PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?author ?authorLabel WHERE {
  wd:Q315296 wdt:P50 ?author .
  OPTIONAL {
    ?author rdfs:label ?authorLabel FILTER ( LANG( ?authorLabel ) = "en" )
  }
}
LIMIT 1

The author of the Erlangen program is Felix Klein.

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

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

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

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

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

[User] Who wrote the Erlangen program?

[Assistant]
To answer the question "Who wrote the Erlangen program?", I need to identify the entity "Erlangen program" in the knowledge graph and then find the property that relates this entity to its author or creator.

Step 1: Search for the entity "Erlangen program" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Erlangen program (wd:Q315296): research program on the symmetries of geometry
2. computer program, also known as program, software program (wd:Q40056): sequence of instructions written in programming language to perform a specified task with a computer
3. Erlangen, also known as Medical Valley (wd:Q3126): city in Bavaria, Germany
4. project, also known as effort, program, programme (wd:Q170584): collaborative enterprise, frequently involving research or design, that is carefully planned to achieve a particular aim
5. plan, also known as plans, program, programme (wd:Q1371819): outline of a strategy for achievement of an objective
6. programme, also known as program (wd:Q1508646): informational booklet given out before a live event
7. The Program, also known as Icon, Program (wd:Q15615185): 2015 film
8. educational program, also known as programme, program, educational programme (wd:Q5341296): program written by the institution of education which determines the learning progress of individuals
9. Erlangen, also known as Erlangen station (wd:Q800737): railway halt in the urban district of Erlangen, Middle Franconia, Germany
10. The Program, also known as Program (wd:Q826289): 1993 film by David S. Ward

[Assistant] The entity "Erlangen program" corresponds to wd:Q315296 in Wikidata. Now, I will look for the property that relates this entity to its author or creator. Common properties for authorship include "author" (P50) or "creator" (P170). I will check the statements for this entity to find the author.

[Tool]
Got 123 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                                                | object                                         |
| ----------------------------- | ------------------------------------------------------- | ---------------------------------------------- |
| Erlangen program (wd:Q315296) | instance of (wdt:P31)                                   | research (wd:Q42240)                           |
| Erlangen program (wd:Q315296) | Freebase ID (wdt:P646)                                  | /m/01k8tb                                      |
| Erlangen program (wd:Q315296) | Microsoft Academic ID (wdtn:P6366)                      | <https://makg.org/entity/111593780>            |
| Erlangen program (wd:Q315296) | Encyclopædia Britannica Online ID (wdt:P1417)           | topic/Erlanger-program                         |
| Erlangen program (wd:Q315296) | Lex ID (wdt:P8313)                                      | Erlangen-programmet                            |
| Erlangen program (wd:Q315296) | Encyclopedia of China (Third Edition) ID (wdt:P10565)   | 318393                                         |
| Erlangen program (wd:Q315296) | nLab ID (wdt:P4215)                                     | Erlangen program                               |
| Erlangen program (wd:Q315296) | ProofWiki ID (wdt:P6781)                                | Definition:Erlangen_Program                    |
| Erlangen program (wd:Q315296) | Treccani's Enciclopedia della Matematica ID (wdt:P9621) | programma-di-erlangen                          |
| Erlangen program (wd:Q315296) | schema:description                                      | research program on the symmetries of geometry |
| ...                           | ...                                                     | ...                                            |

[Assistant] The statements for the Erlangen program (wd:Q315296) do not explicitly show an author or creator property in the first 10 rows. I will specifically search for properties related to authorship or creators for this entity. I will search for properties of the Erlangen program entity related to "author" or "creator".

[Tool]
Top 10 property alternatives:
1. Microsoft Academic ID, also known as MS Academic ID, Microsoft ID, Microsoft Academic Work ID, Microsoft Academic topic ID, Microsoft Academic Source ID (wd:P6366 as wdtn/wdt/p): identifier for an object or topic in the Microsoft Academic Graph (until 31 December 2021)
2. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
4. Treccani's Enciclopedia della Matematica ID, also known as Enciclopedia della Matematica ID (wd:P9621 as wdt/p): identifier for a topic in Treccani's Enciclopedia della Matematica, an Italian encyclopedia regarding mathematics
5. Encyclopædia Britannica Online ID, also known as Encyclopaedia Britannica Online ID, Encyclopedia Britannica Online ID, EBID, EB ID, Britannica online ID (wd:P1417 as wdt/p): identifier for an article in the online version of Encyclopædia Britannica
6. ProofWiki ID, also known as Proof Wiki ID (wd:P6781 as wdt/p): identifier for a ProofWiki article
7. Encyclopedia of China (Third Edition) ID, also known as Encyclopedia of China ID (Third Edition) (wd:P10565 as wdt/p): identifier for an article in the online version of Encyclopedia of China (Third Edition)
8. Lex ID, also known as Den Store Danske ID, DSD ID (wd:P8313 as wdt/p): identifier of an article in the online encyclopedia.lex.dk

No other items found

[Assistant] There are no direct properties labeled as "author" or "creator" for the Erlangen program entity (wd:Q315296). I will try searching for the author of the Erlangen program by searching for the property "author" in general and then filtering for statements related to the Erlangen program. I will search for the property "author" (P50) and check if it is used with the Erlangen program.

[Tool] Got no rows and 3 columns

[Assistant] There are no statements with the property "author" (P50) pointing to the Erlangen program (wd:Q315296) as the object. I will try the property "creator" (P170) to see if it is used with the Erlangen program.

[Tool] Got no rows and 3 columns

[Assistant] There are no statements with the property "creator" (P170) pointing to the Erlangen program (wd:Q315296) as the object either. I will try to find the author by querying the Erlangen program entity for any property that might link to a person or author. I will look for properties of the Erlangen program that link to humans (instances of human).

[Tool] Got no rows and 4 columns

[Assistant]
There are no direct properties linking the Erlangen program (wd:Q315296) to a person (instance of human). I will try a different approach: I will search for the Erlangen program in Wikidata and check its description or related entities to find the author. Then I will search for the author by name.

I will first check the description of the Erlangen program entity.

[Tool]
Got 1 row and 1 column:
| ?description                                   |
| ---------------------------------------------- |
| research program on the symmetries of geometry |

[Assistant] The description of the Erlangen program is "research program on the symmetries of geometry." This does not mention the author directly. I will try to find the author by searching for the Erlangen program in Wikidata and checking if it is mentioned in the context of any mathematician or person known for this program. I will search for entities related to "Erlangen program" and "author" or "creator" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. author of radio programs (wd:Q115859623)
2. Author of anti-encryption program faces jail (wd:Q59070260): scientific article published in Nature
3. Authorship analysis: Identifying the author of a program (wd:Q115112333): scientific article published in 1995
4. Authorship analysis: identifying the author of a program (wd:Q115030418): scientific article published in 1997
5. CLASP, also known as Consortium of Local Authorities Special Programme (wd:Q5012674): scheme developed by English local authorities to design and assemble prefabricated buildings
6. Consortium of Local Authorities Special Programme (wd:Q5163391): association in England for the development of prefabricated school buildings
7. Evaluation of tuberculosis control program (author's transl) (wd:Q67318799): scientific article published on 01 February 1975
8. Security of the MVS Authorized Program Facility (wd:Q58446839): scholarly article in EDPACS: the EDP audit, control and security newsletter, vol. 18 no. 4, October 1990
9. Erlangen program (wd:Q315296): research program on the symmetries of geometry
10. ASO Author Reflections: Implemen...gram of Talimogene laherparepvec (wd:Q93020735): scientific article published on 12 November 2018

[Assistant]
The search for "author of Erlangen program" did not return a direct author entity. I will now try to find the author by searching for the Erlangen program and checking the statements for any linked mathematician or person. I will try to find the creator or author by searching for properties related to "creator" or "author" for the Erlangen program entity again, but this time I will also check qualifiers or references. Alternatively, I will try to find the author by searching for the Erlangen program in Wikipedia or other linked sources.

I will try to find the creator or author by searching for properties of the Erlangen program entity that are related to people or authors.

[Tool]
Top 10 property alternatives:
1. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
2. Microsoft Academic ID, also known as MS Academic ID, Microsoft ID, Microsoft Academic Work ID, Microsoft Academic topic ID, Microsoft Academic Source ID (wd:P6366 as wdtn/wdt/p): identifier for an object or topic in the Microsoft Academic Graph (until 31 December 2021)
3. Encyclopædia Britannica Online ID, also known as Encyclopaedia Britannica Online ID, Encyclopedia Britannica Online ID, EBID, EB ID, Britannica online ID (wd:P1417 as wdt/p): identifier for an article in the online version of Encyclopædia Britannica
4. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
5. ProofWiki ID, also known as Proof Wiki ID (wd:P6781 as wdt/p): identifier for a ProofWiki article
6. Lex ID, also known as Den Store Danske ID, DSD ID (wd:P8313 as wdt/p): identifier of an article in the online encyclopedia.lex.dk

No other items found

[Assistant] The search for the property "creator" related to the Erlangen program did not return any relevant properties linking to a person. I will try a different approach: I will search for the Erlangen program in Wikidata and check if it has a "described by source" or "stated in" property that might link to a publication or document mentioning the author. Then I can find the author from that source.

[Tool] Got no rows and 3 columns

[Assistant] There are no statements with the property "stated in" (P248) for the Erlangen program (wd:Q315296). I will try the property "described by source" (P1343) to see if it is used with the Erlangen program.

[Tool] Got no rows and 3 columns

[Assistant] There are no statements with the property "described by source" (P1343) for the Erlangen program (wd:Q315296). Since direct properties for the author or creator are not found, I will try to find the author by searching for the Erlangen program in Wikidata and checking if it is linked to any mathematician or person by other means. I will search for entities related to the Erlangen program and check if any of them are humans. I will search for entities with labels containing "Erlangen program" and check their relations.

[Tool]
Top 10 entity alternatives:
1. Erlangen program (wd:Q315296): research program on the symmetries of geometry
2. Code stylometry, also known as program authorship attribution, source code authorship analysis (wd:Q56275944): application of stylometry to computer code
3. Program test authority (wd:Q7248436): after a construction permit but before a broadcast license
4. Authoritative Recommendations Program (wd:Q119013299): publication published in 2022
5. Authorized Program Analysis Report, also known as APAR (wd:Q48803269): An APAR (Authorized Program Analysis Report) is an IBM designati... to identify situations that could result in potential problems.
6. Microsoft Authorized Refurbisher Program, also known as MAR (wd:Q15835159): program by Microsoft
7. Book and Author Programme (wd:Q131933547)
8. Computer program detects author gender (wd:Q128190724): scholarly article
9. Authoritative Recommendations Program (superseded) (wd:Q66475694): superseded NIOSH program performance one-pager published in 2018
10. Authoritative Recommendations Program (superseded) (wd:Q112236315): superseded publication published in 2021

[Assistant] The search for "Erlangen program author" did not return a direct author entity. I will try a different approach: I know from general knowledge that the Erlangen program was written by Felix Klein. I will verify this by searching for Felix Klein in Wikidata and checking if he is linked to the Erlangen program as its author or creator.

[Tool]
Top 10 entity alternatives:
1. Felix Klein, also known as Felix Christian Klein, F. Klein, Christian Felix Klein (wd:Q76641): German mathematician, author of the Erlangen Program (1849-1925), historian of mathematics, university teacher, mathematician, politician, publisher
2. Félix Klein (wd:Q16750728): Catholic priest, French priest
3. Felix Klein (wd:Q52062894): diplomat, jurist
4. Felix Klein (wd:Q106618632): photograph by Georg Brokesch
5. Felix Klein (wd:Q120614781): German film producer, film producer
6. Felix Klein (wd:Q27526592): chess player
7. Felix Klein (wd:Q95319364)
8. Felix Klein, also known as F. Klein (wd:Q58181951): researcher, ORCID id # 0000-0002-3680-4735, researcher
9. Félix Klein (wd:Q133262954): Holocaust victim
10. Felix Klein Prize (wd:Q1403571)

[Assistant] The entity for Felix Klein, the German mathematician and author of the Erlangen Program, is wd:Q76641. I will now check if Felix Klein (wd:Q76641) is linked to the Erlangen program (wd:Q315296) as its author or creator. I will look for properties linking Felix Klein to the Erlangen program.

[Tool]
Got 846 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                         | object                                                                             |
| ----------------------- | -------------------------------- | ---------------------------------------------------------------------------------- |
| Felix Klein (wd:Q76641) | instance of (wdt:P31)            | human (wd:Q5)                                                                      |
| Felix Klein (wd:Q76641) | occupation (wdt:P106)            | politician (wd:Q82955)                                                             |
| Felix Klein (wd:Q76641) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                 |
| Felix Klein (wd:Q76641) | given name (wdt:P735)            | Christian (wd:Q18001597)                                                           |
| Felix Klein (wd:Q76641) | date of birth (wdt:P569)         | 1849-04-25T00:00:00Z                                                               |
| Felix Klein (wd:Q76641) | Commons category (wdt:P373)      | Felix Klein                                                                        |
| Felix Klein (wd:Q76641) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Felix%20Christian%20Klein.jpg> |
| Felix Klein (wd:Q76641) | country of citizenship (wdt:P27) | German Empire (wd:Q43287)                                                          |
| Felix Klein (wd:Q76641) | family name (wdt:P734)           | Klein (wd:Q428024)                                                                 |
| Felix Klein (wd:Q76641) | described at URL (wdt:P973)      | <http://www.digiporta.net/index.php?id=317558065>                                  |
| ...                     | ...                              | ...                                                                                |

[Assistant] There are many properties for Felix Klein (wd:Q76641). I will now check if there is a property linking Felix Klein to the Erlangen program (wd:Q315296). I will specifically look for statements where Felix Klein is the subject and the Erlangen program is the object.

[Tool]
Got 1 row and 3 columns:
| subject                 | property                | object                        |
| ----------------------- | ----------------------- | ----------------------------- |
| Felix Klein (wd:Q76641) | notable work (wdt:P800) | Erlangen program (wd:Q315296) |

[Assistant]
Felix Klein (wd:Q76641) has the property "notable work" (wdt:P800) with the object Erlangen program (wd:Q315296). This indicates that Felix Klein is the author of the Erlangen program.

I will now formulate the final SPARQL query to retrieve the author of the Erlangen program.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?character ) AS ?count ) WHERE {
  ?character wdt:P31 wd:Q95074 ; wdt:P21 wd:Q6581072 ; wdt:P106 wd:Q11397897 .
}

Got 1 row and 1 column:
| ?count |
| ------ |
| 6      |

There are 6 fictional female swordfighters in 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 https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

[User] How many fictional female swordfighters are there?

[Assistant]
To answer the question "How many fictional female swordfighters are there?" we need to identify entities that are fictional characters, female, and swordfighters.

Step 1: Identify the relevant Wikidata properties and entities:
- Fictional character: Wikidata entity Q95074
- Female: Wikidata property P21 (sex or gender) with value Q6581072 (female)
- Swordfighter: We need to find a suitable property or occupation related to swordfighting.

Step 2: Search for the occupation or role related to swordfighting to find the appropriate property or entity.

I will start by searching for the entity "swordfighter" or related terms to find the correct occupation or role.

[Tool]
Top 10 entity alternatives:
1. swordfighter, also known as sword-fighter, swordsman, swordsmen, swordswoman (wd:Q11397897): person who fights with a sword
2. The tale of the sword - swords a...ordfighters in Bronze Age Europe (wd:Q56826244): scholarly article by Kristian Kristiansen published in November 2002
3. Tales of Hoards and Swordfighter...ia: The Brand New and the Broken (wd:Q58587763): scholarly article by Lene Melheim published in January 2014

[Assistant]
The entity wd:Q11397897 corresponds to "swordfighter," defined as a person who fights with a sword. This is suitable for our query.

Next, I will verify the entity for fictional character and female gender:
- Fictional character: wd:Q95074
- Female: wd:Q6581072

Now, I will build a SPARQL query to count the number of fictional female swordfighters. The query will look for entities that are instances of fictional characters, have the gender female, and have the occupation swordfighter. I will execute this query to get the count.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 6      |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?inception WHERE {
  wd:Q71719 wdt:P571 ?inception .
}

The Hollywood Walk of Fame opened in the year 1958.

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

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

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

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

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

[User] In what year did the Hollywood Walk of Fame open?

[Assistant] To answer the question about the year the Hollywood Walk of Fame opened, I will first search for the entity "Hollywood Walk of Fame" in Wikidata to find its identifier. Then I will look for the property related to the opening date or inception year of this entity.

[Tool]
Top 10 entity alternatives:
1. Hollywood Walk of Fame, also known as Walk of Fame (wd:Q71719): more than 2,700 five-pointed terrazzo and brass stars embedded i...ulevard and three blocks of Vine Street in Hollywood, California
2. star on Hollywood Walk of Fame, also known as Hollywood Walk of Fame star (wd:Q17985761): award in the Hollywood Walk of Fame, Hollywood, California, United States
3. Hollywood's Rock Walk of Fame (wd:Q3139400)
4. Walk of Fame (wd:Q48673901): 2017 film by Jesse Thomas
5. Walk of Fame (wd:Q51084447): street in Saint Petersburg, Russia
6. Starr gets star; Ringo added to Hollywood Walk of Fame (wd:Q18021457): Wikinews article
7. Walk of Fame (wd:Q7962075): memorial for famous dogs in Battersea Park, London, England, UK
8. walk of fame (wd:Q47502370): sidewalk or similar construction that commemorates outstanding individuals in a particular group
9. Walk of Fame (wd:Q114476628): episode of Cupcake Wars (S2 E11)
10. Walk of Fame, also known as Wigan's Walk of Fame, Believe Square (wd:Q121879112): public walkway in Wigan, England

[Assistant] The entity "Hollywood Walk of Fame" corresponds to wd:Q71719. Next, I will look for the property related to the opening date or inception year of this entity. Common properties for this type of information are "inception" (P571) or "date of official opening" if available. I will check the properties of this entity to find the relevant date.

[Tool]
Got 457 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                                                    | object                                                                    |
| ---------------------------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------- |
| Hollywood Walk of Fame (wd:Q71719) | instance of (wdt:P31)                                       | monument (wd:Q4989906)                                                    |
| Hollywood Walk of Fame (wd:Q71719) | title (wdt:P1476)                                           | Hollywood Walk of Fame                                                    |
| Hollywood Walk of Fame (wd:Q71719) | country (wdt:P17)                                           | United States (wd:Q30)                                                    |
| Hollywood Walk of Fame (wd:Q71719) | located in the administrative territorial entity (wdt:P131) | Los Angeles (wd:Q65)                                                      |
| Hollywood Walk of Fame (wd:Q71719) | coordinate location (wdt:P625)                              | POINT(-118.344967 34.101400)                                              |
| Hollywood Walk of Fame (wd:Q71719) | Commons category (wdt:P373)                                 | Hollywood Walk of Fame                                                    |
| Hollywood Walk of Fame (wd:Q71719) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Walk%20of%20fame.JPG> |
| Hollywood Walk of Fame (wd:Q71719) | part of (wdt:P361)                                          | Hollywood Boulevard (wd:Q868616)                                          |
| Hollywood Walk of Fame (wd:Q71719) | location (wdt:P276)                                         | Hollywood (wd:Q34006)                                                     |
| Hollywood Walk of Fame (wd:Q71719) | inception (wdt:P571)                                        | 1958-01-01T00:00:00Z                                                      |
| ...                                | ...                                                         | ...                                                                       |

[Assistant]
The property "inception" (wdt:P571) for the Hollywood Walk of Fame (wd:Q71719) has the value "1958-01-01T00:00:00Z," which indicates the year 1958. This likely corresponds to the year the Hollywood Walk of Fame opened.

I will now formulate a SPARQL query to retrieve this inception date for confirmation.

[Tool]
Got 1 row and 1 column:
| ?inception           |
| -------------------- |
| 1958-01-01T00:00:00Z |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( ?language ) AS ?count ) WHERE {
  wd:Q843 wdt:P37 ?language .
}

Got 1 row and 1 column:
| ?count |
| ------ |
| 2      |

Pakistan has 2 official languages.

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

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

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

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

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

[User] How many official languages has Pakistan ?

[Assistant]
To answer the question "How many official languages has Pakistan?", I need to identify the entity for Pakistan and the property that relates to official languages. Then, I will count the number of official languages associated with Pakistan.

Step 1: Search for the entity "Pakistan" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Pakistan, also known as Islamic Republic of Pakistan, PAK, pk, Republic of Pakistan (wd:Q843): sovereign state in South Asia
2. Dominion of Pakistan, also known as Pakistan (wd:Q2006542): period of Pakistani history between 1947 to 1956
3. West Pakistan, also known as Pakistan (wd:Q2342822): Western Wing of Pakistan between 1947–1970
4. Pakistan (wd:Q4121082): village in Purnia district, Bihar, India
5. Urdu 1, also known as Pakistan (wd:Q2786023): Pakistani Urdu-language television network
6. Pakistan (wd:Q57206806): village in Cameroon
7. Pakistan (wd:Q122963846): 2023 single by D-Block Europe and Clavish
8. Khan Bela, also known as Liaqatpur, Pakistan, Rahim Yar Khan (wd:Q31308479): Khan Bela is a city in Rahim Yar Khan District, Punjab, Pakistan...is {{cvt|90|km|mile}} from Khan Bela and Bahawalpur is {{cvt|105
9. Pakistan (wd:Q87704056): scientific article published on 01 November 1987
10. Pakistan (wd:Q99573810): scientific article published on 01 October 2020

[Assistant] The entity for the sovereign state Pakistan is wd:Q843. Next, I will search for the property related to "official language" to find the official languages of Pakistan.

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): language designated as official by this item, language used
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): label for the items in their official language  or their original language, name
3. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): regulatory body of a language
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): language or languages a person has learned from early childhood, languages spoken, written or signed
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): language widely used (spoken or written) in this place or at this event or organisation
8. 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 psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. programmed in, also known as language, programming language, written in (wd:P277 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): the programming language(s) in which the software is developed
10. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): language in which the writer has written their work, languages spoken, written or signed

[Assistant] The property "official language" corresponds to wd:P37. Now I will write a SPARQL query to count the number of official languages of Pakistan (wd:Q843) using the property wd:P37.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 2      |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?creator ?creatorLabel WHERE {
  wd:Q16889037 wdt:P170 ?creator .
  OPTIONAL {
    ?creator rdfs:label ?creatorLabel FILTER ( LANG( ?creatorLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| ?creator                     | ?creatorLabel  |
| ---------------------------- | -------------- |
| Tina Fey (wd:Q14540)         | Tina Fey       |
| Robert Carlock (wd:Q7342763) | Robert Carlock |

The creators of Unbreakable Kimmy Schmidt are Tina Fey and Robert Carlock.

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

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

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

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

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

[User] Who was the creator of Unbreakable Kimmy Schmidt ?

[Assistant] To answer the question "Who was the creator of Unbreakable Kimmy Schmidt?", I will first search for the entity "Unbreakable Kimmy Schmidt" in Wikidata to get its identifier. Then, I will look for the property that corresponds to the creator or creator-like role for this entity. Finally, I will retrieve the creator(s) of "Unbreakable Kimmy Schmidt".

[Tool]
Top 10 entity alternatives:
1. Unbreakable Kimmy Schmidt (wd:Q16889037): American comedy streaming television series
2. Unbreakable Kimmy Schmidt, season 1 (wd:Q21186375): season of television series
3. Unbreakable Kimmy Schmidt, season 4 (wd:Q54847377): season of television series
4. Unbreakable Kimmy Schmidt, season 3 (wd:Q30158232): season of television series
5. Unbreakable Kimmy Schmidt, season 2 (wd:Q25093973): season of television series
6. Unbreakable Kimmy Schmidt theme song (wd:Q28787990): song
7. Unbreakable Kimmy Schmidt: Kimmy vs. the Reverend, also known as Kimmy vs. the Reverend, Unbreakable Kimmy Schmidt: Kimmy vs the Reverend (wd:Q98708760): 2020 interactive film directed by Claire Scanlon
8. Kimmy Schmidt, also known as Kimberly Cougar Schmidt, Kimberly Schmidt (wd:Q23017207): fictional Protagonist of Unbreakable Kimmy Schmidt
9. Käthe Kollwitz, also known as Kėte Kolʹvit︠s︡, Käthe Schmidt Kollwitz, Kʻo-le-hui-chih, Kathe Schmidt, Käthe Schmidt (wd:Q142472): German printmaker and sculptor (1867–1945), architectural draftsperson, graphic artist, autobiographer, poster artist, draftsperson, lithographer, illustrator, printmaker, sculptor, designer, painter, artist
10. Unbreakable (wd:Q650613): 2000 film directed by M. Night Shyamalan

[Assistant] The entity "Unbreakable Kimmy Schmidt" corresponds to wd:Q16889037 in Wikidata. Next, I will search for properties related to the creator or creator-like role for this entity. I will search for properties with the query "creator" for this entity.

[Tool]
Top 10 property alternatives:
1. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt/p): maker of this creative work or other object (where no more specific property exists)
2. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
3. composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as wdt/p): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator
4. original language of film or TV show, also known as media language, original language, language of the original work, created on language (wd:P364 as wdt/p): language in which a film or a performance work was originally cr... works and songs; use P407 ("language of work or name") instead., language of work or name
5. producer, also known as music producer, record producer, produced by, film producer, creative producer (wd:P162 as wdt/p): person(s) who produced the film, musical work, theatrical produc...etc.) [for production company, use P272, video games - use P178]
6. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
7. title, also known as name, titled, page name, original title, known as (wd:P1476 as wdt/p): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdt/p): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt/p): time an entity begins to exist or a statement starts being valid, point in time
10. MusicBrainz artist ID, also known as MB artist ID, MBID artist (wd:P434 as wdtn/wdt/p): identifier for an artist in the MusicBrainz open music encyclopedia

No other items found

[Assistant] The property "creator" (wdt:P170) is the most suitable property to find the creator of "Unbreakable Kimmy Schmidt" (wd:Q16889037). I will now write a SPARQL query to get the creator(s) of this TV series.

[Tool]
Got 2 rows and 2 columns:
| ?creator                     | ?creatorLabel  |
| ---------------------------- | -------------- |
| Tina Fey (wd:Q14540)         | Tina Fey       |
| Robert Carlock (wd:Q7342763) | Robert Carlock |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( ?film ) AS ?count ) WHERE {
  ?film wdt:P57 wd:Q8006 .
  ?film wdt:P31 wd:Q11424 .
}

Got 1 row and 1 column:
| ?count |
| ------ |
| 32     |

Akira Kurosawa directed 32 movies 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 https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

[User] How many movies were directed by Akira Kurosawa ?

[Assistant]
To answer the question "How many movies were directed by Akira Kurosawa?", I need to:

1. Identify the entity for Akira Kurosawa in Wikidata.
2. Identify the property that represents "director" or "directed by" for movies.
3. Count the number of movies where Akira Kurosawa is the director.

First, I will search for the entity "Akira Kurosawa" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Akira Kurosawa, also known as Kurosawa Akira, Kurosawa (wd:Q8006): Japanese filmmaker (1910–1998), film producer, film director, screenwriter, film editor, producer, director, painter, writer
2. Akira Kurosawa (wd:Q95472952): former JGSDF officer, military officer
3. Akira Kurosawa (wd:Q110408919): fictional character from the television series The Simpsons, waiter, sensei
4. Akira Kurosawa bibliography (wd:Q17003557)
5. Ak: Akira Kurosawa (wd:Q123305558): 1985 film by Chris Marke
6. Dreams, also known as Akira Kurosawa's Dreams (wd:Q418809): 1990 film by Akira Kurosawa, Ishirō Honda
7. Criticism of Akira Kurosawa (wd:Q5186786): negative criticisms of the Japanese film director
8. filmmaking technique of Akira Kurosawa (wd:Q30154500)
9. The Films of Akira Kurosawa (wd:Q124077496)
10. Akira Kurosawa’s Natural Story (wd:Q119422666)

[Assistant] The entity for Akira Kurosawa as a Japanese filmmaker is wd:Q8006. Next, I need to find the property that represents the director of a movie. I will search for properties related to "director" in Wikidata.

[Tool]
Top 10 property alternatives:
1. director / manager, also known as leader, manager, manager/director, managing director, Officer-in-Charge (wd:P1037 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): person who manages any kind of group, significant person
2. director, also known as film director, movie director, game director, directed by (wd:P57 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): director(s) of film, TV-series, stageplay, video game or similar, contributor to the creative work or subject, creator
3. editor-in-chief, also known as lead editor, managing editor, executive editor, editor in chief, directed by (wd:P5769 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): a publication's editorial leader who has final responsibility fo...publishing articles or books in collections or periodical papers
4. 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 psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): position of the head of this item
5. creative director (wd:P12617 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): person who makes high-level creative decisions, director
6. assistant director, also known as second unit director (wd:P5126 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): assistant stage director of a performing arts, film or television production
7. artistic director (wd:P8938 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): person responsible for the overall artistic vision of an organization and for its execution. See also P3174 for works., director / manager
8. art director, also known as artistic director (wd:P3174 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): person credited as the art director/artistic director of this wo... designers, lighting designers; See also P8938 for organizations
9. director of photography, also known as cinematographer, DOP (wd:P344 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): person responsible for the framing, lighting, and filtration of the subject work, film crew member
10. director of archaeological fieldwork, also known as dig director, director of excavations, excavation director (wd:P4345 as psv/prn/pq/psn/pqn/p/prv/wdtn/ps/pqv/wdt/pr): person leading the archaeological or anthropological investigation at a given site, significant person

[Assistant] The property for "director" of a film is wd:P57. Now I will write a SPARQL query to count the number of movies (films) directed by Akira Kurosawa (wd:Q8006). I will count the number of items that have Akira Kurosawa as the director (wdt:P57) and are instances of a film (wdt:P31 wd:Q11424).

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 32     |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?industry ?industryLabel WHERE {
  wd:Q170022 wdt:P1830 ?business .
  ?business wdt:P452 ?industry .
  OPTIONAL {
    ?industry rdfs:label ?industryLabel FILTER ( LANG( ?industryLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| ?industry                       | ?industryLabel     |
| ------------------------------- | ------------------ |
| financial services (wd:Q837171) | financial services |

The House of Medici owns a business in the financial services industry.

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

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

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

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

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

[User] In which industry does the House of Medici own a business?

[Assistant] To answer the question "In which industry does the House of Medici own a business?", I will first identify the entity "House of Medici" in Wikidata. Then, I will look for properties related to ownership of businesses or companies and find the industries associated with those businesses owned by the House of Medici.

[Tool]
Top 10 entity alternatives:
1. House of Medici, also known as Medici, Medici family (wd:Q170022): royal family
2. Xtian de Medici, also known as House of Medici, Medici (wd:Q67090917): Luxury brand fashion house
3. House of Medici of Ottajano, also known as Medici di Ottaiano, Medici di Ottajano, Princes of Ottajano (wd:Q3922038): Italian noble family
4. House of Medici-Tornaquinci, also known as House of Medici Tornaquinci (wd:Q124362845): Tuscan noble family
5. Genius of House of Medici, also known as Genio di Casa Medici (wd:Q126003839): statue in Palazzo Pitti, Florence, Italy, by Bartolomeo Ammannati
6. House of Medici di Melegnano, also known as Medici di Marignano, Medici di Melegnano (wd:Q65127246): Italian noble family
7. coat of arms of the House of Medici, also known as the House of Medici coat of arms, House of Medici coat of arms (wd:Q3972987)
8. House of Medici del Vascello (wd:Q97160588): Italian noble family
9. The House of Medicine (wd:Q35655376): scientific article published on July 1967
10. The house of medicine (wd:Q70468758): scientific article published on 01 July 1972

[Assistant] The most relevant entity for "House of Medici" is wd:Q170022, which represents the royal family known as the House of Medici. Next, I will search for properties related to ownership of businesses or companies for this entity.

[Tool]
Top 10 property alternatives:
1. owner of, also known as owns, owns property, shareholder of (wd:P1830 as wdt/p): entities owned by the subject
2. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
3. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
4. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
6. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as wdt/p): object depicting this subject (object being creative works such as books, films, paintings)
7. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
8. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
9. DDB person (GND) ID, also known as DDB ID, DDB person ID (wd:P13049 as wdt/p): identifier for a person in the Deutsche Digitale Bibliothek (DDB); identifier same as the person's GND ID, GND ID
10. Wolfram Language entity code, also known as WL entity code, Wolfram entity code, WL entity (wd:P4839 as wdt/p): input form for an entity in Wolfram Language

No other items found

[Assistant] The property "owner of" (wdt:P1830) is relevant for ownership of businesses or entities. I will now query the businesses or entities owned by the House of Medici (wd:Q170022) using this property and then find the industries associated with those businesses.

[Tool]
Got 1 row and 2 columns:
| ?business                | ?businessLabel |
| ------------------------ | -------------- |
| Medici Bank (wd:Q806191) | Medici Bank    |

[Assistant] The House of Medici owns the Medici Bank (wd:Q806191). Now I will find the industry of the Medici Bank.

[Tool]
Got 1 row and 2 columns:
| ?industry                       | ?industryLabel     |
| ------------------------------- | ------------------ |
| financial services (wd:Q837171) | financial services |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?island ?islandLabel WHERE {
  wd:Q3630 wdt:P706 ?island .
  ?island wdt:P31 wd:Q23442 .
  OPTIONAL {
    ?island rdfs:label ?islandLabel FILTER ( LANG( ?islandLabel ) = "en" )
  }
}
LIMIT 10

The Indonesian capital Jakarta is located on the island of Java.

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

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

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

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

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

[User] On which island is the Indonesian capital located?

[Assistant]
Step 1: Identify the Indonesian capital city entity. The capital of Indonesia is Jakarta, so I will search for the entity "Jakarta" in Wikidata to confirm its identifier.

I will now search for the entity "Jakarta".

[Tool]
Top 10 entity alternatives:
1. Jakarta, also known as Jakarta, Indonesia, Jakarta Province, DKI Jakarta, Special Capital Region of Jakarta, Specific Region of Jakarta (wd:Q3630): city and smallest province of Indonesia
2. Jakarta, also known as Jakarta Province, Specific Region of Jakarta, Special Capital Region of Jakarta, Jakarta, Indonesia, DKI Jakarta (wd:Q3630): city and smallest province of Indonesia
3. Batavia, also known as Betuwe, Djakarta, Jakarta, Betawi (wd:Q1199713): capital of the Dutch East Indies (1619–1949), now the city of Jakarta
4. Jakarta (wd:Q4177898): French electronic music project
5. Jakarta (wd:Q11716285): Serbian and former Yugoslav rock band
6. Jakarta Jakarta (wd:Q56411470): film
7. Jakarta (wd:Q16168166): 2000 film by Jeong Cho-sin
8. Jakarta! (wd:Q20716109): 2012 novel
9. Jakarta (wd:Q16736749): story by Alice Munro
10. Jakarta Jakarta (wd:Q31174928): album

[Assistant]
The entity for the Indonesian capital city Jakarta is wd:Q3630.

Step 2: Determine the property that relates a city to the island it is located on. I will search for properties related to the entity Jakarta (wd:Q3630) with the query "island" to find the appropriate property.

I will now search for properties of the entity Jakarta related to "island".

[Tool]
Top 10 property alternatives:
1. 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 wdt/p): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
2. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as wdt/p): body of water on or next to which a place is located, location
3. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
4. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt/p): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
5. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as wdt/p): (list of) direct subdivisions of an administrative territorial entity, has part(s)
6. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as wdt/p): height of the item (geographical object) as measured relative to sea level
7. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
8. continent (wd:P30 as wdt/p): continent of which the subject is a part, located in/on physical feature
9. population, also known as inhabitants, human population (wd:P1082 as wdt/p): number of people inhabiting the place; number of people of subject
10. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as wdt/p): area occupied by an object

No other items found

[Assistant]
The property "located in/on physical feature" (wdt:P706) is suitable to find the island on which a city is located.

Step 3: Use this property to find the island on which Jakarta (wd:Q3630) is located.

I will now write and execute a SPARQL query to find the island on which Jakarta is located using property wdt:P706.

[Tool]
Got 1 row and 2 columns:
| ?island         | ?islandLabel |
| --------------- | ------------ |
| Java (wd:Q3757) | Java         |

[Tool] Stopped generation process


PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?year WHERE {
  wd:Q169452 p:P166 ?awardStatementShaq .
  ?awardStatementShaq ps:P166 wd:Q674359 .
  ?awardStatementShaq pq:P585 ?year .
  wd:Q25369 p:P166 ?awardStatementKobe .
  ?awardStatementKobe ps:P166 wd:Q674359 .
  ?awardStatementKobe pq:P585 ?year .
}

Shaquille O'Neal and Kobe Bryant received the All-NBA Team awards in the same year 4 times: 2002, 2003, 2004, and 2006.

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

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

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

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

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

[User] How many All-NBA Team awards have Shaquille O'Neal and Kobe Bryant received in the same year?

[Assistant]
To answer this question, I need to find the years in which both Shaquille O'Neal and Kobe Bryant received the All-NBA Team awards and then count how many such years exist.

Step 1: Identify the entities for Shaquille O'Neal and Kobe Bryant in Wikidata.
Step 2: Identify the property for the All-NBA Team award.
Step 3: Find the years in which Shaquille O'Neal received the All-NBA Team award.
Step 4: Find the years in which Kobe Bryant received the All-NBA Team award.
Step 5: Find the intersection of these years and count them.

I will start with Step 1 by searching for the entities of Shaquille O'Neal and Kobe Bryant.

[Tool]
Top 10 entity alternatives:
1. Shaquille O'Neal, also known as Shaquille O’Neal, Shaquille Rashaun O'Neal, Shaq O'Neal, Shaquille Rashaun O’Neal, Shaq (wd:Q169452): American basketball player, real estate entrepreneur, television producer, sports commentator, basketball player, businessperson, film producer, screenwriter, film actor, Thai boxer, podcaster, singer, rapper, actor
2. Shaquille O'Neal (wd:Q125446160): episode of All That (S5 E3)
3. Shaquille Cleare, also known as Shaquille O'Neal Cleare (wd:Q61953486): college basketball player (2013–2017) Maryland; Texas, basketball player
4. Shaquille O'Neal Motors (wd:Q114535400): episode of Fresh Off the Boat (S2 E3)
5. Shaq Belson, also known as Shaquille Belson, Shaquille O'Neal Belson (wd:Q106725566): American American football player, American football player
6. Shaquille Allen, also known as Shaquille O'Neal Allen (wd:Q106725550): American football player
7. Upload with Shaquille O'Neal (wd:Q7898386): American comedy television series
8. Statue of Shaquille O'Neal (wd:Q114363921): sculpture in Los Angeles, California, U.S
9. The Best of Shaquille O'Neal (wd:Q7717219): album by Shaquille O'Neal
10. A Message from Shaquille O'Neal (wd:Q110058550): sketch from Saturday Night Live

[Tool]
Top 10 entity alternatives:
1. Kobe Bryant, also known as Kobe Bean Bryant, Kobe B. Bryant, Kobe, KB24, Black Mamba (wd:Q25369): American basketball player (1978–2020), professional athlete, basketball player, screenwriter
2. Kobe Bryant Day (wd:Q98969272): proposed Federal Holiday
3. death of Kobe Bryant, also known as Kobe Bryant death, Kobe Bryant's death (wd:Q83737550): 26 January 2020 death of Kobe Bryant in helicopter crash
4. Kobe Bryant Boulevard (wd:Q107299206): proposed street renaming in Los Angeles
5. NBA All-Star Game Kobe Bryant Most Valuable Player Award, also known as Kobe Bryant Most Valuable Player Award, Kobe Bryant MVP Award, NBA All-Star Game Kobe Bryant MVP Award (wd:Q31391): basketball award of the National Basketball Association (NBA)
6. Kobe Bryant China Fund (wd:Q6424297): for education, sports, and culture programs for children from China and the United States
7. Statue of Kobe Bryant (wd:Q125101336): sculpture in Los Angeles, California, U.S
8. Kobe Bryant/Ice Cube (wd:Q125446155): episode of All That (S4 E19)
9. Kobe Bryant sexual assault case (wd:Q6424298): legal case
10. Kobe Bryant in NBA Courtside (wd:Q3198120): 1998 video game

[Assistant]
The entities for Shaquille O'Neal and Kobe Bryant are wd:Q169452 and wd:Q25369 respectively.

Next, I will search for the property related to the "All-NBA Team" award.

[Tool]
Top 10 property alternatives:
1. Basketball Reference international player ID, also known as BRCIP, Basketball Reference player ID, Basketball-Reference.com Europe player ID, Basketball-Reference.com international player ID (wd:P4790 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): identifier for a basketball player in a non-U.S. league on Basketball-Reference.com
2. Basketball Reference NBA player ID, also known as Basketball-Reference.com NBA player ID, BRCNBA (wd:P2685 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): identifier for a NBA player on the Basketball Reference website
3. NBA.com player ID (wd:P3647 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): identifier for a basketball player on the National Basketball Association's website
4. Hoopla artist ID, also known as hoopladigital.com (wd:P6868 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): identifier for an individual on Hoopla
5. Eurobasket.com player ID, also known as Eurobasket.com ID, eurobasket.com identifier (wd:P3527 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): ID for a basketball player at Eurobasket.com
6. Basketball Reference NBA coach ID, also known as Basketball-Reference.com NBA coach ID (wd:P4718 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): identifier for a NBA coach on the Basketball Reference website
7. ESPN.com NBA player ID, also known as ESPN NBA player ID (wd:P3685 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): identifier for a National Basketball Association player at ESPN.com
8. Basketball Reference NBA G League player ID, also known as Basketball-Reference.com NBA G League player ID, Basketball-Reference.com NBDL player ID, BRCNBAG (wd:P4744 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): identifier for an NBA G League (formerly NBDL) player on the Basketball Reference website
9. FIBA.com player ID (archived), also known as FIBA.com player ID, FIBA ID, FIBA identifier, FIBA player ID (wd:P3542 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): identifier for a basketball player at archive.FIBA.com
10. FIBA.basketball player ID, also known as FIBA.basketball ID, FIBA player ID, FIBA identifier, FIBA ID (wd:P12338 as wdtn/wdt/p/pqn/prn/pq/pr/psn/prv/psv/ps/pqv): identifier for a basketball player at www.FIBA.basketball

[Assistant] The search for the property "All-NBA Team" did not return a direct property related to the award. I will try searching for the award itself as an entity to see if it exists in Wikidata.

[Tool]
Top 10 entity alternatives:
1. All-NBA Team (wd:Q674359): National Basketball Association honor
2. All-NBA Development League Team (wd:Q4728301): American baseball honor
3. team (wd:Q327245): group linked in a common purpose
4. Team (wd:Q15054311): Lorde song
5. TEAM (wd:Q528227): Slovak rock music group
6. &TEAM, also known as andTeam (wd:Q112834233): Japanese boy band
7. Team (wd:Q23084914): 2016 song by Iggy Azalea
8. .team (wd:Q20577252): top-level domain
9. The Evangelical Alliance Mission, also known as TEAM (wd:Q7732630): Evangelical Christian mission organization
10. Transmission Electron Aberration-Corrected Microscope, also known as TEAM (wd:Q7834620): aberration-correction microscopes in the Lawrence Berkeley National Laboratory

[Assistant]
The entity for the All-NBA Team award is wd:Q674359.

Next, I will find the property that links a player to the All-NBA Team award or the years they received it. I will search for properties of Shaquille O'Neal related to awards or honors.

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
2. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as wdt/p): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
3. competition won, also known as won event, won, winner of, victory (wd:P2522 as wdt/p): competition or sports event won by the subject, participant in
4. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as wdt/p): musical instrument that a person plays or teaches or used in a music occupation, uses
5. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as wdt/p): sports teams or clubs that the subject represents or represented, member of
6. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
7. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as wdt/p): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
8. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
9. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as wdt/p): league or competition in which team or player has played, or in which an event occurs, participant in
10. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/p): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name

No other items found

[Assistant]
The property "award received" (wdt:P166) is used to indicate awards or recognitions received by a person.

Next, I will query the years in which Shaquille O'Neal received the All-NBA Team award using the property "award received" (wdt:P166) and the entity for the All-NBA Team (wd:Q674359). I will also do the same for Kobe Bryant. Then I will find the intersection of those years.

[Tool]
Got 4 rows and 1 column:
| ?year                |
| -------------------- |
| 2002-01-01T00:00:00Z |
| 2003-01-01T00:00:00Z |
| 2004-01-01T00:00:00Z |
| 2006-01-01T00:00:00Z |

[Tool] Stopped generation process