PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?animal ?animalLabel ?operation ?operationLabel WHERE {
  ?animal wdt:P31 wd:Q729 .
  ?animal wdt:P607 ?operation .
  ?operation wdt:P710 wd:Q625657 .
  OPTIONAL {
    ?animal rdfs:label ?animalLabel .
    FILTER ( LANG( ?animalLabel ) = "en" )
  }
  OPTIONAL {
    ?operation rdfs:label ?operationLabel .
    FILTER ( LANG( ?operationLabel ) = "en" )
  }
}

Despite multiple attempts to find animals that have participated in military operations with the Australian Defence Force, the queries did not return any results. This suggests that the data in Wikidata does not contain explicit information about such animals. The queries searched for animals that are part of military units, have participated in specific military operations, or have been awarded military honors associated with the Australian Defence Force, but none of these approaches yielded any results.

[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 animal participated in a military operation with the Australian Defence Force?

[Assistant]
To answer this question, we need to identify the animal that has participated in a military operation involving the Australian Defence Force. We will start by searching for the Australian Defence Force and then look for animals associated with it in a military context.

First, let's search for the Australian Defence Force.

[Tool]
Top 10 entity alternatives:
1. Australian Defence Force, also known as ADF, military of Australia, mil Australia, armed forces of Australia, Australian Armed Forces (wd:Q625657): combined military forces of Australia
2. Australian Defence Force Academy, also known as ADFA (wd:Q371370): staff college
3. Australian Defence Force ranks (wd:Q3113099): ranks of officers and enlisted personnel
4. Australian Defence Force Ensign (wd:Q12409908): flag of the Australian Defence Force
5. Australian Defence Force Cadets, also known as ADFC, Australian Service Cadet Scheme (wd:Q4824077): youth organization operated by the Australian military
6. Australian Defence Force Journal...of Australian profession of arms, also known as Australian defence force journal (wd:Q15746503): journal
7. Australian Defence Force Parachuting School, also known as Parachute Training School, PTS (wd:Q7133934): unit of the Australian Army
8. Australian Defence Force Investigative Service (wd:Q4824075): investigative arm of Australian Defence Force Police
9. Australian Defence Force Helicopter School (wd:Q48817728): military unit
10. Flags of the Australian Defence Force (wd:Q55611758)

[Assistant]
The top result is the Australian Defence Force (wd:Q625657). Now, we need to find animals that have participated in military operations with the Australian Defence Force. We will look for animals that are associated with the Australian Defence Force in some way, such as being part of a military unit or having a role in a specific operation.

Let's list the triples where the Australian Defence Force is the subject to see if we can find any relevant information about animals.

[Tool]
Got 252 rows and 3 columns, showing the first 10 rows below:
| subject                               | property                         | object                                       |
| ------------------------------------- | -------------------------------- | -------------------------------------------- |
| Australian Defence Force (wd:Q625657) | instance of (wdt:P31)            | armed forces (wd:Q772547)                    |
| Australian Defence Force (wd:Q625657) | country (wdt:P17)                | Australia (wd:Q408)                          |
| Australian Defence Force (wd:Q625657) | Commons category (wdt:P373)      | Australian Defence Force                     |
| Australian Defence Force (wd:Q625657) | inception (wdt:P571)             | 1901-01-01T00:00:00Z                         |
| Australian Defence Force (wd:Q625657) | has part(s) (wdt:P527)           | Royal Australian Navy (wd:Q741691)           |
| Australian Defence Force (wd:Q625657) | native label (wdt:P1705)         | Australian Defence Force                     |
| Australian Defence Force (wd:Q625657) | topic's main category (wdt:P910) | wd:Q8276210                                  |
| Australian Defence Force (wd:Q625657) | parent organization (wdt:P749)   | Australian Defence Organisation (wd:Q656212) |
| Australian Defence Force (wd:Q625657) | employees (wdt:P1128)            | 57982                                        |
| Australian Defence Force (wd:Q625657) | has subsidiary (wdt:P355)        | Royal Australian Navy (wd:Q741691)           |
| ...                                   | ...                              | ...                                          |

[Assistant]
From the listed triples, we don't see any direct mention of animals associated with the Australian Defence Force. However, we can try to find animals that have participated in military operations by looking for properties related to military service or participation in operations.

Let's search for properties related to "military operation" and "animal" to see if we can find any relevant properties.

First, let's search for properties related to "military operation."

[Tool]
Top 10 property alternatives:
1. military unit, also known as member of military unit, unit (wd:P7779 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): smallest military unit that a person is/was in, member of
2. conflict, also known as war, theatre (military), theater (military), participated in conflict, military conflict (wd:P607 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): battles, wars or other military engagements in which the person or item participated, participant in
3. target, also known as attack target, military target, target of attack (wd:P533 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): target of an attack or military operation, object of occurrence
4. military branch, also known as unit branch, service branch, formation, branch (wd:P241 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): branch to which this military unit, award, office, or person belongs, e.g. Royal Navy, part of
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. military designation, also known as designation, 1962 US military aerospace vehicle designation, USDOD aircraft designation, Tri-Service aerospace vehicle designation, mission design series designation (wd:P798 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): officially assigned designation for a vehicle in military service
7. has use, also known as utility, used in, used for, used as, use (wd:P366 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): main use of the subject (includes current and former usage)
8. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): location where persons or organisations were actively participating in employment, business or other work, significant place, location
9. commanded by, also known as captain, commander, commanding officer (wd:P4791 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): commander of a military unit/army/security service, operation, etc.
10. service entry, also known as commissioned, time of service entry, service introduction, launch date, in service (wd:P729 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): date or point in time on which a piece or class of equipment entered operational service, start time

[Assistant]
The property "conflict" (wd:P607) seems relevant as it indicates participation in military conflicts or operations. We can use this property to find entities that have participated in conflicts involving the Australian Defence Force.

Next, let's search for properties related to "animal" to see if there are any properties that might help us identify animals involved in military operations.

[Tool]
Top 10 property alternatives:
1. animal breed, also known as breed, sheep breed, horse breed, goat breed, duck breed (wd:P4743 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): subject item belongs to a specific group of domestic animals, generally given by association
2. has pet, also known as pet, keeps pet, owns pet (wd:P1429 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): pet that a person owns
3. mount, also known as horse, steed (wd:P3091 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): creature ridden by the subject, for instance a horse
4. taxon especially protected in area, also known as animal protected, plant protected, protected animal, protected plant, protected species (wd:P6569 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): species and other taxa especially protected in a area, whether s...ountries/subnational entities: use red lists properties instead.
5. catalog, also known as catalogue, registry, exhibition catalogue, cat. (wd:P972 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): catalog for the item, or, as a qualifier of P528 – catalog for which the 'catalog code' is valid, part of
6. catalog code, also known as astronomical catalog, registration number, register, identifier in catalog, enrollment number (wd:P528 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): catalog name of an object, use with qualifier P972
7. diel cycle, also known as diurnal or nocturnal animal, nocturnal or diurnal animal (wd:P9566 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): pattern of diel activity in animals, such as "nocturnal" (Q101029366), "diurnal" (Q4284186)
8. species kept, also known as plant taxon in botanical garden, resident animals, plant taxon in collection, resident animal species, rose varity in rose garden (wd:P1990 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): taxa, preferably species, present at a zoo, botanical garden, co...stitution. NOT specific animals, not for any geographic location, has part(s) of the class
9. mascot (wd:P822 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): mascot of an organization, e.g. a sports team or university
10. collective noun for animals, also known as term of venery (wd:P6571 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): applicable term to describe a group of such animals (e.g. "swarm" for "bee" as in "a swarm of bees")

[Assistant]
The property "mascot" (wd:P822) seems relevant as it indicates an animal that is a mascot for an organization, which could include military units. However, we need to focus on animals that have actually participated in military operations, not just mascots.

Given the properties we have, we can construct a SPARQL query to find animals that have participated in military operations involving the Australian Defence Force. We will use the "conflict" property (wd:P607) to find entities that have participated in conflicts and then check if these entities are animals.

Let's start with a simple query to find entities that have participated in conflicts involving the Australian Defence Force.

```sparql
SELECT ?entity ?entityLabel
WHERE {
  wd:Q625657 wdt:P607 ?conflict .
  ?entity wdt:P607 ?conflict .
  OPTIONAL { ?entity rdfs:label ?entityLabel . FILTER(LANG(?entityLabel) = "en") }
}
```

This query will find entities that have participated in the same conflicts as the Australian Defence Force. We will then filter these entities to find animals.

[Tool] Got no rows and 2 columns

[Assistant]
The initial query did not return any results, which suggests that there might not be any direct entities that have participated in the same conflicts as the Australian Defence Force and are also animals.

We need to refine our approach. Let's try to find animals that have been part of the Australian Defence Force or have participated in military operations in a broader sense. We can use the "instance of" property (wdt:P31) to filter for animals and then check if they have any military-related properties.

Let's construct a query to find animals that are instances of "animal" (wd:Q729) and have participated in military operations.

```sparql
SELECT ?animal ?animalLabel
WHERE {
  ?animal wdt:P31 wd:Q729 .
  ?animal wdt:P607 ?conflict .
  OPTIONAL { ?animal rdfs:label ?animalLabel . FILTER(LANG(?animalLabel) = "en") }
}
```

This query will find animals that have participated in military conflicts. We will then check if any of these animals are associated with the Australian Defence Force.

[Tool] Got no rows and 2 columns

[Assistant]
The query did not return any results, which suggests that there might not be any animals directly linked to military conflicts in the way we are querying.

Given this, we need to broaden our search to include animals that have been part of military units or have had roles in military operations, even if they are not directly linked to specific conflicts. We can use the "military unit" property (wdt:P7779) to find animals that are part of military units.

Let's construct a query to find animals that are part of military units and are associated with the Australian Defence Force.

```sparql
SELECT ?animal ?animalLabel
WHERE {
  ?animal wdt:P31 wd:Q729 .
  ?animal wdt:P7779 ?unit .
  ?unit wdt:P361 wd:Q625657 .
  OPTIONAL { ?animal rdfs:label ?animalLabel . FILTER(LANG(?animalLabel) = "en") }
}
```

This query will find animals that are part of military units that are part of the Australian Defence Force.

[Tool] Got no rows and 2 columns

[Assistant]
The query did not return any results, which suggests that there might not be any animals directly linked to military units of the Australian Defence Force in the way we are querying.

Given this, we need to consider other ways animals might be associated with military operations. One possibility is that animals might have been used in specific military operations or missions, even if they are not part of a formal military unit.

Let's try to find animals that have been used in specific military operations or missions. We can use the "participated in" property (wdt:P607) to find animals that have participated in specific events or operations, and then check if these operations are associated with the Australian Defence Force.

We will also use the "instance of" property (wdt:P31) to ensure we are looking for animals.

```sparql
SELECT ?animal ?animalLabel ?operation ?operationLabel
WHERE {
  ?animal wdt:P31 wd:Q729 .
  ?animal wdt:P607 ?operation .
  ?operation wdt:P710 wd:Q625657 .
  OPTIONAL { ?animal rdfs:label ?animalLabel . FILTER(LANG(?animalLabel) = "en") }
  OPTIONAL { ?operation rdfs:label ?operationLabel . FILTER(LANG(?operationLabel) = "en") }
}
```

This query will find animals that have participated in operations where the Australian Defence Force was involved.

[Tool] Got no rows and 4 columns

[Assistant]
The query did not return any results, which suggests that there might not be any animals directly linked to specific military operations involving the Australian Defence Force in the way we are querying.

Given the lack of results, it's possible that the data in Wikidata does not contain explicit information about animals participating in military operations with the Australian Defence Force. However, we can try one more approach by looking for animals that have been awarded military honors or have been recognized for their service, as this might indicate their involvement in military operations.

Let's search for animals that have been awarded military honors or have been recognized for their service. We can use the "award received" property (wdt:P166) to find such animals and then check if these awards are associated with the Australian Defence Force.

```sparql
SELECT ?animal ?animalLabel ?award ?awardLabel
WHERE {
  ?animal wdt:P31 wd:Q729 .
  ?animal wdt:P166 ?award .
  ?award wdt:P1411 wd:Q625657 .
  OPTIONAL { ?animal rdfs:label ?animalLabel . FILTER(LANG(?animalLabel) = "en") }
  OPTIONAL { ?award rdfs:label ?awardLabel . FILTER(LANG(?awardLabel) = "en") }
}
```

This query will find animals that have received awards that are associated with the Australian Defence Force.

[Tool] Got no rows and 4 columns

[Assistant]
The query did not return any results, which suggests that there might not be any animals in Wikidata that have been awarded military honors specifically associated with the Australian Defence Force.

Given the lack of results from multiple approaches, it appears that the data in Wikidata does not contain explicit information about animals participating in military operations with the Australian Defence Force.

Since we have exhausted the possible queries and still have not found any relevant results, I will conclude that there is no clear answer to the question based on the available data in Wikidata.

I will provide a detailed explanation and my best attempt at a SPARQL query.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?mainSubject ?mainSubjectLabel WHERE {
  wd:Q636399 wdt:P921 ?mainSubject .
  OPTIONAL {
    ?mainSubject rdfs:label ?mainSubjectLabel .
    FILTER ( LANG( ?mainSubjectLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| ?mainSubject                   | ?mainSubjectLabel |
| ------------------------------ | ----------------- |
| Montreux Casino (wd:Q81085137) | Montreux Casino   |

The SPARQL query confirms that the main subject of the song "Smoke on the Water" is the Montreux Casino. Therefore, the main subject addressed in the song is the Montreux Casino, which refers to the events that inspired the song.

Here is the final SPARQL query and answer:

```sparql
SELECT ?mainSubject ?mainSubjectLabel
WHERE {
  wd:Q636399 wdt:P921 ?mainSubject .
  OPTIONAL { ?mainSubject rdfs:label ?mainSubjectLabel . FILTER(LANG(?mainSubjectLabel) = "en") }
}
```

Answer: The main subject addressed in the Deep Purple song "Smoke on the Water" is the Montreux Casino.

<tool_call>
{"name": "answer", "arguments": {"kg": "wikidata", "sparql": "SELECT ?mainSubject ?mainSubjectLabel WHERE { wd:Q636399 wdt:P921 ?mainSubject . OPTIONAL { ?mainSubject rdfs:label ?mainSubjectLabel . FILTER(LANG(?mainSubjectLabel) = \"en\") } }", "answer": "The main subject addressed in the Deep Purple song \\"Smoke on the Water\\" is the Montreux Casino."}}
</tool_call>

[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 was the main subject addressed in the Deep Purple song “Smoke on the water”?

[Assistant]
To answer the question about the main subject addressed in the Deep Purple song "Smoke on the Water," we need to identify the song and then find information about its subject matter. Let's start by searching for the song "Smoke on the Water" in the knowledge graph.

I will use the `search_entity` function to find the entity for the song "Smoke on the Water."

[Tool]
Top 10 entity alternatives:
1. Smoke on the Water (wd:Q636399): original song written and composed by Deep Purple; first recorded by Deep Purple
2. Smoke on the Water (wd:Q3435148): compilation album by Deep Purple
3. Smoke on the Water (wd:Q24206648): 2014 television film directed by Dominik Graf
4. Smoke on the Water (wd:Q7545910): 1943 song by Earl Nunn and Zeke Clements
5. Smoke on the Water / Child in Time / Woman from Tokyo, also known as Child in Time, Woman from Tokyo, Smoke on the Water (wd:Q15931285): 1977 3-track single by Deep Purple
6. Smoke on the Water (wd:Q114495787): episode of seaQuest DSV (S3 E3)
7. Smoke on the Water (wd:Q94008225): vocal track by Deep Purple; 1972 studio recording
8. Smoke on the Water (wd:Q94003891): 1973 single by Deep Purple
9. Smoke on the Water (wd:Q93971258): vocal track by Pat Boone; 1996 studio recording; cover version
10. Smoke on the Water (wd:Q114510292): episode of Deadliest Catch (S2 E7)

[Assistant]
The top result for "Smoke on the Water" is the original song written and composed by Deep Purple (wd:Q636399). Now, let's find out what the main subject of this song is. We will look for properties related to the subject or theme of the song.

I will use the `list` function to find triples where the subject is the song "Smoke on the Water" (wd:Q636399).

[Tool]
Got 195 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                            | object                                   |
| ------------------------------- | ----------------------------------- | ---------------------------------------- |
| Smoke on the Water (wd:Q636399) | instance of (wdt:P31)               | musical work/composition (wd:Q105543609) |
| Smoke on the Water (wd:Q636399) | title (wdt:P1476)                   | Smoke on the Water                       |
| Smoke on the Water (wd:Q636399) | publication date (wdt:P577)         | 1973-01-01T00:00:00Z                     |
| Smoke on the Water (wd:Q636399) | main subject (wdt:P921)             | Montreux Casino (wd:Q81085137)           |
| Smoke on the Water (wd:Q636399) | language of work or name (wdt:P407) | English (wd:Q1860)                       |
| Smoke on the Water (wd:Q636399) | part of (wdt:P361)                  | Machine Head (wd:Q211742)                |
| Smoke on the Water (wd:Q636399) | genre (wdt:P136)                    | hard rock (wd:Q83270)                    |
| Smoke on the Water (wd:Q636399) | performer (wdt:P175)                | Deep Purple (wd:Q101505)                 |
| Smoke on the Water (wd:Q636399) | form of creative work (wdt:P7937)   | song (wd:Q7366)                          |
| Smoke on the Water (wd:Q636399) | composer (wdt:P86)                  | Jon Lord (wd:Q192114)                    |
| ...                             | ...                                 | ...                                      |

[Assistant]
From the list of triples, we can see that the main subject of the song "Smoke on the Water" (wd:Q636399) is the Montreux Casino (wd:Q81085137). This indicates that the song is primarily about the Montreux Casino, which is likely referring to the events that inspired the song.

To confirm this, let's execute a SPARQL query to retrieve the main subject of the song "Smoke on the Water."

```sparql
SELECT ?mainSubject ?mainSubjectLabel
WHERE {
  wd:Q636399 wdt:P921 ?mainSubject .
  OPTIONAL { ?mainSubject rdfs:label ?mainSubjectLabel . FILTER(LANG(?mainSubjectLabel) = "en") }
}
```

Let's execute this query.

[Tool]
Got 1 row and 2 columns:
| ?mainSubject                   | ?mainSubjectLabel |
| ------------------------------ | ----------------- |
| Montreux Casino (wd:Q81085137) | Montreux Casino   |

[Assistant]
The SPARQL query confirms that the main subject of the song "Smoke on the Water" is the Montreux Casino. Therefore, the main subject addressed in the song is the Montreux Casino, which refers to the events that inspired the song.

Here is the final SPARQL query and answer:

```sparql
SELECT ?mainSubject ?mainSubjectLabel
WHERE {
  wd:Q636399 wdt:P921 ?mainSubject .
  OPTIONAL { ?mainSubject rdfs:label ?mainSubjectLabel . FILTER(LANG(?mainSubjectLabel) = "en") }
}
```

Answer: The main subject addressed in the Deep Purple song "Smoke on the Water" is the Montreux Casino.

<tool_call>
{"name": "answer", "arguments": {"kg": "wikidata", "sparql": "SELECT ?mainSubject ?mainSubjectLabel WHERE { wd:Q636399 wdt:P921 ?mainSubject . OPTIONAL { ?mainSubject rdfs:label ?mainSubjectLabel . FILTER(LANG(?mainSubjectLabel) = \"en\") } }", "answer": "The main subject addressed in the Deep Purple song \\"Smoke on the Water\\" is the Montreux Casino."}}
</tool_call>


Failed to generate SPARQL query

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

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

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

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

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

[User] What are the titles of the Star Wars series movies?

[Assistant]
To answer the question about the titles of the Star Wars series movies, we need to identify the entity representing the Star Wars franchise and then find the movies associated with it. We can start by searching for the entity "Star Wars" in the knowledge graph.

Let's search for the entity "Star Wars" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Star Wars, also known as 1977 Star Wars (wd:Q462): epic space opera multimedia franchise created by George Lucas
2. Star Wars: Episode IV – A New Hope, also known as 1977 Star Wars, A New Hope, Star Wars, Star Wars: A New Hope, Star Wars: Episode IV (wd:Q17738): 1977 film directed by George Lucas
3. Star Wars, also known as Star Wars: The Arcade Game (wd:Q54317): 1983 video game
4. Star Wars, also known as Star Wars (Original Motion Picture Soundtrack), Star Wars soundtrack (wd:Q2715371): 1977 soundtrack album
5. Star Wars, also known as 1991 Star Wars, Game Boy Star Wars, NES Star Wars (wd:Q54320): 1991 video game
6. Star Wars (wd:Q30597407): 1977 composition by John Williams
7. Star Wars: Starfighter (wd:Q55225): 2001 video game
8. Star Wars, also known as 1987 Star Wars (wd:Q54319): 1987 video game
9. Star Wars (wd:Q20720789): album by Wilco
10. Star Wars (wd:Q3180475): Japanese manga series

[Assistant]
From the search results, the entity `wd:Q462` represents the Star Wars franchise. Next, we need to find the movies that are part of this franchise. We can look for properties that might link the franchise to its movies, such as "part of" or "instance of."

Let's search for properties that might be relevant to finding the movies in the Star Wars franchise.

[Tool]
Top 10 property alternatives:
1. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
2. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
3. applies to part, also known as when viewed as, valid for part, section, region, per (wd:P518 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): part, aspect, or form of the item to which the claim applies
4. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): object that partially overlaps with the subject in its instances, parts, or members, different from
5. proportion, also known as %, share, ratio, part, percent (wd:P1107 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): to be used as a qualifier, value must be between 0 and 1
6. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
7. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
8. depicted part, also known as part depicted, part shown, shown part (wd:P5961 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): use as qualifier for "depicts" (P180)
9. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
10. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with

[Assistant]
The property `wd:P361` (part of) seems to be the most relevant for linking the movies to the Star Wars franchise. We can use this property to find the movies that are part of the Star Wars franchise.

Let's execute a SPARQL query to find the movies that are part of the Star Wars franchise (`wd:Q462`) and retrieve their titles.

```sparql
SELECT ?movie ?title
WHERE {
  ?movie wdt:P361 wd:Q462 .
  ?movie rdfs:label ?title .
  FILTER(LANG(?title) = "en")
}
```

This query will return the movies that are part of the Star Wars franchise along with their English titles.

Let's execute this query.

[Tool]
Got 4 rows and 2 columns:
| ?movie                                 | ?title                    |
| -------------------------------------- | ------------------------- |
| Star Wars (wd:Q22092344)               | Star Wars                 |
| Star Wars: The Clone Wars (wd:Q382289) | Star Wars: The Clone Wars |
| Star Wars opening crawl (wd:Q7601176)  | Star Wars opening crawl   |
| Galactic Civil War (wd:Q926377)        | Galactic Civil War        |

[Assistant]
The initial query returned some results, but they include non-movie items like "Star Wars opening crawl" and "Galactic Civil War." We need to filter the results to only include movies. To do this, we can use the property `wdt:P31` (instance of) to ensure that the items are instances of films.

Let's refine the query to include only items that are instances of films.

```sparql
SELECT ?movie ?title
WHERE {
  ?movie wdt:P361 wd:Q462 .
  ?movie wdt:P31 wd:Q11424 .  # wd:Q11424 is the entity for "film"
  ?movie rdfs:label ?title .
  FILTER(LANG(?title) = "en")
}
```

This query will return only the movies that are part of the Star Wars franchise and are instances of films.

Let's execute this refined query.

[Tool] Got no rows and 2 columns

[Assistant]
It appears that the refined query did not return any results. This suggests that the movies in the Star Wars franchise might not be directly linked to the franchise using the `wdt:P361` property. Instead, we might need to look for a different property or approach to find the movies.

Another approach is to search for the individual episodes of the Star Wars saga and then verify if they are indeed part of the franchise. Let's search for the individual episodes and see if we can find them.

We can start by searching for the individual episodes of the Star Wars saga, such as "Episode IV - A New Hope," "Episode V - The Empire Strikes Back," etc.

Let's search for these specific movies.

[Tool]
Top 10 entity alternatives:
1. Star Wars: Episode IV – A New Hope, also known as 1977 Star Wars, A New Hope, Star Wars, Star Wars: A New Hope, Star Wars: Episode IV (wd:Q17738): 1977 film directed by George Lucas
2. Star Wars XXX: A Porn Parody, also known as Star Wars XXX: A Porn Parody Episode IV - A New Hole, Star Wars XXX - A Porn Parody (wd:Q15848933): 2012 film by Axel Braun
3. Star Wars: From the Adventures of Luke Skywalker, also known as 1976 Star Wars, Star Wars: A New Hope (wd:Q6272668): 1976 Star Wars novel by Alan Dean Foster
4. Episode IV: A New Hope (wd:Q114500213): episode of Reaper (S2 E1)
5. Star Wars: A New Hope (wd:Q124372359): 1995 Del Rey edition
6. EFOSC2 episode IV: a new hope (wd:Q68123117): scientific article published in January 2008
7. Star Wars-style holograms: a new hope? (wd:Q59038525): scientific article published in Nature
8. William Shakespeare's Star Wars: Verily, a New Hope (wd:Q18155858): play written by Ian Doescher
9. Star Wars: Episode VII – The Force Awakens, also known as Star Wars 7, Force Awakens, The Force Awakens, TFA, Star Wars VII (wd:Q6074): 2015 film directed by J. J. Abrams
10. Star Wars: Episode II – Attack of the Clones, also known as Attack of the Clones, Star Wars: Episode II -- Attack of the Clones (wd:Q181069): 2002 American epic space opera film directed by George Lucas

[Assistant]
The search for "Star Wars Episode IV - A New Hope" returned the correct entity `wd:Q17738`. This confirms that we can find the individual episodes of the Star Wars saga by searching for them specifically.

To get the titles of all the Star Wars series movies, we can search for each episode individually and then combine the results. However, a more efficient approach would be to find a property that links these episodes to the Star Wars franchise or to each other.

Let's try to find a property that links the episodes to the Star Wars franchise. One possibility is the "part of" property (`wdt:P361`), but we need to ensure that we are looking at the correct level of granularity.

Let's list the triples for the entity `wd:Q17738` (Star Wars: Episode IV – A New Hope) to see how it is linked to the Star Wars franchise.

[Tool]
Got 932 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property                     | object                                                           |
| ---------------------------------------------- | ---------------------------- | ---------------------------------------------------------------- |
| Star Wars: Episode IV – A New Hope (wd:Q17738) | instance of (wdt:P31)        | film (wd:Q11424)                                                 |
| Star Wars: Episode IV – A New Hope (wd:Q17738) | title (wdt:P1476)            | Star Wars                                                        |
| Star Wars: Episode IV – A New Hope (wd:Q17738) | publication date (wdt:P577)  | 1977-01-01T00:00:00Z                                             |
| Star Wars: Episode IV – A New Hope (wd:Q17738) | Commons category (wdt:P373)  | Star Wars: Episode IV – A New Hope                               |
| Star Wars: Episode IV – A New Hope (wd:Q17738) | part of (wdt:P361)           | National Film Registry (wd:Q823422)                              |
| Star Wars: Episode IV – A New Hope (wd:Q17738) | described at URL (wdt:P973)  | <http://www.movist.com/movist3d/movie.asp?mid=110>               |
| Star Wars: Episode IV – A New Hope (wd:Q17738) | short name (wdt:P1813)       | "Siih Náhásdlįįʼ"@nv                                             |
| Star Wars: Episode IV – A New Hope (wd:Q17738) | country of origin (wdt:P495) | United States (wd:Q30)                                           |
| Star Wars: Episode IV – A New Hope (wd:Q17738) | official website (wdt:P856)  | <https://www.starwars.com/films/star-wars-episode-iv-a-new-hope> |
| Star Wars: Episode IV – A New Hope (wd:Q17738) | genre (wdt:P136)             | action film (wd:Q188473)                                         |
| ...                                            | ...                          | ...                                                              |

[Assistant]
The list of triples for `wd:Q17738` (Star Wars: Episode IV – A New Hope) shows that it is an instance of a film and has a title. However, it does not directly link to the Star Wars franchise using the `wdt:P361` property.

Given this, we can try another approach: searching for the individual episodes and then collecting their titles. We can use the known episodes and their corresponding entities to construct a query that retrieves their titles.

Let's search for the other main episodes of the Star Wars saga and collect their entities:

1. Star Wars: Episode IV – A New Hope
2. Star Wars: Episode V – The Empire Strikes Back
3. Star Wars: Episode VI – Return of the Jedi
4. Star Wars: Episode I – The Phantom Menace
5. Star Wars: Episode II – Attack of the Clones
6. Star Wars: Episode III – Revenge of the Sith
7. Star Wars: Episode VII – The Force Awakens
8. Star Wars: Episode VIII – The Last Jedi
9. Star Wars: Episode IX – The Rise of Skywalker

We will search for these episodes and then construct a query to retrieve their titles.

Let's start by searching for the entities of these episodes.

[Tool]
Top 10 entity alternatives:
1. Star Wars: Episode V – The Empire Strikes Back, also known as Star Wars 5, The Empire Strikes Back, Star Wars V, Star Wars Episode V: The Empire Strikes Back, Star Wars: Episode V The Empire Strikes Back (wd:Q181795): 1980 American epic space opera film directed by Irvin Kershner
2. Star Wars: The Empire Strikes Back, also known as 1992 The Empire Strikes Back (wd:Q54329): 1992 video game
3. Star Wars/The Empire Strikes Bac...undtrack from the Motion Picture (wd:Q7601131): 1980 soundtrack album by John Williams, London Symphony Orchestra
4. Star Wars: The Empire Strikes Back (wd:Q54327): 1985 video game
5. Super Star Wars: The Empire Strikes Back, also known as Super Empire Strikes Back (wd:Q54330): 1993 video game
6. Classic Star Wars: The Empire Strikes Back (wd:Q3778745): 1997 novel
7. Star Wars: Episode VII – The Force Awakens, also known as Star Wars 7, Force Awakens, The Force Awakens, TFA, Star Wars VII (wd:Q6074): 2015 film directed by J. J. Abrams
8. Star Wars: Episode VIII – The Last Jedi, also known as Last Jedi, Star Wars 8, Star Wars Episode VIII, Star Wars: Episode VIII, Star Wars: The Last Jedi (wd:Q18486021): 2017 film directed by Rian Johnson
9. Impact factor wars: Episode V--the empire strikes back (wd:Q83421448): scientific article published on 01 March 2009
10. Star Wars: Episode VI – Return of the Jedi, also known as Star Wars: Episode VI Return of the Jedi, Return of the Jedi (wd:Q181803): 1983 film directed by Richard Marquand

[Assistant]
The search for "Star Wars: Episode V - The Empire Strikes Back" returned the correct entity `wd:Q181795`.

Now, let's search for the remaining episodes and collect their entities:

1. Star Wars: Episode VI – Return of the Jedi
2. Star Wars: Episode I – The Phantom Menace
3. Star Wars: Episode II – Attack of the Clones
4. Star Wars: Episode III – Revenge of the Sith
5. Star Wars: Episode VII – The Force Awakens
6. Star Wars: Episode VIII – The Last Jedi
7. Star Wars: Episode IX – The Rise of Skywalker

Let's search for these episodes one by one.

### Search for "Star Wars: Episode VI – Return of the Jedi"


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?releaseDate WHERE {
  wd:Q58815001 wdt:P577 ?releaseDate .
}

The film 'Red Notice' was released on November 12, 2021.

[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] When the film Red Notice was released?

[Assistant] To find out when the film "Red Notice" was released, we need to identify the entity for "Red Notice" and then look for the property that indicates its release date. Let's start by searching for the entity "Red Notice" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Red Notice (wd:Q58815001): 2021 film directed by Rawson Marshall Thurber
2. Interpol Red Notice, also known as Red Notice (wd:Q47612352)
3. Red Notice (wd:Q119843350): action comedy film series
4. SAS: Red Notice (wd:Q65119432): 2021 film directed by Magnus Martens
5. Bill Browder, Red Notice (wd:Q102079684): scientific article published on 31 December 1969
6. Bill Browder’s ‘Red Notice’ (wd:Q102080235)
7. Notice of redundancy (wd:Q57829991)
8. Critical notice: Darwinian reductionism (wd:Q107095554): journalArticle
9. Notice of redundant publications (wd:Q80587358): scientific article published on 17 September 2004
10. Notice of redundant publications (wd:Q82576463): scientific article published on 01 November 2010

[Assistant] The top result for "Red Notice" is the 2021 film directed by Rawson Marshall Thurber, which is the one we are looking for. Now, let's find the property that indicates the release date of this film. We can search for properties related to "release date" to find the appropriate property.

[Tool]
Top 10 property alternatives:
1. date of commercialization, also known as availability date, commercialization date, product release date, release date (wd:P5204 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): date when a product was first commercialized
2. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): date or point in time when a work was first published or released, point in time
3. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): time of the first public presentation of a subject by the creator, of information by the media, point in time
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): time when an entity begins to exist; for date of official opening use P1619, start time
5. day of regular release (wd:P6437 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): day(s) when parts of this creative work are released, aired, published, etc
6. service entry, also known as commissioned, time of service entry, service introduction, launch date, in service (wd:P729 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): date or point in time on which a piece or class of equipment entered operational service, start time
7. date of official opening, also known as launch date, launched, officially opened on, official opening, official opening time (wd:P1619 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): date or point in time a place, organization, or event officially opened, start time, inception
8. UTC date of spacecraft launch, also known as time of spacecraft launch, spacecraft launch time, spacecraft launch date, launch time, launch date (wd:P619 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): date of spacecraft launch in UTC
9. production date, also known as date of production, filming date, filming time, production date, year of production (wd:P2754 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): period of active production of (creative) work; the only date st... publication date (P577); in general cases, use inception (P571)
10. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): geographical place of publication of the edition (use 1st edition when referring to works), significant place

[Assistant]
The property "publication date" (P577) seems to be the most appropriate for finding the release date of a film. Let's construct a SPARQL query to retrieve the release date of the film "Red Notice" (Q58815001).

Here is the SPARQL query:

```sparql
SELECT ?releaseDate
WHERE {
  wd:Q58815001 wdt:P577 ?releaseDate .
}
```

Let's execute this query to get the release date of the film "Red Notice".

[Tool]
Got 1 row and 1 column:
| ?releaseDate         |
| -------------------- |
| 2021-11-12T00:00:00Z |

[Assistant]
The film "Red Notice" was released on November 12, 2021.

Here is the final SPARQL query and the answer:

```sparql
SELECT ?releaseDate
WHERE {
  wd:Q58815001 wdt:P577 ?releaseDate .
}
```

Answer: The film "Red Notice" was released on November 12, 2021.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?dateOfDeath WHERE {
  wd:Q1768 wdt:P570 ?dateOfDeath .
}

Ella Fitzgerald died on June 15, 1996.

[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] When did Ella Fitzgerald die?

[Assistant] To answer the question "When did Ella Fitzgerald die?", we need to identify the entity representing Ella Fitzgerald and the property representing the date of death. Let's start by searching for the entity "Ella Fitzgerald" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Ella Fitzgerald, also known as The First Lady of Jazz, The First Lady of Song, Lady Ella, Queen of Jazz (wd:Q1768): American jazz singer (1917–1996), singer-songwriter, recording artist, jazz musician, bandleader, film actor, conductor, composer, singer
2. Ella Fitzgerald, also known as Donnell Robinson (wd:Q100786004): American drag queen, drag queen
3. Ella Fitzgerald (wd:Q28732978): tram stop in the 19th arrondissement of Paris, France
4. Ella Fitzgerald 1937-1938, also known as 1937-1938 (wd:Q30880995): 1990 compilation album by Ella Fitzgerald
5. Ella Fitzgerald 1935-1937, also known as 1935-1937 (wd:Q30880987): 1990 compilation album by Ella Fitzgerald
6. Ella Fitzgerald 1938-1939, also known as 1938-1939 (wd:Q48833657): 1990 compilation album by Ella Fitzgerald
7. Ella Fitzgerald 1939, also known as 1939 (wd:Q48833865): 1990 compilation album by Ella Fitzgerald
8. Ella Fitzgeraldstraat (wd:Q52321478): street in Amsterdam, the Netherlands
9. Ella Fitzgeraldstraat (wd:Q19116594): street in Arnhem, the Netherlands
10. Ella Fitzgeraldplein (wd:Q19116593): street in Utrecht, the Netherlands

[Assistant] The top result, `wd:Q1768`, represents Ella Fitzgerald, the American jazz singer. Now, let's find the property that represents the date of death. We can search for properties related to "death" to find the appropriate property.

[Tool]
Top 10 property alternatives:
1. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): dissolved, abolished or demolished date, date on which the subject died, end time
2. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
3. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): total (cumulative) number of people who died since start as a direct result of an event or cause
4. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): 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 pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
6. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): person or organization who killed the subject, significant person
7. discontinued date, also known as EOL date, product discontinued, EOL, end-of-life date, end-of-life (wd:P2669 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): date that the availability of a product or service was discontin...d "service retirement" (P730) for pieces or classes of equipment, end time
8. death rate, also known as mortality rate (wd:P10091 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): the total number of persons dead per 1,000 population per year
9. number of victims of killer, also known as number of persons killed, number of killed persons, number of homicide victims, kills, kill count (wd:P1345 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): people killed by the subject, both legal and illegal
10. posthumous name, also known as Honor Death (wd:P1786 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): name given to a person after death (East Asia)

[Assistant]
The property `wd:P570` represents the date of death. Now, let's construct a SPARQL query to retrieve the date of death for Ella Fitzgerald (`wd:Q1768`).

Here is the initial SPARQL query:

```sparql
SELECT ?dateOfDeath
WHERE {
  wd:Q1768 wdt:P570 ?dateOfDeath .
}
```

Let's execute this query to get the date of death for Ella Fitzgerald.

[Tool]
Got 1 row and 1 column:
| ?dateOfDeath         |
| -------------------- |
| 1996-06-15T00:00:00Z |

[Assistant]
The SPARQL query returned the date of death for Ella Fitzgerald as `1996-06-15T00:00:00Z`. This is the date when Ella Fitzgerald died.

Now, let's format the answer and provide it to the user.

The final SPARQL query and answer are:

```sparql
SELECT ?dateOfDeath
WHERE {
  wd:Q1768 wdt:P570 ?dateOfDeath .
}
```

Ella Fitzgerald died on June 15, 1996.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?endDate WHERE {
  wd:Q362 wdt:P582 ?endDate .
}

World War II officially ended on September 2, 1945.

[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] When did World War II officially end?

[Assistant] To answer when World War II officially ended, we need to identify the entity for World War II and then look for the property that indicates its end date. Let's start by searching for the entity representing World War II.

[Tool]
Top 10 entity alternatives:
1. World War II, also known as 2nd World War, WWII, WW II, WW2, WW 2 (wd:Q362): 1939–1945 global conflict
2. Theatre of War, also known as World War II, World War II RTS: Theatre of War (wd:Q2631997): 2006 video game developed by 1C Company
3. Tyneside Scottish, also known as World War II (wd:Q7860541): military unit
4. World War II (wd:Q104869378): series of books written by American author Chris Lynch
5. World War II (wd:Q131576266): online exhibition from Indiana State Library
6. World War II (wd:Q110874375): US magazine
7. World War II, also known as mbcwwii, The Military Book Club's World War II (wd:Q15053459): 1995 edition by the Military Book Club
8. World War II, also known as Second World War (wd:Q105750294): scenario in the video game Civilization II
9. World War II, also known as The Military Book Club's World War II (wd:Q15053456): book by John Ellis, 1993 edition
10. Theatre of War, also known as World War II (wd:Q108371810): video game series

[Assistant] The top result for "World War II" is the correct entity (wd:Q362). Now, let's find the property that indicates the end date of World War II. We can search for properties related to "end" or "end date."

[Tool]
Top 10 property alternatives:
1. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
2. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): dissolved, abolished or demolished date, date on which the subject died, end time
4. latest date, also known as terminus ante quem, prior to, on or before this date, no later than, max date (wd:P1326 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): latest possible time that something could have occurred. Use as qualifier for other date properties
5. earliest end date, also known as end date (earliest) (wd:P8554 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): (qualifier) earliest date on which the statement could have begun to no longer be true, earliest date, end time
6. work period (end), also known as floruit end, floruit (end of work), flourished (end), retirement, work ends (wd:P2032 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): end of period during which a person or group flourished (fl. = "floruit") in their professional activity, end time, floruit
7. date of official closure, also known as closed, official closure, date of closure, closure date, closing date (wd:P3999 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): date of official closure of a building or event, end time
8. end of covered period, also known as coverage end date, covered period end (wd:P7104 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): end of period covered by an archive set, a historical book, or a collection
9. end period, also known as until period (wd:P3416 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): last period in which the statement is still valid (including the period-value)
10. earliest date, also known as no earlier than, terminus post quem, start date (earliest), on or after this date, minimum date (wd:P1319 as pqv/psn/psv/pqn/prn/pq/prv/p/ps/wdt/wdtn/pr): earliest date at which an event could have happened. Use as qualifier for other date properties

[Assistant] The property "dissolved, abolished or demolished date" (wd:P576) seems to be the most appropriate for indicating the end date of World War II. Let's construct a SPARQL query to retrieve the end date of World War II using this property.

[Tool] Got no rows and 1 columns

[Assistant] It appears that the property `wdt:P576` (dissolved, abolished or demolished date) does not provide the end date for World War II. Let's try another property, such as `wdt:P582` (end time), which might be more suitable for this context.

[Tool]
Got 1 row and 1 column:
| ?endDate             |
| -------------------- |
| 1945-09-02T00:00:00Z |

[Assistant]
The SPARQL query using the property `wdt:P582` (end time) successfully retrieved the end date of World War II, which is September 2, 1945.

Here is the final SPARQL query and the answer to the question:

```sparql
SELECT ?endDate WHERE { wd:Q362 wdt:P582 ?endDate . }
```

World War II officially ended on September 2, 1945.

[Tool] Stopped generation process