Wikidata ID. Then I will query the currency used by Jamaica.

[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

[Assistant] The entity for Jamaica as an island state in the Caribbean Sea is wd:Q766. Now I will query the currency used by Jamaica (wd:Q766) using the property "currency" (P38).

[Tool]
Got 1 row and 2 columns:
| currency                     | currencyLabel        |
| ---------------------------- | -------------------- |
| Jamaican dollar (wd:Q209792) | Jamaican dollar (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the currency used by Jamaica (wd:Q766) using the property 'currency' (wdt:P38). The query also optionally fetches the English label of the currency. The result correctly identifies the Jamaican dollar (wd:Q209792) as the currency. The answer is accurate and complete. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?country ?countryLabel WHERE {
  wd:Q9441 wdt:P19 ?placeOfBirth .
  ?placeOfBirth wdt:P17 ?country .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
}
LIMIT 1

Got 1 row and 2 columns:
| country         | countryLabel |
| --------------- | ------------ |
| Nepal (wd:Q837) | Nepal (en)   |

Buddha came from the country Nepal.

[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?

[Assistant]
To answer the question "What country did Buddha come from?", I need to identify the entity "Buddha" in Wikidata and then find the property that indicates the country or place of origin or birth of this entity.

Step 1: Search for the entity "Buddha" in Wikidata.

[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

[Assistant]
The entity "Buddha" that matches the description of the Indian philosopher and founder of Buddhism is wd:Q9441 (Siddhartha Gautama).

Step 2: Now I will look for properties related to the country or place of origin or birth for this entity (wd:Q9441). I will search for properties related to "country" or "birthplace" for this entity.

[Tool]
Top 10 property alternatives:
1. 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
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
3. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
4. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p): the place where the person is or has been, resident, location
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. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
7. 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)
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
9. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
10. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name

No other items found

[Assistant]
The property "place of birth" (wdt:P19) is the most relevant to find the country Buddha came from.

Step 3: I will query the place of birth of Buddha (wd:Q9441) using the property "place of birth" (wdt:P19) and then find the country of that place.

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

[Assistant]
The query failed because the SERVICE wikibase:label is not supported by the used QLever SPARQL endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional clauses to get the labels for the place of birth and country.

Step 4: Rewrite and execute the query to get the place of birth and its country for Buddha (wd:Q9441).

[Tool]
Got 1 row and 4 columns:
| placeOfBirth       | placeOfBirthLabel | country         | countryLabel |
| ------------------ | ----------------- | --------------- | ------------ |
| Lumbini (wd:Q9213) | Lumbini (en)      | Nepal (wd:Q837) | Nepal (en)   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the country of Buddha's birth by first retrieving his place of birth and then the country that place belongs to. The query returns Nepal as the country, which is accurate according to the knowledge graph. The query also includes an optional label for readability. The answer is correct and complete, so no further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?county ?countyLabel WHERE {
  wd:Q486472 wdt:P131 ?county .
  OPTIONAL {
    ?county rdfs:label ?countyLabel FILTER ( LANG( ?countyLabel ) = "en" )
  }
}

Kansas City, Kansas is located in Wyandotte County.

[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 county is kansas city kansas?

[Assistant]
The user is asking for the county in which Kansas City, Kansas is located.

Step 1: Identify the entity "Kansas City, Kansas" in Wikidata.
Step 2: Identify the property that relates a city to its county.
Step 3: Query the county for Kansas City, Kansas.

I will start by searching for the entity "Kansas City, Kansas" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Kansas City, also known as Kansas City, Missouri, Kansas City, MO, K.C., KC, KCMO (wd:Q41819): city in Missouri, United States
2. Kansas City, also known as Kansas City, Kansas, KCK, Kansas, Kansas, Kansas City, KS (wd:Q486472): city and county seat of Wyandotte County, State of Kansas, United States
3. Kansas City, also known as Kansas City, Kansas, KCK, Kansas City, KS, Kansas, Kansas (wd:Q486472): city and county seat of Wyandotte County, State of Kansas, United States
4. Kansas City (wd:Q977996): 1996 film by Robert Altman
5. Kansas City, also known as K. C. Loving (wd:Q1723915): original song written and composed by Jerry Leiber and Mike Stoller
6. Kansas City, also known as Kansas City, Oregon, Kansas City, OR (wd:Q3709254): unincorporated community in Washington County, Oregon, United States
7. Kansas City/Hey, Hey, Hey, Hey, also known as Kansas City (wd:Q10543339): vocal track by The Beatles
8. Kansas City (wd:Q6364626): US basketball team
9. Kansas City (wd:Q6364628): 2008 single by Sneaky Sound System
10. Kansas City, also known as Kansas City (Oklahoma!) (wd:Q6364632): original song written and composed by Richard Rodgers (music) and Oscar Hammerstein II; from the musical Oklahoma!

[Assistant]
The entity "Kansas City, Kansas" is identified as wd:Q486472 in Wikidata. According to the description, it is a city and county seat of Wyandotte County, State of Kansas, United States.

Next, I will verify the county for Kansas City, Kansas by querying the county property for this entity. The property for "located in the administrative territorial entity" is usually wdt:P131. I will query the county for Kansas City, Kansas using this property.

[Tool]
Got 1 row and 2 columns:
| county                        | countyLabel           |
| ----------------------------- | --------------------- |
| Wyandotte County (wd:Q375652) | Wyandotte County (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the county in which Kansas City, Kansas is located by using the property 'located in the administrative territorial entity' (wdt:P131). The query returns the identifier and the English label of Wyandotte County, which is the correct county for Kansas City, Kansas. The answer is accurate and complete, and the query follows the rules for returning identifiers and labels properly. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?performer ?performerLabel WHERE {
  wd:Q25097 wdt:P175 ?performer .
  OPTIONAL {
    ?performer rdfs:label ?performerLabel FILTER ( LANG( ?performerLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| performer                | performerLabel   |
| ------------------------ | ---------------- |
| Brad Dourif (wd:Q329734) | Brad Dourif (en) |

The voice for Chucky in Child's Play is done by Brad Dourif.

[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 does the voice for chucky in child's play?

[Assistant]
To answer the question "Who does the voice for Chucky in Child's Play?", I need to identify the entity "Chucky" from the movie "Child's Play" and find the property related to the voice actor for this character.

Step 1: Search for the entity "Chucky" in the context of "Child's Play".
Step 2: Identify the property that relates a character to their voice actor.
Step 3: Query the voice actor for Chucky in Child's Play.

I will start by searching for the entity "Chucky".

[Tool]
Top 10 entity alternatives:
1. Hirving Lozano, also known as Chucky, Hirving Rodrigo Lozano Bahena, Hirving Lozano Bahena, Chucky Lozano (wd:Q17633812): Mexican association football player, association football player
2. Chucky, also known as The Lakeshore Strangler, Lakeshore Strangler, Good Guy doll, Chucky the murderdoll, Charles Ray (wd:Q25097): horror film villain, serial killer
3. Chucky (wd:Q106824359): American horror television series
4. Chucky (wd:Q85752306)
5. Matías Real, also known as Bochi, CHucky, chucker (wd:Q126939089): association football player, futbolista argentino
6. Chucky (wd:Q130921788): scientific article published on 12 November 2013
7. Chucky (wd:Q122300786): 2019 video game
8. Chucky (wd:Q110058876): sketch from Saturday Night Live
9. Earth-Mover, also known as Chuck Moss, Jeanne Chretien, Chucky (wd:Q3046465): Marvel comics character
10. Chucky Atkins, also known as Kenneth Lavon "Chucky" Atkins, Kenneth Lavon Atkins (wd:Q935693): American basketball player, basketball player

[Assistant]
The entity "Chucky" that matches the horror film villain and Good Guy doll from the Child's Play series is wd:Q25097. This is the character we are interested in.

Next, I need to find the property that relates this character to the voice actor. I will search for properties of the entity Chucky (wd:Q25097) related to voice or actor.

[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. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
5. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
6. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as p/wdt): informal name (for a pseudonym use P742), name
7. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as p/wdt): maker of this creative work or other object (where no more specific property exists)
8. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as p/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
9. 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)
10. enemy, also known as opponent, rival, archvillain, archrival, archnemesis (wd:P7047 as p/wdt): opponent character or group of this fictive character or group, significant person

No other items found

[Assistant]
The property "performer" (wdt:P175) is the most relevant property that can relate a character to the actor or voice actor who performed for them.

Next, I will query the performer (voice actor) for the character Chucky (wd:Q25097) in the context of the movie "Child's Play". I need to ensure the performer is specifically for the voice in the movie. I will first check if there is a statement linking Chucky to a performer.

[Tool]
Got 1 row and 2 columns:
| performer                | performerLabel   |
| ------------------------ | ---------------- |
| Brad Dourif (wd:Q329734) | Brad Dourif (en) |

[Assistant]
The performer (voice actor) for the character Chucky is Brad Dourif (wd:Q329734).

I will now finalize the answer with this information.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the performer (voice actor) for Chucky in Child's Play using the property 'performer' (wdt:P175) on the entity for Chucky (wd:Q25097). The result correctly identifies Brad Dourif as the voice actor. The query also optionally retrieves the English label for readability. The answer is accurate and complete for the user's question.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?timeZone ?timeZoneLabel WHERE {
  wd:Q84 wdt:P421 ?timeZone .
  OPTIONAL {
    ?timeZone rdfs:label ?timeZoneLabel FILTER ( LANG( ?timeZoneLabel ) = "en" )
  }
}

The time zone of London, UK is primarily Europe/London. It is also associated with Greenwich Mean Time (GMT), UTC±00:00, and during daylight saving time, UTC+01:00.

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

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

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

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

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

[User] what is london uk time zone?

[Assistant]
To answer the question "What is London UK time zone?", I need to find the entity for London and then find the property related to its time zone.

Step 1: Search for the entity "London" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. London, also known as Loniniensi, Trinovantum, the Big Smoke, Lundenwic, Lundenburh (wd:Q84): capital and largest city of England and the United Kingdom
2. City of London, also known as City of London (unparished area), City and County of the City of London, the City, London, Square Mile (wd:Q23311): city, ceremonial county and local government district that conta...ry central business district in the London Region in England, UK
3. London, also known as City of London, London, ON, London, Ontario (wd:Q92561): city in Southwestern Ontario, Canada
4. London, also known as London, KY, London, Kentucky (wd:Q3061911): city in Kentucky, United States
5. London, also known as London, OH, London, Ohio (wd:Q1001456): city in Madison County, Ohio, United States
6. London, also known as London, AR, London, Arkansas (wd:Q79348): city in Pope County, Arkansas, United States
7. London, also known as London, CA, London, California (wd:Q586353): census designated place in Tulare County, California, United States
8. London Recordings, also known as London, London Records (wd:Q935090): record label headquartered in the United Kingdom
9. London (wd:Q1749384): 2005 film directed by Hunter Richards
10. London, also known as Ronton (wd:Q2477346): settlement in Kiribati

[Assistant]
The entity for London, the capital and largest city of England and the United Kingdom, is wd:Q84.

Step 2: Search for the property related to the time zone of London (wd:Q84).

[Tool]
Top 10 property alternatives:
1. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
2. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
3. continent (wd:P30 as p/wdt): continent of which the subject is a part, located in/on physical feature
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
5. 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
6. local dialing code, also known as area code, dialling code, local calling code, local dialling code, STD code (wd:P473 as p/wdt): identifier dedicated to subject city by the area communication network
7. postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as p/wdt): identifier assigned by postal authorities for the subject area or building
8. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as p/wdt): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
9. 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
10. detail map, also known as map (wd:P1621 as p/wdt): map containing details about the entire location, locator map image

No other items found

[Assistant]
The property "located in time zone" (wdt:P421) is the relevant property for the time zone of London (wd:Q84).

Step 3: Query the time zone of London using the property wdt:P421.

[Tool]
Got 4 rows and 2 columns:
| timeZone                        | timeZoneLabel            |
| ------------------------------- | ------------------------ |
| Europe/London (wd:Q16894228)    | Europe/London (en)       |
| Greenwich Mean Time (wd:Q30192) | Greenwich Mean Time (en) |
| UTC±00:00 (wd:Q6574)            | UTC±00:00 (en)           |
| UTC+01:00 (wd:Q6655)            | UTC+01:00 (en)           |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all relevant time zones associated with London, UK, including Europe/London, Greenwich Mean Time (GMT), UTC±00:00, and UTC+01:00 for daylight saving time. The answer is accurate and complete, providing both the identifiers and human-readable labels for clarity. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?superbowl ?superbowlLabel ?year WHERE {
  ?superbowl wdt:P31 wd:Q32096 .
  ?superbowl wdt:P1923 wd:Q221878 .
  OPTIONAL {
    ?superbowl wdt:P585 ?date .
    BIND( YEAR( ?date ) AS ?year )
  }
  OPTIONAL {
    ?superbowl rdfs:label ?superbowlLabel FILTER ( LANG( ?superbowlLabel ) = "en" )
  }
}
ORDER BY ?year

Got 3 rows and 3 columns:
| superbowl                       | superbowlLabel         | year           |
| ------------------------------- | ---------------------- | -------------- |
| Super Bowl XL (wd:Q904928)      | Super Bowl XL (en)     | 2006 (xsd:int) |
| Super Bowl XLVIII (wd:Q1190093) | Super Bowl XLVIII (en) | 2014 (xsd:int) |
| Super Bowl XLIX (wd:Q1710023)   | Super Bowl XLIX (en)   | 2015 (xsd:int) |

The Seattle Seahawks went to the Super Bowl in the years 2006, 2014, and 2015.

[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 seattle seahawks go to the super bowl?

[Assistant]
To answer the question "What year did Seattle Seahawks go to the Super Bowl?", I need to find the entity for "Seattle Seahawks" and then find the years they participated in the Super Bowl.

Step 1: Search for the entity "Seattle Seahawks" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Seattle Seahawks (wd:Q221878): American football team
2. Seattle Seahawks (wd:Q1431833): ice hockey team
3. history of the Seattle Seahawks, also known as Seattle Seahawks history, the Seattle Seahawks history (wd:Q3973903): aspect of history
4. 2021 Seattle Seahawks season (wd:Q104869618): 46th season in franchise history
5. 2022 Seattle Seahawks season (wd:Q110445415): 47th season in franchise history
6. 2023 Seattle Seahawks season (wd:Q116170066): 48th season in franchise history
7. 2020 Seattle Seahawks season (wd:Q81002024): 45th season in franchise history
8. 2018 Seattle Seahawks season (wd:Q47191924): 43rd season in franchise history; final one under ownership of Paul Allen
9. 2015 Seattle Seahawks season (wd:Q19255692): 40th season in franchise history
10. 2024 Seattle Seahawks season (wd:Q124167235): 49th season in franchise history

[Assistant]
The entity for the American football team "Seattle Seahawks" is wd:Q221878.

Step 2: Now I will search for the property that indicates the years the Seattle Seahawks went to the Super Bowl. I will search for properties related to "Super Bowl" for the entity Seattle Seahawks.

[Tool]
Top 10 property alternatives:
1. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
2. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as p/wdt): home stadium or venue of a sports team or applicable performing arts organization, location
3. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as p/wdt): league or competition in which team or player has played, or in which an event occurs, participant in
4. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as p/wdt): name of the Reddit forum associated to this subject
5. 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
6. 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
7. 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
8. 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)
9. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as p/wdt): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
10. FAST ID, also known as Faceted Application of Subject Terminology ID, FAST subject heading, fst, worldcat.org/fast (wd:P2163 as p/wdt/wdtn): authority control identifier in WorldCat's “FAST Linked Data” authority file

No other items found

[Assistant]
The property "participant in" (wdt:P1344) seems relevant as it indicates events in which the team participated. The Super Bowl is an event, so the Seattle Seahawks' participation in the Super Bowl should be linked with this property.

Step 3: I will now query the years in which the Seattle Seahawks (wd:Q221878) participated in the Super Bowl using the property "participant in" (wdt:P1344). I will look for events that are instances of the Super Bowl. I need to find the entity for "Super Bowl" first.

[Tool]
Top 10 entity alternatives:
1. Super Bowl, also known as AFL–NFL World Championship Game (wd:Q32096): National Football League championship game
2. Super Bowl (wd:Q121409161): 2023 single by Stray Kids
3. Super Bowl (wd:Q104642171): American horse
4. Super Bowl, also known as xkcd 60 (wd:Q18612009): 60th strip of the webcomic xkcd
5. Super Bowl, also known as xkcd 1480 (wd:Q20671274): 1480th strip of the webcomic xkcd
6. Super Bowl (wd:Q51263859): episode of Aqua Teen Hunger Force (S2 E3)
7. Super Bowl (wd:Q51159462): episode of Everybody Loves Raymond (S5 E13)
8. Super Bowl (wd:Q114548781): episode of Nurses (S2 E16)
9. Super Bowl 50, also known as 2016 Super Bowl, Super Bowl 2016, Super Bowl L (wd:Q7642193): 2016 edition of the Super Bowl
10. Super Bowl LII, also known as 2018 Super Bowl, Super Bowl 2018, Super Bowl 52 (wd:Q15633579): 2018 edition of the Super Bowl

[Assistant]
The entity for the Super Bowl as the National Football League championship game is wd:Q32096.

Step 4: I will now write a SPARQL query to find the years in which the Seattle Seahawks (wd:Q221878) participated in events that are instances of the Super Bowl (wd:Q32096). I will retrieve the year of the event.

[Tool] Got no rows and 3 columns

[Assistant]
The query returned no results, which means the direct property "participant in" (wdt:P1344) for Seattle Seahawks might not be linked directly to Super Bowl events or the date property I used might be incorrect.

Step 5: I will try to find the statements for the Seattle Seahawks with the property "participant in" (wdt:P1344) to see what kind of events are linked. This might help identify the correct property or event structure.

[Tool]
Got 1 row and 3 columns:
| subject                       | property                   | object                     |
| ----------------------------- | -------------------------- | -------------------------- |
| Seattle Seahawks (wd:Q221878) | participant in (wdt:P1344) | Beast Quake (wd:Q16950836) |

[Assistant]
The only event linked with "participant in" (wdt:P1344) for Seattle Seahawks is "Beast Quake" (wd:Q16950836), which is not the Super Bowl.

Step 6: I will try another approach. I will search for the property "Super Bowl appearances" or similar for the Seattle Seahawks. I will search for properties related to "Super Bowl" in general.

[Tool]
Top 10 property alternatives:
1. sports discipline competed in, also known as sport discipline competed in, weight class competed in, sports event, sports disciplines competed in, sports discipline (wd:P2416 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): discipline an athlete competed in within a sport, field of work
2. sport, also known as play, plays, sport played, sports (wd:P641 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): sport that the subject participates or participated in or is associated with
3. NFL.com player ID (former scheme), also known as National Football League player ID, NFL.com ID (former scheme), NFL ID, NFL identifier (wd:P3539 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): numeric identifier for American football players at NFL.com
4. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): significant or notable events associated with the subject
5. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): home stadium or venue of a sports team or applicable performing arts organization, location
6. stolen bases, also known as bases stolen total, career bases stolen, career stolen bases, SB, stolen bases total (wd:P9217 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): number of bases stolen by a baseball player in a career or game(s)
7. NFL.com player ID, also known as NFL.com player ID, NFL ID, NFL.com player ID (new scheme), National Football League player ID (wd:P9338 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): identifier for American football players at NFL.com
8. superhuman feature or ability, also known as has superpower, magic, magic ability, magical ability, supernatural abilities (wd:P2563 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): superhuman, supernatural, or paranormal abilities that the fictional subject exhibits, uses
9. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): sports teams or clubs that the subject represents or represented, member of
10. Swiss Games Garden game ID, also known as SGG game ID, swissgames.garden game ID (wd:P11630 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): identifier of a video game in the Swiss Games Garden database

[Assistant]
There is no direct property explicitly named "Super Bowl appearances" or similar. However, the property "significant event" (wdt:P793) might be used to indicate notable events like Super Bowl appearances.

Step 7: I will query the significant events (wdt:P793) for the Seattle Seahawks (wd:Q221878) and check if any of them are Super Bowl events.

[Tool] Got no rows and 3 columns

[Assistant]
There are no significant events (wdt:P793) listed for the Seattle Seahawks.

Step 8: I will try to find the Super Bowl events where the Seattle Seahawks were participants by querying the Super Bowl events and checking if the Seattle Seahawks were participants in those events.

I will find instances of the Super Bowl (wd:Q32096) and check if the Seattle Seahawks (wd:Q221878) are participants (wdt:P710 or wdt:P1346 or similar). I will start by checking the property "participant" (wdt:P710) for Super Bowl events.

[Tool]
Top 10 property alternatives:
1. participant, also known as suspect, player, party, participants, has participant (wd:P710 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
2. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
3. number of participants, also known as number of competitors, number of teams, participant count, participants, qty participants (wd:P1132 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): number of participants of an event, e.g. people or groups of people that take part in the event (NO units), quantity
4. recorded participant, also known as on-screen participant, onscreen participant, participant recorded (wd:P11108 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): agent taking an active role as a participant in a nonfiction moving image or other recorded work, participant
5. debut participant, also known as debut country, first-time participant, first appearance for (wd:P2318 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): participant for whom this is their debut appearance in a series of events
6. object of occurrence, also known as action applies to item, undergoer, target of action, target, patient (wd:P12912 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): specific object to which an occurrence or class of occurrences applies
7. talk show guest, also known as show guest, podcast guest, participant in talk show, participant in podcast interview, interviewed person (wd:P5030 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): person invited in a talk show, recorded participant
8. partner in business or sport, also known as professional partner, sport partner, sports partner, team mate, team-mate (wd:P1327 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): professional collaborator, significant person
9. contributor to the creative work or subject, also known as assistant, collaborator, contributor, contributor(s) to the subject, creative contributor (wd:P767 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): person or organization that contributed to a subject: co-creator of a creative work or subject, participant
10. host, also known as host taxon (wd:P2975 as pqn/psv/wdt/p/pq/prn/pr/psn/ps/prv/pqv/wdtn): an organism harboring another organism or organisms on or in itself

[Assistant]
The property "participant" (wdt:P710) is used for persons, groups, or organizations that actively participate in an event. This might be used for teams participating in the Super Bowl.

Step 9: I will query for Super Bowl events (instances of wd:Q32096) where the participant (wdt:P710) is the Seattle Seahawks (wd:Q221878). I will also retrieve the year of the event.

[Tool] Got no rows and 3 columns

[Assistant]
The query returned no results, which means the property "participant" (wdt:P710) might not be used to link the Seattle Seahawks to Super Bowl events.

Step 10: I will try to find the Super Bowl events where the Seattle Seahawks were participants by checking the property "team" (wdt:P54) or "member of sports team" for the players who played in the Super Bowl. This is a more indirect approach but might yield results.

I will first find Super Bowl events and then check for participants or teams linked to those events. I will try to find the property used to link teams to Super Bowl events by looking at some Super Bowl event data.

[Tool]
Got 2 rows and 3 columns:
| subject                | property              | object                                           |
| ---------------------- | --------------------- | ------------------------------------------------ |
| Super Bowl (wd:Q32096) | instance of (wdt:P31) | championship (wd:Q1079023)                       |
| Super Bowl (wd:Q32096) | instance of (wdt:P31) | recurring sporting event edition (wd:Q114609228) |

[Assistant]
The Super Bowl (wd:Q32096) is an instance of "championship" (wd:Q1079023) and "recurring sporting event edition" (wd:Q114609228).

Step 11: I will try to find specific editions of the Super Bowl and check their properties to see how teams or participants are linked. I will search for instances of the Super Bowl (wd:Q32096) or its subclasses.

[Tool]
Got 10 rows and 2 columns:
| event                            | eventLabel              |
| -------------------------------- | ----------------------- |
| Super Bowl XXXVIII (wd:Q1049630) | Super Bowl XXXVIII (en) |
| Super Bowl VI (wd:Q1064741)      | Super Bowl VI (en)      |
| Super Bowl XXIV (wd:Q1064807)    | Super Bowl XXIV (en)    |
| Super Bowl XXIX (wd:Q1064815)    | Super Bowl XXIX (en)    |
| Super Bowl XXX (wd:Q1065229)     | Super Bowl XXX (en)     |
| Super Bowl XX (wd:Q1073454)      | Super Bowl XX (en)      |
| Super Bowl XXXVI (wd:Q1073479)   | Super Bowl XXXVI (en)   |
| Super Bowl IX (wd:Q1188005)      | Super Bowl IX (en)      |
| Super Bowl VIII (wd:Q1188158)    | Super Bowl VIII (en)    |
| Super Bowl LX (wd:Q118876146)    | Super Bowl LX (en)      |

[Assistant]
There are specific entities for each Super Bowl edition, e.g., Super Bowl XXXVIII (wd:Q1049630), Super Bowl VI (wd:Q1064741), etc.

Step 12: I will check the properties of one Super Bowl edition, e.g., Super Bowl XXXVIII (wd:Q1049630), to see how teams or participants are linked.

[Tool]
Got 115 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                                                    | object                                          |
| -------------------------------- | ----------------------------------------------------------- | ----------------------------------------------- |
| Super Bowl XXXVIII (wd:Q1049630) | instance of (wdt:P31)                                       | Super Bowl (wd:Q32096)                          |
| Super Bowl XXXVIII (wd:Q1049630) | country (wdt:P17)                                           | United States (wd:Q30)                          |
| Super Bowl XXXVIII (wd:Q1049630) | located in the administrative territorial entity (wdt:P131) | Houston (wd:Q16555)                             |
| Super Bowl XXXVIII (wd:Q1049630) | Commons category (wdt:P373)                                 | Super Bowl XXXVIII                              |
| Super Bowl XXXVIII (wd:Q1049630) | location (wdt:P276)                                         | NRG Stadium (wd:Q1058864)                       |
| Super Bowl XXXVIII (wd:Q1049630) | has part(s) (wdt:P527)                                      | Super Bowl XXXVIII halftime show (wd:Q85804187) |
| Super Bowl XXXVIII (wd:Q1049630) | sport (wdt:P641)                                            | American football (wd:Q41323)                   |
| Super Bowl XXXVIII (wd:Q1049630) | follows (wdt:P155)                                          | Super Bowl XXXVII (wd:Q939802)                  |
| Super Bowl XXXVIII (wd:Q1049630) | followed by (wdt:P156)                                      | Super Bowl XXXIX (wd:Q926745)                   |
| Super Bowl XXXVIII (wd:Q1049630) | point in time (wdt:P585)                                    | 2004-02-01T00:00:00Z (xsd:dateTime)             |
| ...                              | ...                                                         | ...                                             |

[Assistant]
The Super Bowl XXXVIII (wd:Q1049630) has a property "point in time" (wdt:P585) with the date 2004-02-01.

Step 13: I will check if there is a property indicating the teams that played in this Super Bowl. I will look for properties related to "team" or "participant" for this event.

[Tool]
Top 10 property alternatives:
1. participating team, also known as teams (wd:P1923 as p/wdt): like 'Participant' (P710) but for teams. For an event like a cyc...member of sports team' (P54) as a qualifier for the individuals), participant
2. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
3. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
4. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as p/wdt): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
5. 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
6. 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
7. 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)
8. 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).
9. point in time, also known as at time, as of, year, when, time of event (wd:P585 as p/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
10. 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)

No other items found

[Assistant]
The property "participating team" (wdt:P1923) is used for teams participating in an event like a Super Bowl.

Step 14: I will query the Super Bowl events where the participating team (wdt:P1923) is the Seattle Seahawks (wd:Q221878). I will also retrieve the year of the event.

[Tool]
Got 3 rows and 3 columns:
| superbowl                       | superbowlLabel         | year           |
| ------------------------------- | ---------------------- | -------------- |
| Super Bowl XL (wd:Q904928)      | Super Bowl XL (en)     | 2006 (xsd:int) |
| Super Bowl XLVIII (wd:Q1190093) | Super Bowl XLVIII (en) | 2014 (xsd:int) |
| Super Bowl XLIX (wd:Q1710023)   | Super Bowl XLIX (en)   | 2015 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the Super Bowl events in which the Seattle Seahawks participated, along with the years of those events. The answer lists the years 2006, 2014, and 2015, which matches the query results. The query uses appropriate properties and entities, and the optional clauses for labels and years are well-structured. The output is complete and accurate for the user's question.