PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?stadium WHERE {
  wd:Q221878 wdt:P115 ?stadium .
}

The Seattle Seahawks play at Lumen Field.

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

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

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

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

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

[User] where do the seattle seahawks play?

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

[Tool]
Example 1:
Question:
who is the senator of the state of texas?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x p:P39 ?p .
  ?p ps:P39 wd:Q4416090 .
  ?p pq:P768 ?y .
  ?y wdt:P131 wd:Q1439 .
  FILTER NOT EXISTS {
    ?p pq:P582 ?z .
  }
}

Using entities:
Texas, also known as Lone Star State, US-TX, TX, Texas, United States, Tex. (wd:Q1439): state of the United States of America
United States senator, also known as U.S. senator, US senator (wd:Q4416090): member of the United States Senate

Using properties:
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 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
position held, also known as function, held position, holds position, job, office held (wd:P39 as p/ps): subject currently or formerly holds the object position or public office
end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as pq): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
electoral district, also known as riding, seat, ward, electoral area, electorate (wd:P768 as pq): electoral district this person is representing, or of the office... or "office contested" (P541) or "candidacy in election" (P3602)

Example 2:
Question:
what language do people speak in brazil wikipedia?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q155 wdt:P37 ?x .
}

Using entities:
Brazil, also known as br, Brasil, Federative Republic of Brazil (wd:Q155): country in South America

Using properties:
official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt): language designated as official by this item, language used

Example 3:
Question:
what channel does anderson cooper come on?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q316997 p:P108 ?p .
  ?p ps:P108 ?x .
  ?x wdt:P31 / wdt:P279 * wd:Q1616075 .
}

Using entities:
television station, also known as TV station (wd:Q1616075): organization that transmits content on television
Anderson Cooper, also known as Anderson Hays Cooper (wd:Q316997): American journalist (born 1967), television presenter, journalist, writer, model, actor

Using properties:
employer, also known as working at, working for, working place, works at, works for (wd:P108 as p/ps): person or organization for which the subject works or worked, affiliation
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant] From the examples, we can see that the SPARQL queries often involve finding specific properties of certain entities. In our case, we need to find where the Seattle Seahawks play. We'll first identify the entity for the Seattle Seahawks and then look for a property that indicates their home stadium.

[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 top result for "Seattle Seahawks" is `wd:Q221878`, which represents the American football team. Next, we need to find the property that indicates where they play. This could be something like "home stadium" or "venue."

Let's search for properties related to the home stadium for the Seattle Seahawks.

[Tool]
Top 10 property alternatives:
1. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as wdt/p): home stadium or venue of a sports team or applicable performing arts organization, location
2. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
3. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as wdt/p): league or competition in which team or player has played, or in which an event occurs, participant in
4. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
6. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as wdt/p): 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
7. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as wdt/p): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
8. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
9. SportsLogos.net team ID, also known as SportsLogos.net ID (wd:P9122 as wdt/p): identifier for a sports organization on the website Sports Logos
10. mascot (wd:P822 as wdt/p): mascot of an organization, e.g. a sports team or university

No other items found

[Assistant]
The property `wd:P115` (home venue) seems to be the most relevant for finding the home stadium of the Seattle Seahawks. Let's construct a SPARQL query to find the home venue of the Seattle Seahawks.

Here is the SPARQL query:

```sparql
SELECT ?stadium WHERE {
  wd:Q221878 wdt:P115 ?stadium .
}
```

Let's execute this query to find the home stadium of the Seattle Seahawks.

[Tool]
Got 1 row and 1 column:
| stadium                  |
| ------------------------ |
| Lumen Field (wd:Q612736) |

[Assistant]
The SPARQL query returned the home stadium of the Seattle Seahawks as `Lumen Field` (wd:Q612736).

Therefore, the Seattle Seahawks play at Lumen Field.

Here is the final SPARQL query and answer:

```sparql
SELECT ?stadium WHERE {
  wd:Q221878 wdt:P115 ?stadium .
}
```

Answer: The Seattle Seahawks play at Lumen Field.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?timezone WHERE {
  wd:Q16568 wdt:P421 ?timezone .
}

Eastern Daylight Time

[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 jacksonville fl timezone?

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

[Tool]
Example 1:
Question:
what system of government does nigeria have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q1033 wdt:P122 ?x .
}

Using entities:
Nigeria, also known as Federal Republic of Nigeria, FRN, Naija, NG, NGA (wd:Q1033): sovereign state in West Africa

Using properties:
basic form of government, also known as form of government, government, type of government (wd:P122 as wdt): subject's government

Example 2:
Question:
who was emperor diocletian?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q43107 wdt:P800 ?x .
}

Using entities:
Diocletian, also known as Marcus Aurelius Gaius Valerius Diocletianus, Gaius Aurelius Valerius Diocletianus, Diocletianus, Caius Aurelius Valerius Diocletianus (wd:Q43107): Augustus of the Eastern Roman Empire (244-311), politician, monarch

Using properties:
notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdt): notable scientific, artistic or literary work, or other work of significance among subject's works

Example 3:
Question:
which province in canada is the most populated?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P31 wd:Q11828004 ; wdt:P1082 ?y .
}
ORDER BY DESC ( ?y )
LIMIT 1

Using entities:
province of Canada, also known as province in Canada (wd:Q11828004): type of administrative division of Canada

Using properties:
population, also known as inhabitants, human population (wd:P1082 as wdt): number of people inhabiting the place; number of people of subject
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant] None of these examples directly relate to finding the timezone of a city. However, we can infer that we need to find the entity for Jacksonville, Florida, and then look for a property that might indicate its timezone. Let's start by searching for the entity representing Jacksonville, Florida.

[Tool]
Top 10 entity alternatives:
1. Jacksonville, also known as Jacksonville, FL, Jacksonville, Florida (wd:Q16568): city in Duval County, Florida, United States
2. Jacksonville Beach, also known as Jacksonville Beach, FL, Jacksonville Beach, Florida (wd:Q988928): city in Duval County, Florida, United States
3. Ortega, also known as Ortega, Jacksonville, Florida (wd:Q7104308): neighborhood of Jacksonville, Florida, US
4. San Marco, also known as San Marco, Florida, South Jacksonville, Florida (wd:Q14686391): former city of South Jacksonville, Florida, United States; neighborhood of Jacksonville
5. Bayard, also known as Bayard, Jacksonville, Florida (wd:Q4874329): human settlement in Jacksonville, Florida, United States of America
6. history of Jacksonville, Florida, also known as Jacksonville, Florida history (wd:Q17022720): aspect of history
7. education in Jacksonville, Florida, also known as education of Jacksonville, Florida, Jacksonville, Florida education (wd:Q5341043): Overview of education in Jacksonville, Florida
8. Northside, also known as North Jacksonville, Florida, Northside (Jacksonville), Northside Jacksonville, Northside, Jacksonville, North Jacksonville (wd:Q85778622): region of Jacksonville, Florida, United States
9. Jacksonville Heights, also known as Jacksonville Heights, FL, Jacksonville Heights, Florida (wd:Q122594337): hamlet in Duval County, Florida, United States
10. Jacksonville, Florida Auditions (wd:Q114464461): episode of American Idol (S8 E5)

[Assistant] The top result is the entity for Jacksonville, Florida (wd:Q16568). Now, let's search for properties related to time zones to see if we can find a relevant property.

[Tool]
Top 10 property alternatives:
1. located in time zone, also known as TZ, time zone, timezone (wd:P421 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): time zone for this item
2. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): 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 wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): 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 wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
5. UTC timezone offset, also known as offset from UTC, UTC offset of timezone (wd:P2907 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): difference between Coordinated Universal Time (UTC) and this timezone, numeric value
6. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
7. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): 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 wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): 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 wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
10. IANA timezone ID (wd:P6687 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): identifier of a time zone in the IANA database

[Assistant] The property "located in time zone" (wd:P421) seems to be the most relevant for our query. Let's check if this property is used for the entity representing Jacksonville, Florida.

[Tool]
Got 1 row and 3 columns:
| subject                  | property                        | object                               |
| ------------------------ | ------------------------------- | ------------------------------------ |
| Jacksonville (wd:Q16568) | located in time zone (wdt:P421) | Eastern Daylight Time (wd:Q15080196) |

[Assistant]
The entity for Jacksonville, Florida (wd:Q16568) has the property "located in time zone" (wdt:P421) with the object "Eastern Daylight Time" (wd:Q15080196).

Now, let's construct a SPARQL query to retrieve this information and provide the answer.

```sparql
SELECT ?timezone WHERE {
  wd:Q16568 wdt:P421 ?timezone .
}
```

Let's execute this query to confirm the result.

[Tool]
Got 1 row and 1 column:
| timezone                             |
| ------------------------------------ |
| Eastern Daylight Time (wd:Q15080196) |

[Assistant]
The SPARQL query confirms that the timezone for Jacksonville, Florida is "Eastern Daylight Time" (wd:Q15080196).

Therefore, the answer to the question "What is Jacksonville, FL timezone?" is:

**Eastern Daylight Time**

Here is the final SPARQL query:

```sparql
SELECT ?timezone WHERE {
  wd:Q16568 wdt:P421 ?timezone .
}
```

And the answer:

**Eastern Daylight Time**

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?governmentForm WHERE {
  wd:Q145 wdt:P122 ?governmentForm .
}

Got 1 row and 1 column:
| governmentForm                      |
| ----------------------------------- |
| constitutional monarchy (wd:Q41614) |

The form of government of the United Kingdom is a constitutional monarchy.

[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 form of government is the uk?

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

[Tool]
Example 1:
Question:
what currency should you take to thailand?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q869 wdt:P38 ?x .
}

Using entities:
Thailand, also known as Land of Smiles, THA, th, Siam, Kingdom of Thailand (wd:Q869): country in Southeast Asia

Using properties:
currency, also known as base currency, used money (wd:P38 as wdt): currency used by item, uses

Example 2:
Question:
what has ian somerhalder played in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P161 wd:Q130447 ; wdt:P31 / wdt:P279 * wd:Q11424 .
}

Using entities:
film, also known as cinematic work, moving picture, movie, motion pictures, motion picture (wd:Q11424): sequence of images that give the impression of movement, stored on film stock
Ian Somerhalder (wd:Q130447): American director and actor, executive producer, television actor, businessperson, philanthropist, film producer, stage actor, film actor, director, actor, model

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as wdt): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
what tv show did joey lawrence play on?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P161 wd:Q550395 ; wdt:P31 / wdt:P279 * wd:Q5398426 .
}

Using entities:
television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
Joey Lawrence (wd:Q550395): American actor, singer and songwriter, television producer, singer-songwriter, television actor, stage actor, voice actor, film actor, musician, composer

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as wdt): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant] None of these examples directly relate to the form of government of a country, but we can use them as a reference for structuring our query. We need to identify the entity for the United Kingdom and the property for the form of government. Let's start by searching for the entity representing the United Kingdom.

[Tool]
Top 10 entity alternatives:
1. United Kingdom, also known as U.K., UK, U. K., U K, United Kingdom of Great Britain and Northern Ireland (wd:Q145): country in north-west Europe
2. United Kingdom, also known as U K, The United Kingdom of Great Britain and Northern Ireland, The UK, U. K., Great Britain and Northern Ireland (wd:Q145): country in north-west Europe
3. United Kingdom of Great Britain and Ireland, also known as Great Britain and Ireland, UK, UKGBI, United Kingdom (wd:Q174193): historical sovereign state (1801–1922)
4. A United Kingdom, also known as United Kingdom (wd:Q21528200): 2016 film by Amma Asante
5. United Kingdom in the Eurovision Song Contest 2010, also known as United Kingdom (wd:Q974636)
6. United Kingdom (wd:Q108280869): 1989 studio album by American Music Club
7. Pedlars Act 1871, also known as Pedlars Act 1881, United Kingdom, (wd:Q55629342): 1871 United Kingdom of Great Britain and Ireland Act of Parliament 34 & 35 Vic c. 96
8. United Kingdom (wd:Q110577800): Manny Montes's single
9. United Kingdom (wd:Q7887906): album by Manny Montes
10. United Kingdom (wd:Q96412324)

[Assistant] The correct entity for the United Kingdom is `wd:Q145`. Now, let's search for the property that represents the form of government.

[Tool]
Top 10 property alternatives:
1. basic form of government, also known as form of government, government, type of government (wd:P122 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): subject's government
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): seat of government of a country, province, state or other type of administrative territorial entity
3. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
4. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): political office that is fulfilled by the head of the government of this item
5. authority, also known as executive authority, governed by, governing authority, governing body, has authority (wd:P797 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): entity having executive power on given entity
6. voting system, also known as electoral system, voting system, type of election (wd:P8196 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): system used for this election or vote
7. Classification of the Functions of Government, also known as COFOG ID, COFOG number (wd:P9798 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): UN classification to compare government agencies across countries
8. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): political office that is fulfilled by the head of state of this item
9. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): text through which an institution or object has been created or established

[Assistant]
The property `wd:P122` (basic form of government) seems to be the most relevant for our query. Let's construct a simple SPARQL query to find the form of government of the United Kingdom.

```sparql
SELECT ?governmentForm WHERE {
  wd:Q145 wdt:P122 ?governmentForm .
}
```

Now, let's execute this query to see the results.

[Tool]
Got 1 row and 1 column:
| governmentForm                      |
| ----------------------------------- |
| constitutional monarchy (wd:Q41614) |

[Assistant]
The form of government of the United Kingdom is a constitutional monarchy. Here is the final SPARQL query and answer:

```sparql
SELECT ?governmentForm WHERE {
  wd:Q145 wdt:P122 ?governmentForm .
}
```

Answer: The form of government of the United Kingdom is a constitutional monarchy.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?language WHERE {
  wd:Q213 wdt:P37 ?language .
}

The language spoken in the Czech Republic is Czech.

[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 spoken in czech republic?

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

[Tool]
Example 1:
Question:
where is the university of west alabama located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q637346 wdt:P131 ?x .
}

Using entities:
University of West Alabama, also known as West Alamaba University, uwa.edu, Livingston Female Academy, UWA (wd:Q637346): public university in Livingston, Alabama, United States

Using properties:
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 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

Example 2:
Question:
what time zone is fresno ca?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q43301 wdt:P421 ?x .
}

Using entities:
Fresno, also known as Fresno, CA, Fresno, California (wd:Q43301): county seat of Fresno County, California, United States

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

Example 3:
Question:
what time zone is maryville tn?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?p wdt:P150 wd:Q1094500 ; wdt:P421 ?x .
}

Using entities:
Maryville, also known as Maryville, Tennessee, Maryville, TN (wd:Q1094500): city in Tennessee, USA

Using properties:
contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as wdt): (list of) direct subdivisions of an administrative territorial entity, has part(s)
located in time zone, also known as TZ, time zone, timezone (wd:P421 as wdt): time zone for this item

[Assistant] Based on the examples, we need to identify the entity for the Czech Republic and the property that indicates the language spoken there. Let's first search for the entity representing the Czech Republic.

[Tool]
Top 10 entity alternatives:
1. Czech Republic, also known as CZR, CZE, Czechia, CZ (wd:Q213): country in Central Europe
2. Czech Republic, also known as CZ, CZE, CZR, Czechia (wd:Q213): country in Central Europe
3. Czech Republic (wd:Q3496079): member state of the Czech and Slovak Federal Republic (1990–1992)
4. Czech Republic (wd:Q5201764): constituency of the European Parliament
5. Czech Republic, also known as Star Trek Czech Republic (wd:Q99288382): the country of the Czech Republic as depicted in Star Trek
6. CZECH REPUBLIC (wd:Q60164570)
7. Czech Republic (wd:Q59760445): scholarly article by LUKAS LINEK & ZDENKA MANSFELDOVA published December 2004 in European Journal of Political Research
8. Czech Republic (wd:Q59212257): scholarly article by Aleš Kudrnáč et al published December 2016 in European Journal of Political Research Political Data Yearbook
9. Czech Republic (wd:Q59212246): scholarly article by IVAN PETÚŠEK & ALEŠ KUDRNÁČ published 5 Jul...n European Journal of Political Research Political Data Yearbook
10. Czech Republic (wd:Q57542866): scholarly article

[Assistant] The correct entity for the Czech Republic is `wd:Q213`. Now, let's find the property that indicates the language spoken in a country.

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): language designated as official by this item, language used
2. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): language(s) that a person or a people speaks, writes or signs, including the native language(s)
3. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
4. 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 wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): audio file representing the speaking voice of a person; or of an animated cartoon or other fictitious character, audio
5. programmed in, also known as language, programming language, written in (wd:P277 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): the programming language(s) in which the software is developed
6. language style, also known as manner, term register, obsolete, register, sense register (wd:P6191 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): to denote of the way a sense of a word is used, e.g., slang, vulgarism, babytalk, colloquialism, etc.
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): language widely used (spoken or written) in this place or at this event or organisation
8. spoken by, also known as speaker (wd:P10894 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): the person who is speaking in this audio or video file
9. speaker, also known as speech by, spoken by (wd:P823 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): person who is speaker for this event, ceremony, keynote, presentation or in a literary work, participant, spoken by
10. indigenous to, also known as native to, originating from, spoken by (wd:P2341 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): place or ethnic group where a language, art genre, cultural trad...biological species or variety is found (or was originally found)

[Assistant]
The property `wd:P37` (official language) seems to be the most appropriate for identifying the language spoken in a country. Let's construct a SPARQL query to find the language spoken in the Czech Republic using this property.

```sparql
SELECT ?language WHERE {
  wd:Q213 wdt:P37 ?language .
}
```

Now, let's execute this query.

[Tool]
Got 1 row and 1 column:
| language         |
| ---------------- |
| Czech (wd:Q9056) |

[Assistant]
The language spoken in the Czech Republic is Czech, represented by the entity `wd:Q9056`.

Here is the final SPARQL query and answer:

```sparql
SELECT ?language WHERE {
  wd:Q213 wdt:P37 ?language .
}
```

Answer: The language spoken in the Czech Republic is Czech.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?superBowl ?year WHERE {
  ?superBowl wdt:P31 wd:Q32096 .
  ?superBowl wdt:P1346 wd:Q276539 .
  ?superBowl wdt:P585 ?year .
}

The Baltimore Ravens won the Super Bowl in the years 2001 and 2013.

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

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

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

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

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

[User] what year did the baltimore ravens win superbowl?

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

[Tool]
Example 1:
Question:
where did jack johnson go to high school?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q297097 wdt:P69 ?x .
  ?x wdt:P31 / wdt:P279 * wd:Q9826 .
}

Using entities:
Jack Johnson, also known as Jack Hody Johnson (wd:Q297097): American singer-songwriter, singer-songwriter, recording artist, record producer, film director, manufacturer, guitarist, composer, singer, surfer
high school, also known as H.S., upper middle school, senior high school, HS (wd:Q9826): institution which provides all or part of secondary education

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt): educational institution attended by subject, affiliation

Example 2:
Question:
what team did joe hart play for before man city?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q187184 p:P54 ?p .
  ?p ps:P54 ?x ; pq:P582 ?y .
  wd:Q10520 p:P54 ?q .
  ?q ps:P54 wd:Q50602 ; pq:P580 ?z .
  FILTER ( ?y < ?z )
}

Using entities:
David Beckham, also known as Becks, Beckham (wd:Q10520): English association football player, association football player, sports executive, businessperson, entrepreneur, blogger, actor, model
Joe Hart, also known as Charles Joseph John Hart (wd:Q187184): English association football player, association football player, cricketer
Manchester City F.C., also known as The Sky Blues, City, The Citizens, The Blues, Sky Blues (wd:Q50602): association football club in Manchester, England

Using properties:
member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as p/ps): sports teams or clubs that the subject represents or represented, member of
start time, also known as start date, since, valid, join time, joined (wd:P580 as pq): time an entity begins to exist or a statement starts being valid, point in time
end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as pq): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time

Example 3:
Question:
where tupac grew up?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q6107 wdt:P19 ?x .
}

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

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

[Assistant] Based on the examples, we need to identify the Baltimore Ravens and the Super Bowl, and then find the year they won it. Let's first search for the Baltimore Ravens entity.

[Tool]
Top 10 entity alternatives:
1. Baltimore Ravens (wd:Q276539): National Football League franchise in Baltimore, Maryland
2. history of the Baltimore Ravens, also known as the Baltimore Ravens history, Baltimore Ravens history (wd:Q16995510): aspect of history
3. Baltimore Ravens Cheerleaders (wd:Q4852915): NFL cheerleading squad
4. Baltimore Ravens awards (wd:Q97358836)
5. 2021 Baltimore Ravens season (wd:Q104869586): 26th season in franchise history
6. 2023 Baltimore Ravens season (wd:Q116170173): 28th season in franchise history
7. 2022 Baltimore Ravens season (wd:Q110445353): 27th season in franchise history
8. 2019 Baltimore Ravens season (wd:Q60525815): Ravens record would be 4-12?
9. 2018 Baltimore Ravens season (wd:Q47454104): 23rd season in franchise history
10. 2020 Baltimore Ravens season (wd:Q80964250): 25th season in franchise history

[Assistant] The top result is the Baltimore Ravens NFL franchise (wd:Q276539). Now let's search for the Super Bowl entity.

[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 top result is the Super Bowl (wd:Q32096). Now, we need to find out the years when the Baltimore Ravens won the Super Bowl. We can use the `p:P54` property to check the teams that participated in the Super Bowl and filter by the Baltimore Ravens.

Let's construct a query to find the years when the Baltimore Ravens won the Super Bowl.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the initial query did not return any results. This might be because the property `P54` (member of sports team) is not the correct one to use for finding the winner of the Super Bowl. Instead, we should look for a property that indicates the winner of the Super Bowl.

Let's search for a property that indicates the winner of a sports event.

[Tool]
Top 10 property alternatives:
1. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): 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
2. competition won, also known as won event, won, winner of, victory (wd:P2522 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): competition or sports event won by the subject, participant in
3. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): award or recognition received by a person, organization or creative work
4. number of wins, also known as games won, won, wins, W, sporting wins (wd:P1355 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): number of sporting matches, games or events won
5. results, also known as output, result (wd:P2501 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): results of a competition such as sports or elections
6. has effect, also known as has symptom, implies, leads to, led to, outcome (wd:P1542 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): effect of this item, followed by
7. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): person or organization who grants an award, certification, grant, or role
8. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): underlying cause, entity that ultimately resulted in this effect, follows
9. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): significant or notable events associated with the subject
10. successful candidate, also known as election winner, winning candidate, winner of election, election won by, elected (wd:P991 as wdt/wdtn/prn/pq/pqv/pqn/p/ps/pr/psn/prv/psv): person(s) or political organization(s) elected after the election, candidate, winner

[Assistant]
The property `P1346` (winner) seems to be the most appropriate for indicating the winner of a competition or sports event. Let's use this property to find the years when the Baltimore Ravens won the Super Bowl.

We will construct a query to find the years when the Baltimore Ravens (wd:Q276539) won the Super Bowl (wd:Q32096).

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the query did not return any results. This might be because the Super Bowl entity (wd:Q32096) does not directly link to the winner using the `P1346` property. Instead, we need to find the specific Super Bowl events where the Baltimore Ravens were the winners.

Let's search for specific Super Bowl events and then check if the Baltimore Ravens won those events.

[Tool]
Top 10 entity alternatives:
1. Super Bowl XXXV, also known as 2001 Super Bowl, Super Bowl 35, Super Bowl 2001 (wd:Q625210): 2001 edition of the Super Bowl
2. Super Bowl XXXVIII, also known as Super Bowl 38, 2004 Super Bowl, Super Bowl 2004 (wd:Q1049630): 2004 edition of the Super Bowl
3. Super Bowl XXXVI, also known as Super Bowl 2002, 2002 Super Bowl, Super Bowl 36 (wd:Q1073479): 2002 edition of the Super Bowl
4. Super Bowl XXXVII, also known as 2003 Super Bowl, Super Bowl 2003, Super Bowl 37 (wd:Q939802): 2003 edition of the Super Bowl
5. Super Bowl XXXV halftime show (wd:Q104877749): halftime show of the 2001 Super Bowl
6. Super Bowl XXXVI halftime show (wd:Q96406798): halftime show of the 2002 Super Bowl
7. Super Bowl XXXVII halftime show (wd:Q104878132): halftime show of the 2003 Super Bowl
8. Super Bowl XXXVIII halftime show (wd:Q85804187): halftime show of the 2004 Super Bowl
9. Super Bowl XXXVIII halftime show controversy, also known as Nipplegate (wd:Q541283): 2004 controversy over indecent exposure on television
10. Super Bowl, also known as AFL–NFL World Championship Game (wd:Q32096): National Football League championship game

[Assistant]
The top result is Super Bowl XXXV (wd:Q625210). Let's check if the Baltimore Ravens won this Super Bowl.

We will use the `P1346` (winner) property to see if the Baltimore Ravens (wd:Q276539) won Super Bowl XXXV (wd:Q625210).

Let's construct the query to find out.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the query did not return any results for Super Bowl XXXV. Let's try another approach by searching for the specific Super Bowl events where the Baltimore Ravens were involved and then check if they won those events.

Let's search for the specific Super Bowl events where the Baltimore Ravens were involved.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the query did not return any results for the specific Super Bowl events where the Baltimore Ravens were involved. Let's try a different approach by searching for the specific Super Bowl events and then checking if the Baltimore Ravens were the winners.

Let's list the Super Bowl events and then check if the Baltimore Ravens won any of them.

[Tool]
Got 59 rows and 3 columns, showing the first 10 rows below:
| subject                        | property              | object                 |
| ------------------------------ | --------------------- | ---------------------- |
| Super Bowl 50 (wd:Q7642193)    | instance of (wdt:P31) | Super Bowl (wd:Q32096) |
| Super Bowl LII (wd:Q15633579)  | instance of (wdt:P31) | Super Bowl (wd:Q32096) |
| Super Bowl XLVII (wd:Q126291)  | instance of (wdt:P31) | Super Bowl (wd:Q32096) |
| Super Bowl XLIX (wd:Q1710023)  | instance of (wdt:P31) | Super Bowl (wd:Q32096) |
| Super Bowl LI (wd:Q7642194)    | instance of (wdt:P31) | Super Bowl (wd:Q32096) |
| Super Bowl I (wd:Q847827)      | instance of (wdt:P31) | Super Bowl (wd:Q32096) |
| Super Bowl XLVI (wd:Q849079)   | instance of (wdt:P31) | Super Bowl (wd:Q32096) |
| Super Bowl XLV (wd:Q371433)    | instance of (wdt:P31) | Super Bowl (wd:Q32096) |
| Super Bowl XLI (wd:Q597607)    | instance of (wdt:P31) | Super Bowl (wd:Q32096) |
| Super Bowl LIII (wd:Q20204362) | instance of (wdt:P31) | Super Bowl (wd:Q32096) |
| ...                            | ...                   | ...                    |

[Assistant]
We have a list of Super Bowl events. Now, let's check if the Baltimore Ravens (wd:Q276539) won any of these Super Bowls. We will use the `P1346` (winner) property to find the years when the Baltimore Ravens won the Super Bowl.

Let's construct a query to find the specific Super Bowl events where the Baltimore Ravens were the winners.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the query did not return any results. Let's try a different approach by directly searching for the specific Super Bowl events where the Baltimore Ravens were involved and then checking if they won those events.

We will list the Super Bowl events and then check if the Baltimore Ravens were the winners of those events.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the query did not return any results. Let's try a different approach by directly searching for the specific Super Bowl events where the Baltimore Ravens were the winners.

We will list the Super Bowl events and then check if the Baltimore Ravens were the winners of those events using the `P1346` (winner) property.

Let's construct a query to find the specific Super Bowl events where the Baltimore Ravens were the winners.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the query is still not returning any results. Let's take a different approach by manually identifying the specific Super Bowl events where the Baltimore Ravens were involved and then checking if they won those events.

From the previous list of Super Bowl events, let's manually check the specific Super Bowl events where the Baltimore Ravens were involved. We know that the Baltimore Ravens have won the Super Bowl at least once, so let's check the known Super Bowl victories:

1. Super Bowl XXXV (2001)
2. Super Bowl XLVII (2013)

Let's construct a query to check if the Baltimore Ravens won these specific Super Bowl events.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that even the specific Super Bowl events are not returning results. Let's try a different approach by directly querying the Super Bowl events and their winners, and then filtering by the Baltimore Ravens.

We will list the Super Bowl events and their winners, and then filter to find the years when the Baltimore Ravens won.

[Tool] Got no rows and 3 columns

[Assistant]
It seems that the query is still not returning any results. Let's try a different approach by manually checking the specific Super Bowl events where the Baltimore Ravens are known to have won.

We know that the Baltimore Ravens have won the Super Bowl at least twice:
1. Super Bowl XXXV (2001)
2. Super Bowl XLVII (2013)

Let's manually verify these events and their winners.

### Super Bowl XXXV (2001)
- Entity: wd:Q625210

### Super Bowl XLVII (2013)
- Entity: wd:Q126291

Let's construct a query to check if the Baltimore Ravens (wd:Q276539) won these specific Super Bowl events.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that even the specific Super Bowl events are not returning results. Let's try a different approach by manually checking the specific Super Bowl events and their winners using a different property.

We will use the `P54` (member of sports team) property to check if the Baltimore Ravens were involved in these specific Super Bowl events and then verify if they won.

Let's construct a query to check if the Baltimore Ravens (wd:Q276539) were involved in Super Bowl XXXV (2001) and Super Bowl XLVII (2013) and if they won these events.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the `P54` property is also not returning the expected results. Let's try a different approach by directly querying the Super Bowl events and their winners using the `P1346` (winner) property, but this time we will manually specify the Super Bowl events and check if the Baltimore Ravens won them.

We will manually specify the Super Bowl events and check if the Baltimore Ravens (wd:Q276539) won them.

### Super Bowl XXXV (2001)
- Entity: wd:Q625210

### Super Bowl XLVII (2013)
- Entity: wd:Q126291

Let's construct a query to check if the Baltimore Ravens won these specific Super Bowl events using the `P1346` property.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that even the manual specification of the Super Bowl events is not returning any results. Let's try a different approach by directly querying the Super Bowl events and their winners, and then filtering by the Baltimore Ravens using a different method.

We will list the Super Bowl events and their winners, and then filter to find the years when the Baltimore Ravens won. We will use the `P1346` (winner) property and the `P585` (point in time) property to get the year.

Let's construct a query to list all Super Bowl events and their winners, and then filter by the Baltimore Ravens.

[Tool] Got no rows and 3 columns

[Assistant]
It seems that the query is still not returning any results. Let's try a different approach by manually specifying the Super Bowl events and their winners, and then checking if the Baltimore Ravens won them.

We know that the Baltimore Ravens have won the Super Bowl at least twice:
1. Super Bowl XXXV (2001)
2. Super Bowl XLVII (2013)

Let's manually verify these events and their winners using the `P1346` (winner) property and the `P585` (point in time) property.

### Super Bowl XXXV (2001)
- Entity: wd:Q625210

### Super Bowl XLVII (2013)
- Entity: wd:Q126291

Let's construct a query to check if the Baltimore Ravens (wd:Q276539) won these specific Super Bowl events using the `P1346` property and the `P585` property.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that even the manual specification of the Super Bowl events is not returning any results. Let's try a different approach by directly querying the Super Bowl events and their winners using a different method.

We will list the Super Bowl events and their winners, and then filter to find the years when the Baltimore Ravens won. We will use the `P1346` (winner) property and the `P585` (point in time) property to get the year.

Let's construct a query to list all Super Bowl events and their winners, and then filter by the Baltimore Ravens using a different approach. We will use the `wdt:P1346` property directly to check if the Baltimore Ravens won the Super Bowl events.

### Query to list all Super Bowl events and their winners, and filter by the Baltimore Ravens

[Tool]
Got 2 rows and 2 columns:
| superBowl                     | year                                |
| ----------------------------- | ----------------------------------- |
| Super Bowl XLVII (wd:Q126291) | 2013-02-03T00:00:00Z (xsd:dateTime) |
| Super Bowl XXXV (wd:Q625210)  | 2001-01-28T00:00:00Z (xsd:dateTime) |

[Assistant]
The query returned the years when the Baltimore Ravens won the Super Bowl:

- Super Bowl XXXV: 2001-01-28
- Super Bowl XLVII: 2013-02-03

So, the Baltimore Ravens won the Super Bowl in the years 2001 and 2013.

Here is the final SPARQL query and the answer:

```sparql
SELECT DISTINCT ?superBowl ?year WHERE {
  ?superBowl wdt:P31 wd:Q32096 .
  ?superBowl wdt:P1346 wd:Q276539 .
  ?superBowl wdt:P585 ?year .
}
```

The Baltimore Ravens won the Super Bowl in the years 2001 and 2013.

[Tool] Stopped generation process