PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?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 need to identify the entity for "Brooklyn Bridge" and find the property that relates it to the river it crosses.

Step 1: Search for the entity "Brooklyn Bridge" in Wikidata.

[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 entity "Brooklyn Bridge" is identified as wd:Q125006, which is a bridge in New York City crossing the East River.

Step 2: Find the property that indicates the river the Brooklyn Bridge crosses. I will look for properties related to "crosses" or "river" for the entity wd:Q125006.

[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. longest span, also known as length of longest span, span length (main), span length (longest), main span length, longest span length (wd:P2787 as wdt/p): length of the longest span of a bridge, a natural arch
3. 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
4. clearance, also known as span height, height of deck bottom, bridge height, height above water, height above valley floor (wd:P2793 as wdt/p): distance between surface under bridge and bottom of a bridge deck
5. 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
6. 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
7. 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)
8. width, also known as breadth, bus width, size (wd:P2049 as wdt/p): width of an object, length
9. 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)
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 the relevant property that indicates the obstacle (such as a body of water) which the Brooklyn Bridge crosses over.

Step 3: Query the river that the Brooklyn Bridge (wd:Q125006) crosses using the property wdt:P177.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly uses the property wdt:P177 (crosses) to find the river that the Brooklyn Bridge (wd:Q125006) crosses. The query returns the East River (wd:Q212862) as expected, which matches the known answer. The query also optionally retrieves the English label of the river, which is helpful for readability. The answer is correct and complete, and the query follows the rules for SPARQL queries. No further refinement is needed.


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

The highest mountain after Annapurna I (8091 meters) in the Himalayas is Gyachung Kang with an elevation 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 the knowledge graph.
2. Determine the height of Annapurna.
3. Find mountains that are lower in height than Annapurna but higher than all other mountains except Annapurna.
4. Return the mountain that is the highest after Annapurna.

Step 1: 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 is about the highest mountain after Annapurna, it is more appropriate to consider "Annapurna I" (Q16466024) because it refers to the specific mountain peak.

Step 2: I will now find the height of Annapurna I (Q16466024).

[Tool]
Got 1 row and 3 columns:
| subject                    | property                              | object             |
| -------------------------- | ------------------------------------- | ------------------ |
| Annapurna I (wd:Q16466024) | elevation above sea level (wdt:P2044) | 8091 (xsd:decimal) |

[Assistant]
The height of Annapurna I is 8091 meters.

Step 3: Now I will find mountains with elevation (wdt:P2044) less than 8091 meters and sort them by elevation in descending order to find the highest mountain after Annapurna I.

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

[Assistant]
The highest mountain after Annapurna I (8091 meters) according to the query result is Vinegar Hill with an elevation of 8084 meters. However, this seems incorrect because Vinegar Hill is not known as one of the highest mountains globally.

I will refine the query to ensure the mountains are part of the Himalayas or other known high mountain ranges and check again.

[Tool] Got no rows and 3 columns

[Assistant]
The refined query to find the highest mountain in Asia with elevation less than Annapurna I returned no results. This might be because the property for continent (wdt:P30) is not consistently used for mountains or the mountain might not be directly linked to Asia.

I will try another approach: I will find the highest mountains with elevation less than Annapurna I and check if they belong to the Himalayas mountain range or other known ranges. I will retrieve a few results to inspect.

[Tool]
Got 10 rows and 3 columns:
| mountain                             | mountainLabel              | elevation          |
| ------------------------------------ | -------------------------- | ------------------ |
| Vinegar Hill (wd:Q39074795)          | Vinegar Hill (en)          | 8084 (xsd:decimal) |
| Gasherbrum (wd:Q187138)              | Gasherbrum (en)            | 8080 (xsd:decimal) |
| Mount Hardy (wd:Q49052914)           | Mount Hardy (en)           | 8080 (xsd:decimal) |
| Corteo Peak (wd:Q49022207)           | Corteo Peak (en)           | 8080 (xsd:decimal) |
| Hozomeen Mountain (wd:Q3141668)      | Hozomeen Mountain (en)     | 8071 (xsd:decimal) |
| El Capitan (wd:Q5350921)             | El Capitan (en)            | 8064 (xsd:decimal) |
| Mount Ina Coolbrith (wd:Q6921409)    | Mount Ina Coolbrith (en)   | 8064 (xsd:decimal) |
| Broad Peak (wd:Q180996)              | Broad Peak (en)            | 8051 (xsd:decimal) |
| Blue Mountain Plateau (wd:Q49014482) | Blue Mountain Plateau (en) | 8048 (xsd:decimal) |
| The Blues (wd:Q49082179)             | The Blues (en)             | 8042 (xsd:decimal) |

[Assistant]
The results include some mountains that are not known as the highest mountains globally (e.g., Vinegar Hill, El Capitan). However, I notice "Gasherbrum" and "Broad Peak" which are known high mountains in the Karakoram range, close to the Himalayas.

Step 4: I will check the elevation of "Gasherbrum" and "Broad Peak" specifically and verify their heights and mountain ranges to identify the highest mountain after Annapurna I. I will also check if there is a better way to filter for the highest mountains in the Himalayas or nearby ranges.

[Tool]
Got 1 row and 3 columns:
| subject                 | property                              | object             |
| ----------------------- | ------------------------------------- | ------------------ |
| Gasherbrum (wd:Q187138) | elevation above sea level (wdt:P2044) | 8080 (xsd:decimal) |

[Tool]
Got 1 row and 3 columns:
| subject                 | property                              | object             |
| ----------------------- | ------------------------------------- | ------------------ |
| Broad Peak (wd:Q180996) | elevation above sea level (wdt:P2044) | 8051 (xsd:decimal) |

[Assistant]
Gasherbrum has an elevation of 8080 meters, and Broad Peak has an elevation of 8051 meters. Both are slightly lower than Annapurna I (8091 meters).

Step 5: I will check if there are any mountains higher than Gasherbrum but lower than Annapurna I. I will limit the search to mountains with elevation between 8080 and 8091 meters.

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

[Assistant]
The only mountain with elevation between 8080 and 8091 meters is Vinegar Hill (8084 meters), which seems incorrect for the context of highest mountains globally.

Step 6: I will now check the highest mountains in the world to see if Annapurna I is indeed the second highest or if there are other mountains higher than Annapurna I but lower than the highest mountain (Mount Everest). This will help identify the correct mountain after Annapurna I.

[Tool]
Got 10 rows and 3 columns:
| mountain                      | mountainLabel        | elevation           |
| ----------------------------- | -------------------- | ------------------- |
| 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 results show some mountains with elevations much lower than Annapurna I (8091 meters), which indicates that the query might not be correctly filtering for the highest mountains globally.

Step 7: I will specifically check the elevation of Mount Everest (the highest mountain) and then find the mountains ranked by elevation to identify the highest mountain after Annapurna I. I will search for "Mount Everest" entity first.

[Tool]
Top 10 entity alternatives:
1. Mount Everest, also known as Chomolungma, Chomolangma, Zhumulangma, World highest peak, Sagarmāthā (wd:Q513): Earth's highest mountain above sea level, located in the Mahalangur Himal sub-range of the Himalayas
2. The Climbers, also known as Chomolungma, Mount Everest, Qomolangma (wd:Q61882061): 2019 film directed by Daniel Lee
3. Mount Everest (wd:Q19977041): band
4. Mount Everest, also known as IMO 9470985 (wd:Q84260471): ship built in 2010
5. Mount Everest, also known as Mount Everest, Australia (wd:Q21939846): mountain in New South Wales, Australia
6. Mount Everest, also known as Mount Everest, South Africa (wd:Q31505139): mountain in the Free State Province, South Africa
7. Mount Everest (wd:Q119187184): painting by G. Hemwell, Hampshire Cultural Trust Headquarters, Winchester (Hampshire County Council’s Fine Art Collection)
8. Mount Everest (wd:Q59014625): article published May 1955
9. Mount Everest (wd:Q60102972): article published March 1921
10. Mount Everest (wd:Q60106019): article published November 1921

[Assistant]
The entity for Mount Everest is wd:Q513.

Step 8: I will find the elevation of Mount Everest (wd:Q513) to confirm it is the highest mountain. Then I will find the mountains with elevation less than Mount Everest but higher than Annapurna I to identify the highest mountain after Annapurna I.

[Tool]
Got 1 row and 3 columns:
| subject                 | property                              | object                |
| ----------------------- | ------------------------------------- | --------------------- |
| Mount Everest (wd:Q513) | elevation above sea level (wdt:P2044) | 8848.86 (xsd:decimal) |

[Assistant]
Mount Everest has an elevation of 8848.86 meters, which is the highest.

Step 9: I will now find mountains with elevation less than Mount Everest (8848.86 meters) but higher than Annapurna I (8091 meters) and order them by elevation in descending order to find the highest mountain after Annapurna I.

[Tool]
Got 1 row and 3 columns:
| mountain                  | mountainLabel    | elevation          |
| ------------------------- | ---------------- | ------------------ |
| Mount Pinos (wd:Q6922761) | Mount Pinos (en) | 8847 (xsd:decimal) |

[Assistant]
The result shows Mount Pinos with an elevation of 8847 meters as the highest mountain after Annapurna I, which seems incorrect because Mount Pinos is not known as one of the highest mountains globally.

Step 10: I will refine the query to restrict results to mountains in the Himalayas or Karakoram ranges, which are known to have the highest mountains. I will check for mountains that are part of these mountain ranges and have elevation between 8091 and 8848.86 meters.

[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 wd:Q5451.

Step 11: I will now find mountains that are part of the Himalayas (wd:Q5451) and have elevation between 8091 and 8848.86 meters, ordered by elevation in descending order.

[Tool]
Got 1 row and 3 columns:
| mountain            | mountainLabel | elevation          |
| ------------------- | ------------- | ------------------ |
| Lhotse (wd:Q168702) | Lhotse (en)   | 8516 (xsd:decimal) |

[Assistant]
The highest mountain in the Himalayas after Annapurna I is Lhotse with an elevation of 8516 meters.

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

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query correctly filters mountains in the Himalayas with elevation less than Annapurna I (8091 meters) and orders them by elevation descending, limiting to the highest one after Annapurna. However, the answer given states Lhotse (8516 m) as the highest after Annapurna, which is incorrect because Lhotse is actually higher than Annapurna I and should not be filtered out. The filter should exclude mountains with elevation greater than or equal to Annapurna I's elevation, not less. Also, the query currently returns Gyachung Kang (7952 m), which is indeed the highest mountain after Annapurna I, not Lhotse. The answer text should be corrected to reflect this. Therefore, the SPARQL query is mostly correct but the explanation in the answer is wrong. Suggest to correct the answer to say Gyachung Kang is the highest mountain after Annapurna I, and clarify the filter to exclude mountains with elevation greater than or equal to Annapurna I's elevation.

[Assistant]
Thank you for the feedback. You are right. The filter should exclude mountains with elevation greater than or equal to Annapurna I's elevation (8091 meters), so only mountains with elevation less than 8091 meters are considered. Lhotse, being higher than Annapurna I, should not be included. The highest mountain after Annapurna I is Gyachung Kang with an elevation of 7952 meters.

I will correct the SPARQL query filter and update the answer accordingly.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the highest mountain in the Himalayas after Annapurna I by filtering mountains with elevation less than 8091 meters and ordering them by elevation descending. It also restricts the search to mountains that are part of the Himalayas. The answer, Gyachung Kang with an elevation of 7952 meters, is accurate and complete. The query returns the mountain's identifier, label, and elevation as required. No further refinement is necessary.


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 Canberra, the capital of Australia, 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 "Australia" in Wikidata.
I will search for the entity "Australia" to get its Wikidata identifier.

[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: Identify the capital of Australia.
I will query the capital city of Australia using the property "capital" (P36).

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

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

Step 3: Find the population of Canberra.
I will query the population (property P1082) of Canberra.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the population of Canberra (wd:Q3114), which is the capital of Australia. The property used (wdt:P1082) is appropriate for population. The answer 381,488 matches the query result. The query is simple and direct, and it follows the rules by returning the population value. Therefore, the output is correct and complete.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?placeOfDeath ?placeOfDeathLabel ?city ?cityLabel WHERE {
  wd:Q9696 wdt:P20 ?placeOfDeath .
  OPTIONAL {
    ?placeOfDeath wdt:P31 wd:Q515 .
  }
  OPTIONAL {
    ?placeOfDeath wdt:P131 ?city .
    ?city rdfs:label ?cityLabel
    FILTER ( LANG( ?cityLabel ) = "en" )
  }
  ?placeOfDeath rdfs:label ?placeOfDeathLabel FILTER ( LANG( ?placeOfDeathLabel ) = "en" )
}
LIMIT 1

John F. Kennedy died in the city of Dallas. The place of death was Parkland Memorial Hospital located in 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 identify the entity for John F. Kennedy and the property related to the place of death. Then I will query the city where he died.

Step 1: Search 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. Next, I need to find the property that corresponds to the place of death for this entity. I will search for properties related to "place of death" for John F. Kennedy (wd:Q9696).

[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 "place of death" (wdt:P20) is the appropriate property to use for finding the city where John F. Kennedy died. Now I will construct a SPARQL query to get the place of death for John F. Kennedy (wd:Q9696). I will also try to get the label of the place of death to provide a human-readable answer.

[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. To answer the question about the city, I need to find the city where Parkland Memorial Hospital is located. I will query the city for the entity wd:Q3896131 (Parkland Memorial Hospital).

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

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly identifies the place of death of John F. Kennedy as Dallas. However, the query uses the property wdt:P131 (located in the administrative territorial entity) to find the city from the place of death, which might not be necessary if the place of death is already a city. The place of death (wdt:P20) itself could be directly returned if it is a city. To improve accuracy and simplicity, the query should check if the place of death is a city or directly return it. Also, the query should ensure that the label is returned in English without relying on optional clauses if the user expects a human-readable answer. Overall, the answer is correct but the query can be refined for clarity and precision.

[Assistant]
Thank you for the feedback. To refine the query, I will check if the place of death is a city (instance of a city) and return it directly if so. Otherwise, I will find the city where the place of death is located. I will also ensure the label is returned in English without optional clauses for clarity.

I will now refine the SPARQL query accordingly.

[Tool] Got no rows and 2 columns

[Assistant] The refined query did not return any results because the place of death (Parkland Memorial Hospital) is not an instance of a city. I will adjust the query to return the place of death directly if it is a city, otherwise return the city where the place of death is located, but without restricting the city to be an instance of a city. This will cover cases where the place of death is a city or a location within a city. I will also ensure the label is returned in English. I will try this adjusted query now.

[Tool]
Got 1 row and 4 columns:
| placeOfDeath                             | placeOfDeathLabel               | city               | cityLabel   |
| ---------------------------------------- | ------------------------------- | ------------------ | ----------- |
| Parkland Memorial Hospital (wd:Q3896131) | Parkland Memorial Hospital (en) | Dallas (wd:Q16557) | Dallas (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of death of John F. Kennedy and the city associated with that place. The answer is accurate and complete, stating that John F. Kennedy died in Dallas, specifically at Parkland Memorial Hospital. The query uses appropriate properties and entities, and the result matches the known historical fact. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?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.

Step 2: Search for 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 wd:P38 (currency).

Step 3: Query the currency of the Czech Republic (wd:Q213) using the property wd:P38. I will also include the label of the currency for better readability.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the currency of the Czech Republic using the property wdt:P38. It also optionally retrieves the English label of the currency. The answer 'The currency of the Czech Republic is the Czech koruna.' is accurate and matches the query result. The query follows the rules by returning the identifier and label, and the answer is complete and correct.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?episode ?episodeLabel WHERE {
  ?episode wdt:P31 wd:Q21191270 .
  ?episode wdt:P4908 wd:Q5274359 .
  ?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 episodes of the first season of the HBO television series The Sopranos are: 46 Long, A Hit Is a Hit, Boca, College, Denial, Anger, Acceptance (this is a single episode title), 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 the question, I need to identify the entity for the HBO television series "The Sopranos" and then find the episodes of its first season.

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 season of a television series: wd:Q5274359.

Step 2: I will now find all episodes that belong to the first season (wd:Q5274359) of The Sopranos. Episodes are usually linked to a season by the property "part of" or "season of" (P179 or similar).

I will search for episodes that have the first season entity as their "part of" property.

[Tool] Got no rows and 3 columns

[Assistant]
No direct triples found with property "part of" (P179) linking episodes to the first season entity. I will try to find episodes by searching for entities that are instances of "television episode" and belong to the first season.

Step 3: Search for properties of the first season entity to find the property used to link episodes.

[Tool]
Top 10 property alternatives:
1. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as wdt/p): series which contains the subject, part of
2. number of episodes, also known as series length, no. of episodes, episodes, episode count (wd:P1113 as wdt/p): number of episodes in a film/TV/radio series, number of parts of this work
3. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as wdt/p): network(s) or service(s) that originally broadcast a radio or television program, broadcast by
4. TheTVDB season ID, also known as TheTVDB.com season ID (wd:P12397 as wdt/p): identifier for a TV season on the website TheTVDB.com
5. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as wdt/p): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
6. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt/p): time an entity begins to exist or a statement starts being valid, point in time
7. TMDB season ID, also known as The Movie Database season ID (wd:P12558 as wdt/p): identifier for a television series season at The Movie Database
8. 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)
9. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
10. original language of film or TV show, also known as media language, original language, language of the original work, created on language (wd:P364 as wdt/p): language in which a film or a performance work was originally cr... works and songs; use P407 ("language of work or name") instead., language of work or name

No other items found

[Assistant]
The property "part of the series" (P179) is the likely property to link episodes to the season, but no direct triples were found with this property for the first season entity. I will try a different approach: find episodes that are part of the series "The Sopranos" (wd:Q23628) and then filter those that belong to the first season (wd:Q5274359).

Step 4: Find episodes that are part of the series "The Sopranos" (wd:Q23628).

[Tool]
Got 92 rows and 3 columns, showing the first 10 rows below:
| subject                              | property                      | object                   |
| ------------------------------------ | ----------------------------- | ------------------------ |
| Made in America (wd:Q187718)         | part of the series (wdt:P179) | The Sopranos (wd:Q23628) |
| College (wd:Q2422019)                | part of the series (wdt:P179) | The Sopranos (wd:Q23628) |
| The Sopranos, season 1 (wd:Q5274359) | part of the series (wdt:P179) | The Sopranos (wd:Q23628) |
| The Sopranos (wd:Q1434187)           | part of the series (wdt:P179) | The Sopranos (wd:Q23628) |
| The Sopranos, season 2 (wd:Q3468641) | part of the series (wdt:P179) | The Sopranos (wd:Q23628) |
| The Sopranos, season 3 (wd:Q3468817) | part of the series (wdt:P179) | The Sopranos (wd:Q23628) |
| From Where to Eternity (wd:Q3479661) | part of the series (wdt:P179) | The Sopranos (wd:Q23628) |
| The Sopranos, season 4 (wd:Q3727040) | part of the series (wdt:P179) | The Sopranos (wd:Q23628) |
| The Sopranos, season 5 (wd:Q3727041) | part of the series (wdt:P179) | The Sopranos (wd:Q23628) |
| The Sopranos, season 6 (wd:Q3727044) | part of the series (wdt:P179) | The Sopranos (wd:Q23628) |
| ...                                  | ...                           | ...                      |

[Assistant]
There are 92 entities that have the property "part of the series" (P179) with the object "The Sopranos" (wd:Q23628). These include episodes and seasons.

Step 5: I will now filter these entities to find those that are part of the first season (wd:Q5274359). I will check if these entities have a property linking them to the first season.

I will write a SPARQL query to find episodes that are part of the first season (wd:Q5274359) and also part of the series "The Sopranos" (wd:Q23628).

[Tool] Got no rows and 2 columns

[Assistant]
No episodes were found with property "part of the series" (P179) linking them directly to the first season (wd:Q5274359).

Step 6: I will try to find episodes that have the first season entity as their "season" property (P4908) or "series ordinal" (P1545) or other relevant properties.

I will search for properties related to "season" for the first season entity.

[Tool]
Top 10 property alternatives:
1. TheTVDB season ID, also known as TheTVDB.com season ID (wd:P12397 as wdt/p): identifier for a TV season on the website TheTVDB.com
2. TMDB season ID, also known as The Movie Database season ID (wd:P12558 as wdt/p): identifier for a television series season at The Movie Database
3. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as wdt/p): series which contains the subject, part of
4. number of episodes, also known as series length, no. of episodes, episodes, episode count (wd:P1113 as wdt/p): number of episodes in a film/TV/radio series, number of parts of this work
5. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as wdt/p): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
6. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt/p): time an entity begins to exist or a statement starts being valid, point in time
7. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdt/p): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
8. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as wdt/p): network(s) or service(s) that originally broadcast a radio or television program, broadcast by
9. 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)
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]
No direct property linking episodes to the first season entity was found in the property search.

Step 7: I will try a different approach by finding all episodes of "The Sopranos" (wd:Q23628) and then check if they have a season number or season entity that corresponds to the first season.

I will write a SPARQL query to find all episodes of "The Sopranos" and retrieve their season number or season entity if available.

[Tool]
Got 86 rows and 3 columns, showing the first 5 and last 5 rows below:
| episode                                          | episodeLabel                            | season                               |
| ------------------------------------------------ | --------------------------------------- | ------------------------------------ |
| Big Girls Don't Cry (wd:Q3442887)                | Big Girls Don't Cry (en)                | The Sopranos, season 2 (wd:Q3468641) |
| Bust Out (wd:Q3442845)                           | Bust Out (en)                           | The Sopranos, season 2 (wd:Q3468641) |
| Commendatori (wd:Q3436444)                       | Commendatori (en)                       | The Sopranos, season 2 (wd:Q3468641) |
| D-Girl (wd:Q3442877)                             | D-Girl (en)                             | The Sopranos, season 2 (wd:Q3468641) |
| Do Not Resuscitate (wd:Q3442904)                 | Do Not Resuscitate (en)                 | The Sopranos, season 2 (wd:Q3468641) |
| ...                                              | ...                                     | ...                                  |
| Meadowlands (wd:Q1750968)                        | Meadowlands (en)                        | The Sopranos, season 1 (wd:Q5274359) |
| Nobody Knows Anything (wd:Q3442850)              | Nobody Knows Anything (en)              | The Sopranos, season 1 (wd:Q5274359) |
| Pax Soprana (wd:Q3442891)                        | Pax Soprana (en)                        | The Sopranos, season 1 (wd:Q5274359) |
| The Legend of Tennessee Moltisanti (wd:Q3499074) | The Legend of Tennessee Moltisanti (en) | The Sopranos, season 1 (wd:Q5274359) |
| The Sopranos (wd:Q1434187)                       | The Sopranos (en)                       | The Sopranos, season 1 (wd:Q5274359) |

[Assistant]
I found 86 episodes of "The Sopranos" with their season information. Some episodes belong to the first season (wd:Q5274359).

Step 8: I will now refine the query to only list episodes of the first season (wd:Q5274359) and return their labels.

[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

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves episodes of the first season of The Sopranos and returns their labels. However, the ordering by ?episodeLabel results in an alphabetical order, which is not the natural order of episodes in a season. It would be better to order the episodes by their episode number (property P1545) or by their episode position within the season to reflect the actual sequence of episodes. Also, the answer lists the episodes in a comma-separated format, but the episode "Denial, Anger, Acceptance" is actually a single episode with a comma in its title, which might be confusing. Consider clarifying that or formatting the list differently. Overall, the query and answer are correct but could be improved for clarity and natural ordering.

[Assistant]
Thank you for the feedback. I will improve the SPARQL query by ordering the episodes by their episode number within the season using property P1545 (series ordinal). I will also clarify the episode titles in the answer to avoid confusion with commas in titles.

I will now update the SPARQL query accordingly.

[Tool]
Got 13 rows and 3 columns, showing the first 5 and last 5 rows below:
| episode                                          | episodeLabel                            | episodeNumber |
| ------------------------------------------------ | --------------------------------------- | ------------- |
| 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)                       |               |

[Assistant] The query did not return episode numbers (P1545) for the episodes, so ordering by episode number was not possible. I will try ordering by the episode's "episode number" property (P1813) as an alternative.

[Tool]
Got 13 rows and 3 columns, showing the first 5 and last 5 rows below:
| episode                                          | episodeLabel                            | episodeNumber |
| ------------------------------------------------ | --------------------------------------- | ------------- |
| 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)                       |               |

[Assistant]
The alternative property "episode number" (P1813) also did not return values for the episodes.

Step 9: I will now try ordering by the episode's "season ordinal" property (P1545) but this time using the statement approach to get the value.

I will write a query to get the season ordinal values from the statements for ordering.

[Tool] Got no rows and 3 columns

[Assistant]
No episodes have the "season ordinal" (P1545) property set in the statements.

Step 10: Since the episode order properties are not available, I will order the episodes by their "episode number" (P1813) or "season ordinal" (P1545) if available, otherwise by their label as a fallback.

I will write a query that tries to order by these properties but falls back to label ordering if they are missing.

[Tool]
Got 13 rows and 4 columns, showing the first 5 and last 5 rows below:
| episode                                          | episodeLabel                            | episodeNumber | seasonOrdinal |
| ------------------------------------------------ | --------------------------------------- | ------------- | ------------- |
| 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)                       |               |               |

[Assistant]
The properties for episode number and season ordinal are not set for these episodes, so ordering by these properties is not possible. The episodes will be ordered by their label as a fallback.

I will now provide the final answer with the episodes listed in the order by their label, clarifying that the episode "Denial, Anger, Acceptance" is a single episode title.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all episodes of the first season of The Sopranos by filtering for television episodes that belong to the first season (wd:Q5274359). The query returns the episode identifiers and their English labels, which is appropriate for the user's question. The answer lists all 13 episodes found, matching the execution result. The query respects the rules by returning identifiers and labels without using unsupported SERVICE clauses. The answer is complete and accurate, so no further refinement is needed.


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

Got 82 rows and 2 columns, showing the first 5 and last 5 rows below:
| country                  | caveCount     |
| ------------------------ | ------------- |
| Libya (wd:Q1016)         | 95 (xsd:int)  |
| Morocco (wd:Q1028)       | 52 (xsd:int)  |
| Uganda (wd:Q1036)        | 29 (xsd:int)  |
| France (wd:Q142)         | 478 (xsd:int) |
| United Kingdom (wd:Q145) | 270 (xsd:int) |
| ...                      | ...           |
| Vietnam (wd:Q881)        | 18 (xsd:int)  |
| South Korea (wd:Q884)    | 251 (xsd:int) |
| Afghanistan (wd:Q889)    | 14 (xsd:int)  |
| Philippines (wd:Q928)    | 21 (xsd:int)  |
| Mexico (wd:Q96)          | 86 (xsd:int)  |

The query will return countries that have more than ten caves based on the count of cave instances linked to countries.

[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 "cave."
3. The property that links caves to countries (e.g., "located in" 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 identifier.

[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 entity "cave" as a natural void under the Earth's surface is identified as wd:Q35509.

Step 2: I will now search for the property that links caves to countries. Likely candidates are "country" or "located in the administrative territorial entity." I will search for properties related to "country" for the entity "cave" (wd:Q35509).

[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 return a clear property like "country" or "located in the administrative territorial entity." I will try a more general search for properties related to "location" for the entity "cave" (wd:Q35509) to find a suitable property that indicates the country or location of the cave.

[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 wdt/wdtn/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 wdt/wdtn/p): identifier for an item in FactGrid

No other items found

[Assistant]
The search for location-related properties for caves did not yield a direct property linking caves to countries. I will try a different approach: I will search for the property "country" in general to see if it is used to link entities like caves to countries. Then I will check if caves have statements with this property.

Step 3: Search for the property "country" in Wikidata.

[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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): most specific known birth location of a person, animal or fictional character, location
7. continent (wd:P30 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 defined as the sovereign state that an item is in. This seems suitable for linking caves to countries. Another relevant property is "located in the administrative territorial entity" (wdt:P131), which could also be used to link caves to countries or smaller administrative units.

Step 4: I will check if caves (wd:Q35509) have statements with the property "country" (wdt:P17) or "located in the administrative territorial entity" (wdt:P131).

I will first check for caves with the property "country" (wdt:P17).

[Tool] Got no rows and 3 columns

[Assistant]
There are no triples with the property "country" (wdt:P17) and object "cave" (wd:Q35509), which means caves are not directly linked to countries using this property.

Step 5: I will now check for caves with the property "located in the administrative territorial entity" (wdt:P131) to see if caves are linked to locations this way.

[Tool] Got no rows and 3 columns

[Assistant]
There are no triples with the property "located in the administrative territorial entity" (wdt:P131) and subject "cave" (wd:Q35509), which means caves are not directly linked to locations using this property.

Step 6: Since direct linking of caves to countries or locations is not found, I will try to find instances of caves (entities that are instances of "cave" wd:Q35509) and check their location properties.

I will query for entities that are instances of "cave" (wd:Q35509) and have a location property (wdt:P17 or wdt:P131) to find the countries they are located in. Then I will count the number of caves per country.

I will now build a SPARQL query to find countries with more than ten caves.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies countries with more than ten caves by counting cave instances (wd:Q35509) linked to countries via the property wdt:P17. The query groups results by country and filters with HAVING to ensure only countries with cave counts greater than ten are returned. The query returns the country identifiers and the cave counts as expected. The execution result shows plausible data with multiple countries and their cave counts, confirming the query's correctness and completeness. No further refinement is necessary.