PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?movie ?title WHERE {
  VALUES ?movie {
    wd:Q17738 wd:Q181795 wd:Q181803 wd:Q165713 wd:Q181069 wd:Q42051 wd:Q6074 wd:Q18486021 wd:Q20977110
  }
  ?movie wdt:P1476 ?title .
}

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                 |

The titles of the Star Wars series movies are: Star Wars: Episode IV - A New Hope, Star Wars: Episode V - The Empire Strikes Back, Star Wars: Episode VI - Return of the Jedi, Star Wars: Episode I - The Phantom Menace, Star Wars: Episode II - Attack of the Clones, Star Wars: Episode III - Revenge of the Sith, Star Wars: Episode VII - The Force Awakens, Star Wars: Episode VIII - The Last Jedi, and Star Wars: Episode IX - 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 user's question about the titles of the Star Wars series movies, I need to identify the entity representing the Star Wars franchise and then find the movies associated with it. After identifying the movies, I will retrieve their titles.

First, I will 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 will look for properties that might link the franchise to its movies. I will search for properties related to "movies" or "films" for the Star Wars franchise entity.

[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 p/wdt): 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 p/wdt): 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 p/wdt): 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 p/wdt): maker of this creative work or other object (where no more specific property exists)

No other items found

[Assistant]
None of the properties listed directly link the Star Wars franchise to its movies. However, I can try searching for the movies themselves by using the property "instance of" (`wdt:P31`) and looking for entities that are instances of "film" (`wd:Q11424`). I will also filter these results to include only those that are part of the Star Wars franchise.

I will start by finding all films that are part of the Star Wars franchise.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the query did not return any results. This might be because the relationship between the Star Wars franchise and its movies is not directly represented using the `wdt:P179` (part of) property. Instead, I will try to find the movies by looking for entities that have "Star Wars" in their labels and are instances of "film".

Let's try this approach.

[Tool]
Got 460 rows and 1 column, showing the first 5 and last 5 rows below:
| ?movie                                              |
| --------------------------------------------------- |
| Os Trapalhões na Guerra dos Planetas (wd:Q10342113) |
| Star Wars: SC 38 – Reimagined (wd:Q108730566)       |
| Star Wars: SC 38 – Reimagined (wd:Q108730566)       |
| Star Wars: Origins (wd:Q109422005)                  |
| Star Wars: Origins (wd:Q109422005)                  |
| ...                                                 |
| Battle Star Wars (wd:Q99932549)                     |
| Battle Star Wars (wd:Q99932549)                     |
| Battle Star Wars (wd:Q99932549)                     |
| Battle Star Wars (wd:Q99932549)                     |
| Battle Star Wars (wd:Q99932549)                     |

[Assistant]
The query returned a large number of results, including many that are not part of the official Star Wars series. To refine the results, I will add a filter to ensure that the movies are part of the main Star Wars saga. I will use the property `wdt:P179` (part of) to check if the movies are part of the Star Wars franchise.

Let's try this refined query.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the refined query still did not return any results. This suggests that the relationship between the Star Wars franchise and its movies might be represented differently in the knowledge graph.

Another approach is to search for the specific episodes of the Star Wars series, which are often referred to as "Episode I," "Episode II," etc. I will search for these episodes and retrieve their titles.

Let's try this approach.

[Tool]
Got 29 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?movie                                                | ?title                                 |
| ----------------------------------------------------- | -------------------------------------- |
| Star Wars: SC 38 – Reimagined (wd:Q108730566)         | Star Wars: SC 38 – Reimagined          |
| Star Wars: Origins (wd:Q109422005)                    | Star Wars: Origins                     |
| Lego Star Wars: Summer Vacation (wd:Q115818998)       | Lego Star Wars: Summer Vacation        |
| LEGO Star Wars: The Padawan Menace (wd:Q11752288)     | LEGO Star Wars: The Padawan Menace     |
| Lego Star Wars: The Empire Strikes Out (wd:Q11753786) | Lego Star Wars: The Empire Strikes Out |
| ...                                                   | ...                                    |
| Saving Star Wars (wd:Q7428298)                        | Saving Star Wars                       |
| Star Wars: Revelations (wd:Q7601101)                  | Star Wars: Revelations                 |
| Star Wars Gangsta Rap (wd:Q7601132)                   | Star Wars Gangsta Rap                  |
| Star Wars Uncut (wd:Q7601171)                         | Star Wars Uncut                        |
| Battle Star Wars (wd:Q99932549)                       | Battle Star Wars                       |

[Assistant]
The query returned a list of movies with "Star Wars" in their titles, but it includes many unofficial or fan-made works. To focus on the main Star Wars series movies, I will filter the results to include only those that are part of the official Star Wars saga. I will use the property `wdt:P179` (part of) to check if the movies are part of the Star Wars franchise and also filter by the episode numbers.

Let's try this refined query.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the query with the `wdt:P179` property and the filter for "episode" in the title did not return any results. This suggests that the official Star Wars movies might not be linked to the franchise in the way I expected.

Another approach is to search for the specific episodes by their common names, such as "A New Hope," "The Empire Strikes Back," etc. I will search for these specific titles and retrieve their corresponding entities.

Let's try this approach.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that even the specific titles did not return any results. This suggests that the titles might be stored slightly differently in the knowledge graph. I will try a more flexible approach by searching for the titles without the "Star Wars:" prefix and see if that helps.

Let's try this approach.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that even the more flexible approach did not return any results. This suggests that the titles might be stored in a different format or there might be additional properties or qualifiers that need to be considered.

Given the complexity and the lack of success with the previous approaches, I will take a different strategy. I will search for the specific entities representing the main Star Wars movies and then retrieve their titles.

Let's search for the specific entities representing the main Star Wars movies and retrieve their titles using their known IRIs.

[Tool]
Got 2 rows and 2 columns:
| ?movie                                         | ?title          |
| ---------------------------------------------- | --------------- |
| Star Wars: Episode IV – A New Hope (wd:Q17738) | Star Wars       |
| Vita Nuova (wd:Q18084)                         | "Vita nuova"@it |

[Assistant]
It seems that the query returned only two results, and one of them is not a Star Wars movie. This indicates that the IRIs I used might not be correct or complete. I will need to verify the IRIs for the main Star Wars movies.

Let's search for the specific entities representing the main Star Wars movies and verify their IRIs.

I will search for the entities representing "A New Hope," "The Empire Strikes Back," "Return of the Jedi," "The Phantom Menace," "Attack of the Clones," "Revenge of the Sith," "The Force Awakens," "The Last Jedi," and "The Rise of Skywalker" and retrieve their IRIs and titles.

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

[Assistant]
The correct entity for "Star Wars: Episode IV - A New Hope" is `wd:Q17738`. Now, I will search for the entities representing the other main Star Wars movies and verify their IRIs.

Let's search for the entities representing "The Empire Strikes Back," "Return of the Jedi," "The Phantom Menace," "Attack of the Clones," "Revenge of the Sith," "The Force Awakens," "The Last Jedi," and "The Rise of Skywalker."

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

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

Next, I will search for the entity representing "Star Wars: Episode VI - Return of the Jedi."

[Tool]
Top 10 entity alternatives:
1. Star Wars: Episode VI – Return of the Jedi, also known as Star Wars: Episode VI Return of the Jedi, Return of the Jedi (wd:Q181803): 1983 film directed by Richard Marquand
2. Return of the Jedi, also known as Star Wars Episode VI: Return of the Jedi (wd:Q4350761): soundtrack
3. Star Wars: Episode VIII – The Last Jedi, also known as Last Jedi, Star Wars 8, Star Wars Episode VIII, Star Wars: Episode VIII, Star Wars: The Last Jedi (wd:Q18486021): 2017 film directed by Rian Johnson
4. Return of the Jedi: Death Star Battle, also known as Star Wars: Return of the Jedi: Death Star Battle, Star Wars: Return of the Jedi - Death Star Battle (wd:Q54331): 1983 video game
5. Star Wars: Return of the Jedi, also known as Return of the Jedi (wd:Q54334): 1984 arcade video game
6. Super Star Wars: Return of the Jedi, also known as Super Return of the Jedi (wd:Q54335): 1994 video game
7. Star Wars: Return of the Jedi: Ewok Adventure (wd:Q54332): cancelled Star Wars video game
8. Carotid wars episode VI: Return of the standard (wd:Q38138851): scientific article
9. Star Wars: Episode III – Revenge of the Sith, also known as Star Wars Episode III, Star Wars: Episode III -- Revenge of the Sith, Star Wars: Revenge of the Sith (wd:Q42051): 2005 American epic space opera film directed by George Lucas
10. Star Wars: Episode II – Attack of the Clones, also known as Attack of the Clones, Star Wars: Episode II -- Attack of the Clones (wd:Q181069): 2002 American epic space opera film directed by George Lucas

[Assistant]
The correct entity for "Star Wars: Episode VI - Return of the Jedi" is `wd:Q181803`.

Next, I will search for the entity representing "Star Wars: Episode I - The Phantom Menace."

[Tool]
Top 10 entity alternatives:
1. Star Wars: Episode I – The Phantom Menace, also known as The Phantom Menace, Star Wars: Episode I -- The Phantom Menace, Star Wars Episode I - The Phantom Menace, Star Wars Episode I, Star Wars: Episode I - The Phantom Menace (wd:Q165713): 1999 film directed by George Lucas
2. Star Wars: Episode I – The Phantom Menace, also known as Star Wars Episode I, Star Wars Episode I - The Phantom Menace, The Phantom Menace, Star Wars: Episode I - The Phantom Menace, Star Wars: Episode I -- The Phantom Menace (wd:Q165713): 1999 film directed by George Lucas
3. Star Wars: Episode I – The Phantom Menace (wd:Q54338): 1999 video game
4. Star Wars: Episode I – The Phant...iginal Motion Picture Soundtrack (wd:Q1402453): 1999 soundtrack album by John Williams
5. Star Wars Episode I: The Phantom Menace (wd:Q3497005): 1999 Star Wars novel by Terry Brooks
6. Star Wars Episode I: The Phantom Menace (wd:Q106713262): 1999 Star Wars novel by Patricia Wrede
7. Star Wars: Episode III – Revenge of the Sith, also known as Star Wars Episode III, Star Wars: Episode III -- Revenge of the Sith, Star Wars: Revenge of the Sith (wd:Q42051): 2005 American epic space opera film directed by George Lucas
8. Star Wars: Episode II – Attack of the Clones, also known as Attack of the Clones, Star Wars: Episode II -- Attack of the Clones (wd:Q181069): 2002 American epic space opera film directed by George Lucas
9. Star Wars: Episode II – Attack of the Clones, also known as Attack of the Clones, Star Wars: Episode II -- Attack of the Clones (wd:Q181069): 2002 American epic space opera film directed by George Lucas
10. Star Wars: Episode IX – The Rise of Skywalker, also known as Rise of Skywalker, Star Wars Episode IX, Star Wars: Episode IX, Star Wars: Episode IX – The Rise of Skywalker, Star Wars: The Rise of Skywalker (wd:Q20977110): 2019 film directed by J. J. Abrams

[Assistant]
The correct entity for "Star Wars: Episode I - The Phantom Menace" is `wd:Q165713`.

Next, I will search for the entity representing "Star Wars: Episode II - Attack of the Clones."

[Tool]
Top 10 entity alternatives:
1. Star Wars: Episode II – Attack of the Clones, also known as Attack of the Clones, Star Wars: Episode II -- Attack of the Clones (wd:Q181069): 2002 American epic space opera film directed by George Lucas
2. Star Wars: Episode II – Attack of the Clones, also known as Attack of the Clones, Star Wars: Episode II -- Attack of the Clones (wd:Q181069): 2002 American epic space opera film directed by George Lucas
3. Star Wars: Episode II – Attack of the Clones (wd:Q54844): 2002 video game
4. Star Wars: Episode II – Attack o...iginal Motion Picture Soundtrack (wd:Q1604048): 2002 soundtrack album by John Williams
5. Star Wars Episode II: Attack of the Clones (wd:Q1192034): 2002 novel by RA Salvatore
6. Star Wars: Episode III – Revenge of the Sith, also known as Star Wars Episode III, Star Wars: Episode III -- Revenge of the Sith, Star Wars: Revenge of the Sith (wd:Q42051): 2005 American epic space opera film directed by George Lucas
7. Star Wars: Episode III – Revenge of the Sith (wd:Q54846): 2005 video game
8. Star Wars: Episode III – Revenge...iginal Motion Picture Soundtrack (wd:Q3022591): 2005 soundtrack album by John Williams
9. Star Wars: Episode VI – Return of the Jedi, also known as Star Wars: Episode VI Return of the Jedi, Return of the Jedi (wd:Q181803): 1983 film directed by Richard Marquand
10. Star Wars: Episode IX – The Rise of Skywalker, also known as Rise of Skywalker, Star Wars Episode IX, Star Wars: Episode IX, Star Wars: Episode IX – The Rise of Skywalker, Star Wars: The Rise of Skywalker (wd:Q20977110): 2019 film directed by J. J. Abrams

[Assistant]
The correct entity for "Star Wars: Episode II - Attack of the Clones" is `wd:Q181069`.

Next, I will search for the entity representing "Star Wars: Episode III - Revenge of the Sith."

[Tool]
Top 10 entity alternatives:
1. Star Wars: Episode III – Revenge of the Sith, also known as Star Wars Episode III, Star Wars: Episode III -- Revenge of the Sith, Star Wars: Revenge of the Sith (wd:Q42051): 2005 American epic space opera film directed by George Lucas
2. Star Wars: Episode III – Revenge of the Sith (wd:Q54846): 2005 video game
3. Star Wars: Episode III – Revenge...iginal Motion Picture Soundtrack (wd:Q3022591): 2005 soundtrack album by John Williams
4. Star Wars Episode III: Revenge of the Sith (wd:Q4189809): 2005 novel by Matthew Stover
5. Star Wars: Episode II – Attack of the Clones, also known as Attack of the Clones, Star Wars: Episode II -- Attack of the Clones (wd:Q181069): 2002 American epic space opera film directed by George Lucas
6. Star Wars: Episode II – Attack of the Clones, also known as Attack of the Clones, Star Wars: Episode II -- Attack of the Clones (wd:Q181069): 2002 American epic space opera film directed by George Lucas
7. Star Wars: Episode VI – Return of the Jedi, also known as Star Wars: Episode VI Return of the Jedi, Return of the Jedi (wd:Q181803): 1983 film directed by Richard Marquand
8. Star Wars: Episode IX – The Rise of Skywalker, also known as Rise of Skywalker, Star Wars Episode IX, Star Wars: Episode IX, Star Wars: Episode IX – The Rise of Skywalker, Star Wars: The Rise of Skywalker (wd:Q20977110): 2019 film directed by J. J. Abrams
9. Star Wars: Episode II – Attack of the Clones (wd:Q54844): 2002 video game
10. Star Wars Galaxies: Episode III Rage of the Wookiees (wd:Q55281): 2005 addon for the video game Star Wars Galaxies

[Assistant]
The correct entity for "Star Wars: Episode III - Revenge of the Sith" is `wd:Q42051`.

Next, I will search for the entity representing "Star Wars: Episode VII - The Force Awakens."

[Tool]
Top 10 entity alternatives:
1. Star Wars: Episode VII – The Force Awakens, also known as Star Wars 7, Force Awakens, The Force Awakens, TFA, Star Wars VII (wd:Q6074): 2015 film directed by J. J. Abrams
2. Star Wars: Episode VII - The For...e Story Awakens - The Table Read (wd:Q24631838): 2016 documentary film
3. Star Wars: Episode VIII – The Last Jedi, also known as Last Jedi, Star Wars 8, Star Wars Episode VIII, Star Wars: Episode VIII, Star Wars: The Last Jedi (wd:Q18486021): 2017 film directed by Rian Johnson
4. Star Wars: The Force Awakens – Original Motion Picture Soundtrack (wd:Q21772317): 2015 soundtrack album by John Williams
5. Star Wars: The Force Awakens (wd:Q23011443): novel by Alan Dean Foster
6. Star Wars: The Force Unleashed, also known as Star Wars - The Force Unleashed, Star Wars The Force Unleashed (wd:Q840167): 2008 video game
7. Lego Star Wars: The Force Awakens, also known as Lego Star Wars 7, Lego Star Wars: TFA, LEGO Star Wars: The Force Awakens (wd:Q22570384): 2016 video game
8. The Totally Rad Show 746: Disney...ucasfilm - Star Wars Episode VII (wd:Q126782515)
9. Journey to Star Wars: The Force Awakens (wd:Q22906023): Disney/Lucasfilm publishing initiative
10. Star Wars: Episode I – The Phantom Menace, also known as The Phantom Menace, Star Wars: Episode I -- The Phantom Menace, Star Wars Episode I - The Phantom Menace, Star Wars Episode I, Star Wars: Episode I - The Phantom Menace (wd:Q165713): 1999 film directed by George Lucas

[Assistant]
The correct entity for "Star Wars: Episode VII - The Force Awakens" is `wd:Q6074`.

Next, I will search for the entity representing "Star Wars: Episode VIII - The Last Jedi."

[Tool]
Top 10 entity alternatives:
1. Star Wars: Episode VIII – The Last Jedi, also known as Last Jedi, Star Wars 8, Star Wars Episode VIII, Star Wars: Episode VIII, Star Wars: The Last Jedi (wd:Q18486021): 2017 film directed by Rian Johnson
2. Star Wars: Episode VI – Return of the Jedi, also known as Star Wars: Episode VI Return of the Jedi, Return of the Jedi (wd:Q181803): 1983 film directed by Richard Marquand
3. Star Wars: The Last Jedi – Original Motion Picture Soundtrack, also known as Star Wars: The Last Jedi (album) (wd:Q46252685): 2017 soundtrack album by John Williams
4. Beyond the Last Jedi – Uncomprom...ope in the Politics of Star Wars (wd:Q128765500): scholarly article
5. Star Wars: The Last of the Jedi (wd:Q7601109): series of Star Wars novels
6. Star Wars: The Clone Wars – Jedi Alliance (wd:Q54848): 2008 video game
7. Star Wars: The Last Jedi teaser poster (wd:Q29054050): film poster of 2017 film 'Star Wars: The Last Jedi'
8. Star Wars: Episode I – The Phantom Menace, also known as The Phantom Menace, Star Wars: Episode I -- The Phantom Menace, Star Wars Episode I - The Phantom Menace, Star Wars Episode I, Star Wars: Episode I - The Phantom Menace (wd:Q165713): 1999 film directed by George Lucas
9. Star Wars: Episode I – The Phantom Menace, also known as Star Wars Episode I, Star Wars Episode I - The Phantom Menace, The Phantom Menace, Star Wars: Episode I - The Phantom Menace, Star Wars: Episode I -- The Phantom Menace (wd:Q165713): 1999 film directed by George Lucas
10. Star Wars: Episode VII – The Force Awakens, also known as Star Wars 7, Force Awakens, The Force Awakens, TFA, Star Wars VII (wd:Q6074): 2015 film directed by J. J. Abrams

[Assistant]
The correct entity for "Star Wars: Episode VIII - The Last Jedi" is `wd:Q18486021`.

Finally, I will search for the entity representing "Star Wars: Episode IX - The Rise of Skywalker."

[Tool]
Top 10 entity alternatives:
1. Star Wars: Episode IX – The Rise of Skywalker, also known as Rise of Skywalker, Star Wars Episode IX, Star Wars: Episode IX, Star Wars: Episode IX – The Rise of Skywalker, Star Wars: The Rise of Skywalker (wd:Q20977110): 2019 film directed by J. J. Abrams
2. Star Wars Episode IX: The Rise of Skywalker (wd:Q87459697): 2020 novel by Rae Carson
3. Star Wars: The Rise of Skywalker (wd:Q79318818): 2019 soundtrack by John Williams
4. Star Wars: Episode III – Revenge of the Sith, also known as Star Wars Episode III, Star Wars: Episode III -- Revenge of the Sith, Star Wars: Revenge of the Sith (wd:Q42051): 2005 American epic space opera film directed by George Lucas
5. Star Wars: Episode II – Attack of the Clones, also known as Attack of the Clones, Star Wars: Episode II -- Attack of the Clones (wd:Q181069): 2002 American epic space opera film directed by George Lucas
6. Star Wars: Episode II – Attack of the Clones, also known as Attack of the Clones, Star Wars: Episode II -- Attack of the Clones (wd:Q181069): 2002 American epic space opera film directed by George Lucas
7. Star Wars: Episode VI – Return of the Jedi, also known as Star Wars: Episode VI Return of the Jedi, Return of the Jedi (wd:Q181803): 1983 film directed by Richard Marquand
8. Star Wars: Episode III – Revenge of the Sith (wd:Q54846): 2005 video game
9. Star Wars: Episode II – Attack of the Clones (wd:Q54844): 2002 video game
10. Star Wars: Episode III – Revenge...iginal Motion Picture Soundtrack (wd:Q3022591): 2005 soundtrack album by John Williams

[Assistant]
The correct entity for "Star Wars: Episode IX - The Rise of Skywalker" is `wd:Q20977110`.

Now that I have verified the IRIs for all the main Star Wars movies, I will construct a SPARQL query to retrieve their titles.

Here is the final SPARQL query:

[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, we need to identify the entity for the film "Red Notice" and then find the property that indicates its release date.

### Step 1: Identify the Entity for "Red Notice"
First, let's search for the entity representing the film "Red Notice" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Red Notice (wd:Q58815001): 2021 film directed by Rawson Marshall Thurber
2. Interpol Red Notice, also known as Red Notice (wd:Q47612352)
3. Red Notice (wd:Q119843350): action comedy film series
4. SAS: Red Notice (wd:Q65119432): 2021 film directed by Magnus Martens
5. 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 top result for "Red Notice" is `wd:Q58815001`, which is described as the 2021 film directed by Rawson Marshall Thurber. This seems to be the correct entity for the film "Red Notice" we are interested in.

### Step 2: Identify the Property for Release Date
Next, we need to find the property that indicates the release date of the film. We can search for properties related to "release date" to find the appropriate property.

Let's search for properties related to "release date" in Wikidata.

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

[Assistant]
The property `wd:P577` (publication date) seems to be the most appropriate for the release date of a film. Let's use this property to find the release date of the film "Red Notice" (`wd:Q58815001`).

### Step 3: Construct and Execute the SPARQL Query
Now, we can construct a SPARQL query to retrieve the release date of the film "Red Notice".

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

Let's execute this query to get the release date.

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

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

### Final Answer
Here is the final SPARQL query and the answer to the question:

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

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

[Tool] Stopped generation process


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

Ella Fitzgerald died on June 15, 1996.

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

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

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

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

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

[User] When did Ella Fitzgerald die?

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

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

[Assistant] The top result, `wd:Q1768`, corresponds to the American jazz singer Ella Fitzgerald. Now, let's find the property that represents the date of death for this entity.

[Tool]
Top 10 property alternatives:
1. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as p/wdt): 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 p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
3. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
4. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as p/wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
5. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as p/wdt): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
7. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as p/wdt): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
8. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as p/wdt): full name of a person at birth, if different from their current, generally used name, name
9. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
10. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in

No other items found

[Assistant]
The property `wd:P570` (date of death) is the correct one to use for finding the date of death for Ella Fitzgerald. Let's construct a SPARQL query to retrieve this information.

Here is the SPARQL query:

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

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

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

[Assistant]
The SPARQL query returned the date of death for Ella Fitzgerald as `1996-06-15T00:00:00Z`. This indicates that Ella Fitzgerald died on June 15, 1996.

Here is the final SPARQL query and the answer:

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

Answer: Ella Fitzgerald died on June 15, 1996.

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

[Tool] Stopped generation process


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

World War II officially ended on September 2, 1945.

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

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

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

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

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

[User] When did World War II officially end?

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

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

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

[Tool]
Top 10 property alternatives:
1. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as p/wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
2. followed by, also known as continued as, then, successor, succeeded by, sequel is (wd:P156 as p/wdt): immediately following item in a series of which the subject is a...een replaced, e.g. political offices, use "replaced by" (P1366)]
3. follows, also known as prev, successor to, succeeds to, succeeds, split from (wd:P155 as p/wdt): immediately prior item in a series of which the subject is a par... preceding item, e.g. political offices, use "replaces" (P1365)]
4. has effect, also known as has symptom, implies, leads to, led to, outcome (wd:P1542 as p/wdt): effect of this item, followed by
5. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time
6. participant, also known as suspect, player, party, participants, has participant (wd:P710 as p/wdt): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
7. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as p/wdt): underlying cause, entity that ultimately resulted in this effect, follows
8. 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)
9. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
10. point in time, also known as at time, as of, year, when, time of event (wd:P585 as p/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)

No other items found

[Assistant]
The property "end time" (wdt:P582) seems to be the most appropriate for finding the end date of World War II. Let's construct a SPARQL query to retrieve this information.

Here is the SPARQL query:

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

Let's execute this query to get the end date of World War II.

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

[Assistant]
The end date of World War II is September 2, 1945.

Here is the final SPARQL query and the answer:

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

Answer: World War II officially ended on September 2, 1945.

[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 ?material ?materialLabel WHERE {
  wd:Q39231 wdt:P186 ?material .
  OPTIONAL {
    ?material rdfs:label ?materialLabel .
    FILTER ( LANG( ?materialLabel ) = "en" )
  }
}

Basalt

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

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

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

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

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

[User] What is the Fujiyama made of?

[Assistant]
To answer the question about what Fujiyama (Mount Fuji) is made of, we need to identify the entity for Mount Fuji and then look for properties that describe its composition or geological structure.

First, let's search for the entity representing Mount Fuji in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Mount Fuji, also known as Mt. Fuji, Mt Fuji, Fujiyama, Fuji-yama, Fuji-san (wd:Q39231): volcano in Yamanashi and Shizuoka Prefectures, Japan
2. Mount Fuji (wd:Q11455978)
3. Fujisan, also known as Fuji-san, Mount Fuji (wd:Q17212214)
4. 🗻, also known as U+1F5FB, MOUNT FUJI, mountain emoji, Mount Fuji emoji (wd:Q87581497): Unicode character
5. Mount Fuji, also known as Category:IMO 9260079, IMO 9260079 (wd:Q83608290): ship built in 2003
6. Mount Fuji (wd:Q78620185): painting by Yokoi Kinkoku
7. Mount Fuji (wd:Q78754492): painting by Kawanabe Kyōsai
8. Mount Fuji (wd:Q79412063): painting by Kano Tan'yu
9. Mount Fuji, also known as IMO 9509011 (wd:Q105770291): ship built in 2010
10. Mount Fuji (wd:Q49392407): painting by Minol Araki

[Assistant]
The top result for "Mount Fuji" is `wd:Q39231`, which is described as a volcano in Yamanashi and Shizuoka Prefectures, Japan. This is the correct entity for Mount Fuji.

Next, we need to find properties that describe the composition or geological structure of Mount Fuji. Let's search for properties related to the composition or geology of this entity.

[Tool]
Top 10 property alternatives:
1. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
2. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
3. made from material, also known as material used, manufactured out of, manufactured from, made of material, made of (wd:P186 as p/wdt): material the subject or the object is made of or derived from (do not confuse with P10672 which is used for processes), uses
4. 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)
5. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
6. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
7. spoken text audio, also known as audio description, spoken Wikipedia, spoken Wikipedia text audio, Wikipedia audio, Wikipedia spoken text audio (wd:P989 as p/wdt): audio file for the spoken work or Wikipedia article, including audio descriptions, audio
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. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as p/wdt): object depicting this subject (object being creative works such as books, films, paintings)
10. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as p/wdt): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of

No other items found

[Assistant]
From the search results, the property `wd:P186` (made from material) seems to be the most relevant for describing the material composition of Mount Fuji. Let's use this property to find out what Mount Fuji is made of.

I will now construct a SPARQL query to retrieve the materials that Mount Fuji is made of.

```sparql
SELECT ?material ?materialLabel
WHERE {
  wd:Q39231 wdt:P186 ?material.
  OPTIONAL { ?material rdfs:label ?materialLabel. FILTER(LANG(?materialLabel) = "en") }
}
```

Let's execute this query.

[Tool]
Got 1 row and 2 columns:
| ?material          | ?materialLabel |
| ------------------ | -------------- |
| basalt (wd:Q43338) | basalt         |

[Assistant]
The SPARQL query returned that Mount Fuji is made of basalt.

Therefore, the answer to the question "What is Fujiyama made of?" is:

**Basalt**

Here is the final SPARQL query and answer:

```sparql
SELECT ?material ?materialLabel
WHERE {
  wd:Q39231 wdt:P186 ?material.
  OPTIONAL { ?material rdfs:label ?materialLabel. FILTER(LANG(?materialLabel) = "en") }
}
```

Answer: **Basalt**

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q1650 wdt:P2043 ?weserLength .
  wd:Q584 wdt:P2043 ?rhineLength .
  FILTER ( ?weserLength > ?rhineLength )
}

False

[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] Is the Weser longer than the Rhine?

[Assistant]
To answer this question, we need to find the lengths of the rivers Weser and Rhine and compare them. Let's start by searching for the entities representing these rivers in the knowledge graph.

I will first search for the entity "Weser" and then for the entity "Rhine".

[Tool]
Top 10 entity alternatives:
1. Weser, also known as Werser (wd:Q1650): river in north-western Germany
2. Seydlitz, also known as German cruiser Seydlitz, Weser (wd:Q662855): 1939 Admiral Hipper-class cruiser
3. Weser (wd:Q2563829): German pilot vessel
4. Weser (wd:Q28657280): nature preserve in North Rhine-Westphalia, Germany
5. Pola I, also known as Arngast, Baltica, Beta, Drochtersen, IMO 5387740 (wd:Q83582689): ship built in 1958
6. Weser (wd:Q56515182): ship built by Schichau Unterweser
7. Weser (wd:Q37225304): family name
8. Weser (wd:Q34857185): part of a river in Germany
9. Weser (wd:Q2563832): 1931 German ship
10. Weser, also known as IMO 6620266, Wabda (wd:Q106677892): bulk carrier launched in 1966

[Assistant]
The top result for "Weser" is the river in north-western Germany, which is what we are looking for. The IRI for the Weser river is `wd:Q1650`.

Next, let's search for the entity "Rhine".

[Tool]
Top 10 entity alternatives:
1. Rhine (wd:Q584): river in Western Europe to the North Sea
2. Rhine, also known as Rhine, GA, Rhine, Georgia (wd:Q2156232): town in Dodge County, Georgia, USA
3. Rhine (wd:Q1886951): civil town in Sheboygan County, Wisconsin
4. Seerhein, also known as Rhine (wd:Q481339): river
5. Rhine (wd:Q7320550): ship
6. rhyne, also known as reen, rhine (wd:Q7321737): term for a drainage ditch or canal in parts of England and Wales
7. Rhine Center, also known as Rhine, Rhine Center, WI, Rhine Center, Wisconsin (wd:Q7320551): unincorporated community in Sheboygan County, Wisconsin
8. Rhine (wd:Q37575224): family name
9. Rhine (wd:Q110815477): given name
10. Rhine (wd:Q104267295): townland in Cloonee, County Longford, Ireland

[Assistant]
The top result for "Rhine" is the river in Western Europe, which is what we are looking for. The IRI for the Rhine river is `wd:Q584`.

Now that we have the IRIs for both rivers, we need to find their lengths. We will search for the property "length" to see how it is represented in the knowledge graph.

Let's search for the property "length".

[Tool]
Top 10 property alternatives:
1. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): length of time of an event or process
2. length, also known as size, long, LOA, distance, dimension (wd:P2043 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): measured dimension of an object
3. block size, also known as block length (wd:P2599 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): size of block for this block cipher or hash function
4. perimeter, also known as boundary length, circumference, coastline (wd:P2547 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): linear distance around the outside of an object
5. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
6. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): area occupied by an object
7. width, also known as breadth, bus width, size (wd:P2049 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): width of an object, length
8. height, also known as heighth, size, depth over terrain (wd:P2048 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): vertical length of an entity, length
9. beam, also known as width, breadth, BOA (wd:P2261 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): width of a ship at its widest point measured at its nominal waterline
10. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): height of the item (geographical object) as measured relative to sea level

[Assistant]
The property "length" is represented by `wd:P2043` in the knowledge graph. Now we can construct a SPARQL query to retrieve the lengths of the Weser and Rhine rivers.

Let's write a SPARQL query to get the lengths of both rivers and then compare them.

[Tool]
Got 2 rows and 2 columns:
| ?river           | ?length |
| ---------------- | ------- |
| Weser (wd:Q1650) | 451     |
| Rhine (wd:Q584)  | 1232.7  |

[Assistant]
We have retrieved the lengths of the Weser and Rhine rivers:
- The Weser river has a length of 451 km.
- The Rhine river has a length of 1232.7 km.

Since 451 km is less than 1232.7 km, the Weser is not longer than the Rhine.

Therefore, the answer to the question "Is the Weser longer than the Rhine?" is **False**.

Here is the final SPARQL query and answer:

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?event ?startDate ?deaths WHERE {
  ?event wdt:P580 ?startDate ; wdt:P1120 ?deaths .
  FILTER ( ?startDate >= "1910-01-01T00:00:00Z" ^^ xsd:dateTime && ?startDate <= "1920-12-31T23:59:59Z" ^^ xsd:dateTime )
}
ORDER BY DESC ( ?deaths )
LIMIT 1

The event that killed the most people between 1910 and 1920 is the 1918-1920 flu pandemic (Spanish Flu), which caused approximately 50 million deaths.

[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 event killed the most people in the years 1910 to 1920?

[Assistant]
To answer this question, we need to identify events that occurred between 1910 and 1920 and then determine which of these events caused the highest number of fatalities. We will start by searching for events that took place during this time period and then look for the number of deaths associated with each event.

### Step 1: Identify Events Between 1910 and 1920
We will search for events that have a start date or occurrence date between 1910 and 1920.

### Step 2: Find the Number of Deaths for Each Event
Once we have a list of events, we will look for the property that represents the number of deaths associated with each event.

### Step 3: Determine the Event with the Highest Number of Deaths
Finally, we will sort the events by the number of deaths and select the one with the highest number.

Let's start by searching for events that occurred between 1910 and 1920.

### Step 1: Search for Events Between 1910 and 1920
We will use the `search_entity` function to find events that have a start date or occurrence date between 1910 and 1920.

First, let's search for the property that represents the start date or occurrence date of an event.

[Tool]
Top 10 property alternatives:
1. start time, also known as start date, since, valid, join time, joined (wd:P580 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): time an entity begins to exist or a statement starts being valid, point in time
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): time when an entity begins to exist; for date of official opening use P1619, start time
3. earliest date, also known as no earlier than, terminus post quem, start date (earliest), on or after this date, minimum date (wd:P1319 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): earliest date at which an event could have happened. Use as qualifier for other date properties
4. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
5. Gregorian calendar start date, also known as adoption of the Gregorian calendar, Gregorian calendar first used, first date (N.S.) (wd:P7295 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): date the Gregorian calendar was first used
6. date of official opening, also known as launch date, launched, officially opened on, official opening, official opening time (wd:P1619 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): date or point in time a place, organization, or event officially opened, start time, inception
7. start of covered period, also known as coverage start date, covered period start (wd:P7103 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): start of period covered by an archive set, a historical book, or a collection
8. service entry, also known as commissioned, time of service entry, service introduction, launch date, in service (wd:P729 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): date or point in time on which a piece or class of equipment entered operational service, start time
9. UTC date of spacecraft launch, also known as time of spacecraft launch, spacecraft launch time, spacecraft launch date, launch time, launch date (wd:P619 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): date of spacecraft launch in UTC
10. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): date or point in time when a work was first published or released, point in time

[Assistant]
From the search results, the most relevant property for the start date or occurrence date of an event is `P580` (start time). We will use this property to find events that occurred between 1910 and 1920.

Next, we will search for events that have a start date between 1910 and 1920.

### Step 2: Search for Events Between 1910 and 1920
We will use the `list` function to find events with a start date between 1910 and 1920.

Let's execute the query to find these events.

[Tool]
Got 100 rows and 1 column, showing the first 5 and last 5 rows below:
| ?event                                                                    |
| ------------------------------------------------------------------------- |
| The Evening Sun (wd:Q100294305)                                           |
| 1910 Paris Session of the Institut de Droit International (wd:Q101440804) |
| Novotný Václav (wd:Q101516980)                                            |
| wd:Q101517473                                                             |
| wd:Q101517708                                                             |
| ...                                                                       |
| Sawahlunto Cultural Center (wd:Q12483684)                                 |
| Abū Qashsha (wd:Q124970234)                                               |
| al-Irshād al-Islāmī (wd:Q124970424)                                       |
| al-Ustādh (wd:Q124970438)                                                 |
| al-Iʿtidāl (wd:Q124970497)                                                |

[Assistant]
The query returned a list of events that occurred between 1910 and 1920. However, many of these results seem to be publications, sessions, and other non-disastrous events. To narrow down our search to significant events that caused fatalities, we need to filter out non-relevant events and focus on disasters or conflicts.

### Step 3: Filter for Disasters or Conflicts
We will search for properties that represent the number of deaths or casualties associated with an event. Once we have this property, we can filter the events to include only those that have a recorded number of deaths.

Let's search for the property that represents the number of deaths or casualties.

### Step 4: Search for the Property Representing the Number of Deaths
We will use the `search_property` function to find the property that represents the number of deaths or casualties.

Let's execute the search.

[Tool]
Top 10 property alternatives:
1. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): total (cumulative) number of people who died since start as a direct result of an event or cause
2. number of casualties, also known as casualities, number of deaths and injuries (wd:P1590 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): number of people dead or injured because of this event.  Used wh...e data on number of deaths and number of injured is unavailable.
3. 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 pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): people killed by the subject, both legal and illegal
4. death rate, also known as mortality rate (wd:P10091 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): the total number of persons dead per 1,000 population per year
5. case fatality rate, also known as fatality rate, CFR, case fatality ratio, case fatality, case fatality risk (wd:P3457 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): proportion of patients who die of a particular medical condition out of all who have this condition within a given time frame
6. number of graves, also known as total number of graves, capacity cemetery (wd:P2351 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): number of burial places in a cemetery or necropolis, maximum capacity, quantity
7. quantity buried, also known as burials, graves, number of burials, number of people buried (wd:P2324 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): number of remains buried or interred, quantity
8. number of losses, also known as defeats, games lost, L, losses, lost (wd:P1356 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): number of sporting matches, games or events lost
9. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
10. number of survivors, also known as survivors (wd:P1561 as pqn/prn/psn/psv/pqv/p/wdt/ps/pq/pr/wdtn/prv): number of people surviving an event

[Assistant]
From the search results, the most relevant property for the number of deaths or casualties associated with an event is `P1120` (number of deaths).

### Step 5: Filter Events with the Number of Deaths
We will now filter the events to include only those that have a recorded number of deaths and then sort them by the number of deaths to find the event with the highest number of fatalities.

Let's execute the query to find the event with the highest number of deaths between 1910 and 1920.

### Step 6: Execute the Final Query
We will combine the conditions for the start date and the number of deaths, and then sort the results by the number of deaths in descending order to find the event with the highest number of fatalities.

Let's execute the final query.

[Tool]
Got 10 rows and 3 columns:
| ?event                                                        | ?startDate           | ?deaths  |
| ------------------------------------------------------------- | -------------------- | -------- |
| 1918-1920 flu pandemic (wd:Q178275)                           | 1918-01-01T00:00:00Z | 50000000 |
| World War I (wd:Q361)                                         | 1914-07-28T00:00:00Z | 17000000 |
| Armenian genocide (wd:Q80034)                                 | 1915-04-24T00:00:00Z | 1200000  |
| Greek genocide (wd:Q911233)                                   | 1913-01-01T00:00:00Z | 900000   |
| Encephalitis lethargica epidemic of 1915-1926 (wd:Q110614024) | 1915-01-01T00:00:00Z | 500000   |
| Greek genocide (wd:Q911233)                                   | 1913-01-01T00:00:00Z | 450000   |
| Romanian typhus outbreak during WWI (wd:Q61082084)            | 1916-01-01T00:00:00Z | 300000   |
| Manchurian plague (wd:Q91900320)                              | 1910-01-01T00:00:00Z | 100000   |
| Manchurian plague (wd:Q91900320)                              | 1910-01-01T00:00:00Z | 60000    |
| wd:Q92994090                                                  | 1918-08-01T00:00:00Z | 40000    |

[Assistant]
The query results show that the event with the highest number of deaths between 1910 and 1920 is the **1918-1920 flu pandemic** (Spanish Flu), which caused approximately 50 million deaths.

### Final Answer
The event that killed the most people between 1910 and 1920 is the **1918-1920 flu pandemic** (Spanish Flu).

Let's provide the final SPARQL query and answer.

[Tool] Stopped generation process