PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
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 http://amur:7001

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]
Let's break down the question:

1. The user is asking for the name of the currency used in Jamaica.
2. I need to identify the entity for Jamaica and the property for currency, then find the value.

Step 1: Search for the entity "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 most relevant entity for Jamaica as a country is wd:Q766.

Next, I need to find the property that links a country to its currency. I'll search for properties related to "currency".

[Tool]
Top 10 property alternatives:
1. currency, also known as base currency, used money (wd:P38 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): currency used by item, uses
2. ISO 4217 code, also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code (wd:P498 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier for a currency per ISO 4217
3. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): published price listed or paid for a product (use with unit of currency)
4. prize money, also known as money, purse, value (wd:P2121 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): amount in a specific currency
5. cash (wd:P2232 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): the value of cash and securities held by a state government
6. currency symbol description (wd:P489 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): item with description of currency symbol, notation
7. face value, also known as coin value, numeric value of coin, value of coin (wd:P3934 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): value printed on a coin, stamp or banknote by the issuing authority
8. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
9. item of property constraint, also known as claim value, value, qid, property value, item qualifier (wd:P2305 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): qualifier to define a property constraint in combination with "property constraint" (P2302)
10. numeric value, also known as numerical value, value (wd:P1181 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): numerical value of a number, a mathematical constant, or a physical constant

[Assistant]
The property "currency" (wdt:P38) is the most relevant for linking a country to its currency.

Now, I will construct a SPARQL query to find the currency of Jamaica (wd:Q766) using the property "currency" (wdt:P38). I will also try to get the label of the currency for clarity.

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

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query correctly retrieves the currency used by Jamaica (wd:Q766) via the property 'currency' (wd:P38). However, the query only returns the currency IRI and not its human-readable label. While the answer is correct, it would be more informative to include the label of the currency in the result using an OPTIONAL clause with rdfs:label. This would make the output more user-friendly and complete.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer is correct and complete. The SPARQL query correctly retrieves the currency used by Jamaica (wd:Q766) via the property 'currency' (wd:P38), and optionally retrieves its English label. The result matches the expected answer: Jamaican dollar. No further refinement is needed.


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

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

Buddha (Siddhartha Gautama) was born in Lumbini, which is located in Nepal. Therefore, Buddha came from 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 http://amur:7001

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]
Let's break down the question:

1. The question is asking for the country of origin of Buddha.
2. We need to identify the entity for "Buddha" (likely Siddhartha Gautama) in Wikidata.
3. We need to find the property that links a person to their country of origin (could be "country of citizenship", "country of birth", or similar).
4. We will then construct a SPARQL query to retrieve the country associated with Buddha.

First, let's 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 most relevant entity for "Buddha" as the founder of Buddhism is wd:Q9441 (Siddhartha Gautama).

Next, we need to find the property that links a person to their country of origin. This could be "country of citizenship", "country of birth", or a similar property. To be precise, let's search for properties related to "country" 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 most relevant properties are:
- country of citizenship (wdt:P27)
- place of birth (wdt:P19)

Since the question is about the country Buddha "came from," "place of birth" is likely the most accurate, as "country of citizenship" may not be applicable for ancient historical figures.

Let's check what value is given for "place of birth" (wdt:P19) for Siddhartha Gautama (wd:Q9441).

[Tool]
Got 1 row and 3 columns:
| subject               | property                 | object             |
| --------------------- | ------------------------ | ------------------ |
| The Buddha (wd:Q9441) | place of birth (wdt:P19) | Lumbini (wd:Q9213) |

[Assistant]
The place of birth for Buddha (Siddhartha Gautama) is Lumbini (wd:Q9213).

Now, to answer the question about the country, we need to find which country Lumbini is located in. Let's look for the property "country" for Lumbini.

[Tool]
Got 1 row and 3 columns:
| subject            | property          | object          |
| ------------------ | ----------------- | --------------- |
| Lumbini (wd:Q9213) | country (wdt:P17) | Nepal (wd:Q837) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the country from which Buddha came by tracing his place of birth (wd:P19) to its country (wd:P17). The result, Nepal (wd:Q837), is accurate and matches the expected answer. The query returns the IRI of the country as required. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?county WHERE {
  wd:Q486472 wdt:P131 ?county
}

Kansas City, Kansas is located in Wyandotte County (wd:Q375652).

[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 http://amur:7001

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]
Let's break down the question:

1. The user is asking for the county in which Kansas City, Kansas is located.
2. First, I need to identify the Wikidata entity for "Kansas City, Kansas".
3. Then, I need to find the property that links a city to its county.
4. Finally, I will construct a SPARQL query to return the county entity for Kansas City, Kansas.

Step 1: Search for the entity "Kansas City, Kansas".

[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 correct entity for "Kansas City, Kansas" is wd:Q486472, which is described as the city and county seat of Wyandotte County, State of Kansas, United States.

Next, I need to find the property that links a city to its county. I'll search for properties related to "county" for this entity.

[Tool]
Top 10 property alternatives:
1. 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
2. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as p/wdt): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
3. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as p/wdt): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
4. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. shares border with, also known as shares borders with, next to, bordered by, border, borders clockwise (wd:P47 as p/wdt): countries or administrative subdivisions, of equal level, that t...rders, either by land or water. A single common point is enough.
6. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
7. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as p/wdt): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
8. locator map image, also known as locator map, map image, map (wd:P242 as p/wdt): geographic map image which highlights the location of the subject within some larger entity, image
9. population, also known as inhabitants, human population (wd:P1082 as p/wdt): number of people inhabiting the place; number of people of subject

No other items found

[Assistant]
The most relevant property is "located in the administrative territorial entity" (wdt:P131), which is commonly used to indicate the county or similar administrative division for a city.

Now, I will construct a SPARQL query to find the county (administrative territorial entity) for Kansas City, Kansas (wd:Q486472), and also try to get its label for clarity.

[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 (Wyandotte County) for Kansas City, Kansas using the appropriate entity (wd:Q486472) and property (wd:P131). The answer is accurate and complete, and the query returns the IRI as required. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?actor ?actorLabel ?propertyUsed WHERE {
  {
    wd:Q935945 p:P725 ?voiceStatement .
    ?voiceStatement ps:P725 ?actor ; pq:P453 wd:Q25097 .
    BIND( "voice actor (P725)" AS ?propertyUsed )
  } UNION {
    wd:Q935945 p:P161 ?castStatement .
    ?castStatement ps:P161 ?actor ; pq:P453 wd:Q25097 .
    FILTER NOT EXISTS {
      wd:Q935945 p:P725 ?voiceStatement2 .
      ?voiceStatement2 pq:P453 wd:Q25097 .
    }
    BIND( "cast member (P161)" AS ?propertyUsed )
  }
  OPTIONAL {
    ?actor rdfs:label ?actorLabel FILTER ( lang( ?actorLabel ) = "en" )
  }
}

This query first checks for the 'voice actor' property (P725) for Chucky in Child's Play (1988). If no such statement exists, it falls back to the 'cast member' property (P161) with the 'character role' qualifier. The result indicates which property was used. According to current Wikidata data, only the 'cast member' property is present for Brad Dourif as Chucky in Child's Play (1988); the 'voice actor' property is not used.

[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 http://amur:7001

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]
Let's break down the question:

1. The user is asking for the voice actor of "Chucky" in "Child's Play".
2. We need to identify:
   - The entity for "Chucky" (the character).
   - The entity for "Child's Play" (the movie or franchise).
   - The property that links a character in a film to its voice actor.

First, let's search for the entity "Chucky" in Wikidata.

[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 most relevant entity for "Chucky" the horror film villain is wd:Q25097.

Next, let's search for the entity "Child's Play" to ensure we reference the correct film or franchise.

[Tool]
Top 10 entity alternatives:
1. Child's Play (wd:Q935945): 1988 film by Tom Holland
2. Child's Play, also known as Childs Play (wd:Q56697304): 2019 film directed by Lars Klevberg
3. Child's Play, also known as Chucky (franchise) (wd:Q2265493): horror film franchise focusing on Chucky, a killer doll
4. Child's Play (wd:Q3966802): 1972 film by Sidney Lumet
5. Child's Play (wd:Q5097661): children's charity
6. Child's Play (wd:Q5097656): episode of Star Trek: Voyager (S6 E19)
7. Child's Play (wd:Q1463844): 1992 film directed by Wolfgang Becker
8. Child's Play (wd:Q5097664): 1994 Marvel Comics storyline
9. Child's Play (wd:Q5097667): 1980s US game show
10. Child's Play (wd:Q5097668): D&D module

[Assistant]
The most relevant entities are:
- Child's Play (1988 film) (wd:Q935945)
- Chucky (franchise) (wd:Q2265493)

Since the question refers to "Child's Play" and not the franchise as a whole, we should focus on the 1988 film (wd:Q935945).

Now, we need to find the property that links a character (Chucky) in a film (Child's Play) to its voice actor. Let's search for properties related to "voice actor".

[Tool]
Top 10 property alternatives:
1. voice actor, also known as voice actors, voice dubber, voice actress, voice actresses, voiced by (wd:P725 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): performer of a spoken role in a creative work such as animation,... (P453) as qualifier] [use "cast member" (P161) for live acting], film crew member, cast member
2. Behind The Voice Actors person ID, also known as behindthevoiceactors.com person ID, BTVA person ID, BTVA ID (wd:P5007 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier of a person on the website Behind The Voice Actors
3. Deutsche Synchronkartei dubbing voice actor ID, also known as Synchronkartei dubbing voice actor identifier, Synchronkartei dubbing voice actor ID, Deutsche Synchronkartei dubbing voice actor identifier (wd:P4727 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier for a dubbing voice actor, in the synchronisation (dubbing) database Deutsche Synchronkartei
4. Behind The Voice Actors short ID, also known as BTVA short ID (wd:P7318 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier of a short on the website Behind The Voice Actors
5. Behind The Voice Actors character ID, also known as Behind The Voice Actors character identifier, BTVA character ID, BTVA character identifier (wd:P5107 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier of a character from the Behind The Voice Actors website
6. Behind The Voice Actors franchise ID, also known as BTVA franchise ID (wd:P5382 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier of a franchise in Behind the Voice Actors
7. Behind The Voice Actors film ID, also known as Behind The Voice Actors movie ID, BTVA movie ID (wd:P5384 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier of a film on the website Behind The Voice Actors
8. MyAnimeList people ID, also known as MyAnimeList actor ID, MyAnimeList voice actor ID, MyAnimeList staff ID, MyAnimeList person ID, MAL voice actor ID (wd:P4084 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier for a person or group of people on MyAnimeList
9. audio recording of the subject's spoken voice, also known as voice recording, audio clip, spoken voice, speaking voice, recording of the subject's spoken voice (wd:P990 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): audio file representing the speaking voice of a person; or of an animated cartoon or other fictitious character, audio
10. voice type, also known as range of voice, register, tessitura, type of voice, vocal type (wd:P412 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): person's voice type. expected values: soprano, mezzo-soprano, contralto, countertenor, tenor, baritone, bass (and derivatives)

[Assistant]
The property "voice actor" (wd:P725) is the correct one to use for linking a character to its voice actor.

Now, let's check how this property is used for Chucky (wd:Q25097) and/or Child's Play (wd:Q935945). It's possible that the voice actor is linked directly to the character, or as a qualifier to the film.

Let's list all triples where Chucky (wd:Q25097) is the subject and see if the voice actor property is used, possibly with a qualifier for the film.

[Tool]
Got 187 rows and 3 columns, showing the first 10 rows below:
| subject            | property                         | object                              |
| ------------------ | -------------------------------- | ----------------------------------- |
| Chucky (wd:Q25097) | instance of (wdt:P31)            | film character (wd:Q15773347)       |
| Chucky (wd:Q25097) | occupation (wdt:P106)            | serial killer (wd:Q484188)          |
| Chucky (wd:Q25097) | sex or gender (wdt:P21)          | male (wd:Q6581097)                  |
| Chucky (wd:Q25097) | given name (wdt:P735)            | Charles (wd:Q2958359)               |
| Chucky (wd:Q25097) | date of birth (wdt:P569)         | 1988-11-09T00:00:00Z (xsd:dateTime) |
| Chucky (wd:Q25097) | Commons category (wdt:P373)      | Chucky                              |
| Chucky (wd:Q25097) | country of citizenship (wdt:P27) | United States (wd:Q30)              |
| Chucky (wd:Q25097) | family name (wdt:P734)           | Ray (wd:Q2133813)                   |
| Chucky (wd:Q25097) | child (wdt:P40)                  | Glen/Glenda Ray (wd:Q123521613)     |
| Chucky (wd:Q25097) | creator (wdt:P170)               | Don Mancini (wd:Q1239298)           |
| ...                | ...                              | ...                                 |

[Assistant]
The direct properties for Chucky (wd:Q25097) do not include "voice actor" in the first few rows. It's possible that the voice actor property is used as a qualifier for a specific film, or that the connection is made from the film to the character and actor.

Let's check the properties of the film "Child's Play" (wd:Q935945) to see if the cast or voice actor is listed there.

[Tool]
Got 456 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                                        | object                                                                           |
| ------------------------- | ----------------------------------------------- | -------------------------------------------------------------------------------- |
| Child's Play (wd:Q935945) | instance of (wdt:P31)                           | film (wd:Q11424)                                                                 |
| Child's Play (wd:Q935945) | title (wdt:P1476)                               | Child's Play (en)                                                                |
| Child's Play (wd:Q935945) | publication date (wdt:P577)                     | 1988-01-01T00:00:00Z (xsd:dateTime)                                              |
| Child's Play (wd:Q935945) | main subject (wdt:P921)                         | body swap (wd:Q4936971)                                                          |
| Child's Play (wd:Q935945) | image (wdt:P18)                                 | <http://commons.wikimedia.org/wiki/Special:FilePath/Child%27s%20play%201988.png> |
| Child's Play (wd:Q935945) | country of origin (wdt:P495)                    | United States (wd:Q30)                                                           |
| Child's Play (wd:Q935945) | genre (wdt:P136)                                | horror film (wd:Q200092)                                                         |
| Child's Play (wd:Q935945) | cast member (wdt:P161)                          | Brad Dourif (wd:Q329734)                                                         |
| Child's Play (wd:Q935945) | followed by (wdt:P156)                          | Child's Play 2 (wd:Q1089281)                                                     |
| Child's Play (wd:Q935945) | original language of film or TV show (wdt:P364) | English (wd:Q1860)                                                               |
| ...                       | ...                                             | ...                                                                              |

[Assistant]
The film "Child's Play" (wd:Q935945) lists Brad Dourif (wd:Q329734) as a "cast member" (wdt:P161). However, this does not specify the role or that he is the voice of Chucky.

To be thorough, let's check if there are qualifiers on the "cast member" property that specify the character played or voiced.

[Tool]
Got 10 rows and 3 columns:
| subject                   | property             | object                                         |
| ------------------------- | -------------------- | ---------------------------------------------- |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:Q935945-353E9448-4D20-48E1-AEEC-EEC8AE450349 |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:Q935945-3D3C1E62-DA99-4915-9172-6747EBEC11B9 |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:Q935945-9B816757-E06D-40DE-80B7-D1DF36BBB07E |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:Q935945-AAC9B78D-C910-4311-8EBD-034F13CE5E64 |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:q935945-BD448426-1C9E-487D-ADCB-F371D7F7201A |
| Child's Play (wd:Q935945) | cast member (p:P161) | s:Q935945-F5AD312C-5076-4008-B46F-2F059B0CCD7F |

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property              | object                                       |
| ---------------------------------------------- | --------------------- | -------------------------------------------- |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | cast member (ps:P161) | Chris Sarandon (wd:Q363684)                  |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | wikibase:rank         | wikibase:NormalRank                          |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | rdf:type              | wikibase:BestRank                            |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | prov:wasDerivedFrom   | ref:3255dfdb9d19b3914675b49cab82c0e97b37ab5f |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | rdf:type              | wikibase:Statement                           |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | prov:wasDerivedFrom   | ref:4b210979265c396e054a16f77fc1b13414204915 |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | prov:wasDerivedFrom   | ref:52df1f7de4ed2cad213516e6ac3a47f77d66c6cf |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | prov:wasDerivedFrom   | ref:780933e795fa5d2e0b18c444e4bee7a7bdeb6575 |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | prov:wasDerivedFrom   | ref:dbe7abbe749934eb5a147388e2320507a80f668c |
| s:q935945-299C68B1-2116-40AB-BE8A-6DFAFEA81FB1 | prov:wasDerivedFrom   | ref:e755fc2f1b30b36b93173bcbbf500171ecc2966f |
| ...                                            | ...                   | ...                                          |

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property                 | object                                       |
| ---------------------------------------------- | ------------------------ | -------------------------------------------- |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | cast member (ps:P161)    | Alex Vincent (wd:Q2735504)                   |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | character role (pq:P453) | Andy Barclay (wd:Q778331)                    |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | wikibase:rank            | wikibase:NormalRank                          |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | rdf:type                 | wikibase:BestRank                            |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | prov:wasDerivedFrom      | ref:3255dfdb9d19b3914675b49cab82c0e97b37ab5f |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | rdf:type                 | wikibase:Statement                           |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | prov:wasDerivedFrom      | ref:52df1f7de4ed2cad213516e6ac3a47f77d66c6cf |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | prov:wasDerivedFrom      | ref:780933e795fa5d2e0b18c444e4bee7a7bdeb6575 |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | prov:wasDerivedFrom      | ref:dbe7abbe749934eb5a147388e2320507a80f668c |
| s:q935945-29A7DA01-0802-46F4-BD7F-7F8467FBFED8 | prov:wasDerivedFrom      | ref:e755fc2f1b30b36b93173bcbbf500171ecc2966f |
| ...                                            | ...                      | ...                                          |

[Tool]
Got 5 rows and 3 columns:
| subject                                        | property              | object                                       |
| ---------------------------------------------- | --------------------- | -------------------------------------------- |
| s:Q935945-353E9448-4D20-48E1-AEEC-EEC8AE450349 | cast member (ps:P161) | Edan Gross (wd:Q5335683)                     |
| s:Q935945-353E9448-4D20-48E1-AEEC-EEC8AE450349 | wikibase:rank         | wikibase:NormalRank                          |
| s:Q935945-353E9448-4D20-48E1-AEEC-EEC8AE450349 | rdf:type              | wikibase:BestRank                            |
| s:Q935945-353E9448-4D20-48E1-AEEC-EEC8AE450349 | prov:wasDerivedFrom   | ref:697ebe753b838814bf6eb9bc6d52bbae34d1a790 |
| s:Q935945-353E9448-4D20-48E1-AEEC-EEC8AE450349 | rdf:type              | wikibase:Statement                           |

[Tool]
Got 5 rows and 3 columns:
| subject                                        | property              | object                                       |
| ---------------------------------------------- | --------------------- | -------------------------------------------- |
| s:Q935945-3D3C1E62-DA99-4915-9172-6747EBEC11B9 | cast member (ps:P161) | Alex Vincent (wd:Q2735504)                   |
| s:Q935945-3D3C1E62-DA99-4915-9172-6747EBEC11B9 | wikibase:rank         | wikibase:NormalRank                          |
| s:Q935945-3D3C1E62-DA99-4915-9172-6747EBEC11B9 | rdf:type              | wikibase:BestRank                            |
| s:Q935945-3D3C1E62-DA99-4915-9172-6747EBEC11B9 | prov:wasDerivedFrom   | ref:697ebe753b838814bf6eb9bc6d52bbae34d1a790 |
| s:Q935945-3D3C1E62-DA99-4915-9172-6747EBEC11B9 | rdf:type              | wikibase:Statement                           |

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property              | object                                       |
| ---------------------------------------------- | --------------------- | -------------------------------------------- |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | cast member (ps:P161) | Catherine Hicks (wd:Q230789)                 |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | wikibase:rank         | wikibase:NormalRank                          |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | rdf:type              | wikibase:BestRank                            |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | prov:wasDerivedFrom   | ref:3255dfdb9d19b3914675b49cab82c0e97b37ab5f |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | rdf:type              | wikibase:Statement                           |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | prov:wasDerivedFrom   | ref:4b210979265c396e054a16f77fc1b13414204915 |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | prov:wasDerivedFrom   | ref:52df1f7de4ed2cad213516e6ac3a47f77d66c6cf |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | prov:wasDerivedFrom   | ref:780933e795fa5d2e0b18c444e4bee7a7bdeb6575 |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | prov:wasDerivedFrom   | ref:dbe7abbe749934eb5a147388e2320507a80f668c |
| s:q935945-484195B3-C3DC-4CED-8DCA-8B91F3510086 | prov:wasDerivedFrom   | ref:e755fc2f1b30b36b93173bcbbf500171ecc2966f |
| ...                                            | ...                   | ...                                          |

[Tool]
Got 5 rows and 3 columns:
| subject                                        | property              | object                                       |
| ---------------------------------------------- | --------------------- | -------------------------------------------- |
| s:Q935945-9B816757-E06D-40DE-80B7-D1DF36BBB07E | cast member (ps:P161) | Jack Colvin (wd:Q686682)                     |
| s:Q935945-9B816757-E06D-40DE-80B7-D1DF36BBB07E | wikibase:rank         | wikibase:NormalRank                          |
| s:Q935945-9B816757-E06D-40DE-80B7-D1DF36BBB07E | rdf:type              | wikibase:BestRank                            |
| s:Q935945-9B816757-E06D-40DE-80B7-D1DF36BBB07E | prov:wasDerivedFrom   | ref:697ebe753b838814bf6eb9bc6d52bbae34d1a790 |
| s:Q935945-9B816757-E06D-40DE-80B7-D1DF36BBB07E | rdf:type              | wikibase:Statement                           |

[Tool]
Got 9 rows and 3 columns:
| subject                                        | property                 | object                                       |
| ---------------------------------------------- | ------------------------ | -------------------------------------------- |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | cast member (ps:P161)    | Brad Dourif (wd:Q329734)                     |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | character role (pq:P453) | Chucky (wd:Q25097)                           |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | wikibase:rank            | wikibase:NormalRank                          |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | rdf:type                 | wikibase:BestRank                            |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | prov:wasDerivedFrom      | ref:52df1f7de4ed2cad213516e6ac3a47f77d66c6cf |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | rdf:type                 | wikibase:Statement                           |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | prov:wasDerivedFrom      | ref:780933e795fa5d2e0b18c444e4bee7a7bdeb6575 |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | prov:wasDerivedFrom      | ref:d5847b9b6032aa8b13dae3c2dfd9ed5d114d21b3 |
| s:q935945-9D916916-99C8-46E5-8AE1-C37A8DFA859F | prov:wasDerivedFrom      | ref:e755fc2f1b30b36b93173bcbbf500171ecc2966f |

[Assistant]
We have found that for the film "Child's Play" (wd:Q935945), Brad Dourif (wd:Q329734) is listed as a "cast member" with the qualifier "character role" (wd:P453) as Chucky (wd:Q25097).

Therefore, the answer is that Brad Dourif does the voice for Chucky in "Child's Play".

Now, I will construct a SPARQL query that returns the actor who played Chucky in "Child's Play" (1988), including the relevant IRIs.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query correctly identifies Brad Dourif as the actor associated with the character Chucky in Child's Play (1988) using the 'cast member' property with the 'character role' qualifier. However, the question specifically asks for the voice actor, and in Wikidata, the property 'voice actor' (P725) is more precise for voice roles. The current query may also include live-action actors if present. To improve precision, the query should use the 'voice actor' property (P725) with the appropriate qualifiers for the character and film, if available. Additionally, the query should return the IRI of the actor, not just the label, and any labels should be in OPTIONAL clauses.

[Assistant]
Thank you for the feedback. To refine the query:

1. The property "voice actor" (wdt:P725) is more precise for voice roles than "cast member" (wdt:P161).
2. We should check if the "voice actor" property is used for either the character Chucky (wd:Q25097) or the film Child's Play (wd:Q935945), possibly with qualifiers for the character and/or film.
3. The query should return the IRI of the actor, and any labels should be optional.

First, let's check if the "voice actor" property is used for Chucky (wd:Q25097), possibly with a qualifier for the film.

[Tool] Got no rows and 3 columns

[Assistant]
There are no statements using the "voice actor" property (P725) directly on the Chucky (wd:Q25097) entity.

Next, let's check if the "voice actor" property is used for the film "Child's Play" (wd:Q935945), possibly with a qualifier for the character Chucky.

[Tool] Got no rows and 3 columns

[Assistant]
There are no statements using the "voice actor" property (P725) directly on the "Child's Play" (wd:Q935945) entity either.

Given that the "voice actor" property is not used in these places, Wikidata currently models the connection using "cast member" (P161) with a "character role" (P453) qualifier, as previously found.

However, to be thorough, let's check if the "voice actor" property is used anywhere with Chucky (wd:Q25097) as the object. This would cover the case where someone is listed as the voice actor of Chucky, regardless of the film.

[Tool] Got no rows and 3 columns

[Assistant]
There are no statements in Wikidata using the "voice actor" property (P725) with Chucky (wd:Q25097) as the object.

Given this, the most precise way to answer the question with the current state of Wikidata is to use the "cast member" (P161) property with the "character role" (P453) qualifier, as in the previous query. This approach ensures we only get the actor associated with the character Chucky in the film "Child's Play" (wd:Q935945).

To further refine the query per your feedback, I will:
- Return the IRI of the actor.
- Add an OPTIONAL clause for the actor's label.

Here is the improved query:

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query correctly identifies Brad Dourif as the actor associated with Chucky in Child's Play (1988), but it does not specifically check for the 'voice actor' property (P725), which is the most accurate property for voice roles. The answer notes that Wikidata does not use the 'voice actor' property for Chucky in this film, which is a useful clarification. However, to be thorough, the query should also attempt to check for P725 (voice actor) for the character Chucky in this film, and only fall back to P161 (cast member) if P725 is not present. This would ensure the answer is as precise as possible and that the correct property is being used. Please refine the query to check for both properties and clarify in the answer which property was used.

[Assistant]
Thank you for the detailed feedback. To address it, I will:

1. Write a query that first attempts to find the voice actor for Chucky in Child's Play (1988) using the 'voice actor' property (P725) with appropriate qualifiers.
2. If no such statement exists, the query will fall back to using the 'cast member' property (P161) with the 'character role' qualifier.
3. The query will indicate which property was used for each result.
4. The query will return the IRI of the actor and optionally their label.

Let's construct the query using a UNION to combine both approaches and a variable to indicate which property was used.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
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" )
  }
}

London, UK is located in the following time zones: Europe/London, Greenwich Mean Time, UTC±00:00, and 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 http://amur:7001

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]
Let's break down the question:

1. The user is asking for the time zone of London, UK.
2. I need to identify the entity for London, UK, and the property for time zone.

First, I will search for the entity "London" in Wikidata.

[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 most relevant entity for "London, UK" is wd:Q84, which is the capital and largest city of England and the United Kingdom.

Next, I need to find the property for "time zone". I will search for properties related to "time zone".

[Tool]
Top 10 property alternatives:
1. located in time zone, also known as TZ, time zone, timezone (wd:P421 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): time zone for this item
2. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): qualifier to narrow down the precision of a date not fully specified by the Wikidata time datatype precision field
3. time index, also known as time coordinate, timestamp, temporal coordinate, relative time (wd:P4895 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): indicate when something happens relative to its beginning
4. point in time, also known as at time, as of, year, when, time of event (wd:P585 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
5. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
6. UTC timezone offset, also known as offset from UTC, UTC offset of timezone (wd:P2907 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): difference between Coordinated Universal Time (UTC) and this timezone, numeric value
7. start time, also known as start date, since, valid, join time, joined (wd:P580 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): time an entity begins to exist or a statement starts being valid, point in time
8. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): length of time of an event or process
9. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
10. date depicted, also known as depicted date, temporal coverage, shown as at date, depicts date, depicted time (wd:P2913 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): date represented in a work (for narrative works use P2408)

[Assistant]
The most relevant property for "time zone" is "located in time zone" (wdt:P421).

Now, I will construct a SPARQL query to find the time zone(s) of London (wd:Q84) using the property "located in time zone" (wdt:P421). I will also try to get the label of the time zone for clarity.

[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=refine):
The SPARQL query correctly retrieves all time zones associated with London (wd:Q84) using the property 'located in time zone' (wdt:P421). However, the query only returns the IRIs of the time zones and does not provide human-readable labels, which would be helpful for user understanding. While labels are not required, they are often expected for clarity, especially when multiple time zones are listed. To improve the answer, add OPTIONAL clauses to retrieve the rdfs:label for each timezone. The rest of the query logic is correct and complete.

[Assistant]
Thank you for the feedback. To improve the query, I will add an OPTIONAL clause to retrieve the rdfs:label for each time zone, filtered for English labels. This will make the results more user-friendly and clear.

Here is the refined SPARQL query:

```sparql
SELECT ?timezone ?timezoneLabel WHERE {
  wd:Q84 wdt:P421 ?timezone .
  OPTIONAL { ?timezone rdfs:label ?timezoneLabel FILTER (lang(?timezoneLabel) = "en") }
}
```

This query will return both the IRIs and the English labels of the time zones associated with London, UK.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all time zones associated with London (wd:Q84) using the 'located in time zone' property (wdt:P421). The query returns the IRIs of the time zones and optionally their English labels, which is appropriate. The answer provided is accurate and complete based on the query result. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?superbowl ?date WHERE {
  ?superbowl wdt:P31 wd:Q32096 ; wdt:P1923 wd:Q221878 ; wdt:P585 ?date .
}
ORDER BY ?date

The Seattle Seahawks went to the Super Bowl in the years 2006 (Super Bowl XL), 2014 (Super Bowl XLVIII), and 2015 (Super Bowl XLIX).

[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 http://amur:7001

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]
Let's break down the question:

1. We need to identify the entity for "Seattle Seahawks".
2. We need to identify the entity for "Super Bowl".
3. We need to find the property that links a sports team to their participation in the Super Bowl, and extract the year(s) of participation.

First, I'll search for the entity "Seattle Seahawks".

[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 main entity for the American football team "Seattle Seahawks" is wd:Q221878.

Next, I need to identify the entity for "Super Bowl" and then find the property that links a team to their participation in the Super Bowl. I'll search for the entity "Super Bowl".

[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 main entity for the NFL championship game "Super Bowl" is wd:Q32096.

Now, I need to find the property that links a sports team (Seattle Seahawks) to their participation in the Super Bowl. This could be a property like "participant in", "has part", "competition participated in", or something similar. I'll search for properties related to "Super Bowl" for the Seattle Seahawks entity.

[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 wdtn/p/wdt): authority control identifier in WorldCat's “FAST Linked Data” authority file

No other items found

[Assistant]
The property "participant in" (wdt:P1344) is likely used to indicate events in which the Seattle Seahawks participated, such as the Super Bowl.

Next, I will list the objects for the property "participant in" (wdt:P1344) for the Seattle Seahawks (wd:Q221878) to see which Super Bowls they participated in.

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

[Assistant]
It appears that the only event linked with "participant in" for the Seattle Seahawks is "Beast Quake" (wd:Q16950836), which is not a Super Bowl. This suggests that either the property used is different, or the data is not fully populated for this team.

Next, I'll try searching for properties related to "competition" or "final" for the Seattle Seahawks, as the Super Bowl is the NFL final. I'll search for properties related to "final" for the Seattle Seahawks entity.

[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. 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
3. 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
4. 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
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. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
7. 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
8. YouTube channel ID, also known as YouTube account, YouTube channel, YouTube channel identifier, official YouTube channel, youtube.com/channel/ (wd:P2397 as p/wdt): ID of the YouTube channel of a person or organisation (not to be...f the channel) The ID can also be used for music.youtube.com IDs, website username or ID
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. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as p/wdt): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon

No other items found

[Assistant]
No new relevant properties were found for "final" that would indicate Super Bowl participation.

Since the Super Bowl is a specific event, perhaps each Super Bowl (e.g., "Super Bowl XLVIII") is an entity, and teams are linked to those entities as participants. I will search for entities related to "Super Bowl" and see if they have properties indicating participants.

[Tool]
Top 10 entity alternatives:
1. Super Bowl XLVIII, also known as 2014 Super Bowl, Super Bowl 48, Super Bowl 2014 (wd:Q1190093): 2014 edition of the Super Bowl
2. Super Bowl XLVIII post-game (wd:Q123693288)
3. Super Bowl XLVIII halftime show (wd:Q17026444): halftime show of the 2014 Super Bowl
4. Security at Super Bowl XLVIII (wd:Q123693421)
5. Super Bowl XLVIII Kick-Off Spectacular (wd:Q123693289)
6. Super Bowl XLVIII pre-game ceremonies (wd:Q123693287)
7. Super Bowl Boulevard at Super Bowl XLVIII (wd:Q123693405)
8. Media coverage of Super Bowl XLVIII (wd:Q123700504)
9. Seattle Seahawks Super Bowl XLVIII victory party (wd:Q123693433)
10. Super Bowl, also known as AFL–NFL World Championship Game (wd:Q32096): National Football League championship game

[Assistant]
"Super Bowl XLVIII" (wd:Q1190093) is an entity, and "Seattle Seahawks Super Bowl XLVIII victory party" (wd:Q123693433) is also listed, suggesting a connection.

Now, I will check which properties on "Super Bowl XLVIII" (wd:Q1190093) might indicate the participating teams. I'll search for properties related to "participant" or "team" for this entity.

[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. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
4. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
5. 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. 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
7. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
9. 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).
10. 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)

No other items found

[Assistant]
The property "participating team" (wd:P1923) is used to indicate which teams participated in Super Bowl XLVIII.

To find all Super Bowls the Seattle Seahawks participated in, I should look for Super Bowl entities where the Seattle Seahawks (wd:Q221878) is a value for "participating team" (wd:P1923). Then, I can extract the year of each Super Bowl.

Now, I'll write a SPARQL query to find all Super Bowl entities (instances of wd:Q32096) where the Seattle Seahawks were a participating team, and retrieve the year of the event.

[Tool]
Got 3 rows and 2 columns:
| superbowl                       | date                                |
| ------------------------------- | ----------------------------------- |
| Super Bowl XL (wd:Q904928)      | 2006-02-05T00:00:00Z (xsd:dateTime) |
| Super Bowl XLVIII (wd:Q1190093) | 2014-02-02T00:00:00Z (xsd:dateTime) |
| Super Bowl XLIX (wd:Q1710023)   | 2015-02-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and retrieves the IRIs of the Super Bowl events in which the Seattle Seahawks participated, along with the corresponding dates. The answer accurately reflects the years the Seahawks went to the Super Bowl. All relevant rules are followed, and the output is complete and correct.