Despite multiple attempts to find connections between military dogs and the Australian Defence Force, the queries did not return any results. There might not be explicit connections listed in the knowledge graph. Therefore, there is no clear evidence of an animal participating in a military operation with the Australian Defence Force based on the available data.

[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, I need to identify an animal that has been involved in military operations with the Australian Defence Force. First, I'll search for entities related to the Australian Defence Force to see if there are any animals associated with it.

[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] From the search results, the primary entity related to the Australian Defence Force is `wd:Q625657`. Now, I will search for properties related to animals participating in military operations to find out which animal was involved with the Australian Defence Force.

[Tool]
Top 10 property alternatives:
1. military unit, also known as member of military unit, unit (wd:P7779 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): smallest military unit that a person is/was in, member of
2. animal breed, also known as breed, sheep breed, horse breed, goat breed, duck breed (wd:P4743 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): subject item belongs to a specific group of domestic animals, generally given by association
3. has pet, also known as pet, keeps pet, owns pet (wd:P1429 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): pet that a person owns
4. taxon especially protected in area, also known as animal protected, plant protected, protected animal, protected plant, protected species (wd:P6569 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): species and other taxa especially protected in a area, whether s...ountries/subnational entities: use red lists properties instead.
5. target, also known as attack target, military target, target of attack (wd:P533 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): target of an attack or military operation, object of occurrence
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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): officially assigned designation for a vehicle in military service
7. military branch, also known as unit branch, service branch, formation, branch (wd:P241 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): branch to which this military unit, award, office, or person belongs, e.g. Royal Navy, part of
8. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): dissolved, abolished or demolished date, date on which the subject died, end time
9. conflict, also known as war, theatre (military), theater (military), participated in conflict, military conflict (wd:P607 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): battles, wars or other military engagements in which the person or item participated, participant in
10. mount, also known as horse, steed (wd:P3091 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): creature ridden by the subject, for instance a horse

[Assistant]
None of the properties directly indicate an animal's participation in military operations. However, `wd:P3091` (mount) seems like a reasonable property to explore further since it refers to creatures ridden by individuals, which could include animals used in military operations.

Next, I will list some examples of entities that have the `wd:P3091` property to understand how it is used and then refine my query to find animals specifically associated with the Australian Defence Force.

[Tool]
Got 1,124 rows and 3 columns, showing the first 10 rows below:
| subject                          | property          | object                  |
| -------------------------------- | ----------------- | ----------------------- |
| Napoleon (wd:Q517)               | mount (wdt:P3091) | Marengo (wd:Q176271)    |
| Muhammad (wd:Q9458)              | mount (wdt:P3091) | Qaswa (wd:Q1303124)     |
| Aiyanar (wd:Q1318266)            | mount (wdt:P3091) | horse (wd:Q726)         |
| Chandraghanta (wd:Q12425525)     | mount (wdt:P3091) | lion (wd:Q140)          |
| The Buddha (wd:Q9441)            | mount (wdt:P3091) | Kanthaka (wd:Q1138769)  |
| George Washington (wd:Q23)       | mount (wdt:P3091) | Blueskin (wd:Q19568889) |
| Pénélope Leprevost (wd:Q2120529) | mount (wdt:P3091) | Texas (wd:Q1439)        |
| Alexander the Great (wd:Q8409)   | mount (wdt:P3091) | Bucephalus (wd:Q201598) |
| Elizabeth II (wd:Q9682)          | mount (wdt:P3091) | Burmese (wd:Q1016696)   |
| Khorakha (wd:Q127257461)         | mount (wdt:P3091) | tiger (wd:Q19939)       |
| ...                              | ...               | ...                     |

[Assistant] The `wdt:P3091` property indeed represents the animals that people ride, including horses and other creatures. To find an animal that participated in military operations with the Australian Defence Force, I will construct a SPARQL query to look for entities that are both associated with the Australian Defence Force (`wd:Q625657`) and have a mount (`wdt:P3091`). Since the direct connection might not exist, I will also consider entities that are part of the Australian Defence Force and their mounts.

[Tool] Got no rows and 2 columns

[Assistant] The initial query did not return any results, indicating that there might not be a direct relationship between members of the Australian Defence Force and their mounts listed in the knowledge graph. I will refine the query to look for animals that are commonly associated with military operations and check if they have any connections to the Australian Defence Force. For instance, dogs are often used in military operations, so I will search for dogs associated with the Australian Defence Force.

[Tool] Got no rows and 1 columns

[Assistant]
The refined query also did not return any results, suggesting that there might not be explicit connections between the Australian Defence Force and animals listed in the knowledge graph. Given that dogs are commonly used in military operations, I will try another approach by searching for entities related to military dogs and checking if they have any connections to the Australian Defence Force.

I will search for entities related to military dogs and then check if they have any connections to the Australian Defence Force.

[Tool]
Top 10 entity alternatives:
1. war dog, also known as war dogs, military working dog, K-9, dogs in warfare, military dogs (wd:Q11722177): dogs used in military service
2. Conan, also known as Conan (military dog) (wd:Q76076424): Military dog, war dog
3. 1st Military Working Dog Regiment (wd:Q4596477): British military unit
4. MILITARY WORKING DOG (NAID 140106074) (wd:Q66320123): item in the National Archives and Records Administration's holdings
5. Military Working Dog Teams National Monument (wd:Q20714648): National Monument of the United States in Texas
6. Care of military working dogs (wd:Q75387805): scientific article published on 01 January 2004
7. Heatstroke in a military working dog (wd:Q38070662): scientific article published on January 1, 2013
8. [Dental care to military dogs] (wd:Q91279791): scientific article published on 01 April 2017
9. Hypovolemic shock in the military working dog (wd:Q71616147): scientific article published on 01 May 1982
10. Gastric ulcer in a military working dog (wd:Q40451555): scientific article published on September 1, 1979

[Assistant] The search for "military dog" returned several relevant entities, with the most prominent being `wd:Q11722177` (war dog). I will now construct a SPARQL query to find any connections between war dogs and the Australian Defence Force (`wd:Q625657`). Specifically, I will look for instances where a war dog is associated with the Australian Defence Force.

[Tool] Got no rows and 1 columns

[Assistant]
The query did not return any results, indicating that there might not be explicit connections between war dogs and the Australian Defence Force listed in the knowledge graph. Given this, I will broaden the search to include any entities related to military dogs and check if they have any indirect connections to the Australian Defence Force.

I will search for entities related to military dogs and then check if they have any connections to the Australian Defence Force through other properties such as `wdt:P131` (located in the administrative territorial entity) or `wdt:P101` (religion).

[Tool]
Top 10 entity alternatives:
1. war dog, also known as war dogs, military working dog, K-9, dogs in warfare, military dogs (wd:Q11722177): dogs used in military service
2. Conan, also known as Conan (military dog) (wd:Q76076424): Military dog, war dog
3. 1st Military Working Dog Regiment (wd:Q4596477): British military unit
4. MILITARY WORKING DOG (NAID 140106074) (wd:Q66320123): item in the National Archives and Records Administration's holdings
5. Military Working Dog Teams National Monument (wd:Q20714648): National Monument of the United States in Texas
6. Care of military working dogs (wd:Q75387805): scientific article published on 01 January 2004
7. Heatstroke in a military working dog (wd:Q38070662): scientific article published on January 1, 2013
8. [Dental care to military dogs] (wd:Q91279791): scientific article published on 01 April 2017
9. Hypovolemic shock in the military working dog (wd:Q71616147): scientific article published on 01 May 1982
10. Gastric ulcer in a military working dog (wd:Q40451555): scientific article published on September 1, 1979

[Assistant]
Given that the previous attempts did not yield any results, I will construct a more general query to find any entities related to military dogs and check if they have any connections to the Australian Defence Force through other properties such as `wdt:P131` (located in the administrative territorial entity) or `wdt:P101` (religion).

However, since these properties might not directly connect military dogs to the Australian Defence Force, I will focus on finding any entities related to military dogs and then manually verify if they have any indirect connections to the Australian Defence Force.

Let's start by listing entities related to military dogs and then manually inspect the results to see if there are any connections to the Australian Defence Force.

[Tool]
Got 6 rows and 3 columns:
| subject                   | property              | object                 |
| ------------------------- | --------------------- | ---------------------- |
| mercy dog (wd:Q104521427) | instance of (wdt:P31) | war dog (wd:Q11722177) |
| Antis (wd:Q16238689)      | instance of (wdt:P31) | war dog (wd:Q11722177) |
| Moustache (wd:Q16986007)  | instance of (wdt:P31) | war dog (wd:Q11722177) |
| Lucca (wd:Q23955446)      | instance of (wdt:P31) | war dog (wd:Q11722177) |
| wd:Q131366679             | instance of (wdt:P31) | war dog (wd:Q11722177) |
| wd:Q4161761               | instance of (wdt:P31) | war dog (wd:Q11722177) |

[Assistant]
The list of entities related to military dogs includes several individual dogs such as "Antis," "Moustache," and "Lucca." To find any connections to the Australian Defence Force, I will construct a SPARQL query to check if any of these dogs have any relationships with the Australian Defence Force through other properties such as `wdt:P740` (employer) or `wdt:P131` (located in the administrative territorial entity).

Let's construct a query to find any connections between these military dogs and the Australian Defence Force.

[Tool] Got no rows and 1 columns

[Assistant]
The query did not return any results, indicating that there might not be explicit connections between military dogs and the Australian Defence Force listed in the knowledge graph. Given this, I will broaden the search to include any entities related to military dogs and check if they have any indirect connections to the Australian Defence Force through other properties such as `wdt:P131` (located in the administrative territorial entity) or `wdt:P101` (religion).

Since the direct approach did not work, I will manually inspect the entities related to military dogs and see if there are any indirect connections to the Australian Defence Force. One way to do this is to check if any of these entities have connections to Australia or the Australian military.

Let's construct a query to find any connections between military dogs and Australia or the Australian military.

[Tool] Got no rows and 1 columns

[Assistant]
The query still did not return any results, indicating that there might not be explicit connections between military dogs and the Australian Defence Force or Australia listed in the knowledge graph. Given this, I will broaden the search further to include any entities related to military dogs and check if they have any indirect connections to the Australian Defence Force through other properties such as `wdt:P101` (religion) or `wdt:P17` (country).

Since the direct and indirect approaches did not work, I will manually inspect the entities related to military dogs and see if there are any indirect connections to the Australian Defence Force. One way to do this is to check if any of these entities have connections to Australia or the Australian military through other means.

Let's construct a query to find any connections between military dogs and Australia or the Australian military through other properties such as `wdt:P17` (country) or `wdt:P101` (religion).

[Tool] Got no rows and 1 columns

[Assistant]
Despite multiple attempts, the queries did not return any results, indicating that there might not be explicit connections between military dogs and the Australian Defence Force listed in the knowledge graph. Given this, I will manually inspect the entities related to military dogs and see if there are any indirect connections to the Australian Defence Force through other means.

Since the direct and indirect approaches did not work, I will search for entities related to the Australian Defence Force and check if they have any connections to military dogs through other properties such as `wdt:P131` (located in the administrative territorial entity) or `wdt:P740` (employer).

Let's construct a query to find any connections between the Australian Defence Force and military dogs through other properties such as `wdt:P131` or `wdt:P740`.

[Tool] Got no rows and 1 columns

[Assistant]
Despite multiple attempts, the queries did not return any results, indicating that there might not be explicit connections between military dogs and the Australian Defence Force listed in the knowledge graph. Given this, I will manually inspect the entities related to military dogs and see if there are any indirect connections to the Australian Defence Force through other means.

Since the direct and indirect approaches did not work, I will search for entities related to the Australian Defence Force and check if they have any connections to military dogs through other properties such as `wdt:P131` (located in the administrative territorial entity) or `wdt:P740` (employer).

Given that the knowledge graph does not seem to have explicit connections, I will conclude that there is no clear evidence of an animal participating in a military operation with the Australian Defence Force based on the available data.

I will cancel the process and explain the findings.

[Tool] Stopped generation process


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

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

[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 this question, we need to identify the main subject of the song "Smoke on the Water" by Deep Purple. We'll start by finding the entity for the song "Smoke on the Water" in the Wikidata knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Smoke on the Water: a Tribute to Deep Purple (wd:Q3963036): album by various artists
2. Smoke on the Water (wd:Q636399): original song written and composed by Deep Purple; first recorded by Deep Purple
3. Smoke on the Water (wd:Q3435148): compilation album by Deep Purple
4. Smoke on the Water (wd:Q24206648): 2014 television film directed by Dominik Graf
5. Smoke on the Water (wd:Q7545910): 1943 song by Earl Nunn and Zeke Clements
6. 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
7. Smoke on the Water (wd:Q114495787): episode of seaQuest DSV (S3 E3)
8. Smoke on the Water (wd:Q94008225): vocal track by Deep Purple; 1972 studio recording
9. Smoke on the Water (wd:Q94003891): 1973 single by Deep Purple
10. Smoke on the Water (wd:Q93971258): vocal track by Pat Boone; 1996 studio recording; cover version

[Assistant] The correct entity for the song "Smoke on the Water" by Deep Purple is `wd:Q636399`. Next, we need to find out what the main subject of the song is. We can look for properties related to the lyrics or theme of the song.

[Tool]
Top 10 property alternatives:
1. lyricist, also known as text poet, writer (of song lyrics), words by, text writer, text by (wd:P676 as p/wdt): author of song lyrics, author
2. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as wdt/p): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
3. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as p/wdt): structure of a creative work
4. composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as wdt/p): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator
5. MusicBrainz work ID, also known as composition ID (MusicBrainz), MBID work, MBW, MB work ID, MusicBrainz composition ID (wd:P435 as p/wdt/wdtn): identifier for a work per the MusicBrainz open music encyclopedia
6. 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
7. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
8. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as p/wdt): primary topic of a work (see also P180: depicts), depicts
9. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
10. SecondHandSongs work ID, also known as SecondHandSongs song ID, SHS work ID (wd:P2908 as p/wdt): identifier for a creative work, in the SecondHandSongs database about covers and samplings

No other items found

[Assistant] The property `wdt:P921` (main subject) seems appropriate to find the primary topic of the song "Smoke on the Water". Let's construct a SPARQL query to retrieve the main subject of the song.

[Tool]
Got 1 row and 1 column:
| ?subject                       |
| ------------------------------ |
| Montreux Casino (wd:Q81085137) |

[Assistant]
The main subject addressed in the Deep Purple song "Smoke on the Water" is the Montreux Casino.

Let's provide the final answer with the SPARQL query.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?movie ?title WHERE {
  VALUES ?trilogy {
    wd:Q25540859 wd:Q25540924 wd:Q6586871
  }
  ?trilogy wdt:P527 ?movie .
  ?movie wdt:P1476 ?title .
  ?movie wdt:P31 wd:Q11424 .
  FILTER ( LANG( ?title ) = "en" )
}
ORDER BY ?title

Got 9 rows and 2 columns:
| ?movie                                                       | ?title                                         |
| ------------------------------------------------------------ | ---------------------------------------------- |
| Star Wars: Episode IV – A New Hope (wd:Q17738)               | Star Wars                                      |
| Star Wars: Episode II – Attack of the Clones (wd:Q181069)    | Star Wars: Episode II – Attack of the Clones   |
| Star Wars: Episode III – Revenge of the Sith (wd:Q42051)     | Star Wars Episode III: Revenge of the Sith     |
| Star Wars: Episode I – The Phantom Menace (wd:Q165713)       | Star Wars Episode I: The Phantom Menace        |
| Star Wars: Episode VI – Return of the Jedi (wd:Q181803)      | Star Wars Episode VI: Return of the Jedi       |
| Star Wars: Episode V – The Empire Strikes Back (wd:Q181795)  | Star Wars: Episode V – The Empire Strikes Back |
| Star Wars: Episode VII – The Force Awakens (wd:Q6074)        | Star Wars: The Force Awakens                   |
| Star Wars: Episode VIII – The Last Jedi (wd:Q18486021)       | Star Wars: The Last Jedi                       |
| Star Wars: Episode IX – The Rise of Skywalker (wd:Q20977110) | Star Wars: The Rise of Skywalker               |

The titles of the Star Wars series movies are:

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

[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, I'll first need to identify the entity representing the Star Wars franchise. Then, I'll look for properties that link to individual movies within the franchise. Finally, I'll construct a query to retrieve the titles of these movies.

First, let's search for the entity representing the Star Wars franchise.

[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] The top result, `wd:Q462`, represents the Star Wars franchise. Next, I need to find properties that connect this franchise to its individual movie entries. I'll use the `search_property_of_entity` function to find relevant properties.

[Tool]
Top 10 property alternatives:
1. Open Media Database film ID, also known as OMDB film ID, OMDB film identifier, Open Media Database film identifier (wd:P3302 as wdt/p): identifier for a movie at the Open Movie Database
2. Rotten Tomatoes ID, also known as RottenTomatoes ID, Rotten Tomatoes identifier, RottenTomatoes identifier (wd:P1258 as p/wdt): identifier on Rotten Tomatoes
3. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdt/p): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
6. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
7. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as p/wdt): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name
8. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
9. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/p): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
10. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt/p): maker of this creative work or other object (where no more specific property exists)

No other items found

[Assistant]
From the list of properties, `wdt:P1476` seems to be the most relevant for getting the title of a movie. However, we need to find a property that links the Star Wars franchise to its individual movies. Let's try searching for a property that might represent the relationship between the franchise and its movies.

I'll use the `search_property` function to find a property that might represent the relationship between the Star Wars franchise and its movies.

[Tool]
Top 10 property alternatives:
1. media franchise, also known as franchise, mass media franchise, media mix, presented in media franchise (wd:P8345 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): this creative work belongs to this media franchise
2. franchisor, also known as franchise, franchiser (wd:P10680 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): one who licenses some or all of its know-how, procedures, intell...rights to sell its branded products and services to a franchisee
3. TMDB collection ID, also known as The Movie Database film series ID, The Movie Database franchise ID, themoviedb.org collection ID, themoviedb.org film series ID, themoviedb.org franchise ID (wd:P11805 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): identifier for a film series at The Movie Database
4. has spin-off, also known as spin-offs, TV spinoff, TV spin-off, TV series spinoff, TV series spin-off (wd:P2512 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): works that are spin-offs of this item
5. separated from, also known as branched from, broke from, forked from, schism from, seceded from (wd:P807 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): subject was founded or started by separating from identified object
6. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
7. IGN franchise ID (wd:P12843 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): identifier for a franchise on IGN.com
8. plot expanded in, also known as sequel, story continued in, prequel, narrative continued in (wd:P5940 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): a narrative of this creative work is expanded in another work wh...ly''' being part of the same series. For series use P179 instead
9. production company, also known as broadcasting company, theatrical troupe, theatre company, theater company, studio (wd:P272 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): company that produced this film, audio or performing arts work
10. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer

[Assistant]
The property `wdt:P8345` seems to be the most relevant for linking a media franchise to its individual works. Now, I will construct a query to retrieve the titles of the Star Wars series movies by using this property to link the Star Wars franchise (`wd:Q462`) to its movies and then retrieving their titles using `wdt:P1476`.

Let's execute this query:

```sparql
SELECT ?movie ?title WHERE {
  wd:Q462 wdt:P8345 ?movie .
  ?movie wdt:P1476 ?title .
}
```

[Tool] Got no rows and 2 columns

[Assistant]
It appears that the query did not return any results, which suggests that the property `wdt:P8345` might not be directly connecting the Star Wars franchise to its movies in the way I expected. Let's try another approach by looking for a property that connects movies to the Star Wars franchise.

I'll search for a property that might represent the relationship between a movie and its franchise.

[Tool]
Top 10 property alternatives:
1. TMDB collection ID, also known as The Movie Database film series ID, The Movie Database franchise ID, themoviedb.org collection ID, themoviedb.org film series ID, themoviedb.org franchise ID (wd:P11805 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): identifier for a film series at The Movie Database
2. media franchise, also known as franchise, mass media franchise, media mix, presented in media franchise (wd:P8345 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): this creative work belongs to this media franchise
3. franchisor, also known as franchise, franchiser (wd:P10680 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): one who licenses some or all of its know-how, procedures, intell...rights to sell its branded products and services to a franchisee
4. production company, also known as broadcasting company, theatrical troupe, theatre company, theater company, studio (wd:P272 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): company that produced this film, audio or performing arts work
5. has spin-off, also known as spin-offs, TV spinoff, TV spin-off, TV series spinoff, TV series spin-off (wd:P2512 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): works that are spin-offs of this item
6. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
7. plot expanded in, also known as sequel, story continued in, prequel, narrative continued in (wd:P5940 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): a narrative of this creative work is expanded in another work wh...ly''' being part of the same series. For series use P179 instead
8. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): series which contains the subject, part of
9. separated from, also known as branched from, broke from, forked from, schism from, seceded from (wd:P807 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): subject was founded or started by separating from identified object
10. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer

[Assistant]
The property `wdt:P179` seems to be the most appropriate for linking a movie to its series or franchise. We can use this property to find the Star Wars movies and then retrieve their titles using `wdt:P1476`.

Let's construct and execute the following query:

```sparql
SELECT ?movie ?title WHERE {
  ?movie wdt:P179 wd:Q462 .
  ?movie wdt:P1476 ?title .
}
```

This query will find all movies that are part of the Star Wars franchise and retrieve their titles.

[Tool]
Got 9 rows and 2 columns:
| ?movie                                                         | ?title                                           |
| -------------------------------------------------------------- | ------------------------------------------------ |
| Star Wars Episode II: Attack of the Clones (wd:Q1192034)       | Star Wars: Episode II Attack of the Clones       |
| Star Wars: Tarkin (wd:Q24434687)                               | Star Wars: Tarkin                                |
| Star Wars: Ahsoka (wd:Q28127814)                               | Star Wars: Ahsoka                                |
| Star Wars Episode I: The Phantom Menace (wd:Q3497005)          | Star Wars Episode I: The Phantom Menace          |
| Return of the Jedi (wd:Q3795592)                               | Star Wars Episode VI: Return of the Jedi         |
| The Empire Strikes Back (wd:Q3818036)                          | Star Wars Episode V: The Empire Strikes Back     |
| Star Wars Encyclopedia (wd:Q3968342)                           | Star Wars Encyclopedia                           |
| Star Wars Episode III: Revenge of the Sith (wd:Q4189809)       | Star Wars Episode III: Revenge of the Sith       |
| Star Wars: From the Adventures of Luke Skywalker (wd:Q6272668) | Star Wars: From the Adventures of Luke Skywalker |

[Assistant]
The query returned several items, including some books and movies. To refine the query, I will filter out non-movie entries by adding a condition to ensure that the items are instances of `wd:Q11424` (film).

Here is the refined query:

```sparql
SELECT ?movie ?title WHERE {
  ?movie wdt:P179 wd:Q462 .
  ?movie wdt:P1476 ?title .
  ?movie wdt:P31 wd:Q11424 .
}
```

This query will find all films that are part of the Star Wars franchise and retrieve their titles.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the query did not return any results, which suggests that the property `wdt:P179` might not be directly connecting the Star Wars franchise to its movies in the way I expected. Let's try another approach by listing the direct connections of the Star Wars franchise (`wd:Q462`) to see if there are other properties that might be useful.

I'll use the `list` function to find the direct connections of the Star Wars franchise.

[Tool]
Got 922 rows and 3 columns, showing the first 10 rows below:
| subject             | property                                       | object                                                                                |
| ------------------- | ---------------------------------------------- | --------------------------------------------------------------------------------------------------------- |
| Star Wars (wd:Q462) | instance of (wdt:P31)                          | brand (wd:Q431289)                                                                                |
| Star Wars (wd:Q462) | title (wdt:P1476)                              | Star Wars                                                                                |
| Star Wars (wd:Q462) | Commons category (wdt:P373)                    | Star Wars                                                                                |
| Star Wars (wd:Q462) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/Star%20Wars%20characters%20at%20Madame%20Tussaud.jpg> |
| Star Wars (wd:Q462) | short name (wdt:P1813)                         | SW                                                                                |
| Star Wars (wd:Q462) | has part(s) (wdt:P527)                         | Star Wars (wd:Q22092344)                                                                                |
| Star Wars (wd:Q462) | country of origin (wdt:P495)                   | United States (wd:Q30)                                                                                |
| Star Wars (wd:Q462) | official website (wdt:P856)                    | <https://www.starwars.com/>                                                                               |
| Star Wars (wd:Q462) | creator (wdt:P170)                             | George Lucas (wd:Q38222)                                                                                |
| Star Wars (wd:Q462) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                                                                |
| ...                 | ...                                            | ...                                                                                |

[Assistant]
The direct connections of the Star Wars franchise (`wd:Q462`) do not seem to include a property that directly links to its movies. However, I noticed that the Star Wars franchise has a property `wdt:P527` (has part(s)) which might be useful. Let's explore the objects connected via this property to see if they are the movies.

I'll use the `list` function again to find the objects connected to the Star Wars franchise via `wdt:P527`.

[Tool]
Got 1 row and 3 columns:
| subject             | property               | object                   |
| ------------------- | ---------------------- | ------------------------ |
| Star Wars (wd:Q462) | has part(s) (wdt:P527) | Star Wars (wd:Q22092344) |

[Assistant]
The `wdt:P527` property (has part(s)) points to another entity `wd:Q22092344`. Let's investigate this entity further to see if it is related to the Star Wars movies.

I'll use the `list` function to find the details of `wd:Q22092344`.

[Tool]
Got 135 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                                             | object                                                  |
| ------------------------ | ---------------------------------------------------- | ------------------------------------------------------- |
| Star Wars (wd:Q22092344) | instance of (wdt:P31)                                | film series (wd:Q24856)                                 |
| Star Wars (wd:Q22092344) | main subject (wdt:P921)                              | conflict between good and evil (wd:Q5160181)            |
| Star Wars (wd:Q22092344) | part of (wdt:P361)                                   | Star Wars (wd:Q462)                                     |
| Star Wars (wd:Q22092344) | has part(s) (wdt:P527)                               | Star Wars sequel trilogy (wd:Q6586871)                  |
| Star Wars (wd:Q22092344) | owned by (wdt:P127)                                  | Lucasfilm (wd:Q242446)                                  |
| Star Wars (wd:Q22092344) | production company (wdt:P272)                        | Lucasfilm (wd:Q242446)                                  |
| Star Wars (wd:Q22092344) | review score (wdt:P444)                              | 94%                                                     |
| Star Wars (wd:Q22092344) | fandom (wdt:P8693)                                   | The Fandom Menace (wd:Q97162828)                        |
| Star Wars (wd:Q22092344) | Rotten Tomatoes ID (wdt:P1258)                       | franchise/star_wars_saga                                |
| Star Wars (wd:Q22092344) | Library of Congress Genre/Form Terms ID (wdtn:P4953) | <http://id.loc.gov/authorities/genreForms/gf2011026609> |
| ...                      | ...                                                  | ...                                                     |

[Assistant]
The entity `wd:Q22092344` is a film series that is part of the Star Wars franchise (`wd:Q462`). This suggests that we should use `wd:Q22092344` to find the individual movies within the Star Wars series.

We can now construct a query to find the movies that are part of this film series and retrieve their titles using `wdt:P1476`.

Here is the query:

```sparql
SELECT ?movie ?title WHERE {
  ?movie wdt:P527 wd:Q22092344 .
  ?movie wdt:P1476 ?title .
  ?movie wdt:P31 wd:Q11424 .
}
```

This query will find all films that are part of the Star Wars film series and retrieve their titles.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the query did not return any results, indicating that the property `wdt:P527` might not be correctly linking the individual movies to the Star Wars film series (`wd:Q22092344`). Let's try another approach by finding the individual movies directly linked to the Star Wars franchise (`wd:Q462`) through the `wdt:P527` property.

I'll use the `list` function to find the objects connected to the Star Wars franchise via `wdt:P527` and then check if those objects are movies.

[Tool]
Got 1 row and 3 columns:
| subject             | property               | object                   |
| ------------------- | ---------------------- | ------------------------ |
| Star Wars (wd:Q462) | has part(s) (wdt:P527) | Star Wars (wd:Q22092344) |

[Assistant]
The `wdt:P527` property (has part(s)) only points to the Star Wars film series (`wd:Q22092344`), and not directly to individual movies. Given this, we should explore the individual movies within the film series (`wd:Q22092344`) using the `wdt:P527` property.

Let's construct a query to find the individual movies that are part of the Star Wars film series and retrieve their titles using `wdt:P1476`.

Here is the query:

```sparql
SELECT ?movie ?title WHERE {
  wd:Q22092344 wdt:P527 ?movie .
  ?movie wdt:P1476 ?title .
  ?movie wdt:P31 wd:Q11424 .
}
```

This query will find all films that are part of the Star Wars film series and retrieve their titles.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the query did not return any results, indicating that the property `wdt:P527` might not be correctly linking the individual movies to the Star Wars film series (`wd:Q22092344`). Let's try another approach by listing the direct connections of the Star Wars film series (`wd:Q22092344`) to see if there are other properties that might be useful.

I'll use the `list` function to find the direct connections of the Star Wars film series (`wd:Q22092344`).

[Tool]
Got 135 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                                             | object                                                  |
| ------------------------ | ---------------------------------------------------- | ------------------------------------------------------- |
| Star Wars (wd:Q22092344) | instance of (wdt:P31)                                | film series (wd:Q24856)                                 |
| Star Wars (wd:Q22092344) | main subject (wdt:P921)                              | conflict between good and evil (wd:Q5160181)            |
| Star Wars (wd:Q22092344) | part of (wdt:P361)                                   | Star Wars (wd:Q462)                                     |
| Star Wars (wd:Q22092344) | has part(s) (wdt:P527)                               | Star Wars sequel trilogy (wd:Q6586871)                  |
| Star Wars (wd:Q22092344) | owned by (wdt:P127)                                  | Lucasfilm (wd:Q242446)                                  |
| Star Wars (wd:Q22092344) | production company (wdt:P272)                        | Lucasfilm (wd:Q242446)                                  |
| Star Wars (wd:Q22092344) | review score (wdt:P444)                              | 94%                                                     |
| Star Wars (wd:Q22092344) | fandom (wdt:P8693)                                   | The Fandom Menace (wd:Q97162828)                        |
| Star Wars (wd:Q22092344) | Rotten Tomatoes ID (wdt:P1258)                       | franchise/star_wars_saga                                |
| Star Wars (wd:Q22092344) | Library of Congress Genre/Form Terms ID (wdtn:P4953) | <http://id.loc.gov/authorities/genreForms/gf2011026609> |
| ...                      | ...                                                  | ...                                                     |

[Assistant]
The direct connections of the Star Wars film series (`wd:Q22092344`) do not seem to include a property that directly links to its individual movies. However, I noticed that the Star Wars film series has a property `wdt:P527` (has part(s)) which might be useful. Let's explore the objects connected via this property to see if they are the movies.

I'll use the `list` function again to find the objects connected to the Star Wars film series via `wdt:P527`.

[Tool]
Got 4 rows and 3 columns:
| subject                  | property               | object                                    |
| ------------------------ | ---------------------- | ----------------------------------------- |
| Star Wars (wd:Q22092344) | has part(s) (wdt:P527) | Star Wars sequel trilogy (wd:Q6586871)    |
| Star Wars (wd:Q22092344) | has part(s) (wdt:P527) | Star Wars original trilogy (wd:Q25540859) |
| Star Wars (wd:Q22092344) | has part(s) (wdt:P527) | Star Wars prequel trilogy (wd:Q25540924)  |
| Star Wars (wd:Q22092344) | has part(s) (wdt:P527) | Star Wars Anthology (wd:Q51964873)        |

[Assistant]
The `wdt:P527` property (has part(s)) points to different trilogies and series within the Star Wars franchise. We need to explore these entities further to find the individual movies.

Let's start by exploring the Star Wars original trilogy (`wd:Q25540859`), prequel trilogy (`wd:Q25540924`), and sequel trilogy (`wd:Q6586871`). We can use the `list` function to find the individual movies within these trilogies.

First, let's list the objects connected to the Star Wars original trilogy (`wd:Q25540859`) via `wdt:P527`.

[Tool]
Got 3 rows and 3 columns:
| subject                                   | property               | object                                                      |
| ----------------------------------------- | ---------------------- | ----------------------------------------------------------- |
| Star Wars original trilogy (wd:Q25540859) | has part(s) (wdt:P527) | Star Wars: Episode IV – A New Hope (wd:Q17738)              |
| Star Wars original trilogy (wd:Q25540859) | has part(s) (wdt:P527) | Star Wars: Episode V – The Empire Strikes Back (wd:Q181795) |
| Star Wars original trilogy (wd:Q25540859) | has part(s) (wdt:P527) | Star Wars: Episode VI – Return of the Jedi (wd:Q181803)     |

[Assistant]
The `wdt:P527` property (has part(s)) correctly links the Star Wars original trilogy (`wd:Q25540859`) to its individual movies. We can now construct a query to retrieve the titles of these movies.

Next, let's list the objects connected to the Star Wars prequel trilogy (`wd:Q25540924`) and the Star Wars sequel trilogy (`wd:Q6586871`) via `wdt:P527` to find the individual movies within these trilogies.

First, let's list the objects connected to the Star Wars prequel trilogy (`wd:Q25540924`) via `wdt:P527`.

[Tool]
Got 3 rows and 3 columns:
| subject                                  | property               | object                                                    |
| ---------------------------------------- | ---------------------- | --------------------------------------------------------- |
| Star Wars prequel trilogy (wd:Q25540924) | has part(s) (wdt:P527) | Star Wars: Episode I – The Phantom Menace (wd:Q165713)    |
| Star Wars prequel trilogy (wd:Q25540924) | has part(s) (wdt:P527) | Star Wars: Episode III – Revenge of the Sith (wd:Q42051)  |
| Star Wars prequel trilogy (wd:Q25540924) | has part(s) (wdt:P527) | Star Wars: Episode II – Attack of the Clones (wd:Q181069) |

[Assistant]
The `wdt:P527` property (has part(s)) correctly links the Star Wars prequel trilogy (`wd:Q25540924`) to its individual movies. Now, let's list the objects connected to the Star Wars sequel trilogy (`wd:Q6586871`) via `wdt:P527` to find the individual movies within this trilogy.

Let's list the objects connected to the Star Wars sequel trilogy (`wd:Q6586871`) via `wdt:P527`.

[Tool]
Got 3 rows and 3 columns:
| subject                                | property               | object                                                       |
| -------------------------------------- | ---------------------- | ------------------------------------------------------------ |
| Star Wars sequel trilogy (wd:Q6586871) | has part(s) (wdt:P527) | Star Wars: Episode VII – The Force Awakens (wd:Q6074)        |
| Star Wars sequel trilogy (wd:Q6586871) | has part(s) (wdt:P527) | Star Wars: Episode VIII – The Last Jedi (wd:Q18486021)       |
| Star Wars sequel trilogy (wd:Q6586871) | has part(s) (wdt:P527) | Star Wars: Episode IX – The Rise of Skywalker (wd:Q20977110) |

[Assistant]
The `wdt:P527` property (has part(s)) correctly links the Star Wars sequel trilogy (`wd:Q6586871`) to its individual movies. Now that we have identified the individual movies from the original, prequel, and sequel trilogies, we can construct a query to retrieve their titles.

Here is the query:

```sparql
SELECT ?movie ?title WHERE {
  VALUES ?trilogy { wd:Q25540859 wd:Q25540924 wd:Q6586871 }
  ?trilogy wdt:P527 ?movie .
  ?movie wdt:P1476 ?title .
  ?movie wdt:P31 wd:Q11424 .
}
```

This query will find all films that are part of the Star Wars trilogies and retrieve their titles.

[Tool]
Got 13 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?movie                                                       | ?title                                       |
| ------------------------------------------------------------ | -------------------------------------------- |
| Star Wars: Episode I – The Phantom Menace (wd:Q165713)       | Star Wars Episode I: The Phantom Menace      |
| Star Wars: Episode IV – A New Hope (wd:Q17738)               | Star Wars                                    |
| Star Wars: Episode II – Attack of the Clones (wd:Q181069)    | Star Wars: Episode II – Attack of the Clones |
| Star Wars: Episode II – Attack of the Clones (wd:Q181069)    | "스타워즈 에피소드 2: 클론의 습격"@ko                     |
| Star Wars: Episode II – Attack of the Clones (wd:Q181069)    | "スター・ウォーズ エピソード2／クローンの攻撃"@ja                 |
| ...                                                          | ...                                          |
| Star Wars: Episode IX – The Rise of Skywalker (wd:Q20977110) | Star Wars: The Rise of Skywalker             |
| Star Wars: Episode III – Revenge of the Sith (wd:Q42051)     | Star Wars Episode III: Revenge of the Sith   |
| Star Wars: Episode III – Revenge of the Sith (wd:Q42051)     | "스타워즈 에피소드 3: 시스의 복수"@ko                     |
| Star Wars: Episode III – Revenge of the Sith (wd:Q42051)     | "スター・ウォーズ エピソード3／シスの復讐"@ja                   |
| Star Wars: Episode VII – The Force Awakens (wd:Q6074)        | Star Wars: The Force Awakens                 |

[Assistant]
The query returned the titles of the Star Wars series movies. Here are the titles:

1. **Star Wars Episode I: The Phantom Menace** (wd:Q165713)
2. **Star Wars** (wd:Q17738)
3. **Star Wars: Episode II – Attack of the Clones** (wd:Q181069)
4. **Star Wars: Episode V – The Empire Strikes Back** (wd:Q181795)
5. **Star Wars: Episode VI – Return of the Jedi** (wd:Q181803)
6. **Star Wars: Episode III – Revenge of the Sith** (wd:Q42051)
7. **Star Wars: Episode VII – The Force Awakens** (wd:Q6074)
8. **Star Wars: Episode VIII – The Last Jedi** (wd:Q18486021)
9. **Star Wars: Episode IX – The Rise of Skywalker** (wd:Q20977110)

To provide a clean and concise answer, I will refine the query to remove duplicate titles and ensure only the primary English titles are returned.

Here is the refined query:

```sparql
SELECT DISTINCT ?movie ?title WHERE {
  VALUES ?trilogy { wd:Q25540859 wd:Q25540924 wd:Q6586871 }
  ?trilogy wdt:P527 ?movie .
  ?movie wdt:P1476 ?title .
  ?movie wdt:P31 wd:Q11424 .
  FILTER(LANG(?title) = "en")
}
ORDER BY ?title
```

This query will find all films that are part of the Star Wars trilogies, retrieve their titles, and ensure only the primary English titles are returned.

Let's execute this refined query:

```sparql
SELECT DISTINCT ?movie ?title WHERE {
  VALUES ?trilogy { wd:Q25540859 wd:Q25540924 wd:Q6586871 }
  ?trilogy wdt:P527 ?movie .
  ?movie wdt:P1476 ?title .
  ?movie wdt:P31 wd:Q11424 .
  FILTER(LANG(?title) = "en")
}
ORDER BY ?title
```

[Tool]
Got 9 rows and 2 columns:
| ?movie                                                       | ?title                                         |
| ------------------------------------------------------------ | ---------------------------------------------- |
| Star Wars: Episode IV – A New Hope (wd:Q17738)               | Star Wars                                      |
| Star Wars: Episode II – Attack of the Clones (wd:Q181069)    | Star Wars: Episode II – Attack of the Clones   |
| Star Wars: Episode III – Revenge of the Sith (wd:Q42051)     | Star Wars Episode III: Revenge of the Sith     |
| Star Wars: Episode I – The Phantom Menace (wd:Q165713)       | Star Wars Episode I: The Phantom Menace        |
| Star Wars: Episode VI – Return of the Jedi (wd:Q181803)      | Star Wars Episode VI: Return of the Jedi       |
| Star Wars: Episode V – The Empire Strikes Back (wd:Q181795)  | Star Wars: Episode V – The Empire Strikes Back |
| Star Wars: Episode VII – The Force Awakens (wd:Q6074)        | Star Wars: The Force Awakens                   |
| Star Wars: Episode VIII – The Last Jedi (wd:Q18486021)       | Star Wars: The Last Jedi                       |
| Star Wars: Episode IX – The Rise of Skywalker (wd:Q20977110) | Star Wars: The Rise of Skywalker               |

[Assistant]
The query returned the titles of the Star Wars series movies in English. Here are the titles:

1. **Star Wars** (wd:Q17738)
2. **Star Wars: Episode II – Attack of the Clones** (wd:Q181069)
3. **Star Wars Episode III: Revenge of the Sith** (wd:Q42051)
4. **Star Wars Episode I: The Phantom Menace** (wd:Q165713)
5. **Star Wars Episode VI: Return of the Jedi** (wd:Q181803)
6. **Star Wars: Episode V – The Empire Strikes Back** (wd:Q181795)
7. **Star Wars: The Force Awakens** (wd:Q6074)
8. **Star Wars: The Last Jedi** (wd:Q18486021)
9. **Star Wars: The Rise of Skywalker** (wd:Q20977110)

Now, I will provide the final SPARQL query and the answer.

```sparql
SELECT DISTINCT ?movie ?title WHERE {
  VALUES ?trilogy { wd:Q25540859 wd:Q25540924 wd:Q6586871 }
  ?trilogy wdt:P527 ?movie .
  ?movie wdt:P1476 ?title .
  ?movie wdt:P31 wd:Q11424 .
  FILTER(LANG(?title) = "en")
}
ORDER BY ?title
```

The titles of the Star Wars series movies are:

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

[Tool] Stopped generation process


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 answer the question about when the film "Red Notice" was released, I first need to identify the correct entity for the film "Red Notice". Let's search for it in the Wikidata knowledge graph.

[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. One Piece Film: Red (wd:Q109638221): 2022 anime film
6. Red Hour Productions, also known as Red Hour Films (wd:Q7304367): American film production and distribution company
7. Daylight redirecting film (wd:Q48791781): plastic applied to window to reflect light
8. Red Rock Film Festival (wd:Q7304910): film festival
9. Red Nation Film Festival (wd:Q109229136): film festival focused on films about indigenous people
10. Red Sands (1968 film) (wd:Q124328063): 1968 Soviet film directed by Ali Hamroyev

[Assistant] The correct entity for the film "Red Notice" is `wd:Q58815001`, which is the 2021 film directed by Rawson Marshall Thurber. Now, I need to find out the release date of this film. To do this, I'll look for the property that represents the release date of a film. A common property for this purpose is `wdt:P577` (publication date). Let's check if this property is used for the film "Red Notice".

[Tool]
Got 1 row and 3 columns:
| subject                   | property                    | object               |
| ------------------------- | --------------------------- | -------------------- |
| Red Notice (wd:Q58815001) | publication date (wdt:P577) | 2021-11-12T00:00:00Z |

[Assistant] The film "Red Notice" was released on November 12, 2021. Now, I will construct a SPARQL query to retrieve this information.

[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?", I need to first identify Ella Fitzgerald's Wikidata entity. Then, I'll look for the property that represents the date of death. Finally, I'll construct a SPARQL query to retrieve the date of death for Ella Fitzgerald.

First, let's search for Ella Fitzgerald's entity in Wikidata.

[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 correct entity for Ella Fitzgerald is `wd:Q1768`, which refers to the American jazz singer.

Next, I need to find the property that represents the date of death. I will use the search_property function to find a property related to death.

[Tool]
Top 10 property alternatives:
1. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): people killed by the subject, both legal and illegal
10. posthumous name, also known as Honor Death (wd:P1786 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): name given to a person after death (East Asia)

[Assistant]
The property `wdt:P570` corresponds to the "date of death" of an individual.

Now, I will construct a SPARQL query to retrieve the date of death for Ella Fitzgerald (`wd:Q1768`).

Let's execute the query:

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

I will now 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 date of death for Ella Fitzgerald is June 15, 1996.

Now, I will provide the final SPARQL query and the answer.

[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 the question "When did World War II officially end?", I need to identify the event that marks the official end of World War II and then find the date associated with it. I'll start by searching for the entity representing World War II in Wikidata.

[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 correct entity for World War II is `wd:Q362`. Now, I need to find the property that represents the end date of an event. I'll search for properties related to "end date" in Wikidata.

[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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): (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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): earliest date at which an event could have happened. Use as qualifier for other date properties

[Assistant] The property `wdt:P582` (end time) seems to be the most appropriate for marking the end of an event like World War II. Next, I will construct a SPARQL query to find the end date of World War II using the identified entity and property.

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

[Assistant] The SPARQL query returned the date `1945-09-02T00:00:00Z`, which indicates that World War II officially ended on September 2, 1945. I will now provide this as the final answer.

[Tool] Stopped generation process