PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language ?languageLabel WHERE {
  wd:Q148 wdt:P37 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( lang( ?languageLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| language                        | languageLabel           |
| ------------------------------- | ----------------------- |
| Standard Chinese (wd:Q727694)   | Standard Mandarin (en)  |
| Chinese (wd:Q7850)              | Chinese (en)            |
| languages of China (wd:Q835866) | languages of China (en) |

The main language used in China, according to Wikidata's "official language" property, is Standard Chinese (also known as Standard Mandarin). The query also returns "Chinese" and "languages of China," but "Standard Chinese" (Standard Mandarin) is the specific main official language.

Here is the SPARQL query that finds this information:

```sparql
SELECT ?language ?languageLabel WHERE {
  wd:Q148 wdt:P37 ?language .
  OPTIONAL { ?language rdfs:label ?languageLabel FILTER (lang(?languageLabel) = "en") }
}
```

Answer: The main language used in China is Standard Chinese (Standard Mandarin) (wd:Q727694).

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

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

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

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

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

[User] what is the main language used in china?

[Assistant]
Let's break down the question:

1. The user is asking for the main language used in China.
2. I need to identify the entity for China and the property for "main language" or "official language" or "language used".
3. I will search for the entity "China" and then look for properties related to language.

First, I'll search for the entity "China".

[Tool]
Top 10 entity alternatives:
1. People's Republic of China, also known as Zhōngguó, The PRC, RPC, CHN, Red China (wd:Q148): country in East Asia
2. porcelain, also known as china, fine china (wd:Q130693): ceramic material
3. China, also known as All under Heaven, Zhonghua, Cathay, Zhongguo, Tianxia (wd:Q29520): cultural region, ancient civilization, and nation in East Asia, ...in political situation and rarely refer to the Republic of China
4. China, also known as Sinae, Zhonghua, Zhongguo, Tianxia, Middle Kingdom (wd:Q29520): cultural region, ancient civilization, and nation in East Asia, ...in political situation and rarely refer to the Republic of China
5. 1125 China, also known as (1125) China, China (wd:Q136211): asteroid
6. China, also known as China, TX, China, Texas (wd:Q288864): city in Jefferson County, Texas, United States
7. China, also known as China, Maine, China, ME (wd:Q3447500): town in Kennebec County, Maine, United States
8. China (wd:Q932423): town in Ōshima district, Kagoshima prefecture, Japan
9. Tianxia, also known as All under Heaven, Tien Hsia, T'ien Hsia, Tien-hsia, T'ien-hsia (wd:Q955223): Chinese cultural, philosophical, and political concept
10. China (wd:Q942154): municipality in the Nuevo León, Mexico

[Assistant]
The correct entity for the country "People's Republic of China" is wd:Q148.

Next, I need to find the property related to the "main language" or "official language" of a country. I'll search for properties related to "language" for the entity wd:Q148.

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt/p): language designated as official by this item, language used
2. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as wdt/p): language widely used (spoken or written) in this place or at this event or organisation
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdt/p): label for the items in their official language  or their original language, name
5. culture, also known as archaeological culture, civilisation, civilization (wd:P2596 as wdt/p): human culture or people (or several cultures) associated with this item, part of
6. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as wdt/p): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
7. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
9. Libraries Australia ID, also known as CNLKIN, NLA Kinetica Service identifier, NLA (Australia) identifier, NLA (Australia) ID, Libraries Australia identifier (wd:P409 as wdt/p): identifier issued by the National Library of Australia (see also...F component. Format: 1-12 digits, removing leading zero-padding.
10. Unicode character, also known as emoji, emote, pictograph, Unicode symbol (wd:P487 as wdt/p): Unicode character representing the item (only if this is not a c...acter or a compatiblity character: in that case, use only P4213)

No other items found

[Assistant]
The most relevant properties are:
- official language (wdt:P37)
- language used (wdt:P2936)

Since the question asks for the "main language," the "official language" property is the most authoritative. I will write a SPARQL query to retrieve the official language(s) of the People's Republic of China (wd:Q148), returning the language IRIs and optionally their labels.

[Tool]
Got 3 rows and 2 columns:
| language                        | languageLabel           |
| ------------------------------- | ----------------------- |
| Standard Chinese (wd:Q727694)   | Standard Mandarin (en)  |
| Chinese (wd:Q7850)              | Chinese (en)            |
| languages of China (wd:Q835866) | languages of China (en) |

[Assistant]
The main language used in China, according to Wikidata's "official language" property, is Standard Chinese (also known as Standard Mandarin). The query also returns "Chinese" and "languages of China," but "Standard Chinese" (Standard Mandarin) is the specific main official language.

Here is the SPARQL query that finds this information:

```sparql
SELECT ?language ?languageLabel WHERE {
  wd:Q148 wdt:P37 ?language .
  OPTIONAL { ?language rdfs:label ?languageLabel FILTER (lang(?languageLabel) = "en") }
}
```

Answer: The main language used in China is Standard Chinese (Standard Mandarin) (wd:Q727694).


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

The Seattle Seahawks play at Lumen Field (wd:Q612736).

[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 break down the question:

1. The entity is "Seattle Seahawks," which is an NFL team.
2. The property we are interested in is the stadium or venue where they play their home games.

First, I will search for the entity "Seattle Seahawks" in Wikidata to get its identifier.

[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 correct entity for the NFL team Seattle Seahawks is wd:Q221878.

Next, I need to find the property that links a sports team to its home stadium or venue. I will search for properties related to "stadium" or "home venue."

[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 "home venue" (wd:P115) is the correct one to use for finding the stadium or venue where the Seattle Seahawks play.

Now, I will write a SPARQL query to find the home venue(s) of the Seattle Seahawks (wd:Q221878) using the property "home venue" (wd:P115). I will also try to retrieve the label of the venue for clarity.

[Tool]
Got 1 row and 2 columns:
| venue                    | venueLabel       |
| ------------------------ | ---------------- |
| Lumen Field (wd:Q612736) | Lumen Field (en) |

[Tool] Stopped generation process


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

Jacksonville, Florida is located in the Eastern Daylight Time zone (wd:Q15080196).

[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 break down the question:

1. The user is asking for the timezone of Jacksonville, Florida.
2. I need to identify the entity for Jacksonville, FL in Wikidata, and then find the property that represents its timezone.

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

[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 main entity for Jacksonville, Florida is wd:Q16568. Next, I need to find the property that represents the timezone of a city.

I'll search for properties related to "timezone".

[Tool]
Top 10 property alternatives:
1. located in time zone, also known as TZ, time zone, timezone (wd:P421 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): time zone for this item
2. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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 wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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 wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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 wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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 wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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 wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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 wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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 wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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 wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): identifier of a time zone in the IANA database

[Assistant]
The most relevant properties are:
- "located in time zone" (wd:P421)
- "IANA timezone ID" (wd:P6687)

I'll start by checking if Jacksonville, Florida (wd:Q16568) has the "located in time zone" (wd:P421) property.

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

[Tool]
Got 51 rows and 3 columns, showing the first 10 rows below:
| subject                              | property                               | object                                                                |
| ------------------------------------ | -------------------------------------- | --------------------------------------------------------------------- |
| Eastern Daylight Time (wd:Q15080196) | country (wdt:P17)                      | United States (wd:Q30)                                                |
| Eastern Daylight Time (wd:Q15080196) | subclass of (wdt:P279)                 | daylight saving time (wd:Q36669)                                      |
| Eastern Daylight Time (wd:Q15080196) | related image (wdt:P6802)              | <http://commons.wikimedia.org/wiki/Special:FilePath/US-Timezones.svg> |
| Eastern Daylight Time (wd:Q15080196) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/120ldxt7>                                           |
| Eastern Daylight Time (wd:Q15080196) | schema:description                     | cylchfa amser (cy)                                                    |
| Eastern Daylight Time (wd:Q15080196) | schema:name                            | Amser Golau Dydd y Dwyrain (cy)                                       |
| Eastern Daylight Time (wd:Q15080196) | rdf:type                               | wikibase:Item                                                         |
| Eastern Daylight Time (wd:Q15080196) | rdfs:label                             | Amser Golau Dydd y Dwyrain (cy)                                       |
| Eastern Daylight Time (wd:Q15080196) | skos:altLabel                          | Eastern Daylight Time (cy)                                            |
| Eastern Daylight Time (wd:Q15080196) | skos:prefLabel                         | Amser Golau Dydd y Dwyrain (cy)                                       |
| ...                                  | ...                                    | ...                                                                   |

[Tool]
Got 10 rows and 3 columns:
| subject                              | property   | object                          |
| ------------------------------------ | ---------- | ------------------------------- |
| Eastern Daylight Time (wd:Q15080196) | rdfs:label | Amser Golau Dydd y Dwyrain (cy) |
| Eastern Daylight Time (wd:Q15080196) | rdfs:label | Eastern Daylight Time (ca)      |
| Eastern Daylight Time (wd:Q15080196) | rdfs:label | Eastern Daylight Time (da)      |
| Eastern Daylight Time (wd:Q15080196) | rdfs:label | Eastern Daylight Time (de)      |
| Eastern Daylight Time (wd:Q15080196) | rdfs:label | Eastern Daylight Time (en)      |
| Eastern Daylight Time (wd:Q15080196) | rdfs:label | Eastern Daylight Time (it)      |
| Eastern Daylight Time (wd:Q15080196) | rdfs:label | Eastern Daylight Time (nl)      |
| Eastern Daylight Time (wd:Q15080196) | rdfs:label | Orienta Tagluma Tempo (eo)      |
| Eastern Daylight Time (wd:Q15080196) | rdfs:label | vzhodni poletni čas (sl)        |
| Eastern Daylight Time (wd:Q15080196) | rdfs:label | 東部夏時間 (ja)                      |

[Tool]
Got 1 row and 2 columns:
| timezone                             | label                      |
| ------------------------------------ | -------------------------- |
| Eastern Daylight Time (wd:Q15080196) | Eastern Daylight Time (en) |

[Tool] Got no rows and 2 columns

[Tool]
Got 1 row and 2 columns:
| timezone                             | label                      |
| ------------------------------------ | -------------------------- |
| Eastern Daylight Time (wd:Q15080196) | Eastern Daylight Time (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?formOfGovernment ?formOfGovernmentLabel WHERE {
  wd:Q145 wdt:P122 ?formOfGovernment .
  OPTIONAL {
    ?formOfGovernment rdfs:label ?formOfGovernmentLabel .
    FILTER ( lang( ?formOfGovernmentLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| formOfGovernment                    | formOfGovernmentLabel        |
| ----------------------------------- | ---------------------------- |
| constitutional monarchy (wd:Q41614) | constitutional monarchy (en) |

The form of government of the United Kingdom is a constitutional monarchy (wd:Q41614).

[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 break down the question:

1. The user is asking about the "form of government" of the "UK" (United Kingdom).
2. I need to identify the Wikidata entity for the United Kingdom and the property for "form of government."
3. Then, I will construct a SPARQL query to retrieve the form(s) of government for the UK.

First, I will search for the entity representing the United Kingdom in Wikidata.

[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 (the country) is wd:Q145.

Next, I need to find the property in Wikidata that represents "form of government." I will search for this property.

[Tool]
Top 10 property alternatives:
1. basic form of government, also known as form of government, government, type of government (wd:P122 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): subject's government
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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 wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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 wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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 wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): entity having executive power on given entity
6. voting system, also known as electoral system, voting system, type of election (wd:P8196 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): system used for this election or vote
7. Classification of the Functions of Government, also known as COFOG ID, COFOG number (wd:P9798 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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 wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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 wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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 wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): text through which an institution or object has been created or established

[Assistant]
The property "basic form of government" (wd:P122) is the most relevant for this question.

Now, I will construct a SPARQL query to retrieve the form(s) of government for the United Kingdom (wd:Q145) using the property wd:P122. I will also try to get the label for the form of government for better readability, but the main result will be the IRI.

Let's proceed to execute this query.

[Tool]
Got 1 row and 2 columns:
| formOfGovernment                    | formOfGovernmentLabel        |
| ----------------------------------- | ---------------------------- |
| constitutional monarchy (wd:Q41614) | constitutional monarchy (en) |

[Tool] Stopped generation process


Failed to generate SPARQL query

[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 break down the question:

1. The user wants to know what is spoken in the Czech Republic. This likely refers to the official or commonly spoken languages in the Czech Republic.
2. I need to identify the entity for "Czech Republic" and the property that links a country to its spoken or official languages.

First, I'll search for the entity "Czech Republic" in Wikidata.

[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 main entity for the Czech Republic as a country is wd:Q213.

Next, I need to find the property that links a country to its spoken or official languages. I'll search for properties related to "language" in Wikidata.

[Tool]
Top 10 property alternatives:
1. programmed in, also known as language, programming language, written in (wd:P277 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): the programming language(s) in which the software is developed
2. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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 wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
4. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): language designated as official by this item, language used
5. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): language widely used (spoken or written) in this place or at this event or organisation
6. language style, also known as manner, term register, obsolete, register, sense register (wd:P6191 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): to denote of the way a sense of a word is used, e.g., slang, vulgarism, babytalk, colloquialism, etc.
7. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): language or languages a person has learned from early childhood, languages spoken, written or signed
8. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): language in which the writer has written their work, languages spoken, written or signed
9. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): language status identifier by Ethnologue.com using EGIDS scale
10. variety of lexeme, form or sense, also known as dialect, used in dialect, variety of form (wd:P7481 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): dialect, graphic or phonetic variety that this lexeme, form or sense is used in

[Assistant]
The most relevant properties for linking a country to its spoken or official languages are:

- official language (wd:P37)
- language used (wd:P2936)

Since the question is about "what is spoken," the official language (wd:P37) is likely the most direct answer, but "language used" (wd:P2936) could provide additional context for other spoken languages.

I'll start by querying for the official language (wd:P37) of the Czech Republic (wd:Q213), and also include the label for human readability.

[Tool]
Got 1 row and 2 columns:
| language         | languageLabel |
| ---------------- | ------------- |
| Czech (wd:Q9056) | Czech (en)    |

[Assistant]
The official language spoken in the Czech Republic is Czech (wd:Q9056).

Here is the SPARQL query that finds this information:

SELECT ?language ?languageLabel WHERE { wd:Q213 wdt:P37 ?language . OPTIONAL { ?language rdfs:label ?languageLabel FILTER (lang(?languageLabel) = "en") } }

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


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?superbowl ?date WHERE {
  ?superbowl wdt:P1346 wd:Q276539 ; wdt:P31 wd:Q32096 ; wdt:P585 ?date .
}
ORDER BY ?date

The Baltimore Ravens won the Super Bowl in 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 break down the question:

1. We need to identify the entity for "Baltimore Ravens".
2. We need to find the property that links a sports team to a Super Bowl win.
3. We need to retrieve the year(s) in which the Baltimore Ravens won the Super Bowl.

First, I'll search for the entity "Baltimore Ravens" in Wikidata.

[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 main entity for the Baltimore Ravens is wd:Q276539.

Next, I need to find the property that links a sports team to a Super Bowl win. This could be something like "championships", "Super Bowl wins", or "NFL championships". I'll search for properties related to "Super Bowl".

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

[Assistant] The property "significant event" (wd:P793) is likely used to indicate notable achievements like winning the Super Bowl. To confirm, I'll check how "significant event" is used for the Baltimore Ravens entity.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no direct "significant event" properties listed for the Baltimore Ravens in the direct property (wdt:P793) form. However, sometimes such achievements are modeled as qualifiers on a broader property, such as "award received" or "championships".

Next, I'll search for properties related to "championship" to see if there is a more specific property for team championships or Super Bowl wins.

[Tool]
Top 10 property alternatives:
1. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): 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. points for, also known as championship points, competition points, league points, pf, points (wd:P1358 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): number of points in a league table or decathlon. (Use P1351 for goals/points in a match)
3. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): league or competition in which team or player has played, or in which an event occurs, participant in
4. sports discipline competed in, also known as sport discipline competed in, weight class competed in, sports event, sports disciplines competed in, sports discipline (wd:P2416 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): discipline an athlete competed in within a sport, field of work
5. competition won, also known as won event, won, winner of, victory (wd:P2522 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): competition or sports event won by the subject, participant in
6. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): award or recognition received by a person, organization or creative work
7. final event (wd:P3967 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): final event of a competition
8. sports league level, also known as league level, sport league level, level on sport league pyramid, level on league pyramid, level on pyramid (wd:P3983 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): the level of the sport league in the sport league system
9. sports competition competed at (wd:P5249 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): edition of sports competitions at which the club or team that pl...ple: 2012–13 FC Barcelona season → 2012–13 UEFA Champions League
10. trophy awarded, also known as cup awarded, diploma awarded, medal awarded (wd:P4622 as wdtn/pq/ps/psn/pr/prv/pqv/prn/psv/wdt/p/pqn): trophy awarded at the end of a selection process or of a competi...winners or finishers under the form of a cup, a medal, a diploma

[Assistant] The property "competition won" (wd:P2522) looks promising for finding which competitions (like the Super Bowl) the Baltimore Ravens have won. I'll check how this property is used for the Baltimore Ravens.

[Tool] Got no rows and 3 columns

[Assistant]
There are no direct "competition won" (wdt:P2522) statements for the Baltimore Ravens either. It's possible that the information is modeled differently, perhaps as a "winner" (wd:P1346) of a specific Super Bowl event.

Let's try searching for the "Super Bowl" entity and see how winners are modeled for specific Super Bowl events.

[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 Super Bowl is wd:Q32096, and each Super Bowl event (like Super Bowl 50, LII, etc.) has its own entity.

To find which Super Bowls the Baltimore Ravens won, I should look for Super Bowl event entities where the "winner" (wd:P1346) is the Baltimore Ravens (wd:Q276539). I'll search for Super Bowl events where the winner is the Baltimore Ravens.

[Tool]
Got 3 rows and 3 columns:
| subject                          | property           | object                        |
| -------------------------------- | ------------------ | ----------------------------- |
| Super Bowl XLVII (wd:Q126291)    | winner (wdt:P1346) | Baltimore Ravens (wd:Q276539) |
| Super Bowl XXXV (wd:Q625210)     | winner (wdt:P1346) | Baltimore Ravens (wd:Q276539) |
| Mile High Miracle (wd:Q17019320) | winner (wdt:P1346) | Baltimore Ravens (wd:Q276539) |

[Assistant]
The Baltimore Ravens are listed as winners for Super Bowl XLVII (wd:Q126291) and Super Bowl XXXV (wd:Q625210). "Mile High Miracle" is a famous playoff game, not a Super Bowl.

Now, I need to retrieve the years these Super Bowls took place. I'll check which property on these Super Bowl entities gives the year (likely "point in time" or "start time"). I'll start by listing properties for Super Bowl XLVII.

[Tool]
Got 126 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                    | object                                                                                |
| ----------------------------- | --------------------------- | ---------------------------------------------------------------------------------------------------------- |
| Super Bowl XLVII (wd:Q126291) | instance of (wdt:P31)       | Super Bowl (wd:Q32096)                                                                                |
| Super Bowl XLVII (wd:Q126291) | country (wdt:P17)           | United States (wd:Q30)                                                                                |
| Super Bowl XLVII (wd:Q126291) | Commons category (wdt:P373) | Super Bowl XLVII                                                                                |
| Super Bowl XLVII (wd:Q126291) | image (wdt:P18)             | <http://commons.wikimedia.org/wiki/Special:FilePath/Jacoby%20Jones%20Touchdown%20Super%20Bowl%20XLVII.jpg> |
| Super Bowl XLVII (wd:Q126291) | location (wdt:P276)         | Caesars Superdome (wd:Q756452)                                                                             |
| Super Bowl XLVII (wd:Q126291) | has part(s) (wdt:P527)      | Super Bowl XLVII halftime show (wd:Q7642202)                                                               |
| Super Bowl XLVII (wd:Q126291) | sport (wdt:P641)            | American football (wd:Q41323)                                                                              |
| Super Bowl XLVII (wd:Q126291) | official website (wdt:P856) | <http://www.nfl.com/superbowl/47>                                                                          |
| Super Bowl XLVII (wd:Q126291) | follows (wdt:P155)          | Super Bowl XLVI (wd:Q849079)                                                                               |
| Super Bowl XLVII (wd:Q126291) | followed by (wdt:P156)      | Super Bowl XLVIII (wd:Q1190093)                                                                            |
| ...                           | ...                         | ...                                                                                |

[Tool]
Got 1 row and 3 columns:
| subject                       | property                 | object                              |
| ----------------------------- | ------------------------ | ----------------------------------- |
| Super Bowl XLVII (wd:Q126291) | point in time (wdt:P585) | 2013-02-03T00:00:00Z (xsd:dateTime) |

[Tool]
Got 1 row and 3 columns:
| subject                      | property                 | object                              |
| ---------------------------- | ------------------------ | ----------------------------------- |
| Super Bowl XXXV (wd:Q625210) | point in time (wdt:P585) | 2001-01-28T00:00:00Z (xsd:dateTime) |

[Assistant]
Super Bowl XLVII took place in 2013, and Super Bowl XXXV took place in 2001. Therefore, the Baltimore Ravens won the Super Bowl in 2001 and 2013.

Now, I'll construct a SPARQL query that returns the IRIs of the Super Bowl events the Baltimore Ravens won, along with their years (using the "point in time" property).

[Tool] Stopped generation process