PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?river ?riverLabel WHERE {
  wd:Q125006 wdt:P177 ?river .
  OPTIONAL {
    ?river rdfs:label ?riverLabel FILTER ( LANG( ?riverLabel ) = "en" )
  }
}

Using entities:
Brooklyn Bridge (wd:Q125006), also known as East River Bridge, New York and Brooklyn Bridge

Using properties:
crosses (wd:P177 as wdt), also known as bridge over, over, spanning, spans, through, etc.

Answer: The Brooklyn Bridge crosses the East River (Wikidata item: wd:Q212862).

Which river does the Brooklyn Bridge cross?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Which river does the Brooklyn Bridge cross?

[Assistant] Step 1 — I'll search Wikidata for the "Brooklyn Bridge" entity to get its identifier. I'll call the entity search function now.

[Tool]
Top 10 entity alternatives:
1. Brooklyn Bridge (wd:Q125006), also known as East River Bridge, New York and Brooklyn Bridge: bridge in New York City, crossing the East River / is instance of cable-stayed bridge / is instance of multi-level bridge / is instance of tourist attraction / is instance of Suspension bridge / is instance of suspension bridge / is instance of railway bridge / is instance of steel bridge / is instance of road bridge
2. Brooklyn Bridge (wd:Q929432): 1981 documentary film by Ken Burns / is instance of film
3. Brooklyn Bridge (wd:Q3881953): American television program in the 1990s / is instance of television series / is instance of serial
4. Brooklyn Bridge (wd:Q28224593): bridge in New South Wales, Australia / is instance of road bridge
5. Brooklyn Bridge (wd:Q104850523): for transfering or transforming data from here to there
6. Brooklyn Bridge (wd:Q19133315): is instance of literary work / poem by Vladimir Mayakovsky
7. Brooklyn Bridge (wd:Q4974763): album by Johnny Maestro & The Brooklyn Bridge / album by Johnny Maestro & The Brooklyn Bridge / album by The Brooklyn Bridge / is instance of album
8. Brooklyn Bridge (wd:Q105768182), also known as IMO 9458999: is instance of ship / ship built in 2010
9. Brooklyn Bridge (wd:Q108700597): painting by Bela De Tirefort / is instance of painting
10. "Brooklyn Bridge" (wd:Q108701013): is instance of painting / painting by Simon Gaon

[Assistant] I'll look for properties of the Brooklyn Bridge entity related to crossing, river, or body of water. I'll search properties with the keyword "cross" and "river".

[Tool]
Top 10 property alternatives:
1. crosses (wd:P177 as wdt/p), also known as bridge over, over, spanning, spans, through, etc.: obstacle (body of water, road, railway...) which this bridge (ferry, ford) crosses over or this tunnel goes under / obstacle (body of water, road, ...) which this bridge crosses over or this tunnel goes under
2. made from material (wd:P186 as wdt/p, matched via ore), also known as be made in, built from, built out of, constructed from, constructed out of, etc.: material the subject or the object is made of or derived from (do not confuse with P10672 which is used for processes) / material the subject is made of or derived from / is subproperty of uses
3. location (wd:P276 as wdt/p, matched via from), also known as based in, city, from, held by, in, etc.: location of the object, structure or event. In the case of an ... use P706. Use P7153 for locations associated with the object / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706. / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706.
4. located in the administrative territorial entity (wd:P131 as wdt/p, matched via in), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.: the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following administrative entity / the item is located on the territory of the following administrative entity / is subproperty of location / is subproperty of part of
5. different from (wd:P1889 as wdt/p, matched via not), also known as confused with, differs from, disambiguated from, distinct from, distinguished from, etc.: item that is different from another item, with which it is often confused / item that is different from another item, with which it may be confused
6. coordinate location (wd:P625 as wdt/p, matched via position), also known as co-ordinate location, co-ordinates, coordinates, co-ords, coords, etc.: geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment / coordinates of the subject / coordinates of the subject
7. significant event (wd:P793 as wdt/p, matched via outcome), also known as big event, event, fate, important event, key event, etc.: significant or notable events associated with the subject / significant or notable events associated with the subject / significant or notable events associated with the subject
8. topic's main category (wd:P910 as wdt/p, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
9. FAST ID (wd:P2163 as wdt/wdtn/p, matched via fst), also known as Faceted Application of Subject Terminology ID, FAST subject heading, fst, worldcat.org/fast, P2163: authority control identifier in WorldCat's “FAST Linked Data” authority file / authority control identifier in WorldCat's “FAST Linked Data” authority file
10. country (wd:P17 as wdt/p), also known as host country, land, sovereign state, state, P17: sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / is subproperty of located in the administrative territorial entity

No other items found

[Assistant] I'll run a SPARQL query to get the object(s) of the "crosses" (wdt:P177) property for the Brooklyn Bridge (wd:Q125006), and also retrieve the English label(s) for those object(s). This will verify which river(s) the bridge crosses.

[Tool]
Got 1 row and 2 columns:
| river                   | riverLabel      |
| ----------------------- | --------------- |
| East River (wd:Q212862) | East River (en) |

[Assistant] Now I'll execute the final SPARQL query to retrieve the river that wd:Q125006 (Brooklyn Bridge) crosses, including the English label for readability. This verifies the result one more time before presenting the final answer.

[Tool]
Got 1 row and 2 columns:
| river                   | riverLabel      |
| ----------------------- | --------------- |
| East River (wd:Q212862) | East River (en) |

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?mount ?mountLabel ?elevation WHERE {
  wd:Q16466024 wdt:P2044 ?annElevation .
  ?mount wdt:P2044 ?elevation .
  ?mount wdt:P31 / wdt:P279 * wd:Q8502 .
  FILTER ( ?elevation > ?annElevation ) OPTIONAL {
    ?mount rdfs:label ?mountLabel FILTER ( LANG( ?mountLabel ) = "en" )
  }
}
ORDER BY ?elevation
LIMIT 1

Using entities:
Annapurna I (wd:Q16466024), also known as Annapurna, Annapurna I Main
mountain (wd:Q8502), also known as mount, mountains, mt., mtn.

Using properties:
elevation above sea level (wd:P2044 as wdt), also known as altitude, AMSL, EASL, elevation, elevation above mean sea level, etc.
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.

Answer: Granite Peak (wd:Q5595904) with elevation 8094 m is the next higher mountain after Annapurna I (elevation 8091 m).

Which mountain is the highest after the Annapurna?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Which mountain is the highest after the Annapurna?

[Assistant] Step 1: I'll search for the Wikidata item for "Annapurna" to find its elevation property and identifier. I'll run an entity search for "Annapurna".

[Tool]
Top 10 entity alternatives:
1. Annapurna (wd:Q159621), also known as Annapurna Himal, Annapurna (Himalayas), Annapurna Massif: mountain range in the Himalayas / is instance of mountain system / mountains in Nepal / mountains in Nepal
2. Annapurna I (wd:Q16466024, matched via Annapurna), also known as Annapurna, Annapurna I Main: mountain in the Himalayas / is instance of mountain
3. Annapoorna (wd:Q4767988, matched via Annapurna), also known as Annapurna, Umamaheswari: Indian Odia-language author / has occupation actor / is instance of human / Indian actress / Indian actress
4. Annapurna (wd:Q4767995): village development committee in Bhojpur District in the Kosi Zone of eastern Nepal / is instance of village development committee of Nepal
5. Annapurna (wd:Q4768000): 1960 film by V. Madhusudhan Rao / is instance of film
6. Annapurna (wd:Q4767994): is instance of literary work / novel by Maurice Herzog
7. Annapurna (wd:Q12301785): has occupation singer / is instance of human / Danish singer / Danish singer / Danish singer
8. Annapurna (wd:Q83601304), also known as Category:IMO 9014793, IMO 9014793: is instance of ship / ship built in 1992
9. Rosa 'Annapurna' (wd:Q83666076, matched via Annapurna), also known as Annapurna: is instance of rose cultivar / rose cultivar
10. Annapurna (wd:Q70575435): is instance of version, edition or translation / Kannada book by Niranjan

[Assistant] Step 1: I'll retrieve the elevation of Annapurna I (wd:Q16466024) from Wikidata to use it as a threshold in a subsequent query. I'll run a simple SPARQL query to get wdt:P2044 (elevation above sea level).

[Tool]
Got 1 row and 1 column:
| elevation          |
| ------------------ |
| 8091 (xsd:decimal) |

[Assistant] I'll query Wikidata for the mountain (instance of mountain) whose elevation is the smallest value strictly greater than Annapurna I's elevation (8091 m). This finds the "next higher" mountain after Annapurna I. I'll run a SPARQL query that gets Annapurna I's elevation, finds mountains with greater elevation, orders by elevation ascending, and limits to 1. Now I'll execute that query.

[Tool]
Got 1 row and 3 columns:
| mount                      | mountLabel        | elevation          |
| -------------------------- | ----------------- | ------------------ |
| Granite Peak (wd:Q5595904) | Granite Peak (en) | 8094 (xsd:decimal) |

[Assistant]
I'll now provide the final SPARQL query I used and the answer found. This query:
- Retrieves the elevation of Annapurna I (wd:Q16466024),
- Finds items that are instance/subclass of mountain (wd:Q8502) with elevation greater than Annapurna I,
- Orders them by elevation ascending and takes the first (the smallest elevation greater than Annapurna I),
- Returns the mountain IRI, optional English label, and elevation.

I'll pass this final query and the result as the answer.

[Tool] Stopping


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
SELECT ?capital ?capitalLabel ?population ?populationDate WHERE {
  wd:Q408 wdt:P36 ?capital .
  ?capital p:P1082 ?popStmt .
  ?popStmt ps:P1082 ?population .
  OPTIONAL {
    ?popStmt pq:P585 ?populationDate .
  }
  OPTIONAL {
    ?capital rdfs:label ?capitalLabel .
    FILTER ( LANG( ?capitalLabel ) = "en" )
  }
}
ORDER BY DESC ( ?populationDate )
LIMIT 1

Using entities:
Australia (wd:Q408), also known as AU, AUS, Aussieland, Commonwealth of Australia, Down Under, etc.

Using properties:
population (wd:P1082 as ps/p), also known as human population, inhabitants, P1082
capital (wd:P36 as wdt), also known as administrative capital, administrative center, administrative centre, administrative headquarters, administrative seat, etc.
point in time (wd:P585 as pq), also known as as of, at time, by date, date, during, etc.

Answer: The capital of Australia is Canberra (wd:Q3114). According to Wikidata, the most recent population statement returned is 452,670 (point in time: 2021-08-10).

How many people live in the capital of Australia?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] How many people live in the capital of Australia?

[Assistant] Step 1: I'll search for the Wikidata entity for "Australia" to verify its identifier before using it in queries. I'll call the entity search tool now.

[Tool]
Top 10 entity alternatives:
1. Australia (wd:Q408), also known as AU, AUS, Aussieland, Commonwealth of Australia, Down Under, etc.: is instance of sovereign state / is instance of federation / is instance of country / country in Oceania / country in Oceania / country in Oceania / country in Oceania
2. Australian continent (wd:Q3960, matched via Australia), also known as Australia, Australia (continent), Australinea, Meganesia, New Holland, etc.: continent in the Earth's Southern Hemisphere / continent in Earth's Southern Hemisphere / is instance of continent / continent
3. Australia (wd:Q275180): 2008 film by Baz Luhrmann / is instance of film
4. Australia (wd:Q205546): 1989 film by Jean-Jacques Andrien / is instance of film
5. Australia (wd:Q4823546): 1996 single by Manic Street Preachers / is instance of single
6. Australia (wd:Q16835533): is instance of Horse / is instance of horse / Racehorse
7. Australia (wd:Q781244): is instance of board game / board game
8. Australia (wd:Q4823541), also known as Australia (KA–5): yacht that raced in the Americas Cup / is instance of sailing yacht
9. Australia (wd:Q12887638): village and ''consejo popular'' in Cuba / is instance of human settlement
10. Australia (wd:Q25907685): albedo feature on the planet Mercury / is instance of albedo feature

[Assistant] I'll search for the property for "capital" to find the correct property identifier (likely P36).

[Tool]
Top 10 property alternatives:
1. capital of (wd:P1376 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via capital), also known as administrative seat of, capital, county seat for, county seat of, is capital of, etc.: country, state, department, canton or other administrative division of which the municipality is the governmental seat / country, state, department, canton or other administrative division of which the municipality is the governmental seat / country, state, department, canton or other administrative division of which the municipality is the governmental seat / is subproperty of located in the administrative territorial entity
2. capital (wd:P36 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as administrative capital, administrative center, administrative centre, administrative headquarters, administrative seat, etc.: location (city, municipality) of governmental seat of the country, or administrative territorial entity / seat of government of a country, province, state or other type of administrative territorial entity / city of governmental seat of the country, state or administrative subdivision
3. net worth (wd:P2218 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via wealth), also known as declared patrimony, estimated net worth, net wealth, net worth estimate, personal assets, etc.: totality of wealth possessed by a person
4. prize money (wd:P2121 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via money), also known as money, purse, value, P2121: amount in a specific currency / amount in a specific currency
5. currency (wd:P38 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as base currency, used money, P38: is subproperty of uses / currency used by item / currency used by item / currency used by item
6. field of work (wd:P101 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via trade), also known as academic area, academic discipline, academic subject, activity, activity domain, etc.: specialisation of a person or organisation; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / is subproperty of interested in
7. industry (wd:P452 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via sector), also known as branch, economic branch, field of action, field of exercise, sector, etc.: specific industry of company or organization / is subproperty of part of
8. total equity (wd:P2137 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via equity), also known as equity, shareholder equity, P2137: amount of equity value for an entity
9. capital cost (wd:P2130 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as budget, cost, unit cost, P2130: amount of money spent on building or producing an object
10. number of matches played/races/starts (wd:P1350 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via caps), also known as appearances, caps, games pitched, games played, gp, etc.: matches or games a player or a team played during an event. ... a player officially appeared in during the whole career. / matches or games a player or a team played during an event. ... a player officially appeared in during the whole career. / by a sports team

[Assistant] Plan: I'll query Wikidata for Australia's capital (property P36) to identify the capital city's item. Then I'll query that city's population (property P1082). First I'll run a simple query to get the capital entity of Australia (wd:Q408).

[Tool]
Got 1 row and 1 column:
| capital             |
| ------------------- |
| Canberra (wd:Q3114) |

[Assistant] Now I'll query Wikidata for Canberra's population values (property P1082), preferring the most recent population figure by ordering results by the population statement's "point in time" qualifier (P585) in descending order and taking the top result. I'll also return the capital IRI and English label.

[Tool]
Got 1 row and 4 columns:
| capital             | capitalLabel  | population           | populationDate                      |
| ------------------- | ------------- | -------------------- | ----------------------------------- |
| Canberra (wd:Q3114) | Canberra (en) | 452670 (xsd:decimal) | 2021-08-10T00:00:00Z (xsd:dateTime) |

[Assistant] I will now prepare the final SPARQL query that returns the capital city's IRI and the most recent population (with its point in time), ensuring labels are optional. Then I'll call the answer function with the query and the textual answer.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?city ?cityLabel WHERE {
  wd:Q9696 wdt:P20 ?place .
  {
    ?place wdt:P131 ?city .
  } UNION {
    ?place wdt:P276 ?city .
  }
  OPTIONAL {
    ?city rdfs:label ?cityLabel FILTER ( LANG( ?cityLabel ) = "en" )
  }
}

Using entities:
John F. Kennedy (wd:Q9696), also known as Jack Kennedy, JFK, J. F. Kennedy, JF Kennedy, John Fitzgerald "Jack" Kennedy, etc.

Using properties:
located in the administrative territorial entity (wd:P131 as wdt), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.
place of death (wd:P20 as wdt), also known as death location, death place, deathplace, died, died in, etc.
location (wd:P276 as wdt), also known as based in, city, from, held by, in, etc.

Answer: John F. Kennedy died in Dallas (wd:Q16557).

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] In which city did John F. Kennedy die?

[Assistant] Step 1 — I will search Wikidata for the entity corresponding to "John F. Kennedy" to get the exact item identifier to use in the SPARQL query. I'll call the entity search tool now.

[Tool]
Top 10 entity alternatives:
1. John F. Kennedy (wd:Q9696), also known as Jack Kennedy, JFK, J. F. Kennedy, JF Kennedy, John Fitzgerald "Jack" Kennedy, etc.: President of the United States from 1961 to 1963 / 35th President of the United States of America / 35th President of the United States of America / 35th President of the United States of America / has occupation anti-communist / has occupation naval officer / has occupation statesperson / has occupation politician / has occupation journalist / has occupation writer / is instance of human
2. John F. Kennedy (wd:Q240666), also known as CVN-79, PCU John F. Kennedy, USS John F. Kennedy: 2019 Gerald R. Ford-class aircraft carrier / is instance of pre-commissioning unit / is instance of supercarrier
3. MV John F. Kennedy (wd:Q29378914, matched via John F. Kennedy), also known as IMO 8643195, John F. Kennedy: Staten Island Ferry vessel. / is instance of ferry
4. John F. Kennedy (wd:Q130973914): sculpture by Evangelos Frudakis / is instance of visual artwork / is instance of sculpture
5. John F Kennedy (wd:Q22006430): is instance of Horse / is instance of horse / horse
6. John F. Kennedy (wd:Q28836957), also known as John Flanders Kennedy: American politician and member of the Georgia State Senate / has occupation politician / is instance of human
7. John F Kennedy (wd:Q42586306): cultural heritage monument in Aruba / is instance of cultural property / is instance of building
8. Rosa 'John F. Kennedy' (wd:Q83668459, matched via John F. Kennedy), also known as John F. Kennedy: is instance of rose cultivar / rose cultivar
9. John F. Kennedy (wd:Q56398105): is instance of version, edition or translation / book / book
10. John F. Kennedy (wd:Q60388208): is instance of written work / book by Robert M. Morris / book by Robert M. Morris

[Assistant] Step 2 — I'll search for the Wikidata property corresponding to "place of death" to use in the query.

[Tool]
Top 10 property alternatives:
1. place of death (wd:P20 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as death location, death place, deathplace, died, died in, etc.: most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / is subproperty of location
2. place of burial (wd:P119 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as ashes scattered at, burial location, burial place, buried at, buried in, etc.: location of grave, resting place, place of ash-scattering, ... places: e.g., re-burials, parts of body buried separately. / location of grave, resting place, place of ash-scattering, ... places: e.g., re-burials, parts of body buried separately. / location of grave, resting place, place of ash-scattering, ... e.g. re-burials, cenotaphs, parts of body buried separately / location of grave, resting place, place of ash-scattering, etc, (e.g. city or cemetery) for a person / is subproperty of location
3. category for people who died here (wd:P1465 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via category for place of death), also known as category for place of death, category of people who died here, P1465: category item for people who died in this location / is subproperty of related category
4. place of disappearance (wd:P10642 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as P10642: place where people or things have disappeared; link with P746 (date of disappearance)
5. date of death (wd:P570 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as date of the end, dead, death, death date, deathdate, etc.: is subproperty of dissolved, abolished or demolished date / is subproperty of dissolved, abolished or demolished / date on which the subject died / date on which the subject died / date on which the subject died / is subproperty of end time
6. number of deaths (wd:P1120 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via deaths), also known as dead, death count, death number, deaths, death toll, etc.: total (cumulative) number of people who died since start as a direct result of an event or cause / number of ALL people who died as a direct result of an event or cause / number of ALL people who died as a direct result of an event or cause
7. manner of death (wd:P1196 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via type of death), also known as circumstance of death, death manner, death type, nature of death, type of death, etc.: general circumstances of a person's death; e.g. natural ... mechanism, e.g. heart attack, trauma, pneumonia etc. / general circumstances of a person's death; e.g. natural ... mechanism, e.g. heart attack, trauma, pneumonia etc. / general circumstances of a person's death; e.g. natural ... mechanism, e.g. heart attack, trauma, pneumonia...
8. place of birth (wd:P19 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as birth city, birth location, birth place, birthplace, born, etc.: most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known birth location of a person, animal or fictional character / is subproperty of location
9. date of burial or cremation (wd:P4602 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as burial date, cremation date, date of cremation, funeral date, P4602: date on which the person was buried or cremated soon after death / is subproperty of point in time
10. applies to jurisdiction (wd:P1001 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via of place), also known as applicable area, applicable country, applicable geographic place, applicable jurisdiction, applicable location, etc.: the item (institution, law, public office, public ... jurisdiction: a country, state, municipality, ...) / the item (an institution, law, public office ...) or ... jurisdiction: a country, state, municipality, ...) / is subproperty of significant place / is subproperty of characteristic of / is subproperty of operating area

[Assistant] Step 3 — I will construct a SPARQL SELECT query that finds the place of death (wdt:P20) for the John F. Kennedy item (wd:Q9696). I'll request the place item IRI and its rdfs:label (optional) in English. Then I'll execute the query.

[Tool]
Got 1 row and 2 columns:
| place                                    | placeLabel                      |
| ---------------------------------------- | ------------------------------- |
| Parkland Memorial Hospital (wd:Q3896131) | Parkland Memorial Hospital (en) |

[Assistant] Next I'll find the city (administrative territorial entity) that contains Parkland Memorial Hospital (wd:Q3896131). I'll query for P131 (located in the administrative territorial entity) and also try P276 (location) in case P131 isn't present. I'll run a SPARQL query to get the city IRI and English label.

[Tool]
Got 1 row and 2 columns:
| city               | cityLabel   |
| ------------------ | ----------- |
| Dallas (wd:Q16557) | Dallas (en) |

[Assistant]
I'll run a final SPARQL query that:
- takes John F. Kennedy (wd:Q9696),
- follows place of death (wdt:P20) to the place item,
- then gets the administrative territorial entity (wdt:P131) of that place (with wdt:P276 as a fallback),
- and returns the city IRI and its English label.

Now I'll execute that final query and report the city.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?currency ?currencyLabel WHERE {
  wd:Q213 wdt:P38 ?currency .
  OPTIONAL {
    ?currency rdfs:label ?currencyLabel .
    FILTER ( LANG( ?currencyLabel ) = "en" )
  }
}

Using entities:
Czech Republic (wd:Q213), also known as CZ, CZE, Czechia, CZR

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

Answer: The currency of the Czech Republic (wd:Q213) is the Czech koruna (wd:Q131016).

What is the currency of the Czech Republic?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What is the currency of the Czech Republic?

[Assistant] Step 1 — find the Wikidata item for "Czech Republic". I'll search for the entity by name to verify its identifier instead of assuming it. I'll call the entity search function with query "Czech Republic".

[Tool]
Top 10 entity alternatives:
1. Czech Republic (wd:Q213), also known as CZ, CZE, Czechia, CZR: is instance of landlocked country / is instance of sovereign state / is instance of successor state / republic in Central Europe / country in Central Europe / is instance of Republic / is instance of republic / is instance of country / country in Europe
2. Czech Republic (wd:Q3496079): member state of the Czech and Slovak Federal Republic (1990–1992) / is instance of constituent republic within Czechoslovakia
3. Czech Republic (wd:Q5201764): is instance of constituency of the European Parliament / constituency of the European Parliament
4. Czech Republic (wd:Q103900680): is instance of encyclopaedic article / is instance of encyclopedia article / encyclopedia article
5. Czech Republic (wd:Q25339548): is instance of team / iGEM 2015 team
6. CZECH REPUBLIC (wd:Q60164570): is instance of scholarly article / is instance of academic article
7. Czech Republic (wd:Q59760445): scholarly article by LUKAS LINEK & ZDENKA MANSFELDOVA published December 2004 in European Journal of Political Research / is instance of scholarly article / is instance of academic article
8. Czech Republic (wd:Q57542866): is instance of scholarly article / is instance of academic article / scholarly article
9. Czech Republic (wd:Q59212257): scholarly article by Aleš Kudrnáč et al published December ... Journal of Political Research Political Data Yearbook / is instance of scholarly article / is instance of academic article
10. Czech Republic (wd:Q59212246): scholarly article by IVAN PETÚŠEK & ALEŠ KUDRNÁČ published 5 ... Journal of Political Research Political Data Yearbook / is instance of scholarly article / is instance of academic article

[Assistant] Step 2 — find the property for "currency" on Wikidata. I'll search for properties matching "currency" to confirm the correct property identifier.

[Tool]
Top 10 property alternatives:
1. currency (wd:P38 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as base currency, used money, P38: is subproperty of uses / currency used by item / currency used by item / currency used by item
2. price (wd:P2284 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via exchange rate), also known as cost, exchange rate, list price, MSRP, published price, etc.: published price listed or paid for a product (use with unit of currency)
3. prize money (wd:P2121 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via money), also known as money, purse, value, P2121: amount in a specific currency / amount in a specific currency
4. ISO 4217 code (wd:P498 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via currency code), also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code, P498: identifier for a currency per ISO 4217
5. capital of (wd:P1376 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via capital), also known as administrative seat of, capital, county seat for, county seat of, is capital of, etc.: country, state, department, canton or other administrative division of which the municipality is the governmental seat / country, state, department, canton or other administrative division of which the municipality is the governmental seat / country, state, department, canton or other administrative division of which the municipality is the governmental seat / is subproperty of located in the administrative territorial entity
6. capital (wd:P36 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as administrative capital, administrative center, administrative centre, administrative headquarters, administrative seat, etc.: location (city, municipality) of governmental seat of the country, or administrative territorial entity / seat of government of a country, province, state or other type of administrative territorial entity / city of governmental seat of the country, state or administrative subdivision
7. currency symbol description (wd:P489 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as P489: item with description of currency symbol / is subproperty of notation
8. face value (wd:P3934 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via coin value), also known as coin value, numeric value of coin, value of coin, P3934: value printed on a coin, stamp or banknote by the issuing authority
9. quantity (wd:P1114 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via amount), also known as amount, copies, count, instances, multiplicity, etc.: number of instances of this subject in the universe of the ... number of instances in Wikidata may be lower or higher) / number of instances of this subject
10. field of work (wd:P101 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via trade), also known as academic area, academic discipline, academic subject, activity, activity domain, etc.: specialisation of a person or organisation; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / is subproperty of interested in

[Assistant] I will now verify the currency property usage on the Czech Republic item (wd:Q213). I'll list triples for subject wd:Q213 and property wdt:P38 to see if it's present.

[Tool]
Got 1 row and 3 columns:
| subject                  | property           | object                    |
| ------------------------ | ------------------ | ------------------------- |
| Czech Republic (wd:Q213) | currency (wdt:P38) | Czech koruna (wd:Q131016) |

[Assistant] Now I'll run a final SPARQL query to retrieve the currency (its IRI) used by the Czech Republic (wd:Q213), and optionally its English label. I'll execute the query next.

[Tool]
Got 1 row and 2 columns:
| currency                  | currencyLabel     |
| ------------------------- | ----------------- |
| Czech koruna (wd:Q131016) | Czech koruna (en) |

[Assistant] I will now provide the final answer including the SPARQL query I executed and the result.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?episode ?episodeLabel ?pubDate WHERE {
  wd:Q5274359 wdt:P527 ?episode .
  OPTIONAL {
    ?episode wdt:P577 ?pubDate .
  }
  OPTIONAL {
    ?episode rdfs:label ?episodeLabel FILTER ( LANG( ?episodeLabel ) = "en" )
  }
}
ORDER BY ?pubDate

Using entities:
The Sopranos, season 1 (wd:Q5274359)

Using properties:
has part(s) (wd:P527 as wdt), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.
publication date (wd:P577 as wdt), also known as air date, airdate, be published during, be published in, broadcast date, etc.

Answer:
The query returns 13 episodes for season 1 of The Sopranos, in broadcast order:
1. The Sopranos (wd:Q1434187) — 1999-01-10
2. 46 Long (wd:Q3499084) — 1999-01-17
3. Denial, Anger, Acceptance (wd:Q3442861) — 1999-01-24
4. Meadowlands (wd:Q1750968) — 1999-01-31
5. College (wd:Q2422019) — 1999-02-07
6. The Legend of Tennessee Moltisanti (wd:Q3499074) — 1999-02-14
7. Down Neck (wd:Q3499369) — 1999-02-21
8. The Knight in White Satin Armor (wd:Q3435599) — 1999-02-28
9. Boca (wd:Q3435595) — 1999-03-07
10. A Hit Is a Hit (wd:Q3435602) — 1999-03-14
11. Nobody Knows Anything (wd:Q3442850) — 1999-03-21
12. Isabella (wd:Q3442841) — 1999-03-28
13. I Dream of Jeannie Cusamano (wd:Q3435590) — 1999-04-04

The SPARQL query above returns the episode IRIs, their English labels, and original publication (air) dates.

List all episodes of the first season of the HBO television series The Sopranos.

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] List all episodes of the first season of the HBO television series The Sopranos.

[Assistant] I will first search for the Wikidata item for the TV series "The Sopranos" and also directly search for the item representing its first season. Then I'll inspect the season item to find how episodes are linked (which property is used), and finally build a SPARQL query to list all episodes that belong to season 1. I'll start by searching for the series and the season items.

[Tool]
Top 10 entity alternatives:
1. The Sopranos (wd:Q23628): American crime drama television series (1999–2007) / is instance of television series / is instance of serial
2. The Sopranos (wd:Q1434187): is instance of television series episode / episode of The Sopranos (S1 E1)
3. The Sopranos (wd:Q7765311): is instance of literary work / 1998 novel by Alan Warner
4. The Sopranos (wd:Q7765312): pinball machine based on the television series The Sopranos / is instance of pinball machine game
5. The Sopranos Diaries (wd:Q110055728): is instance of Saturday Night Live sketch / sketch from Saturday Night Live
6. The Sopranos soundtrack releases (wd:Q206205), also known as Music on The Sopranos: is instance of Wikipedia article covering multiple soundtrack releases / Wikipedia article covering multiple soundtrack releases
7. The Sopranos, season 1 (wd:Q5274359): is instance of television series season / season of television series / is instance of series
8. The Sopranos, season 6 (wd:Q3727044), also known as sixth and final season: is instance of television series season / season of television series / is instance of series
9. The Sopranos, season 5 (wd:Q3727041): is instance of television series season / season of television series / is instance of series
10. The Sopranos, season 4 (wd:Q3727040): is instance of television series season / season of television series / is instance of series

[Assistant] I'll list the triples where The Sopranos season 1 (wd:Q5274359) is the subject to find which property links it to its episodes.

[Tool]
Got 107 rows and 3 columns, showing the first 10 rows below:
| subject                              | property                                        | object                                 |
| ------------------------------------ | ----------------------------------------------- | -------------------------------------- |
| The Sopranos, season 1 (wd:Q5274359) | instance of (wdt:P31)                           | television series season (wd:Q3464665) |
| The Sopranos, season 1 (wd:Q5274359) | Freebase ID (wdt:P646)                          | /m/059m97q                             |
| The Sopranos, season 1 (wd:Q5274359) | has part(s) (wdt:P527)                          | College (wd:Q2422019)                  |
| The Sopranos, season 1 (wd:Q5274359) | country of origin (wdt:P495)                    | United States (wd:Q30)                 |
| The Sopranos, season 1 (wd:Q5274359) | official website (wdt:P856)                     | <https://www.hbo.com/the-sopranos>     |
| The Sopranos, season 1 (wd:Q5274359) | part of the series (wdt:P179)                   | The Sopranos (wd:Q23628)               |
| The Sopranos, season 1 (wd:Q5274359) | start time (wdt:P580)                           | 1999-01-10T00:00:00Z (xsd:dateTime)    |
| The Sopranos, season 1 (wd:Q5274359) | end time (wdt:P582)                             | 1999-04-04T00:00:00Z (xsd:dateTime)    |
| The Sopranos, season 1 (wd:Q5274359) | original language of film or TV show (wdt:P364) | English (wd:Q1860)                     |
| The Sopranos, season 1 (wd:Q5274359) | Trakt.tv ID (wdt:P8013)                         | shows/the-sopranos/seasons/1           |
| ...                                  | ...                                             | ...                                    |

[Assistant] I'll inspect one episode item (College, wd:Q2422019) to see which properties give its episode number or series/season ordinal, so I can order the results correctly.

[Tool]
Got 112 rows and 3 columns, showing the first 10 rows below:
| subject               | property                                        | object                                   |
| --------------------- | ----------------------------------------------- | ---------------------------------------- |
| College (wd:Q2422019) | instance of (wdt:P31)                           | television series episode (wd:Q21191270) |
| College (wd:Q2422019) | title (wdt:P1476)                               | College (en)                             |
| College (wd:Q2422019) | publication date (wdt:P577)                     | 1999-02-07T00:00:00Z (xsd:dateTime)      |
| College (wd:Q2422019) | Freebase ID (wdt:P646)                          | /m/0cdk62                                |
| College (wd:Q2422019) | country of origin (wdt:P495)                    | United States (wd:Q30)                   |
| College (wd:Q2422019) | follows (wdt:P155)                              | Meadowlands (wd:Q1750968)                |
| College (wd:Q2422019) | followed by (wdt:P156)                          | Pax Soprana (wd:Q3442891)                |
| College (wd:Q2422019) | IMDb ID (wdt:P345)                              | tt0705236                                |
| College (wd:Q2422019) | part of the series (wdt:P179)                   | The Sopranos (wd:Q23628)                 |
| College (wd:Q2422019) | original language of film or TV show (wdt:P364) | English (wd:Q1860)                       |
| ...                   | ...                                             | ...                                      |

[Assistant] The season item uses wdt:P527 (has part(s)) to list episodes. I will build a query that selects all items ?episode that are linked from season 1 via wdt:P527. I will also get their labels and optionally their episode number within season if available (property P1545? or "season ordinal" property P4904?). I should search for properties related to episode number. I'll search for properties used on the episode item "College" that may indicate episode number or season number.

[Tool]
Top 10 property alternatives:
1. part of the series (wd:P179 as wdt/p, matched via episode of), also known as collection, episode of, in series, issue of, listed in, etc.: series which contains the subject / series which contains the subject / series which contains the subject / is subproperty of part of
2. TheTVDB episode ID (wd:P7043 as wdt/p, matched via TVDB.com episode ID), also known as TheTVDB.com episode ID, TVDB.com episode ID, P7043: identifier for an episode of a television series in TheTVDB
3. TMDB episode ID (wd:P12559 as wdt/p), also known as The Movie Database episode ID, P12559: identifier for a television series episode at The Movie Database
4. season (wd:P4908 as wdt/p, matched via television season), also known as series of television program, television season, television series, TV season, TV series, etc.: season of a series (televison, web, podcast) / Series of a television show / is subproperty of part of
5. duration (wd:P2047 as wdt/p, matched via period), also known as cook time, era, interval, length, length of time, etc.: length of time of an event or process / length of time of an event or process / length of time of an event or process
6. followed by (wd:P156 as wdt/p, matched via sequel is), also known as comes before, continued as, next, next element, next is, etc.: immediately following item in a series of which the subject ... replaced, e.g. political offices, use "replaced by" (P1366)] / immediately following item in a series of which the subject ... replaced, e.g. political offices, use "replaced by" (P1366)] / immediately following item in a series of which the subject ... replaced, e.g. political offices, use "replaced by" (P1366)]
7. follows (wd:P155 as wdt/p, matched via previous is), also known as before was, comes after, is after, preceded by, predecessor, etc.: immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)] / immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)] / immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)] / immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)]
8. publication date (wd:P577 as wdt/p, matched via air date), also known as air date, airdate, be published during, be published in, broadcast date, etc.: date or point in time when a work was first published or released / date or point in time a work is first published or released / date or point in time a work is first published or released / is subproperty of point in time
9. title (wd:P1476 as wdt/p), also known as article title, full title, headline, known as, name, etc.: published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work / published title of a work, such as a newspaper article, a literary work, a website, or a performance work / published title of a work, such as a newspaper article, a literary work, a website, or a performance work / is subproperty of name
10. instance of (wd:P31 as wdt/p, matched via is an), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant] The episode items might not have a consistent "episode number" property. However, the season has "has part(s)" linking episodes, and episode items have "follows" and "followed by" which provide order, and publication date. A straightforward reliable approach is to get all episodes via wdt:P527 from season Q5274359 and order them by publication date (wdt:P577) or by episode position if present (property P1545 is series ordinal (series ordinal), often used to indicate "no." within a series). I'll check if episodes have property P1545.

[Tool]
Top 10 property alternatives:
1. series ordinal (wd:P1545 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via P1545), also known as index, num., number, ordinal, ordinal number, etc.: position of an item in its parent series (most frequently a ... "ranking" defined as a property for evaluating a quality). / position of an item in its parent series (most frequently a ... "ranking" defined as a property for evaluating a quality) / position of an item in its parent series, generally to be used as a qualifier. Different from "rank"
2. logo image (wd:P154 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via P154), also known as insignia, logo, logomark, mark, marque, etc.: graphic mark or emblem commonly used by commercial enterprises, organisations and products / graphic mark or emblem commonly used by commercial enterprises, organisations and products / graphic mark or emblem commonly used by commercial enterprises, organizations and products / graphic mark or emblem commonly used by commercial enterprises, organizations and products / is subproperty of icon
3. follows (wd:P155 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via P155), also known as before was, comes after, is after, preceded by, predecessor, etc.: immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)] / immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)] / immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)] / immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)]
4. male population (wd:P1540 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via P1540), also known as male inhabitants, number of males, P1540: number of male people inhabiting the place; number of male people of subject / is subproperty of population
5. UBERON ID (wd:P1554 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via P1554), also known as P1554: identifier from UBERON ontology (without prefix)
6. RISS catalog (wd:P1575 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via P1575), also known as P1575: union catalog of South Korea, maintained by KERIS
7. contains the administrative territorial entity (wd:P150 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via P150), also known as contains, contains administrative territorial entity, divided into, divides into, has administrative divisions, etc.: (list of) direct subdivisions of an administrative territorial entity / (list of) direct subdivisions of an administrative division / (list of) direct subdivisions of an administrative division / is subproperty of has part(s) / is subproperty of has part
8. monogram (wd:P1543 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via P1543), also known as P1543: image of the monogram identifying the person or institution ... authenticity or certification, often in a dated stamp or seal / is subproperty of icon
9. Orphanet ID (wd:P1550 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via P1550), also known as ORPHA, P1550: identifier in the Orpha.net database (without ORPHA prefix) / identifier in the Orpha.net database (without ORPHA prefix)
10. CQ Ranking male cyclist ID (wd:P1541 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via P1541), also known as CQR male cyclist ID, Cycling Quotient male cyclist ID, P1541: identifier for a male cyclist at cqranking.com

[Assistant] I'll test whether any episodes of season 1 have P1545 set by querying for episodes of season 1 that have P1545.

[Tool]
Got 13 rows and 3 columns, showing the first 5 and last 5 rows below:
| episode                                          | episodeLabel                            | seriesOrdinal |
| ------------------------------------------------ | --------------------------------------- | ------------- |
| The Sopranos (wd:Q1434187)                       | The Sopranos (en)                       |               |
| Meadowlands (wd:Q1750968)                        | Meadowlands (en)                        |               |
| College (wd:Q2422019)                            | College (en)                            |               |
| I Dream of Jeannie Cusamano (wd:Q3435590)        | I Dream of Jeannie Cusamano (en)        |               |
| Boca (wd:Q3435595)                               | Boca (en)                               |               |
| ...                                              | ...                                     | ...           |
| Nobody Knows Anything (wd:Q3442850)              | Nobody Knows Anything (en)              |               |
| Denial, Anger, Acceptance (wd:Q3442861)          | Denial, Anger, Acceptance (en)          |               |
| Pax Soprana (wd:Q3442891)                        | Pax Soprana (en)                        |               |
| The Legend of Tennessee Moltisanti (wd:Q3499074) | The Legend of Tennessee Moltisanti (en) |               |
| 46 Long (wd:Q3499084)                            | 46 Long (en)                            |               |

[Assistant] I'll run a SPARQL query that retrieves all items that are "has part(s)" (wdt:P527) of The Sopranos season 1 (wd:Q5274359), include their English labels and original air dates, and order them by air date. This will give the season's episodes in broadcast order. I'll execute the query now.

[Tool]
Got 13 rows and 3 columns, showing the first 5 and last 5 rows below:
| episode                                   | episodeLabel                     | pubDate                             |
| ----------------------------------------- | -------------------------------- | ----------------------------------- |
| The Sopranos (wd:Q1434187)                | The Sopranos (en)                | 1999-01-10T00:00:00Z (xsd:dateTime) |
| 46 Long (wd:Q3499084)                     | 46 Long (en)                     | 1999-01-17T00:00:00Z (xsd:dateTime) |
| Denial, Anger, Acceptance (wd:Q3442861)   | Denial, Anger, Acceptance (en)   | 1999-01-24T00:00:00Z (xsd:dateTime) |
| Meadowlands (wd:Q1750968)                 | Meadowlands (en)                 | 1999-01-31T00:00:00Z (xsd:dateTime) |
| College (wd:Q2422019)                     | College (en)                     | 1999-02-07T00:00:00Z (xsd:dateTime) |
| ...                                       | ...                              | ...                                 |
| Boca (wd:Q3435595)                        | Boca (en)                        | 1999-03-07T00:00:00Z (xsd:dateTime) |
| A Hit Is a Hit (wd:Q3435602)              | A Hit Is a Hit (en)              | 1999-03-14T00:00:00Z (xsd:dateTime) |
| Nobody Knows Anything (wd:Q3442850)       | Nobody Knows Anything (en)       | 1999-03-21T00:00:00Z (xsd:dateTime) |
| Isabella (wd:Q3442841)                    | Isabella (en)                    | 1999-03-28T00:00:00Z (xsd:dateTime) |
| I Dream of Jeannie Cusamano (wd:Q3435590) | I Dream of Jeannie Cusamano (en) | 1999-04-04T00:00:00Z (xsd:dateTime) |

[Assistant] The query returned 13 episodes, which matches the expected count for The Sopranos season 1 (I recall it has 13 episodes). I will now finalize the SPARQL query and provide the list of episodes. Per the rules, I must include the final query and the answer derived from its results.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?country ( COUNT( DISTINCT ?cave ) AS ?caveCount ) ?countryLabel WHERE {
  ?cave wdt:P31 wd:Q35509 .
  ?cave wdt:P17 ?country .
  OPTIONAL {
    ?country rdfs:label ?countryLabel .
    FILTER ( LANG( ?countryLabel ) = "en" )
  }
}
GROUP BY ?country ?countryLabel
HAVING ( COUNT( DISTINCT ?cave ) > 10 )
ORDER BY DESC ( ?caveCount )

Using entities:
cave (wd:Q35509), also known as cavern

Using properties:
country (wd:P17 as wdt), also known as host country, land, sovereign state, state, P17
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.

Got 82 rows and 3 columns, showing the first 5 and last 5 rows below:
| country                    | caveCount      | countryLabel          |
| -------------------------- | -------------- | --------------------- |
| Bulgaria (wd:Q219)         | 5590 (xsd:int) | Bulgaria (en)         |
| Spain (wd:Q29)             | 1782 (xsd:int) | Spain (en)            |
| Poland (wd:Q36)            | 924 (xsd:int)  | Poland (en)           |
| Germany (wd:Q183)          | 773 (xsd:int)  | Germany (en)          |
| Hungary (wd:Q28)           | 722 (xsd:int)  | Hungary (en)          |
| ...                        | ...            | ...                   |
| Venezuela (wd:Q717)        | 12 (xsd:int)   | Venezuela (en)        |
| Papua New Guinea (wd:Q691) | 12 (xsd:int)   | Papua New Guinea (en) |
| Chile (wd:Q298)            | 12 (xsd:int)   | Chile (en)            |
| Andorra (wd:Q228)          | 12 (xsd:int)   | Andorra (en)          |
| Cuba (wd:Q241)             | 11 (xsd:int)   | Cuba (en)             |

Answer: I executed a query that counts items that are instances of "cave" (wd:Q35509) per country (wdt:P17) and returns countries with more than ten caves. The query returns 82 countries. The top results include Bulgaria (5590 caves), Spain (1782), Poland (924), Germany (773), Hungary (722), etc. The full list of countries is provided by the SPARQL query above (it returns country IRIs, counts, and English labels when available).

Which countries have more than ten caves?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Which countries have more than ten caves?

[Assistant] Step 1: I'll search for the item representing "cave" in Wikidata to use it as a class in the query. I'll search for entities matching "cave".

[Tool]
Top 10 entity alternatives:
1. cave (wd:Q35509), also known as cavern: natural void under the Earth's surface / is subclass of subterranea / is subclass of Subterranea / is subclass of landform / is subclass of Landform / is subclass of cavity
2. Carlsbad Caverns National Park (wd:Q273195, matched via CAVE), also known as CAVE: United States National Park in the Guadalupe Mountains in southeastern New Mexico / is instance of National Park of the United States / is instance of national park / is instance of show cave
3. Cave (wd:Q177726): is instance of commune of Italy / comune in Italy / Italian comune / Italian comune
4. The Cave (wd:Q1027834, matched via Cave), also known as Cave: 2005 film directed by Bruce Hunt / is instance of film
5. Cave (wd:Q736010): is instance of single / is instance of song / single by Muse
6. Cave (wd:Q957976), also known as Cave, MO: is instance of village in the United States / village in Missouri
7. CAVE (wd:Q2495040), also known as Cave Co., Ltd., Cave Interactive Co., Ltd.: is instance of video game developer company / is instance of video game developer / video game company
8. Cave (wd:Q18436524): is instance of neighbourhood / human settlement in Italy / is instance of frazione
9. Cave (wd:Q18426613): is instance of neighbourhood / frazione of Scoppito, Italy / is instance of frazione
10. Cave (wd:Q18495088): human settlement in the Italian municipality of Cugliate-Fabiasco / is instance of human settlement

[Assistant] I'll search for properties commonly used with the item "cave" (wd:Q35509), such as "country", "located in", or "location".

[Tool]
Top 10 property alternatives:
1. described by source (wd:P1343 as wdt/p, matched via found in), also known as defined in, described by biography, described by encyclopedia, described by obituary, described by reference work, etc.: dictionary, encyclopaedia, etc. where this item is described / work where this item is described / is subproperty of attested in
2. topic's main category (wd:P910 as wdt/p, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
3. studied by (wd:P2579 as wdt/p, matched via domain), also known as domain, in branch of science, is studied by, is studied in, researched by, etc.: subject is studied by this science or domain / subject is studied by this science or domain / is subproperty of field of work
4. different from (wd:P1889 as wdt/p, matched via not), also known as confused with, differs from, disambiguated from, distinct from, distinguished from, etc.: item that is different from another item, with which it is often confused / item that is different from another item, with which it may be confused
5. NDL Authority ID (wd:P349 as wdt/wdtn/p, matched via ndl), also known as National Diet Library Auth ID, National Diet Library ID, National Diet Library of Japan authority control ID, National Diet Library of Japan ID, ndl, etc.: identifier for authority control per the National Diet Library of Japan
6. image (wd:P18 as wdt/p, matched via still), also known as camera picture, Commons image, drawing, File:, graph, etc.: image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image)
7. said to be the same as (wd:P460 as wdt/p, matched via same), also known as conspecific with, could be, could be equal to, could be identical to, could be the same as, etc.: this item is said to be the same as that item, though this may be uncertain or disputed
8. subclass of (wd:P279 as wdt/p, matched via type of), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.: this item is a subclass (subset) of that item; ALL instances ... of volcanic landform); Everest is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain / this item is a subclass (subset) of that item; all instances ... instance of volcanic landform); K2 is an instance of mountain
9. Freebase ID (wd:P646 as wdt/p, matched via MID), also known as FID, Freebase, Freebase identifier, MID, P646: identifier for a page in the Freebase database. Format: ... with "/g/", use Google Knowledge Graph identifier (P2671) / identifier for a page in the Freebase database. Format: ... with "/g/", use Google Knowledge Graph identifier (P2671) / identifier for a page in the Freebase database. Format: ... starting with "/g/", use Google Knowledge Graph ID (P2671)
10. New Georgia Encyclopedia ID (wd:P4903 as wdt/p, matched via Georgia Encyclopedia), also known as Georgia Encyclopedia, NGE ID, P4903: identifier of a topic in the online New Georgia Encyclopedia

No other items found

[Assistant] I'll query Wikidata for the most commonly used direct properties (wdt:) on items that are instances of cave (wd:Q35509). This will tell me which property indicates country or location (e.g., wdt:P17 or wdt:P131). I'll run a query to count properties used with caves and show the top ones.

[Tool]
Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| prop                                                        | count           |
| ----------------------------------------------------------- | --------------- |
| instance of (wdt:P31)                                       | 19526 (xsd:int) |
| wdt:P31279                                                  | 17060 (xsd:int) |
| country (wdt:P17)                                           | 17012 (xsd:int) |
| located in the administrative territorial entity (wdt:P131) | 14310 (xsd:int) |
| coordinate location (wdt:P625)                              | 10775 (xsd:int) |
| ...                                                         | ...             |
| Bavarian geotope ID (wdt:P4266)                             | 97 (xsd:int)    |
| GNIS Feature ID (wdt:P590)                                  | 94 (xsd:int)    |
| WDPA ID (wdt:P809)                                          | 93 (xsd:int)    |
| Mapy.cz ID (wdt:P8988)                                      | 90 (xsd:int)    |
| IUCN protected areas category (wdt:P814)                    | 90 (xsd:int)    |

[Assistant] I'll run a SPARQL query that counts distinct items that are instance of "cave" (wd:Q35509) and have a country (wdt:P17), grouping by country and keeping only those with count > 10. I will request English labels for the countries as optional. Now I'll execute that query.

[Tool]
Got 82 rows and 3 columns, showing the first 5 and last 5 rows below:
| country                    | caveCount      | countryLabel          |
| -------------------------- | -------------- | --------------------- |
| Bulgaria (wd:Q219)         | 5590 (xsd:int) | Bulgaria (en)         |
| Spain (wd:Q29)             | 1782 (xsd:int) | Spain (en)            |
| Poland (wd:Q36)            | 924 (xsd:int)  | Poland (en)           |
| Germany (wd:Q183)          | 773 (xsd:int)  | Germany (en)          |
| Hungary (wd:Q28)           | 722 (xsd:int)  | Hungary (en)          |
| ...                        | ...            | ...                   |
| Venezuela (wd:Q717)        | 12 (xsd:int)   | Venezuela (en)        |
| Papua New Guinea (wd:Q691) | 12 (xsd:int)   | Papua New Guinea (en) |
| Chile (wd:Q298)            | 12 (xsd:int)   | Chile (en)            |
| Andorra (wd:Q228)          | 12 (xsd:int)   | Andorra (en)          |
| Cuba (wd:Q241)             | 11 (xsd:int)   | Cuba (en)             |

[Assistant] I'll run the final SPARQL query that counts caves (instances of wd:Q35509) per country (wdt:P17), keeping countries with more than 10 caves, and request English labels. This verifies the result before I return the final query and answer.

[Tool]
Got 82 rows and 3 columns, showing the first 5 and last 5 rows below:
| country                    | caveCount      | countryLabel          |
| -------------------------- | -------------- | --------------------- |
| Bulgaria (wd:Q219)         | 5590 (xsd:int) | Bulgaria (en)         |
| Spain (wd:Q29)             | 1782 (xsd:int) | Spain (en)            |
| Poland (wd:Q36)            | 924 (xsd:int)  | Poland (en)           |
| Germany (wd:Q183)          | 773 (xsd:int)  | Germany (en)          |
| Hungary (wd:Q28)           | 722 (xsd:int)  | Hungary (en)          |
| ...                        | ...            | ...                   |
| Venezuela (wd:Q717)        | 12 (xsd:int)   | Venezuela (en)        |
| Papua New Guinea (wd:Q691) | 12 (xsd:int)   | Papua New Guinea (en) |
| Chile (wd:Q298)            | 12 (xsd:int)   | Chile (en)            |
| Andorra (wd:Q228)          | 12 (xsd:int)   | Andorra (en)          |
| Cuba (wd:Q241)             | 11 (xsd:int)   | Cuba (en)             |

[Assistant] Now I'll provide the final SPARQL query and the answer summary.

[Tool] Stopping