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

The Brooklyn Bridge crosses the East River.

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

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

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

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

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

[User] Which river does the Brooklyn Bridge cross?

[Assistant] To answer the question "Which river does the Brooklyn Bridge cross?", I will first search for the entity "Brooklyn Bridge" in Wikidata to get its identifier. Then, I will look for properties related to rivers or water bodies that the Brooklyn Bridge crosses.

[Tool]
Top 10 entity alternatives:
1. Brooklyn Bridge, also known as East River Bridge, New York and Brooklyn Bridge (wd:Q125006): bridge in New York City, crossing the East River
2. Brooklyn Bridge (wd:Q929432): 1981 documentary film by Ken Burns
3. Brooklyn Bridge (wd:Q3881953): American television program in the 1990s
4. Brooklyn Bridge (wd:Q28224593): bridge in New South Wales, Australia
5. Brooklyn Bridge (wd:Q104850523): for transfering or transforming data from here to there
6. Brooklyn Bridge (wd:Q19133315): poem by Vladimir Mayakovsky
7. Brooklyn Bridge (wd:Q4974763): album by The Brooklyn Bridge
8. Brooklyn Bridge (wd:Q80080658): print by Frederick Mershimer (American, b. 1958); Printed by the artist (2013.449)
9. Brooklyn Bridge (wd:Q80084452): print by Ernest Born (American, 1898-1992); Charles Massin, Paris (2015.113)
10. Brooklyn Bridge (wd:Q90294662): item from the Cartões Postais Collection at Museu Paulista

[Assistant] The Brooklyn Bridge is identified as wd:Q125006 in Wikidata. It is a bridge in New York City crossing the East River. Now I will verify the property that indicates the river it crosses. I will search for properties related to "cross" or "river" for this entity.

[Tool]
Top 10 property alternatives:
1. crosses, also known as under, tunnel under, through, spanning, over (wd:P177 as wdt/p): obstacle (body of water, road, railway...) which this bridge (ferry, ford) crosses over or this tunnel goes under
2. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
4. plaque image, also known as memorial plaque image, inscription image, image of plaque, image of inscription, commemorative plaque image (wd:P1801 as wdt/p): image of plaque or inscription commemorating or mentioning the subject. For graves, use grave picture (P1442), image
5. width, also known as breadth, bus width, size (wd:P2049 as wdt/p): width of an object, length
6. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
7. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/p): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
8. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt/p): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. made from material, also known as material used, manufactured out of, manufactured from, made of material, made of (wd:P186 as wdt/p): material the subject or the object is made of or derived from (do not confuse with P10672 which is used for processes), uses
10. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

No other items found

[Assistant] The property "crosses" (wdt:P177) is used to indicate the obstacle (such as a body of water, road, railway) which the bridge crosses over. I will now query the object of this property for the Brooklyn Bridge (wd:Q125006) to find the river it crosses.

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

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?mountain ?mountainLabel ?height WHERE {
  ?mountain wdt:P31 wd:Q8502 ; wdt:P2044 ?height ; wdt:P361 wd:Q5451 .
  FILTER ( ?height < 8091 ) .
  OPTIONAL {
    ?mountain rdfs:label ?mountainLabel FILTER ( lang( ?mountainLabel ) = "en" )
  }
}
ORDER BY DESC ( ?height )
LIMIT 1

The highest mountain after Annapurna I is Gyachung Kang with a height of 7952 meters.

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

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

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

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

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

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

[Assistant]
To answer the question "Which mountain is the highest after the Annapurna?" I need to:

1. Identify the entity for "Annapurna" in Wikidata.
2. Determine the height of Annapurna.
3. Find mountains with heights less than Annapurna's height but are the highest among those.
4. Return the mountain that is the highest after Annapurna.

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

[Tool]
Top 10 entity alternatives:
1. Annapurna, also known as Annapurna Himal, Annapurna (Himalayas), Annapurna Massif (wd:Q159621): mountain range in the Himalayas
2. Annapurna I, also known as Annapurna, Annapurna I Main (wd:Q16466024): mountain in the Himalayas
3. Annapoorna, also known as Umamaheswari, Annapurna (wd:Q4767988): Indian Odia-language author, actor
4. Annapurna (wd:Q4767995): village development committee in Bhojpur District in the Kosi Zone of eastern Nepal
5. Annapurna (wd:Q4768000): 1960 film by V. Madhusudhan Rao
6. Annapurna (wd:Q4767994): book by Maurice Herzog
7. Annapurna (wd:Q88543102): female given name
8. Annapurna (wd:Q70575435): Kannada book by Niranjan
9. Annapurna (wd:Q12301785): Danish singer, singer
10. Annapurna, also known as Category:IMO 9014793, IMO 9014793 (wd:Q83601304): ship built in 1992

[Assistant]
There are two relevant entities related to Annapurna as a mountain: "Annapurna" (Q159621) which is a mountain range in the Himalayas, and "Annapurna I" (Q16466024) which is a specific mountain in the Himalayas. Since the question refers to the highest mountain after Annapurna, it is more appropriate to consider "Annapurna I" (Q16466024) as the reference mountain.

Next, I will find the height of Annapurna I.

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

[Assistant] The height of Annapurna I is 8091 meters. Now, I will find the mountain that is the highest after Annapurna I, meaning the mountain with the highest elevation less than 8091 meters. I will query for mountains with elevation less than 8091 meters and order them by elevation in descending order, limiting the result to 1.

[Tool]
Got 1 row and 3 columns:
| mountain                    | mountainLabel     | height             |
| --------------------------- | ----------------- | ------------------ |
| Vinegar Hill (wd:Q39074795) | Vinegar Hill (en) | 8084 (xsd:decimal) |

[Assistant]
The result shows "Vinegar Hill" with a height of 8084 meters, which is just below Annapurna I's height. However, Vinegar Hill is not a well-known high mountain and this result seems suspicious for the context of the question.

I will refine the query to ensure the mountain is a major mountain peak by checking if it is an instance of "mountain" (Q8502) and also a "mountain peak" (Q8502 or Q8502 subclass). I will also check for well-known high mountains by filtering for mountains that are part of the Himalayas or other major mountain ranges.

I will first check the properties of Annapurna I to see if it belongs to a mountain range. Then I will use that to filter the mountains.

[Tool] Got no rows and 3 columns

[Assistant] Annapurna I does not have a direct property "part of" (P361) for a mountain range. I will try another property "located in the administrative territorial entity" (P131) or "located in or next to body of water" (P206) or "located on terrain feature" (P706) to find the mountain range or region it belongs to.

[Tool]
Got 163 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                                                    | object                                                                 |
| -------------------------- | ----------------------------------------------------------- | ---------------------------------------------------------------------- |
| Annapurna I (wd:Q16466024) | instance of (wdt:P31)                                       | mountain (wd:Q8502)                                                    |
| Annapurna I (wd:Q16466024) | country (wdt:P17)                                           | Nepal (wd:Q837)                                                        |
| Annapurna I (wd:Q16466024) | located in the administrative territorial entity (wdt:P131) | Gandaki Province (wd:Q25104016)                                        |
| Annapurna I (wd:Q16466024) | coordinate location (wdt:P625)                              | POINT(83.820000 28.595800) (geo:wktLiteral)                            |
| Annapurna I (wd:Q16466024) | Commons category (wdt:P373)                                 | Annapurna I                                                            |
| Annapurna I (wd:Q16466024) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Annapurna%20I.jpg> |
| Annapurna I (wd:Q16466024) | described at URL (wdt:P973)                                 | <https://www.montblanclines.com/products/annapurna-i-south-face>       |
| Annapurna I (wd:Q16466024) | elevation above sea level (wdt:P2044)                       | 8091 (xsd:decimal)                                                     |
| Annapurna I (wd:Q16466024) | different from (wdt:P1889)                                  | Annapurna (wd:Q159621)                                                 |
| Annapurna I (wd:Q16466024) | topic's main category (wdt:P910)                            | wd:Q117353291                                                          |
| ...                        | ...                                                         | ...                                                                    |

[Assistant] Annapurna I is an instance of mountain (Q8502) and is located in Gandaki Province, Nepal. It does not explicitly state the mountain range in the properties listed. I will try to find the mountain range of Annapurna I by searching for the property "mountain range" (P4552) or "part of" (P361) for this mountain.

[Tool]
Got 1 row and 3 columns:
| subject                    | property                   | object                 |
| -------------------------- | -------------------------- | ---------------------- |
| Annapurna I (wd:Q16466024) | mountain range (wdt:P4552) | Annapurna (wd:Q159621) |

[Assistant] Annapurna I belongs to the mountain range Annapurna (Q159621). Now, I will find the highest mountain in the Annapurna mountain range that is lower than Annapurna I. Then I will find the highest mountain outside the Annapurna range that is lower than Annapurna I to see which is the highest after Annapurna I overall.

[Tool]
Got 1 row and 3 columns:
| mountain                  | mountainLabel     | height             |
| ------------------------- | ----------------- | ------------------ |
| Annapurna II (wd:Q449534) | Annapurna II (en) | 7937 (xsd:decimal) |

[Assistant]
The highest mountain in the Annapurna mountain range after Annapurna I is Annapurna II with a height of 7937 meters.

Now, I will find the highest mountain outside the Annapurna mountain range that is lower than Annapurna I (8091 meters) to see if there is a higher mountain than Annapurna II but lower than Annapurna I.

[Tool]
Got 1 row and 3 columns:
| mountain                    | mountainLabel     | height             |
| --------------------------- | ----------------- | ------------------ |
| Vinegar Hill (wd:Q39074795) | Vinegar Hill (en) | 8084 (xsd:decimal) |

[Assistant]
The highest mountain outside the Annapurna mountain range that is lower than Annapurna I is Vinegar Hill with a height of 8084 meters. However, Vinegar Hill is not a well-known high mountain and this result seems suspicious.

I will try to find the highest mountains globally to verify if there is a known mountain higher than Annapurna II but lower than Annapurna I. I will query the top highest mountains globally and check their heights.

[Tool]
Got 10 rows and 3 columns:
| mountain                      | mountainLabel        | height              |
| ----------------------------- | -------------------- | ------------------- |
| Peak 17400 (wd:Q123374100)    | Peak 17400 (en)      | 17450 (xsd:decimal) |
| Mount Belford (wd:Q6919666)   | Mount Belford (en)   | 14203 (xsd:decimal) |
| Crestone Needle (wd:Q945543)  | Crestone Needle (en) | 14203 (xsd:decimal) |
| Mount Bross (wd:Q6919868)     | Mount Bross (en)     | 14178 (xsd:decimal) |
| Kit Carson Peak (wd:Q3382311) | Kit Carson Peak (en) | 14171 (xsd:decimal) |
| El Diente Peak (wd:Q5351150)  | El Diente Peak (en)  | 14165 (xsd:decimal) |
| Tabeguache Peak (wd:Q7673004) | Tabeguache Peak (en) | 14162 (xsd:decimal) |
| Mount Sill (wd:Q4419260)      | Mount Sill (en)      | 14159 (xsd:decimal) |
| Mount Democrat (wd:Q8522735)  | Mount Democrat (en)  | 14155 (xsd:decimal) |
| Mount Russell (wd:Q4390381)   | Mount Russell (en)   | 14094 (xsd:decimal) |

[Assistant]
The top 10 highest mountains returned are not correct as they show heights much higher than known highest mountains on Earth, indicating data quality issues.

I will try a different approach: I will look for the highest mountains in the Himalayas (Q8502 subclass or part of Himalayas) and check their heights to find the highest mountain after Annapurna I.

I will search for the entity "Himalayas" first.

[Tool]
Top 10 entity alternatives:
1. Himalayas, also known as Himalaya, Himálaya, Himalaya Mountains, Himálaya Mountains, Himalayan Mountains (wd:Q5451): mountain range in Asia
2. The Himalayas, also known as Himalayas (wd:Q21546296): 2015 film directed by Lee Seok-hoon
3. Himalayas (wd:Q85766587): Welsh rock band
4. Himalayas (wd:Q100353676): painting by Gaganendranath Tagore
5. Himalayas (wd:Q100374811)
6. Himalayas (wd:Q100403347): painting collection of National Gallery of Modern Art, Bangalore
7. Himalayas (wd:Q20441754): painting by Eliot Clark
8. Himalayas (wd:Q20469856): painting by Sidney Nolan
9. Himalayas (wd:Q20469983): painting by Sidney Nolan (AGNSW, 96.1989)
10. Himalayas (wd:L1125498-S1)

[Assistant] The entity for the Himalayas mountain range is Q5451. I will now find the highest mountains that are part of the Himalayas (wdt:P361 wd:Q5451) and order them by height to find the highest mountain after Annapurna I.

[Tool]
Got 1 row and 3 columns:
| mountain                   | mountainLabel      | height             |
| -------------------------- | ------------------ | ------------------ |
| Gyachung Kang (wd:Q582128) | Gyachung Kang (en) | 7952 (xsd:decimal) |

[Assistant]
The highest mountain in the Himalayas after Annapurna I is Gyachung Kang with a height of 7952 meters. This is higher than Annapurna II (7937 meters) which is in the Annapurna range.

Therefore, the highest mountain after Annapurna I is Gyachung Kang.

I will now provide the final answer with the SPARQL query.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?population WHERE {
  wd:Q3114 wdt:P1082 ?population .
}

The population of the capital of Australia, Canberra, is 381,488.

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

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

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

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

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

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

[Assistant]
Step 1: Identify the entity for "Australia" and the property for "capital" to find the capital city of Australia. Then, find the property related to the population of that capital city.

I will start by searching for the entity "Australia" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Australia, also known as AU, The Commonwealth of Australia, Stria, Straya, Stralia (wd:Q408): country in Oceania
2. Australian continent, also known as New Holland, Sahul, Nova Hollandia, Meganesia, Australinea (wd:Q3960): continent in the Earth's Southern Hemisphere
3. Australia (wd:Q275180): 2008 film by Baz Luhrmann
4. Australia (wd:Q205546): 1989 film by Jean-Jacques Andrien
5. Australia (wd:Q4823546): 1996 single by Manic Street Preachers
6. Australia (wd:Q781244): board game
7. Australia (wd:Q16835533): Racehorse
8. Australia, also known as Australia (KA–5) (wd:Q4823541): yacht that raced in the Americas Cup
9. Australia (wd:Q4823543): 2000 album by Howie Day
10. Australia (wd:Q25907685): albedo feature on the planet Mercury

[Assistant]
The entity for the country Australia is wd:Q408.

Step 2: Find the property for "capital" of Australia. I will search for properties related to "capital" for the entity Australia (wd:Q408).

[Tool]
Top 10 property alternatives:
1. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as wdt/p): seat of government of a country, province, state or other type of administrative territorial entity
2. nominal GDP, also known as GDP, GDP, nominal, gross domestic product, nominal GDP, nominal gross domestic product (wd:P2131 as wdt/p): market value of all officially recognized final goods and services produced within a country in a given period of time
3. highest judicial authority, also known as supreme court, judiciary, judicial branch, has supreme court, court (wd:P209 as wdt/p): supreme judicial body within a country, administrative division, or other organization
4. flag, also known as flag description (wd:P163 as wdt/p): subject's flag
5. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
6. anthem, also known as national anthem, team anthem, official song, official hymn, club anthem (wd:P85 as wdt/p): subject's official anthem
7. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as wdt/p): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
9. currency, also known as base currency, used money (wd:P38 as wdt/p): currency used by item, uses
10. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as wdt/p): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible

No other items found

[Assistant]
The property for the capital of a country is wd:P36.

Step 3: Find the capital city of Australia using the property wd:P36. I will query the capital city of Australia (wd:Q408).

[Tool]
Got 1 row and 2 columns:
| capital             | capitalLabel  |
| ------------------- | ------------- |
| Canberra (wd:Q3114) | Canberra (en) |

[Assistant]
The capital of Australia is Canberra (wd:Q3114).

Step 4: Find the property for "population" of a city. I will search for properties related to "population" for the entity Canberra (wd:Q3114).

[Tool]
Top 10 property alternatives:
1. population, also known as inhabitants, human population (wd:P1082 as wdt/p): number of people inhabiting the place; number of people of subject
2. demographics of topic, also known as demography of topic (wd:P9241 as wdt/p): item that deals with demographics of the subject
3. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as wdt/p): area occupied by an object
4. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt/p): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
5. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as wdt/p): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt/p): language designated as official by this item, language used
9. category of associated people, also known as key people category, category of people associated with this place, category for people associated with this place (wd:P1792 as wdt/p): Wikimedia category for people associated with this place or organization, related category
10. continent (wd:P30 as wdt/p): continent of which the subject is a part, located in/on physical feature

No other items found

[Assistant]
The property for population is wd:P1082.

Step 5: Query the population of Canberra (wd:Q3114) using the property wd:P1082.

[Tool]
Got 1 row and 1 column:
| population           |
| -------------------- |
| 381488 (xsd:decimal) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?city ?cityLabel WHERE {
  wd:Q3896131 wdt:P131 ?city .
  OPTIONAL {
    ?city rdfs:label ?cityLabel FILTER ( LANG( ?cityLabel ) = "en" )
  }
}

John F. Kennedy died in the city of Dallas.

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

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

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

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

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

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

[Assistant] To answer the question "In which city did John F. Kennedy die?", I need to find the entity for John F. Kennedy and then find the property related to his place of death. I will start by searching for the entity "John F. Kennedy" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. John F. Kennedy, also known as John Kennedy, John Fitzgerald Kennedy, John F Kennedy, Kennedy, President Kennedy (wd:Q9696): President of the United States from 1961 to 1963, anti-communist, naval officer, statesperson, journalist, politician, writer
2. John F. Kennedy, also known as CVN-79, PCU John F. Kennedy, USS John F. Kennedy (wd:Q240666): 2019 Gerald R. Ford-class aircraft carrier
3. MV John F. Kennedy, also known as IMO 8643195, John F. Kennedy (wd:Q29378914): Staten Island Ferry vessel.
4. John F Kennedy (wd:Q22006430): horse
5. John F. Kennedy (wd:Q130973914): sculpture by Evangelos Frudakis
6. John F. Kennedy, also known as John Flanders Kennedy (wd:Q28836957): American politician and member of the Georgia State Senate, politician
7. John F Kennedy (wd:Q42586306): cultural heritage monument in Aruba
8. Rosa 'John F. Kennedy', also known as John F. Kennedy (wd:Q83668459): rose cultivar
9. John F. Kennedy (wd:Q80912685): scientific article published on 01 November 1963
10. John F. Kennedy (wd:Q78526936): edition; published in 1997

[Assistant] The entity for John F. Kennedy as the President of the United States is wd:Q9696. Now I will search for the property related to the place of death for this entity. I will look for properties related to "place of death" for John F. Kennedy.

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as wdt/p): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as wdt/p): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/p): dissolved, abolished or demolished date, date on which the subject died, end time
4. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as wdt/p): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
5. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as wdt/p): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
6. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
7. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location
8. image of grave, also known as headstone picture, image of gravestone, image of cenotaph, image of grave, image of shrine (wd:P1442 as wdt/p): picture of a person or animal's grave, gravestone or tomb, image
9. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as wdt/p): the place where the person is or has been, resident, location
10. Find a Grave memorial ID, also known as FaG ID, FaGID, Find A Grave grave ID, Findagrave ID, Find A Grave memorial ID (wd:P535 as wdt/p): identifier of an individual's burial place in the Find a Grave database

No other items found

[Assistant] The property for "place of death" is wd:P20. Now I will query the place of death for John F. Kennedy (wd:Q9696) using this property. I will also try to get the label of the place (city) where he died.

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

[Assistant] The place of death for John F. Kennedy is Parkland Memorial Hospital. However, the question asks for the city in which he died. I will now find the city where Parkland Memorial Hospital is located. I will query the location (city) of Parkland Memorial Hospital (wd:Q3896131).

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

[Tool] Stopped generation process


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

The currency of the Czech Republic is the Czech koruna.

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

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

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

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

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

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

[Assistant]
To answer the question about the currency of the Czech Republic, I need to identify the entity for the Czech Republic and the property that relates a country to its currency. Then I will query the currency of the Czech Republic.

Step 1: Search for the entity "Czech Republic" in Wikidata.

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

[Assistant] The entity for the Czech Republic as a country in Central Europe is wd:Q213. Next, I need to find the property that relates a country to its currency. I will search for properties related to "currency" for the entity Czech Republic (wd:Q213).

[Tool]
Top 10 property alternatives:
1. currency, also known as base currency, used money (wd:P38 as wdt/p): currency used by item, uses
2. nominal GDP, also known as GDP, GDP, nominal, gross domestic product, nominal GDP, nominal gross domestic product (wd:P2131 as wdt/p): market value of all officially recognized final goods and services produced within a country in a given period of time
3. central bank (wd:P1304 as wdt/p): country's central bank
4. flag, also known as flag description (wd:P163 as wdt/p): subject's flag
5. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. minimum wage (wd:P6794 as wdt/p): lowest wage which can be paid legally in a state for working
7. VAT rate, also known as goods and services tax rate, GST, sales tax, taxation rate for sales, tax rate for sales (wd:P2855 as wdt/p): percentage value-added tax in this country or region. Do not use for sales tax. For specialised rates, use qualifiers
8. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as wdt/p): religion of a person, organization or religious building, or associated with this subject
9. The New Yorker topic ID, also known as TNY ID, The NewYorker topic ID, New Yorker topic ID, NewYorker topic ID, newyorker.com (wd:P13317 as wdt/p): identifier of a topic on The New Yorker website
10. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant] The property that relates a country to its currency is "currency" with the property ID wdt:P38. Now I will write a SPARQL query to get the currency of the Czech Republic (wd:Q213) using this property.

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

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?episode ?episodeLabel WHERE {
  wd:Q5274359 wdt:P527 ?episode .
  ?episode wdt:P31 wd:Q21191270 .
  OPTIONAL {
    ?episode rdfs:label ?episodeLabel FILTER ( LANG( ?episodeLabel ) = "en" )
  }
}
ORDER BY ?episodeLabel

Got 13 rows and 2 columns, showing the first 5 and last 5 rows below:
| episode                                          | episodeLabel                            |
| ------------------------------------------------ | --------------------------------------- |
| 46 Long (wd:Q3499084)                            | 46 Long (en)                            |
| A Hit Is a Hit (wd:Q3435602)                     | A Hit Is a Hit (en)                     |
| Boca (wd:Q3435595)                               | Boca (en)                               |
| College (wd:Q2422019)                            | College (en)                            |
| Denial, Anger, Acceptance (wd:Q3442861)          | Denial, Anger, Acceptance (en)          |
| ...                                              | ...                                     |
| Meadowlands (wd:Q1750968)                        | Meadowlands (en)                        |
| Nobody Knows Anything (wd:Q3442850)              | Nobody Knows Anything (en)              |
| Pax Soprana (wd:Q3442891)                        | Pax Soprana (en)                        |
| The Legend of Tennessee Moltisanti (wd:Q3499074) | The Legend of Tennessee Moltisanti (en) |
| The Sopranos (wd:Q1434187)                       | The Sopranos (en)                       |

The first season of the HBO television series The Sopranos (wd:Q5274359) has 13 episodes. Here are the episodes with their labels: 46 Long, A Hit Is a Hit, Boca, College, Denial, Anger, Acceptance, Meadowlands, Nobody Knows Anything, Pax Soprana, The Legend of Tennessee Moltisanti, and The Sopranos.

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

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

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

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

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

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

[Assistant]
To answer this question, I need to find the entity for the HBO television series "The Sopranos" and then find the episodes that belong to the first season of this series.

Step 1: Search for the entity "The Sopranos" in Wikidata.

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

[Assistant]
The entity for the HBO television series "The Sopranos" is wd:Q23628. There is also an entity for the first season of The Sopranos as a television series season: wd:Q5274359.

Step 2: Now I will find all episodes that belong to the first season (wd:Q5274359) of The Sopranos. I will look for episodes that have a property indicating they are part of this season.

[Tool] Got no rows and 2 columns

[Assistant]
The query did not return any results. It might be that the property for "part of the series" or "part of the season" is different or the episodes are linked differently.

Step 3: I will try to find the property used for linking episodes to the first season entity (wd:Q5274359) by listing some triples with this season as the subject.

[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) | 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) | original broadcaster (wdt:P449)                 | HBO (wd:Q23633)                        |
| The Sopranos, season 1 (wd:Q5274359) | number of episodes (wdt:P1113)                  | 13 (xsd:decimal)                       |
| ...                                  | ...                                             | ...                                    |

[Assistant]
The property "has part(s)" (wdt:P527) is used to link the first season (wd:Q5274359) to its episodes.

Step 4: I will now query for all episodes that are linked to the first season using the "has part(s)" property.

[Tool]
Got 13 rows and 2 columns, showing the first 5 and last 5 rows below:
| episode                                          | episodeLabel                            |
| ------------------------------------------------ | --------------------------------------- |
| 46 Long (wd:Q3499084)                            | 46 Long (en)                            |
| A Hit Is a Hit (wd:Q3435602)                     | A Hit Is a Hit (en)                     |
| Boca (wd:Q3435595)                               | Boca (en)                               |
| College (wd:Q2422019)                            | College (en)                            |
| Denial, Anger, Acceptance (wd:Q3442861)          | Denial, Anger, Acceptance (en)          |
| ...                                              | ...                                     |
| Meadowlands (wd:Q1750968)                        | Meadowlands (en)                        |
| Nobody Knows Anything (wd:Q3442850)              | Nobody Knows Anything (en)              |
| Pax Soprana (wd:Q3442891)                        | Pax Soprana (en)                        |
| The Legend of Tennessee Moltisanti (wd:Q3499074) | The Legend of Tennessee Moltisanti (en) |
| The Sopranos (wd:Q1434187)                       | The Sopranos (en)                       |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?country WHERE {
  ?cave wdt:P31 wd:Q35509 .
  ?cave wdt:P17 ?country .
}
GROUP BY ?country
HAVING ( COUNT( ?cave ) > 10 )
ORDER BY DESC ( COUNT( ?cave ) )

Got 82 rows and 1 column, showing the first 5 and last 5 rows below:
| country                    |
| -------------------------- |
| Bulgaria (wd:Q219)         |
| Spain (wd:Q29)             |
| Poland (wd:Q36)            |
| Germany (wd:Q183)          |
| Hungary (wd:Q28)           |
| ...                        |
| Venezuela (wd:Q717)        |
| Papua New Guinea (wd:Q691) |
| Chile (wd:Q298)            |
| Andorra (wd:Q228)          |
| Cuba (wd:Q241)             |

There are 82 countries that have more than ten caves. Some of the top countries with the most caves include Bulgaria, Spain, Poland, Germany, and Hungary.

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

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

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

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

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

[User] Which countries have more than ten caves?

[Assistant]
To answer the question "Which countries have more than ten caves?", I need to identify the following:
1. The entity type "country".
2. The entity type or property related to "caves".
3. The property that links caves to countries (e.g., location or country).
4. Count the number of caves per country and filter those with more than ten caves.

Step 1: Search for the entity "cave" to find its Wikidata entity ID.

[Tool]
Top 10 entity alternatives:
1. cave, also known as cavern (wd:Q35509): natural void under the Earth's surface
2. Cave (wd:Q177726): comune in Italy
3. Carlsbad Caverns National Park, also known as CAVE (wd:Q273195): United States National Park in the Guadalupe Mountains in southeastern New Mexico
4. Cave (wd:Q736010): single by Muse
5. The Cave, also known as Cave (wd:Q1027834): 2005 film directed by Bruce Hunt
6. Cave, also known as Cave, MO (wd:Q957976): village in Missouri
7. CAVE, also known as Cave Co., Ltd., Cave Interactive Co., Ltd. (wd:Q2495040): video game company
8. Cave (wd:Q18436524): human settlement in Italy
9. Cave, also known as Cave, New Zealand (wd:Q5054876): locality in Timaru District, Canterbury Region, New Zealand
10. Cave (wd:Q18506124)

[Assistant] The Wikidata entity for a natural cave is wd:Q35509. Next, I need to find the property that links caves to countries. This is likely a property related to location or country. I will search for properties of the entity "cave" related to location or country.

[Tool]
Top 10 property alternatives:
1. OpenStreetMap tag or key, also known as tag, OSM wiki tag or key, OpenStreetMap relation role, OSM tag or key, OSM tag (wd:P1282 as p): OpenStreetMap tagging schema (a Key:key, Tag:key=value, Relation:type, or Role:role) for classes, properties, and values
2. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
3. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
4. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
5. spherical panorama image, also known as 360-degree panorama image, photosphere panoramic image, photosphere panorama, photosphere image, panorama view 360x180 degrees (wd:P4640 as wdt/p): image with the field of view 360×180 degrees oyiyi na ubi anya 360×180 degrees, panoramic view
6. studied in, also known as is studied by, studied by, science, that studies, researched in, researched by (wd:P2579 as wdt/p): subject is studied by this science or domain, field of work
7. properties for this type, also known as uses properties, Wikidata properties for this type, Wikidata properties for this class, uses property, things one could say about (wd:P1963 as wdt/p): when this subject is used as object of “instance of”, the following properties normally apply
8. has list, also known as list, topic's list, topic list, related list, list for this topic (wd:P2354 as wdt/p): Wikimedia list related to this subject
9. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
10. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)

No other items found

[Assistant] The search for a direct property linking caves to countries did not yield a clear property. I will try searching for properties related to "location" for the entity "cave" as location might be used to indicate the country where the cave is located.

[Tool]
Top 10 property alternatives:
1. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
2. Commons gallery, also known as gallery (wd:P935 as wdt/p): name of the Wikimedia Commons gallery page(s) related to this item (is suitable to allow multiple links to more gallery pages)
3. spherical panorama image, also known as 360-degree panorama image, photosphere panoramic image, photosphere panorama, photosphere image, panorama view 360x180 degrees (wd:P4640 as wdt/p): image with the field of view 360×180 degrees oyiyi na ubi anya 360×180 degrees, panoramic view
4. OpenStreetMap tag or key, also known as tag, OSM wiki tag or key, OpenStreetMap relation role, OSM tag or key, OSM tag (wd:P1282 as p): OpenStreetMap tagging schema (a Key:key, Tag:key=value, Relation:type, or Role:role) for classes, properties, and values
5. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
6. properties for this type, also known as uses properties, Wikidata properties for this type, Wikidata properties for this class, uses property, things one could say about (wd:P1963 as wdt/p): when this subject is used as object of “instance of”, the following properties normally apply
7. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
8. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as wdtn/wdt/p): identifier from an international authority file of names, subjects, and organizations
9. PSH ID, also known as Czech Technical Library ID, PSH, PSH identifier (wd:P1051 as wdt/p): identifier in the authority database of the Czech Technical Library
10. FactGrid item ID, also known as FG ID, FactGrid ID (wd:P8168 as wdtn/wdt/p): identifier for an item in FactGrid

No other items found

[Assistant] The search for a property related to "location" for caves did not yield a suitable property either. I will try a different approach: I will search for the property "country" in general to see if it is used to link geographical entities like caves to countries. Then I will check if it is used for caves.

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): place where a statement is valid, applies to part
2. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): the object is a country that recognizes the subject as its citizen, country
4. country, also known as sovereign state, state, land, host country (wd:P17 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): most specific known birth location of a person, animal or fictional character, location
7. continent (wd:P30 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): continent of which the subject is a part, located in/on physical feature
8. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): geographical place of publication of the edition (use 1st edition when referring to works), significant place
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as ps/p/psn/pqn/wdtn/wdt/pq/psv/prn/prv/pqv/pr): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant] The property "country" (wdt:P17) is used to indicate the sovereign state that an item is in. This property might be used for caves as well. I will check if caves have the property "country" (wdt:P17) to link them to countries. I will do this by listing some caves and checking their properties.

[Tool]
Got 809 rows and 3 columns, showing the first 10 rows below:
| subject          | property                                       | object                                                                          |
| ---------------- | ---------------------------------------------- | ------------------------------------------------------------------------------- |
| cave (wd:Q35509) | Commons category (wdt:P373)                    | Caves                                                                           |
| cave (wd:Q35509) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/Hawaiian%20lava%20tube.jpg> |
| cave (wd:Q35509) | subclass of (wdt:P279)                         | landform (wd:Q271669)                                                           |
| cave (wd:Q35509) | described by source (wdt:P1343)                | Brockhaus and Efron Encyclopedic Dictionary (wd:Q602358)                        |
| cave (wd:Q35509) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                                                     |
| cave (wd:Q35509) | different from (wdt:P1889)                     | cavatelli (wd:Q19959)                                                           |
| cave (wd:Q35509) | topic's main category (wdt:P910)               | wd:Q6782647                                                                     |
| cave (wd:Q35509) | exact match (wdt:P2888)                        | <http://purl.obolibrary.org/obo/ENVO_00000067>                                  |
| cave (wd:Q35509) | said to be the same as (wdt:P460)              | animal divot (wd:Q65134076)                                                     |
| cave (wd:Q35509) | Commons gallery (wdt:P935)                     | Cave                                                                            |
| ...              | ...                                            | ...                                                                             |

[Assistant]
The listing for the entity "cave" (wd:Q35509) shows general properties about the class itself, not individual caves. I need to find instances of caves (individual caves) and check if they have the property "country" (wdt:P17).

I will search for entities that are instances of cave (wd:Q35509) to get some individual caves. Then I will check if these caves have the property "country" (wdt:P17).

[Tool]
Got 10 rows and 1 column:
| cave                              |
| --------------------------------- |
| Ferenc-hegyi Cave (wd:Q1000427)   |
| Feszti Cave (wd:Q1000995)         |
| Grotta Porcinara (wd:Q100145626)  |
| Erawan cave (wd:Q1002285)         |
| wd:Q100268234                     |
| wd:Q100269443                     |
| Andirilena Cave (wd:Q100272032)   |
| Kyzyl-Yar (wd:Q100277176)         |
| Tihanyi Forrás Cave (wd:Q1003062) |
| Buk û Zava (wd:Q1003208)          |

[Assistant] I found some individual caves. Now I will check if these caves have the property "country" (wdt:P17) to link them to countries. I will check for the first cave "Ferenc-hegyi Cave" (wd:Q1000427).

[Tool]
Got 1 row and 3 columns:
| subject                         | property          | object           |
| ------------------------------- | ----------------- | ---------------- |
| Ferenc-hegyi Cave (wd:Q1000427) | country (wdt:P17) | Hungary (wd:Q28) |

[Assistant]
The cave "Ferenc-hegyi Cave" (wd:Q1000427) has the property "country" (wdt:P17) linking it to Hungary (wd:Q28). This confirms that caves have the property "country" to indicate the country they are in.

Next, I will write a SPARQL query to count the number of caves per country and filter those with more than ten caves. I will also include the country label for readability.

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

[Tool] Stopped generation process