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

The population of Canberra, the capital city 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]
To answer this question, we need to identify the capital of Australia and then find the population of that city. Let's start by searching for the entity representing the capital of Australia.

I will use the `search_entity` function to look for the capital of Australia.

[Tool]
Top 10 entity alternatives:
1. capital of Australia (wd:L453378-S1)
2. capital of Australia (wd:L452643-S1)
3. Australian Capital Territory, also known as ACT, Australia, AU-ACT, Australia Capital Territory, Australian capital territory, Australian Capital Territory, Australia (wd:Q3258): federal territory of Australia, containing the capital city, Canberra
4. capital city of Western Australia, Australia (wd:L453410-S1)
5. capital city of Western Australia, Australia (wd:L452717-S1)
6. capital city of Victoria, Australia (wd:L453397-S1)
7. capital city of Queensland, Australia (wd:L453970-S1)
8. capital city of South Australia (wd:L453376-S1)
9. capital city of Tasmania, Australia (wd:L453997-S1)
10. capital of Norfolk Island, Australia (wd:L481769-S7)

[Assistant]
From the search results, the most relevant entity is "Australian Capital Territory" (wd:Q3258), which contains the capital city, Canberra. However, we specifically need the entity for the city of Canberra itself. Let's search for "Canberra" to get the correct entity.

I will use the `search_entity` function again to look for the entity representing Canberra.

[Tool]
Top 10 entity alternatives:
1. Canberra, also known as Canberra, Australia, Canberra, Australian Capital Territory (wd:Q3114): capital city of Australia
2. Canberra Airport, also known as CANBERRA, Canberra Airport, Australian Capital Territory, Canberra International Airport, CBR, YSCB (wd:Q14300): airport in Canberra, Australia
3. English Electric Canberra, also known as BAe Canberra, Canberra, Canberra aircraft, Canberra bomber, English Electric (wd:Q520964): 1949 bomber aircraft family by English Electric
4. DH.61 Giant Moth, also known as D.H.61, Giant Moth, DH61, de Havilland Giant Moth, de Havilland D.H.61 (wd:Q1051944): airliner biplane built by de Havilland in the 1920s
5. HMAS Canberra, also known as Canberra, IMO 9608960, L-02, L02 (wd:Q925439): 2011 Canberra-class landing helicopter dock
6. City, also known as Civic Centre, Civic, Australian Capital Territory, City, Australian Capital Territory, Civic, City, Australian Capital Territory, Australia (wd:Q4421073): city centre of Canberra, Australia
7. Canberra, also known as Division of Canberra (wd:Q2973482): Australian federal electoral division
8. Canberra (wd:Q14600395): crater on Mars
9. Canberra, also known as Canberra Parish, Parish of Canberra (wd:Q5031273): former Parish of New South Wales
10. Canberra, also known as Division of Canberra (wd:Q56284269): former electoral division of the Australian Capital Territory House of Assembly

[Assistant]
The top result is the entity for Canberra, the capital city of Australia (wd:Q3114). Now that we have the correct entity, we need to find the population of Canberra. We will search for the property that represents population.

I will use the `search_property` function to look for the population property.

[Tool]
Top 10 property alternatives:
1. tabular population, also known as population (wd:P4179 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): same as population (P1082); used when there is data for many different points in time
2. population, also known as inhabitants, human population (wd:P1082 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): number of people inhabiting the place; number of people of subject
3. has census, also known as has human population census (wd:P8701 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): general population census of the country or region
4. urban population (wd:P6343 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): number of people living within the territorial entity who live in its urban parts, population
5. birth rate (wd:P8763 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): the total number of live births per 1,000 population
6. category populated by, also known as category filled by, category has template, cat populated by, component adding into the category, populated by (wd:P4329 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): software component (template, module, extension, MediaWiki core) populating the category
7. rural population (wd:P6344 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): number of people living within the territorial entity who live in its rural parts, population
8. female population (wd:P1539 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): number of female people inhabiting the place; number of female people of subject, population
9. male population, also known as male inhabitants, number of males (wd:P1540 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): number of male people inhabiting the place; number of male people of subject, population
10. number of households, also known as dwellings, households (wd:P1538 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): total number of households in this place, includes dwellings of all types

[Assistant]
The most relevant property for population is "population" (wd:P1082). Now we can construct a SPARQL query to retrieve the population of Canberra.

Let's execute the SPARQL query to get the population of Canberra.

[Tool]
Got 1 row and 1 column:
| ?population |
| ----------- |
| 381488      |

[Assistant]
The population of Canberra, the capital city of Australia, is 381,488.

I will now provide the final answer using the `answer` function.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?city WHERE {
  wd:Q9696 wdt:P20 ?placeOfDeath .
  ?placeOfDeath wdt:P131 ?city .
}

John F. Kennedy died in the city of Dallas.

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

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

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

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

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

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

[Assistant] To answer the question about the city where John F. Kennedy died, we need to identify the entity for John F. Kennedy and then find the property that indicates the place of death. Let's start by searching for John F. Kennedy in the knowledge graph.

[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 top result for John F. Kennedy is the correct one (wd:Q9696). Now, let's find the property that indicates the place of death. We can search for properties related to "death" or "place of death" for this entity.

[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 correct one to use. Now, let's construct a SPARQL query to find the place of death for John F. Kennedy (wd:Q9696).

We will start with a simple query to get the place of death and then check if it returns the expected result.

[Tool]
Got 1 row and 1 column:
| ?placeOfDeath                            |
| ---------------------------------------- |
| Parkland Memorial Hospital (wd:Q3896131) |

[Assistant] The initial query returned the place of death as Parkland Memorial Hospital (wd:Q3896131). However, the question asks for the city where John F. Kennedy died. We need to find the city associated with Parkland Memorial Hospital. Let's search for the property that indicates the city or location of the hospital.

[Tool]
Top 10 property alternatives:
1. 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
2. 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
3. architectural style, also known as architecture, style of architecture (wd:P149 as wdt/p): architectural style of a structure, movement
4. 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)
5. 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
6. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdt/p): specialization of a person or organization; see P106 for the occupation, interested in
7. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
8. participant, also known as suspect, player, party, participants, has participant (wd:P710 as wdt/p): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
9. continent (wd:P30 as wdt/p): continent of which the subject is a part, located in/on physical feature
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 "located in the administrative territorial entity" (wdt:P131) seems to be the most appropriate for finding the city where Parkland Memorial Hospital is located. Let's construct a SPARQL query to get the city associated with Parkland Memorial Hospital (wd:Q3896131).

[Tool]
Got 1 row and 1 column:
| ?city              |
| ------------------ |
| Dallas (wd:Q16557) |

[Assistant]
The query returned the city of Dallas (wd:Q16557) as the location where Parkland Memorial Hospital is situated. Therefore, John F. Kennedy died in the city of Dallas.

Let's finalize the answer with the SPARQL query and the result.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
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' )
  }
}

Got 1 row and 2 columns:
| ?currency                 | ?currencyLabel |
| ------------------------- | -------------- |
| Czech koruna (wd:Q131016) | Czech koruna   |

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

[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 find the currency of the Czech Republic, we need to identify the entity representing the Czech Republic and then look for the property that indicates its currency. Let's start by searching for the entity "Czech Republic" in the knowledge graph.

[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 top result for "Czech Republic" is wd:Q213, which represents the country in Central Europe. Now, let's search for the property that indicates the currency of a country. We can use the search_property function to find relevant properties.

[Tool]
Top 10 property alternatives:
1. currency, also known as base currency, used money (wd:P38 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): currency used by item, uses
2. ISO 4217 code, also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code (wd:P498 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): identifier for a currency per ISO 4217
3. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): published price listed or paid for a product (use with unit of currency)
4. prize money, also known as money, purse, value (wd:P2121 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): amount in a specific currency
5. cash (wd:P2232 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): the value of cash and securities held by a state government
6. currency symbol description (wd:P489 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): item with description of currency symbol, notation
7. face value, also known as coin value, numeric value of coin, value of coin (wd:P3934 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): value printed on a coin, stamp or banknote by the issuing authority
8. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
9. item of property constraint, also known as claim value, value, qid, property value, item qualifier (wd:P2305 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): qualifier to define a property constraint in combination with "property constraint" (P2302)
10. numeric value, also known as numerical value, value (wd:P1181 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): numerical value of a number, a mathematical constant, or a physical constant

[Assistant] The top result for the property "currency" is wd:P38, which indicates the currency used by a country. Now, let's construct a SPARQL query to find the currency of the Czech Republic (wd:Q213) using this property.

[Tool]
Got 1 row and 1 column:
| ?currency                 |
| ------------------------- |
| Czech koruna (wd:Q131016) |

[Assistant] The currency of the Czech Republic is the Czech koruna (wd:Q131016). To provide a more complete answer, we can include the label of the currency in the query. However, since the label is optional, we will use an OPTIONAL clause to fetch it.

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

[Assistant]
The currency of the Czech Republic is the Czech koruna (wd:Q131016).

Now, I will provide the final SPARQL query and the answer to the user's question.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?episode WHERE {
  ?episode wdt:P4908 wd:Q5274359 .
}

Got 13 rows and 1 column, showing the first 5 and last 5 rows below:
| ?episode                                         |
| ------------------------------------------------ |
| The Sopranos (wd:Q1434187)                       |
| Meadowlands (wd:Q1750968)                        |
| College (wd:Q2422019)                            |
| I Dream of Jeannie Cusamano (wd:Q3435590)        |
| Boca (wd:Q3435595)                               |
| ...                                              |
| Nobody Knows Anything (wd:Q3442850)              |
| Denial, Anger, Acceptance (wd:Q3442861)          |
| Pax Soprana (wd:Q3442891)                        |
| The Legend of Tennessee Moltisanti (wd:Q3499074) |
| 46 Long (wd:Q3499084)                            |

The episodes of the first season of The Sopranos are: The Sopranos (wd:Q1434187), Meadowlands (wd:Q1750968), College (wd:Q2422019), I Dream of Jeannie Cusamano (wd:Q3435590), Boca (wd:Q3435595), A Hit Is a Hit (wd:Q3435602), Down Neck (wd:Q3436453), The Legend of Tennessee Moltisanti (wd:Q3499074), 46 Long (wd:Q3499084), Isabella (wd:Q3442841), Nobody Knows Anything (wd:Q3442850), Denial, Anger, Acceptance (wd:Q3442861), Pax Soprana (wd:Q3442891).

[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 list all episodes of the first season of the HBO television series The Sopranos, we need to identify the following elements:

1. The entity representing "The Sopranos" TV series.
2. The property that links the series to its seasons.
3. The entity representing the first season of The Sopranos.
4. The property that links the season to its episodes.
5. The entities representing the individual episodes.

Let's start by searching for the entity representing "The Sopranos" TV series.

[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 correct entity for "The Sopranos" TV series is `wd:Q23628`. Now, let's find the property that links the series to its seasons. We can use the `search_property_of_entity` function to find relevant properties for this entity.

[Tool]
Top 10 property alternatives:
1. number of seasons, also known as no. of seasons, no. of series, number of series, seasons (wd:P2437 as wdt/p): number of seasons a television or radio series has had, number of parts of this work
2. Douban film ID, also known as https://movie.douban.com/subject/, https://movie.douban.com/, https://m.douban.com, https://douban.com, Douban television series season ID (wd:P4529 as wdt/p): identifier for a film (movie) at the website Douban
3. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
4. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as wdt/p): length of time of an event or process
5. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as wdt/p): primary topic of a work (see also P180: depicts), depicts
6. 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
7. 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
8. 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
9. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as wdt/p): the narrative of the work is set in this location, significant place, depicts
10. producer, also known as music producer, record producer, produced by, film producer, creative producer (wd:P162 as wdt/p): person(s) who produced the film, musical work, theatrical produc...etc.) [for production company, use P272, video games - use P178]

No other items found

[Assistant] The property that links the series to its seasons is `number of seasons` (P2437), but this property gives us the total number of seasons rather than the specific seasons themselves. Instead, we should look for a property that directly links the series to its seasons. Let's try searching for the property "season" again, but this time without the context of the entity.

[Tool]
Top 10 property alternatives:
1. season, also known as TV series, television season, TV season, television series, series of television program (wd:P4908 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): season of a series (televison, web, podcast), part of
2. sports season of league or competition, also known as sport season, seasons of, edition of annual athletics meeting, season of sports tournament, season of sports league (wd:P3450 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): property that shows the competition of which the item is a season. Use P5138 for "season of club or team"., part of
3. number of seasons, also known as no. of seasons, no. of series, number of series, seasons (wd:P2437 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): number of seasons a television or radio series has had, number of parts of this work
4. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): qualifier to narrow down the precision of a date not fully specified by the Wikidata time datatype precision field
5. valid in period, also known as valid in season, valid for season, valid for period, valid for, time period (wd:P1264 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): time period when a statement is valid
6. season of club or team, also known as season of athletics program, season of club, season of team, sports season of club or team (wd:P5138 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): club or team that played the season
7. season starts, also known as season begins (wd:P4794 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): month or season when sports competition begins
8. season ends (wd:P6118 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): to indicate what month of the year a sports season ends
9. Douban film ID, also known as https://movie.douban.com/subject/, https://movie.douban.com/, https://m.douban.com, https://douban.com, Douban television series season ID (wd:P4529 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): identifier for a film (movie) at the website Douban
10. open period from, also known as start of opening season, start opening season, opening season, opening month, opening day of the year (wd:P3027 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): qualifier to P3025 (open days) for season when open days apply

[Assistant] The property that links the series to its seasons is `season` (P4908). Now, let's find the entity representing the first season of The Sopranos. We can use the `search_entity` function to find it.

[Tool]
Top 10 entity alternatives:
1. The Sopranos, season 1 (wd:Q5274359): season of television series
2. The 100, season 1 (wd:Q16553791): season of television series
3. The Simpsons, season 1, also known as 1st season of The Simpsons, The Simpsons (season 1), first season of The Simpsons (wd:Q461483): season of television series
4. The Haunting of Hill House, also known as The Haunting, season 1 (wd:Q43379503): 2018 American television miniseries
5. The X-Files, season 1 (wd:Q753762): first season of the American science fiction TV series
6. The Mandalorian, season 1 (wd:Q81636613): Season 1 of the Star Wars live-action television series The Mandalorian
7. The Crown, season 1 (wd:Q28612705): first season of the British-American web television series The Crown
8. The O.C., season 1 (wd:Q682788): season of television series
9. The Office, season 1, also known as The Office, US season 1 (wd:Q3465812): season of television series
10. The Punisher, season 1, also known as The Punisher (season 1) (wd:Q43263902): season of television series

[Assistant] The correct entity for the first season of The Sopranos is `wd:Q5274359`. Now, let's find the property that links the season to its episodes. We can use the `search_property_of_entity` function to find relevant properties for this entity.

[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 that links the season to its episodes is `part of the series` (P179), but this property is more commonly used to link episodes to the series itself. Instead, we should use the property `number of episodes` (P1113) to find the episodes of the season. However, this property gives us the total number of episodes rather than the specific episodes themselves.

To find the specific episodes, we need to use the property that directly links the season to its episodes. Let's try the property `episode of` (P498).

First, let's verify if `episode of` (P498) is the correct property by checking if it is used for the first season of The Sopranos.

[Tool] Got no rows and 3 columns

[Assistant]
It seems that the property `episode of` (P498) is not used for linking the first season of The Sopranos to its episodes. Let's try another approach by using the property `part of the series` (P179) to find the episodes that are part of the first season.

We will construct a SPARQL query to find all episodes that are part of the first season of The Sopranos.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that the property `part of the series` (P179) is not being used to link the episodes to the first season of The Sopranos. Let's try another property that might be used for this purpose.

We can use the property `episode of` (P498) to find the episodes of the series and then filter those that belong to the first season. However, since `episode of` did not yield any results, we need to find another way to link the episodes to the season.

Let's try the property `season` (P4908) to see if it links the episodes to the season.

[Tool]
Got 13 rows and 3 columns, showing the first 10 rows below:
| subject                                          | property           | object                               |
| ------------------------------------------------ | ------------------ | ------------------------------------ |
| College (wd:Q2422019)                            | season (wdt:P4908) | The Sopranos, season 1 (wd:Q5274359) |
| The Sopranos (wd:Q1434187)                       | season (wdt:P4908) | The Sopranos, season 1 (wd:Q5274359) |
| Meadowlands (wd:Q1750968)                        | season (wdt:P4908) | The Sopranos, season 1 (wd:Q5274359) |
| I Dream of Jeannie Cusamano (wd:Q3435590)        | season (wdt:P4908) | The Sopranos, season 1 (wd:Q5274359) |
| Boca (wd:Q3435595)                               | season (wdt:P4908) | The Sopranos, season 1 (wd:Q5274359) |
| A Hit Is a Hit (wd:Q3435602)                     | season (wdt:P4908) | The Sopranos, season 1 (wd:Q5274359) |
| Down Neck (wd:Q3436453)                          | season (wdt:P4908) | The Sopranos, season 1 (wd:Q5274359) |
| The Legend of Tennessee Moltisanti (wd:Q3499074) | season (wdt:P4908) | The Sopranos, season 1 (wd:Q5274359) |
| 46 Long (wd:Q3499084)                            | season (wdt:P4908) | The Sopranos, season 1 (wd:Q5274359) |
| Isabella (wd:Q3442841)                           | season (wdt:P4908) | The Sopranos, season 1 (wd:Q5274359) |
| ...                                              | ...                | ...                                  |

[Assistant]
The property `season` (P4908) is indeed used to link the episodes to the first season of The Sopranos. Now, we can construct a SPARQL query to list all episodes of the first season of The Sopranos.

Here is the SPARQL query:

```sparql
SELECT ?episode WHERE {
  ?episode wdt:P4908 wd:Q5274359 .
}
```

Let's execute this query to get the list of episodes.

[Tool]
Got 13 rows and 1 column, showing the first 5 and last 5 rows below:
| ?episode                                         |
| ------------------------------------------------ |
| The Sopranos (wd:Q1434187)                       |
| Meadowlands (wd:Q1750968)                        |
| College (wd:Q2422019)                            |
| I Dream of Jeannie Cusamano (wd:Q3435590)        |
| Boca (wd:Q3435595)                               |
| ...                                              |
| Nobody Knows Anything (wd:Q3442850)              |
| Denial, Anger, Acceptance (wd:Q3442861)          |
| Pax Soprana (wd:Q3442891)                        |
| The Legend of Tennessee Moltisanti (wd:Q3499074) |
| 46 Long (wd:Q3499084)                            |

[Assistant]
The SPARQL query successfully returned the list of episodes for the first season of The Sopranos. Here are the episodes:

1. The Sopranos (wd:Q1434187)
2. Meadowlands (wd:Q1750968)
3. College (wd:Q2422019)
4. I Dream of Jeannie Cusamano (wd:Q3435590)
5. Boca (wd:Q3435595)
6. A Hit Is a Hit (wd:Q3435602)
7. Down Neck (wd:Q3436453)
8. The Legend of Tennessee Moltisanti (wd:Q3499074)
9. 46 Long (wd:Q3499084)
10. Isabella (wd:Q3442841)
11. Nobody Knows Anything (wd:Q3442850)
12. Denial, Anger, Acceptance (wd:Q3442861)
13. Pax Soprana (wd:Q3442891)

Here is the final SPARQL query and the answer:

```sparql
SELECT ?episode WHERE {
  ?episode wdt:P4908 wd:Q5274359 .
}
```

Answer: The episodes of the first season of The Sopranos are listed above.

Now, I will provide the final answer using the `answer` function.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
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         |
| Morocco (wd:Q1028)       | 51         |
| Uganda (wd:Q1036)        | 29         |
| France (wd:Q142)         | 478        |
| United Kingdom (wd:Q145) | 266        |
| ...                      | ...        |
| Vietnam (wd:Q881)        | 17         |
| South Korea (wd:Q884)    | 243        |
| Afghanistan (wd:Q889)    | 14         |
| Philippines (wd:Q928)    | 21         |
| Mexico (wd:Q96)          | 86         |

The countries that have more than ten caves are: Libya, Morocco, Uganda, France, United Kingdom, Vietnam, South Korea, Afghanistan, Philippines, Mexico, and others.

[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 this question, we need to identify the following elements:

1. Countries (entities representing geographic regions).
2. Caves (entities representing natural features).
3. A property that links caves to their respective countries.
4. A way to count the number of caves per country and filter those with more than ten caves.

Let's start by searching for the property that links caves to their respective countries. We can use the `search_property` function to find a property that might represent the location or country of a cave.

[Tool]
Top 10 property alternatives:
1. Austrian Cave Register ID, also known as ACR ID (wd:P11985 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): identifier of a cave in the Austrian Cave Register
2. Cave E-Cadastre ID (wd:P3256 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): ID in the Cave E-Cadastre of Slovenia
3. Speleologi del passato ID (wd:P10567 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): identifier for a caver or a speleologist in the Italian biographic website Speleologi del passato
4. basin country, also known as basin countries (wd:P205 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): country that have drainage to/from or border the body of water
5. Caverphone (wd:P3880 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): phonetic algorithm
6. ASF KID Cave Tag Number, also known as Australian Speleological Federation KID, KID, Karst Index Database (wd:P2792 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): unique identifier for caves within the Karst Index Database of the Australian Speleological Federation
7. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): place where a statement is valid, applies to part
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): the object is a country that recognizes the subject as its citizen, country
10. country, also known as sovereign state, state, land, host country (wd:P17 as pqv/wdtn/pq/prn/ps/prv/psv/wdt/psn/pr/p/pqn): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

[Assistant]
From the list of properties, the most relevant one seems to be `wd:P17`, which represents the country where a cave is located.

Next, we need to find caves in the knowledge graph. We can use the `search_entity` function to find some examples of caves.

[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]
From the search results, the most relevant entity for caves is `wd:Q35509`, which represents the concept of a cave as a natural void under the Earth's surface.

Now, we can construct a SPARQL query to find countries that have more than ten caves. We will use the `wd:P17` property to link caves to their respective countries and then count the number of caves per country.

Let's start with a basic query to list countries and the number of caves they have:

```sparql
SELECT ?country (COUNT(?cave) AS ?caveCount)
WHERE {
  ?cave wdt:P31 wd:Q35509 .
  ?cave wdt:P17 ?country .
}
GROUP BY ?country
```

We will then add a filter to only include countries with more than ten caves.

Let's execute this query and see the results.

[Tool]
Got 82 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?country                 | ?caveCount |
| ------------------------ | ---------- |
| Libya (wd:Q1016)         | 95         |
| Morocco (wd:Q1028)       | 51         |
| Uganda (wd:Q1036)        | 29         |
| France (wd:Q142)         | 478        |
| United Kingdom (wd:Q145) | 266        |
| ...                      | ...        |
| Vietnam (wd:Q881)        | 17         |
| South Korea (wd:Q884)    | 243        |
| Afghanistan (wd:Q889)    | 14         |
| Philippines (wd:Q928)    | 21         |
| Mexico (wd:Q96)          | 86         |

[Assistant]
The SPARQL query has successfully returned the countries that have more than ten caves, along with the number of caves in each country. Here are the results:

- Libya (wd:Q1016): 95 caves
- Morocco (wd:Q1028): 51 caves
- Uganda (wd:Q1036): 29 caves
- France (wd:Q142): 478 caves
- United Kingdom (wd:Q145): 266 caves
- ...
- Vietnam (wd:Q881): 17 caves
- South Korea (wd:Q884): 243 caves
- Afghanistan (wd:Q889): 14 caves
- Philippines (wd:Q928): 21 caves
- Mexico (wd:Q96): 86 caves

These results show the countries and the number of caves they have, filtered to include only those with more than ten caves.

I will now provide the final SPARQL query and the answer to the user's question.

[Tool] Stopped generation process