PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT DISTINCT ?actor WHERE {
  ?film wdt:P31 wd:Q11424 .
  ?film p:P161 ?statement .
  ?statement ps:P161 ?actor .
  ?statement pq:P453 wd:Q51746 .
  OPTIONAL {
    ?actor rdfs:label ?actorLabel FILTER ( lang( ?actorLabel ) = "en" )
  }
}

Mark Hamill (wd:Q210447) and Seth Gamble (wd:Q3069394) have played Luke Skywalker in films according to Wikidata.

[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 http://amur:7001

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] who would play luke skywalker?

[Assistant]
Let's break down the question:

1. The question is asking about the actor who would play (or has played) the character "Luke Skywalker".
2. The key entities are "Luke Skywalker" (a fictional character) and the property connecting a character to its actor (likely "portrayed by" or similar).

Step 1: Find the entity for "Luke Skywalker".
Step 2: Find the property that links a character to the actor who portrays them.
Step 3: Build a SPARQL query to find the actor(s) who have portrayed Luke Skywalker.

Let's start by searching for the entity "Luke Skywalker".

[Tool]
Top 10 entity alternatives:
1. Luke Skywalker, also known as Luke Starkiller (wd:Q51746): fictional character from Star Wars, starship pilot, mechanic, rebel, Jedi
2. Luke Skywalker, also known as 1978 Luke Skywalker (wd:Q125304798): 1978 Star Wars miniature action figure
3. Luke Skywalker (Hoth Battle Gear), also known as 1980 Luke Skywalker (wd:Q131787546): 1980 Star Wars miniature action figure
4. Luke Skywalker (Bespin Fatigues), also known as 1980 Luke Skywalker (wd:Q131785930): 1980 Star Wars miniature action figure
5. Luke Skywalker: X-Wing Pilot, also known as 1978 Luke Skywalker: X-Wing Pilot (wd:Q131785637): 1978 Star Wars miniature action figure
6. Luke Skywalker's lightsaber, also known as Luke Skywalker's laser sword, Luke's laser sword, Luke's lightsaber (wd:Q109322277): fictional lightsaber from the Star Wars universe
7. Luke Skywalker's X-wing starfighter (wd:Q131848835): fictional spacecraft from the Star Wars universe
8. Luke Skywalker and the Shadows of Mindor (wd:Q6702352): 2008 novel by Matthew Stover
9. Gospel of Luke, also known as Luke, Gospel of Saint Luke, Gospel According to Luke (wd:Q39939): book of the New Testament
10. Luke the Evangelist, also known as Saint Luke, Lucanus, Luke, Lukas (wd:Q128538): one of the four evangelists, iconographer, evangelist, physician, painter, writer

[Assistant]
The most relevant entity for "Luke Skywalker" as the fictional character from Star Wars is wd:Q51746.

Next, I need to find the property that links a fictional character to the actor who portrays them. This is likely "portrayed by" or similar. I'll search for properties related to "actor" or "portrayed by" for this entity.

[Tool]
Top 10 property alternatives:
1. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as p/wdt): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
2. 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
3. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as p/wdt): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)
4. 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
5. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
6. 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)
7. character type, also known as -dere, stock character, stereotype, dere, character stereotype (wd:P9071 as p/wdt): generic character type that this fictional character represents, manifestation of
8. superhuman feature or ability, also known as has superpower, magic, magic ability, magical ability, supernatural abilities (wd:P2563 as p/wdt): superhuman, supernatural, or paranormal abilities that the fictional subject exhibits, uses
9. IMDb ID, also known as IMDb identifier, Internet Movie Database identifier (wd:P345 as p): identifier for the IMDb (with prefix 'tt', 'nm', 'co', 'ev', 'ch' or 'ni')
10. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as p/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)

No other items found

[Tool]
Top 10 property alternatives:
1. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as p/wdt): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
2. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as p/wdt): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)
3. 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)
4. uses, also known as uses trope, used, using, wielded, wields (wd:P2283 as p/wdt): item or concept used by the subject or in the operation (see also instrument [P1303] and armament [P520])
5. derivative work, also known as is source work of, is adapted as, is the basis for, iteration, reboot (wd:P4969 as p/wdt): new work of art (film, book, software, etc.) derived from major part of this work
6. 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)
7. character type, also known as -dere, stock character, stereotype, dere, character stereotype (wd:P9071 as p/wdt): generic character type that this fictional character represents, manifestation of
8. 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)
9. media franchise, also known as franchise, mass media franchise, media mix, presented in media franchise (wd:P8345 as p/wdt): this creative work belongs to this media franchise
10. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time

No other items found

[Tool]
Top 10 property alternatives:
1. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): object depicting this subject (object being creative works such as books, films, paintings)
2. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
3. used by, also known as armiger, user, played by, of (wd:P1535 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): item or concept that makes use of the subject (use sub-properties when appropriate)
4. name of the character role, also known as character named as, role named as, role name, name of the role, name of the character (wd:P4633 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): name by which a character role is recorded in a database or ment...ably a specific performance of a theatrical production of a play, name
5. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work
6. describes actor of (wd:P12027 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): predicate sense whose actor (an agent or a cause—basically the instigator of an action) is denoted by this sense
7. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
8. character role, also known as role, plays, performer of, as, acting role (wd:P453 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
9. agents of action have role, also known as actors have role, agent has role, agent of action has role, agents have role, done by agent(s) with role (wd:P12993 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): role that agents of this action take on in the context of this action
10. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)

[Tool]
Got 1 row and 3 columns:
| subject                    | property             | object                   |
| -------------------------- | -------------------- | ------------------------ |
| Luke Skywalker (wd:Q51746) | performer (wdt:P175) | Mark Hamill (wd:Q210447) |

[Tool] Got no rows and 3 columns

[Assistant]
Based on the results, the property "performer" (wdt:P175) is used to indicate the actor who played Luke Skywalker, and the object is Mark Hamill (wd:Q210447).

Now, I will construct a SPARQL query that returns the actor(s) who played Luke Skywalker, returning their IRIs and optionally their labels.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query uses the property wdt:P175 (performer), which is primarily intended for musical works and not for film or television characters. For finding the actor who played Luke Skywalker, the correct property is wdt:P161 (cast member). The query should be:

SELECT ?actor WHERE { ?film wdt:P161 ?actor . ?film wdt:P31 wd:Q11424 . ?film wdt:P161 wd:Q51746 . OPTIONAL { ?actor rdfs:label ?actorLabel FILTER (lang(?actorLabel) = "en") } }

This will ensure that the actor who played Luke Skywalker in films is correctly retrieved. Please revise the query accordingly.

[Assistant]
Thank you for the feedback. You are correct: wdt:P175 (performer) is not the ideal property for film or television characters. The correct approach is to look for films (wd:Q11424) where Luke Skywalker (wd:Q51746) is a cast member (wdt:P161), and then retrieve the other cast members (the actors) associated with those films.

Let me explain the revised approach:
1. Find all films (instances of wd:Q11424) where Luke Skywalker is listed as a cast member (wdt:P161).
2. For each such film, retrieve all actors (wdt:P161) who played in that film.
3. Return the actor IRIs and optionally their labels.

Now, I will construct and run the improved SPARQL query.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that the query did not return any results. This suggests that Luke Skywalker (wd:Q51746) may not be directly listed as a "cast member" (wdt:P161) in film items, which is typical since wdt:P161 usually links films to actors, not to characters.

A better approach is to:
1. Find films (wd:Q11424) where the cast member (wdt:P161) played the role of Luke Skywalker.
2. This is usually modeled with a qualifier on the cast member statement, such as "character role" (wd:P453) or "subject has role" (wd:P2868).

Let's search for properties related to "character" or "role" that might be used as qualifiers on cast member statements.

[Tool]
Top 10 property alternatives:
1. character role, also known as role, plays, performer of, as, acting role (wd:P453 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
2. name of the character role, also known as character named as, role named as, role name, name of the role, name of the character (wd:P4633 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): name by which a character role is recorded in a database or ment...ably a specific performance of a theatrical production of a play, name
3. narrative role (wd:P5800 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): narrative role of this character (should be used as a qualifier with P674 or restricted to a certain work using P10663)
4. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)
5. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work
6. object of statement has role, also known as has role, value has role, specifically, role, object of statement has role (wd:P3831 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): (qualifier) role or generic identity of the predicate value/argu... the role of the item the statement is on ("subject"), use P2868
7. has use, also known as utility, used in, used for, used as, use (wd:P366 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): main use of the subject (includes current and former usage)
8. subject has role, also known as has role, role, subject had role, subject of qualified statement has role, subject of statement has role (wd:P2868 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): role/generic identity of the item ("subject") in the context of ...acting roles, use P453 ("character role"). For persons, use P39.
9. character type, also known as -dere, stock character, stereotype, dere, character stereotype (wd:P9071 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): generic character type that this fictional character represents, manifestation of
10. characters, also known as appears in this work (wd:P674 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): characters which appear in this item (like plays, operas, operettas, books, comics, films, TV series, video games)

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                 | property               | object                            |
| --------------------------------------- | ---------------------- | --------------------------------- |
| Celebrity (wd:Q1052826)                 | cast member (wdt:P161) | Donald Trump (wd:Q22686)          |
| Billie Jean (wd:Q101077837)             | cast member (wdt:P161) | Michael Jackson (wd:Q2831)        |
| wd:Q104896367                           | cast member (wdt:P161) | Adolf Hitler (wd:Q352)            |
| wd:Q102390568                           | cast member (wdt:P161) | Vladimir Lenin (wd:Q1394)         |
| wd:Q104894545                           | cast member (wdt:P161) | George W. Bush (wd:Q207)          |
| wd:Q102389744                           | cast member (wdt:P161) | Joseph Stalin (wd:Q855)           |
| Die Filmstadt Hollywood (wd:Q100104941) | cast member (wdt:P161) | Charlie Chaplin (wd:Q882)         |
| wd:Q104898033                           | cast member (wdt:P161) | Mustafa Kemal Atatürk (wd:Q5152)  |
| The Vasulka Effect (wd:Q104898368)      | cast member (wdt:P161) | Salvador Dalí (wd:Q5577)          |
| The Art of Dissent (wd:Q104898595)      | cast member (wdt:P161) | Martin Luther King Jr. (wd:Q8027) |
| ...                                     | ...                    | ...                               |

[Tool]
Got 59 rows and 3 columns, showing the first 10 rows below:
| subject                                                      | property               | object                   |
| ------------------------------------------------------------ | ---------------------- | ------------------------ |
| Star Wars: Episode IV – A New Hope (wd:Q17738)               | cast member (wdt:P161) | Mark Hamill (wd:Q210447) |
| Star Wars: Episode V – The Empire Strikes Back (wd:Q181795)  | cast member (wdt:P161) | Mark Hamill (wd:Q210447) |
| Star Wars: Episode VI – Return of the Jedi (wd:Q181803)      | cast member (wdt:P161) | Mark Hamill (wd:Q210447) |
| Star Wars: Episode VII – The Force Awakens (wd:Q6074)        | cast member (wdt:P161) | Mark Hamill (wd:Q210447) |
| Star Wars: Episode VIII – The Last Jedi (wd:Q18486021)       | cast member (wdt:P161) | Mark Hamill (wd:Q210447) |
| Criminal Minds (wd:Q202141)                                  | cast member (wdt:P161) | Mark Hamill (wd:Q210447) |
| Kingsman: The Secret Service (wd:Q15068238)                  | cast member (wdt:P161) | Mark Hamill (wd:Q210447) |
| The Mandalorian (wd:Q56876444)                               | cast member (wdt:P161) | Mark Hamill (wd:Q210447) |
| Star Wars: Episode IX – The Rise of Skywalker (wd:Q20977110) | cast member (wdt:P161) | Mark Hamill (wd:Q210447) |
| The Book of Boba Fett (wd:Q104396610)                        | cast member (wdt:P161) | Mark Hamill (wd:Q210447) |
| ...                                                          | ...                    | ...                      |

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. voice actor, also known as voice actors, voice dubber, voice actress, voice actresses, voiced by (wd:P725 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): performer of a spoken role in a creative work such as animation,... (P453) as qualifier] [use "cast member" (P161) for live acting], film crew member, cast member
2. Behind The Voice Actors person ID, also known as behindthevoiceactors.com person ID, BTVA person ID, BTVA ID (wd:P5007 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier of a person on the website Behind The Voice Actors
3. Deutsche Synchronkartei dubbing voice actor ID, also known as Synchronkartei dubbing voice actor identifier, Synchronkartei dubbing voice actor ID, Deutsche Synchronkartei dubbing voice actor identifier (wd:P4727 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier for a dubbing voice actor, in the synchronisation (dubbing) database Deutsche Synchronkartei
4. Behind The Voice Actors short ID, also known as BTVA short ID (wd:P7318 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier of a short on the website Behind The Voice Actors
5. Behind The Voice Actors character ID, also known as Behind The Voice Actors character identifier, BTVA character ID, BTVA character identifier (wd:P5107 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier of a character from the Behind The Voice Actors website
6. Behind The Voice Actors franchise ID, also known as BTVA franchise ID (wd:P5382 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier of a franchise in Behind the Voice Actors
7. Behind The Voice Actors film ID, also known as Behind The Voice Actors movie ID, BTVA movie ID (wd:P5384 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier of a film on the website Behind The Voice Actors
8. MyAnimeList people ID, also known as MyAnimeList actor ID, MyAnimeList voice actor ID, MyAnimeList staff ID, MyAnimeList person ID, MAL voice actor ID (wd:P4084 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier for a person or group of people on MyAnimeList
9. audio recording of the subject's spoken voice, also known as voice recording, audio clip, spoken voice, speaking voice, recording of the subject's spoken voice (wd:P990 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): audio file representing the speaking voice of a person; or of an animated cartoon or other fictitious character, audio
10. voice type, also known as range of voice, register, tessitura, type of voice, vocal type (wd:P412 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): person's voice type. expected values: soprano, mezzo-soprano, contralto, countertenor, tenor, baritone, bass (and derivatives)

[Tool] Got no rows and 3 columns

[Tool]
Got 71 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                  | object                   |
| ----------------------------- | ------------------------- | ------------------------ |
| Prof. Ligotek (wd:Q130552315) | character role (wdt:P453) | physician (wd:Q39631)    |
| Hercklekotek (wd:Q130640446)  | character role (wdt:P453) | student (wd:Q48282)      |
| Gwjoździorz (wd:Q133131352)   | character role (wdt:P453) | astronomer (wd:Q11063)   |
| Kuklok (wd:Q129254980)        | character role (wdt:P453) | firefighter (wd:Q107711) |
| Ewald (wd:Q130711651)         | character role (wdt:P453) | painter (wd:Q1028181)    |
| wd:Q133729008                 | character role (wdt:P453) | superhero (wd:Q188784)   |
| Anna Karlsohn (wd:Q4958093)   | character role (wdt:P453) | soprano (wd:Q30903)      |
| Dentruś (wd:Q130642514)       | character role (wdt:P453) | dentist (wd:Q27349)      |
| Szerlok (wd:Q130642432)       | character role (wdt:P453) | detective (wd:Q842782)   |
| Akademikus (wd:Q130379732)    | character role (wdt:P453) | rector (wd:Q212071)      |
| ...                           | ...                       | ...                      |

[Tool] Got no rows and 3 columns

[Assistant]
After several attempts, it is clear that Wikidata does not consistently model the relationship between actors and the specific characters they play (such as Luke Skywalker) using direct properties or qualifiers in a way that can be reliably queried. The most consistent modeling is that Mark Hamill (wd:Q210447) is a cast member of the Star Wars films, but the link between "Mark Hamill" and "Luke Skywalker" as a character is not directly encoded in the data.

Given this, the best SPARQL query to answer "who would play Luke Skywalker?" using Wikidata is to find actors who are cast members in Star Wars films, but this will not guarantee that they played Luke Skywalker unless the data is improved. Based on the available data, Mark Hamill is the actor most widely known for playing Luke Skywalker.

Here is a query that retrieves all cast members of Star Wars films, which can be filtered for Mark Hamill:

```sparql
SELECT DISTINCT ?actor WHERE {
  ?film wdt:P161 ?actor .
  ?film wdt:P31 wd:Q11424 .
  ?film rdfs:label ?filmLabel .
  FILTER(CONTAINS(LCASE(?filmLabel), "star wars"))
  OPTIONAL { ?actor rdfs:label ?actorLabel FILTER (lang(?actorLabel) = "en") }
}
```

But since the direct link is missing, I will answer based on the best available evidence.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The current SPARQL query retrieves all actors who appeared in any film with 'Star Wars' in the title, but it does not specifically identify which actor played Luke Skywalker. This results in a large number of irrelevant actors, not just Mark Hamill. The query needs to be refined to specifically find the actor who played the character 'Luke Skywalker'. This can be done by linking the actor to the character via the appropriate property (e.g., 'character role' or similar) and filtering for the character 'Luke Skywalker'. Please revise the query to directly answer the question: who played Luke Skywalker?

[Assistant]
Thank you for the feedback. You are correct: the previous query was too broad and did not specifically link actors to the character "Luke Skywalker."

Let's clarify the approach:
- The ideal way is to find statements where an actor is a "cast member" (wdt:P161) in a film, and the statement has a qualifier indicating the "character role" (P453) as "Luke Skywalker" (wd:Q51746).
- This requires using the full statement path (not just wdt:), so we can access qualifiers.

Let's build a query that:
1. Finds films (instances of wd:Q11424).
2. Finds cast member statements (?film p:P161 ?statement).
3. Filters for those where the character role (psv:P161/pq:P453) is Luke Skywalker (wd:Q51746).
4. Returns the actor (?statement ps:P161 ?actor).

Let's write and test this query.

[Tool]
Got 2 rows and 1 column:
| actor                     |
| ------------------------- |
| Mark Hamill (wd:Q210447)  |
| Seth Gamble (wd:Q3069394) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?country WHERE {
  ?country wdt:P31 wd:Q3624078 .
  ?country wdt:P37 wd:Q1321 .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( lang( ?countryLabel ) = "en" )
  }
}

Got 21 rows and 1 column, showing the first 5 and last 5 rows below:
| country                            |
| ---------------------------------- |
| Kingdom of Patones (wd:Q131839713) |
| Cuba (wd:Q241)                     |
| Spain (wd:Q29)                     |
| Chile (wd:Q298)                    |
| Argentina (wd:Q414)                |
| ...                                |
| Costa Rica (wd:Q800)               |
| Panama (wd:Q804)                   |
| Nicaragua (wd:Q811)                |
| Mexico (wd:Q96)                    |
| Equatorial Guinea (wd:Q983)        |

This query returns all sovereign states (not dependent territories) that have Spanish as an official language. The IRIs of the countries are included in the results.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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 countries have spanish as the national language?

[Assistant]
Let's break down the question:

1. We need to identify countries (entities of type "country").
2. We are looking for those where Spanish is the national language.
3. So, we need to find the entity for "Spanish language" and the property for "national language" (not just official language).

First, let's search for the entity "Spanish language".

[Tool]
Top 10 entity alternatives:
1. Spanish, also known as Castilian, Castilian language, es, esp, Español (wd:Q1321): Romance language originating in the Iberian Peninsula
2. Spanish Language (wd:Q110262534): Stack Exchange site for linguists, teachers, students and Spanis...s in general wanting to discuss the finer points of the language
3. [Spanish language] (wd:Q80351209): scientific article published on 01 April 2004
4. Spanish language (wd:L616490-S1)
5. Spanish language (wd:L592032-S1)
6. Spanish (language) (wd:L612761-S1)
7. Spanish Wikipedia, also known as Spanish-language Wikipedia, Spanish language Wikipedia, esWP, eswp, es.wikipedia.org (wd:Q8449): Spanish-language edition of Wikipedia
8. Rioplatense Spanish, also known as Rioplatense Spanish language (wd:Q509780): variant of Spanish spoken in Argentina and Uruguay
9. Mexican Spanish, also known as .mx, mx, Mexican Spanish language, mexicano, mejicano (wd:Q616620): dialect of Spanish spoken and written in Mexico
10. Spanish Sign Language, also known as LSE, ssp, SSL (wd:Q3100814): sign language used mainly by deaf people in Spain

[Assistant]
The main entity for the Spanish language is wd:Q1321.

Next, we need to find the property for "national language". Let's search for properties related to "national language".

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): language designated as official by this item, language used
2. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): language or languages a person has learned from early childhood, languages spoken, written or signed
3. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): language(s) that a person or a people speaks, writes or signs, including the native language(s)
4. population by native language, also known as native language population (wd:P12712 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): native language population of a place, population
5. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
6. programmed in, also known as language, programming language, written in (wd:P277 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): the programming language(s) in which the software is developed
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): language widely used (spoken or written) in this place or at this event or organisation
8. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): language status identifier by Ethnologue.com using EGIDS scale
9. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): label for the items in their official language  or their original language, name
10. number of speakers, writers, or signers, also known as signers of a language, speakers of language, writers of a language (wd:P1098 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): number of people who use a language

[Assistant]
The most relevant property is "official language" (wd:P37), as Wikidata does not have a distinct "national language" property for countries. In most cases, the "official language" property is used to indicate the national language(s) of a country.

Now, let's construct a query to find all countries (instances of wd:Q6256, "country") where the official language (wdt:P37) is Spanish (wd:Q1321).

To make the results more readable, I'll also try to include the country labels using rdfs:label in an OPTIONAL clause.

Let's build and execute the query.

[Tool]
Got 18 rows and 1 column, showing the first 5 and last 5 rows below:
| country                         |
| ------------------------------- |
| Republic of Cuba (wd:Q14905932) |
| Cuba (wd:Q241)                  |
| Spain (wd:Q29)                  |
| Chile (wd:Q298)                 |
| Argentina (wd:Q414)             |
| ...                             |
| Dominican Republic (wd:Q786)    |
| El Salvador (wd:Q792)           |
| Costa Rica (wd:Q800)            |
| Nicaragua (wd:Q811)             |
| Mexico (wd:Q96)                 |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is mostly correct: it retrieves all entities that are instances of 'country' (wd:Q6256) and have Spanish (wd:Q1321) as an official language (wd:P37). However, the question specifically asks for countries where Spanish is the 'national language,' which is a stricter criterion than just 'official language.' Wikidata sometimes distinguishes between 'official language' (P37) and 'national language' (P103). To be more precise, the query should also consider P103 (national language) and possibly filter for countries where Spanish is the national language, not just one of several official languages. Please refine the query to include this distinction, or at least explain the limitation if the data is not available.

[Assistant]
Thank you for the feedback. You are correct: "national language" (P103) is a stricter criterion than "official language" (P37). Let's refine the approach:

Step-by-step plan:
1. Search for the property P103 ("native language" or "national language") and confirm its usage for countries.
2. Construct a query to find countries (wd:Q6256) where Spanish (wd:Q1321) is the national language (wdt:P103).
3. If no results are found (since P103 is more often used for people than countries), explain this limitation and provide the best possible answer.

First, let's check if any countries use P103 with Spanish.

[Tool]
Got 7,852 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                   | object             |
| --------------------------- | -------------------------- | ------------------ |
| Pablo Picasso (wd:Q5593)    | native language (wdt:P103) | Spanish (wd:Q1321) |
| Pope Francis (wd:Q450675)   | native language (wdt:P103) | Spanish (wd:Q1321) |
| Fidel Castro (wd:Q11256)    | native language (wdt:P103) | Spanish (wd:Q1321) |
| Jorge Luis Borges (wd:Q909) | native language (wdt:P103) | Spanish (wd:Q1321) |
| Hugo Chávez (wd:Q8440)      | native language (wdt:P103) | Spanish (wd:Q1321) |
| Simón Bolívar (wd:Q8605)    | native language (wdt:P103) | Spanish (wd:Q1321) |
| Rafael Correa (wd:Q19581)   | native language (wdt:P103) | Spanish (wd:Q1321) |
| Pablo Neruda (wd:Q34189)    | native language (wdt:P103) | Spanish (wd:Q1321) |
| Shakira (wd:Q34424)         | native language (wdt:P103) | Spanish (wd:Q1321) |
| Rafael Nadal (wd:Q10132)    | native language (wdt:P103) | Spanish (wd:Q1321) |
| ...                         | ...                        | ...                |

[Assistant]
The property P103 ("native language" or "national language") is primarily used for people, not for countries. This means Wikidata does not generally record the national language of a country using P103, but rather uses P37 ("official language") for countries.

Therefore, it is not possible to strictly answer the question using only the "national language" property for countries in Wikidata. The best available data is from the "official language" property, which may include countries where Spanish is one of several official languages, not necessarily the sole or national language.

I will provide a query that retrieves countries where Spanish is an official language (P37), and explain this limitation.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is sensible and retrieves countries where Spanish is an official language, which is a reasonable proxy for 'national language' given Wikidata's data model. However, there are two issues to refine:

1. The query currently retrieves both sovereign states and some dependent territories (e.g., 'Republic of Cuba' and 'Cuba'). To avoid duplicates and ensure only sovereign states are included, the query should filter for countries that are not subclasses of another country (i.e., not dependent territories or administrative regions).
2. The query should return the IRIs of the countries as required, but the OPTIONAL label clause is acceptable since labels are not required unless requested.

Suggested refinement: Add a filter to exclude non-sovereign entities and ensure only sovereign states are returned.

[Assistant]
Thank you for the detailed feedback. To address the issues:

1. To ensure only sovereign states are included, we should filter for entities that are instances of "sovereign state" (wd:Q3624078), which is the standard Wikidata class for independent countries.
2. We'll keep the IRIs as required, and the OPTIONAL label clause for readability.

Let's refine the query to only include entities that are instances of "sovereign state" (wd:Q3624078), not just any "country" (wd:Q6256).

Here is the refined query:

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?attribute ?attributeLabel WHERE {
  VALUES ?property {
    wdt:P413 wdt:P166
  }
  wd:Q193637 ?property ?attribute .
  OPTIONAL {
    ?attribute rdfs:label ?attributeLabel FILTER ( lang( ?attributeLabel ) = "en" )
  }
}

Got 5 rows and 2 columns:
| attribute                                                            | attributeLabel                                                |
| -------------------------------------------------------------------- | ------------------------------------------------------------- |
| NBA All-Defensive Team (wd:Q1465181)                                 | NBA All-Defensive Team (en)                                   |
| Elijah Pitts Award (wd:Q16834973)                                    | Elijah Pitts Award (en)                                       |
| small forward (wd:Q308879)                                           | small forward (en)                                            |
| NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (en) |
| All-NBA Team (wd:Q674359)                                            | All-NBA Team (en)                                             |

This SPARQL query retrieves both the positions Scottie Pippen played and the awards he received, according to Wikidata. These attributes are used as factual proxies for what he was 'good at.' Specifically, the query shows that Scottie Pippen played as a small forward and received several notable awards, such as the NBA All-Star Game Kobe Bryant Most Valuable Player Award, All-NBA Team, and NBA All-Defensive Team honors. These positions and awards reflect the areas in which he excelled during his basketball career.

[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 http://amur:7001

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

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

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

[User] what was scottie pippen good at?

[Assistant]
Let's break down the question:

1. The question asks about "what was Scottie Pippen good at?" This implies we need to find skills, positions, roles, or notable attributes associated with Scottie Pippen.
2. First, I need to identify the entity for Scottie Pippen in Wikidata.
3. Then, I need to look for properties related to skills, strengths, or notable attributes for this entity.

I'll start by searching for the entity "Scottie Pippen" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Scottie Pippen, also known as No Tippin' Pippen, Scotty Maurice Pippen, Scott Pippen, Robin, Pip (wd:Q193637): American basketball player, basketball player, actor
2. Scotty Pippen Jr., also known as Scottie Pippen Jr. (wd:Q100901254): American basketball player, basketball player
3. Slam City with Scottie Pippen (wd:Q3486520): 1994 video game
4. Scottish Terrier, also known as Aberdeen Terrier, Scottie, Scotty Dog (wd:Q39035): dog breed
5. 2024 in anime, also known as Scottie (wd:Q116673398): overview of anime-related events during the year of 2024
6. Pippen, also known as Pippen (surname), Pippen (family name) (wd:Q7197481): family name
7. pronunciation respelling for English, also known as Scottie (wd:Q7249972): non-IPA notation used to convey the pronunciation of English words (lookig like "lew-TEE-shee-əm")
8. Scottie (wd:Q7437589): album by Shirley Scott
9. English-language vowel changes before historic /r/, also known as Scottie (wd:Q5378157): vowel shifts
10. IBM Open Class, also known as scottie (wd:Q5968916): C++ class library

[Assistant]
The correct entity for Scottie Pippen is wd:Q193637.

Next, I need to find properties related to what he was "good at." This could include skills, positions played, awards, notable attributes, or roles. I'll search for properties of this entity related to "skill," "position," "strength," "notable," and "award" to see what is available.

I'll start by searching for properties related to "skill" for Scottie Pippen.

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
3. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as p/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)
4. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
5. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as p/wdt): sports teams or clubs that the subject represents or represented, member of
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. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as p/wdt): position or specialism of a player on a team
8. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as p/wdt): country a person or a team represents when playing a sport, country
9. 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
10. 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

No other items found

[Assistant]
The most relevant properties for "what was Scottie Pippen good at" are:
- occupation (wd:P106)
- award received (wd:P166)
- sport (wd:P641)
- position played on team / speciality (wd:P413)

These properties can tell us about his profession, the sport he played, the position he played (which often reflects skillset), and awards (which reflect recognition of his abilities).

Next, I'll check which values are present for these properties for Scottie Pippen by listing them. I'll start with "position played on team / speciality" (wd:P413), as this often indicates specific skills or roles in sports.

[Tool]
Got 1 row and 3 columns:
| subject                     | property                                        | object                     |
| --------------------------- | ----------------------------------------------- | -------------------------- |
| Scottie Pippen (wd:Q193637) | position played on team / speciality (wdt:P413) | small forward (wd:Q308879) |

[Assistant]
Scottie Pippen's position was "small forward" (wd:Q308879). This position is typically associated with versatility, defense, athleticism, and the ability to both score and assist.

To provide a more complete answer, I'll also check the "award received" (wd:P166) property, as awards can indicate what he was recognized for being good at.

[Tool]
Got 4 rows and 3 columns:
| subject                     | property                  | object                                                               |
| --------------------------- | ------------------------- | -------------------------------------------------------------------- |
| Scottie Pippen (wd:Q193637) | award received (wdt:P166) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) |
| Scottie Pippen (wd:Q193637) | award received (wdt:P166) | All-NBA Team (wd:Q674359)                                            |
| Scottie Pippen (wd:Q193637) | award received (wdt:P166) | NBA All-Defensive Team (wd:Q1465181)                                 |
| Scottie Pippen (wd:Q193637) | award received (wdt:P166) | Elijah Pitts Award (wd:Q16834973)                                    |

[Assistant]
Scottie Pippen received several awards:
- NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391)
- All-NBA Team (wd:Q674359)
- NBA All-Defensive Team (wd:Q1465181)
- Elijah Pitts Award (wd:Q16834973)

These awards indicate he was recognized for his overall play (All-NBA Team), his defense (NBA All-Defensive Team), and as an MVP in the All-Star Game.

To summarize, Scottie Pippen was good at playing as a small forward, was recognized for his defense, overall play, and was an MVP in the All-Star Game.

Now, I'll construct a SPARQL query that returns the positions and awards Scottie Pippen received, as these reflect what he was good at. I'll include optional labels for human readability.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer is mostly correct and the SPARQL query is well-constructed, returning the IRIs of the relevant attributes (positions and awards) associated with Scottie Pippen. However, the answer could be improved by explicitly mentioning that the query is retrieving both the positions he played and the awards he received, which are used as proxies for what he was 'good at.' Additionally, the answer should clarify that these are factual attributes from Wikidata, rather than a subjective assessment. The query itself is correct and does not need refinement, but the answer could be more precise in how it connects the query results to the user's question.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves both the positions Scottie Pippen played and the awards he received, which are factual proxies for what he was 'good at.' The query returns the IRIs of the items as required, and labels are included optionally. The answer is accurate and complete for the question asked.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?continent WHERE {
  wd:Q16 wdt:P30 ?continent
}

Got 1 row and 1 column:
| continent              |
| ---------------------- |
| North America (wd:Q49) |

Canada belongs to the continent North America (wd:Q49).

[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 http://amur:7001

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 continent does canada belong to?

[Assistant]
Let's break down the question:

1. The entity is "Canada".
2. The property is "continent" or "located on continent".

First, I will search for the entity "Canada" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Canada, also known as CA, CAN, Dominion of Canada, ISO 3166-1:CA (wd:Q16): country in North America
2. La Canyada, also known as Cañada (wd:Q1553440): municipality of Spain
3. Province of Canada, also known as British Canada, Canada, United Canadas, United Province of Canada (wd:Q1121436): 1841–1867 UK possession in North America
4. Canada, also known as French Canada (wd:Q2569593): French colony in New France between 1534 and 1763
5. Canada, also known as Canada, KS (wd:Q5029265): unincorporated community in Kansas, United States
6. Canada, also known as Canada, KY, Canada, Kentucky (wd:Q1031917): unincorporated community in Pike County, Kentucky, United States
7. Canadá (wd:Q20275156): human settlement in Mexico
8. Canada, also known as Kanada (wd:Q2684010): hamlet in Ooststellingwerf, Netherlands
9. Canada (wd:Q21287484): Wikimedia permanent duplicate item
10. Canada (wd:Q13265795): 2012 novel by Richard Ford

[Assistant]
The correct entity for the country Canada is wd:Q16.

Next, I need to find the property that links a country to its continent. I'll search for properties related to "continent".

[Tool]
Top 10 property alternatives:
1. continent (wd:P30 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): continent of which the subject is a part, located in/on physical feature
2. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
3. 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 psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
4. applies to part, also known as when viewed as, valid for part, section, region, per (wd:P518 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): part, aspect, or form of the item to which the claim applies
5. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
6. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
7. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
8. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): place where a statement is valid, applies to part
9. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
10. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): the object is a country that recognizes the subject as its citizen, country

[Assistant]
The property "continent" (wd:P30) is the most relevant for linking a country to its continent.

Now, I will construct a SPARQL query to find the continent(s) that Canada (wd:Q16) belongs to, using the property "continent" (wd:P30). I will also try to get the label of the continent for clarity, but will make it optional as per instructions.

[Tool]
Got 1 row and 2 columns:
| continent              | continentLabel     |
| ---------------------- | ------------------ |
| North America (wd:Q49) | North America (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the continent to which Canada belongs by querying the 'continent' property (wdt:P30) for Canada (wd:Q16). The result is accurate and matches the expected answer. The query also returns the IRI of the continent, as required. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?government WHERE {
  wd:Q30 wdt:P122 ?government .
}

Got 3 rows and 1 column:
| government                      |
| ------------------------------- |
| presidential system (wd:Q49892) |
| federal republic (wd:Q512187)   |
| republic (wd:Q7270)             |

The United States currently has a presidential system, a federal republic, and is classified as a republic according to Wikidata.

[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 http://amur:7001

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 kind of government does the united states have currently?

[Assistant]
Let's break down the question:

1. The user is asking about the current form or type of government of the United States.
2. We need to identify the entity for "United States" and the property that relates to "form of government" or "type of government".
3. We'll then construct a query to retrieve the current form of government for the United States.

First, I'll search for the entity representing the United States in Wikidata.

[Tool]
Top 10 entity alternatives:
1. United States, also known as the U.S. of A, United States of America, the US of America, United States of North America, U. S. (wd:Q30): country primarily located in North America
2. U.S. state, also known as U.S. states, US state, USA state, U.S.A. state, United States states (wd:Q35657): constituent political entity of the United States of America
3. United States (wd:Q3604334)
4. United States (wd:Q16959097): 2009 studio album by Paul Gilbert
5. United States (wd:Q3965121): television series
6. United States at the 2013 Summer Universiade, also known as United States (wd:Q17027772): sporting event delegation
7. United States (wd:Q110654358): article in The New International Encyclopædia
8. UNITED STATES (wd:Q93577393): scientific article published in September 1927
9. United States (wd:Q64146392)
10. United States (wd:Q73165358): scientific article published on 01 October 2000

[Assistant]
The most relevant entity for the United States as a country is wd:Q30.

Next, I need to find the property in Wikidata that represents "form of government" or "type of government". I'll search for properties related to "form of government".

[Tool]
Top 10 property alternatives:
1. basic form of government, also known as form of government, government, type of government (wd:P122 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): subject's government
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): seat of government of a country, province, state or other type of administrative territorial entity
3. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
4. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): political office that is fulfilled by the head of the government of this item
5. authority, also known as executive authority, governed by, governing authority, governing body, has authority (wd:P797 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): entity having executive power on given entity
6. voting system, also known as electoral system, voting system, type of election (wd:P8196 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): system used for this election or vote
7. Classification of the Functions of Government, also known as COFOG ID, COFOG number (wd:P9798 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): UN classification to compare government agencies across countries
8. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): political office that is fulfilled by the head of state of this item
9. country, also known as sovereign state, state, land, host country (wd:P17 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): text through which an institution or object has been created or established

[Assistant]
The property "basic form of government" (wd:P122) is the most relevant for identifying the form or type of government.

Now, I will construct a SPARQL query to retrieve the current form of government for the United States (wd:Q30) using the property "basic form of government" (wd:P122). I'll also try to get the label for the form of government for clarity.

[Tool]
Got 3 rows and 2 columns:
| government                      | governmentLabel          |
| ------------------------------- | ------------------------ |
| presidential system (wd:Q49892) | presidential system (en) |
| federal republic (wd:Q512187)   | federal republic (en)    |
| republic (wd:Q7270)             | republic (en)            |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the current forms of government for the United States by querying the 'basic form of government' property (wdt:P122) for the United States entity (wd:Q30). The answer accurately reflects the returned results, and the query follows the required guidelines. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?startTime WHERE {
  wd:Q33866 p:P39 ?statement .
  ?statement ps:P39 wd:Q11696 ; pq:P580 ?startTime .
}

Theodore Roosevelt took office as President of the United States on September 14, 1901.

[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 http://amur:7001

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 president theodore roosevelt take office?

[Assistant]
Let's break down the question:

1. The entity is "Theodore Roosevelt".
2. The property is "presidency" or "start of term as president".

First, I need to find the Wikidata entity for Theodore Roosevelt. Then, I need to find the property that indicates the start date of his presidency.

I'll start by searching for "Theodore Roosevelt" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Theodore Roosevelt, also known as Theodore Roosevelt, Jr., Teddy Roosevelt (wd:Q33866): 26th President of the United States from 1901 to 1909, husbandry worker, conservationist, autobiographer, ornithologist, statesperson, naturalist, politician, historian, explorer, essayist, diarist, writer
2. Theodore Roosevelt Sr., also known as Theodore Roosevelt, Theodore Roosevelt, Sr. (wd:Q3564517): American businessman, father of U.S. President Theodore Roosevelt (1831–1878), philanthropist, entrepreneur
3. Theodore Roosevelt, Rough Rider, also known as Equestrian statue of Roosevelt as rough‐rider, Roosevelt (Theodore), Rough Rider (wd:Q16169361): Bronze sculpture by Alexander Phimister Proctor
4. Theodore Roosevelt, also known as IMO 5235026 (wd:Q97990600): ship launched in 1920
5. Theodore Roosevelt (wd:Q19103041): speech by Leonard Wood
6. Theodore Roosevelt (wd:Q19103038): magazine article written by William Allen White
7. Theodore Roosevelt (wd:Q112205732): television miniseries
8. Rosa 'Theodore Roosevelt', also known as Theodore Roosevelt (wd:Q96278445): rose cultivar
9. Theodore Roosevelt (wd:Q124251263): male given name
10. Theodore Roosevelt (wd:Q28796800): painting by John Singer Sargent

[Assistant]
The correct entity for President Theodore Roosevelt is wd:Q33866.

Next, I need to find the property that indicates the start date of his presidency. This is likely related to "position held" (president) and a qualifier for "start time" or "start date".

I'll search for properties related to "start date" or "start time" for the entity wd:Q33866.

[Tool]
Top 10 property alternatives:
1. 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
2. video, also known as gif, animation, trailer, media (wd:P10 as p/wdt): relevant video. For images, use the property P18. For film trailers, qualify with "object has role" (P3831)="trailer" (Q622550)
3. Commons Creator page, also known as creator page, creator template (wd:P1472 as p/wdt): name of Commons Infobox template residing in "Creator" namespace on Wikimedia Commons
4. Commons gallery, also known as gallery (wd:P935 as p/wdt): name of the Wikimedia Commons gallery page(s) related to this item (is suitable to allow multiple links to more gallery pages)
5. military branch, also known as unit branch, service branch, formation, branch (wd:P241 as p/wdt): branch to which this military unit, award, office, or person belongs, e.g. Royal Navy, part of
6. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
7. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
8. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
9. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as p/wdt): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative
10. 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

No other items found

[Assistant]
It appears that searching for "start" as a property of Theodore Roosevelt directly did not yield the relevant property for the start of his presidency. The information about the start of a presidency is typically stored as a qualifier to the "position held" property.

Let me search for the property "position held" to confirm its property ID, and then check for qualifiers such as "start time" or "start date" that might be attached to it.

[Tool]
Top 10 property alternatives:
1. position held, also known as function, held position, holds position, job, office held (wd:P39 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): subject currently or formerly holds the object position or public office
2. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): persons who hold and/or held the position
3. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): position or specialism of a player on a team
4. expression, gesture or body pose, also known as action, expression, facial expression, gesture, movement (wd:P6022 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): qualifier on "depicts" (P180) for human position of an individual in an artwork
5. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): subject's ordinal position as qualitatively evaluated relative to other members of a group
6. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
7. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
8. office contested, also known as contested office, contested position, position contested (wd:P541 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): title of office which election will determine the next holder of
9. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): position of the head of this item
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant]
The property "position held" is wd:P39. Now, I need to find the property for "start time" or "start date" that is used as a qualifier for "position held".

I'll search for properties related to "start time".

[Tool]
Top 10 property alternatives:
1. start time, also known as start date, since, valid, join time, joined (wd:P580 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): 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 psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): time when an entity begins to exist; for date of official opening use P1619, start time
3. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
4. earliest date, also known as no earlier than, terminus post quem, start date (earliest), on or after this date, minimum date (wd:P1319 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): earliest date at which an event could have happened. Use as qualifier for other date properties
5. 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 psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): date of spacecraft launch in UTC
6. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): qualifier to narrow down the precision of a date not fully specified by the Wikidata time datatype precision field
7. point in time, also known as at time, as of, year, when, time of event (wd:P585 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
8. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): genomic starting coordinate of the biological sequence (e.g. a gene)
9. start point, also known as start location, launch pad, launch site, starting place, starting point (wd:P1427 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): starting place of this journey, flight, voyage, trek, migration etc., source of transfer, location
10. opening time, also known as hour opens, opens at, opening hour, open hour (wd:P8626 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): time when an establishment or attraction opens, qualifier for P3025

[Assistant]
The property "start time" is wd:P580, and it is commonly used as a qualifier to indicate when a position or event began.

Now, I need to construct a query to find when Theodore Roosevelt (wd:Q33866) held the position "President of the United States" and retrieve the "start time" qualifier for that position.

First, I need to confirm the entity for "President of the United States". I'll search for it.

[Tool]
Top 10 entity alternatives:
1. President of the United States, also known as US President, U.S. President, United States President, the president of the United States, President of the U.S. (wd:Q11696): head of state and head of government of the United States of America
2. cultural depictions of John F. Kennedy, also known as cultural depictions of JFK, cultural depictions of John Fitzgerald Kennedy, cultural depictions of President John F. Kennedy, cultural depictions of President Kennedy, President of the United States (wd:Q17512211): John F. Kennedy depicted in culture
3. President of the United States (wd:Q125680992): fictional position in the Grand Theft Auto video game series (HD)
4. Jimmy Carter, also known as James E. Carter, James Earl Carter, Jr., James E. Carter Jr., James E. Carter, Jr., 39th President of the United States (wd:Q23685): President of the United States from 1977 to 1981, human rights activist, environmentalist, autobiographer, businessperson, peace activist, naval officer, humanitarian, statesperson, submariner, politician, diplomat, engineer, novelist, farmer, writer
5. 2024 United States presidential election, also known as USA presidential election, 2024, US 2024 presidential election, POTUS 47, Harris v. Trump, Harris vs. Trump (wd:Q101110072): 60th quadrennial U.S. presidential election
6. Vice President of the United States, also known as President of the Senate, President of the United States Senate, United States Vice President, United States VP, USA VP (wd:Q11699): second-highest constitutional office in the United States
7. President of Mexico, also known as President of the United Mexican States (wd:Q628004): head of state of the country of Mexico
8. Executive Office of the President of the United States, also known as EOP, EOPOTUS, Executive Office of the President, The White House, United States Executive Office of the President (wd:Q1355327): U.S. federal government office of the president of the United States
9. President-elect of the United States, also known as President-Elect (wd:Q1467287): winning candidate of the U.S. presidential election in the time before inauguration
10. The Presidents of the United States of America, also known as Pot USA, PotUSA, PUSA, The Presidents, The Presidents of the United States (wd:Q176430): American rock band

[Assistant]
The correct entity for "President of the United States" is wd:Q11696.

Now, I will construct a SPARQL query to find the "start time" (wd:P580) when Theodore Roosevelt (wd:Q33866) held the position "President of the United States" (wd:Q11696).

I'll include the actual date and optionally the label for clarity.

[Tool]
Got 1 row and 1 column:
| startTime                           |
| ----------------------------------- |
| 1901-09-14T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the start time (date of taking office) for Theodore Roosevelt's presidency by querying his 'position held' statements for 'President of the United States' and extracting the 'start time'. The answer matches the expected date, and the query follows all guidelines, returning the actual value from the knowledge graph. No further refinement is needed.