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:P106 wd:Q11397897 ; wdt:P21 wd:Q6581072 .
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 6 (xsd:int) |

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 http://amur:7001

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

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

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

[User] How many fictional female swordfighters are there?

[Assistant]
First, I need to identify the following:
1. The entity or class for "fictional female swordfighters".
   - This likely involves three aspects: being fictional, being female, and being a swordfighter.
2. The properties that can be used to filter for these aspects:
   - "Fictional" could be a class or an instance of a fictional character.
   - "Female" is likely a gender property.
   - "Swordfighter" could be an occupation, role, or subclass.

Step 1: Search for the entity "fictional swordfighter" to see if such a class exists, or if I need to combine "fictional character" and "swordfighter".

[Tool]
Top 10 entity alternatives:
1. fiction, also known as imaginary genre, imaginary art genre, fiction form, fictional, fictional art form (wd:Q8253): genre and narrative form, in any medium, consisting of people, e... imaginary—in other words, not based strictly on history or fact
2. swordfighter, also known as sword-fighter, swordsman, swordsmen, swordswoman (wd:Q11397897): person who fights with a sword
3. Fictional (wd:Q5446562): German musical project formed by Gerrit Thomas
4. Fictional (wd:Q110568363): podcast
5. fictional (wd:L614098-S1)
6. fictional (wd:L4587-F1)
7. fictional (wd:L4587)
8. fictional (wd:L205494-S1)
9. character, also known as fictional character (wd:Q95074): fictional human or non-human character in a narrative work of art
10. villain, also known as evil character, villainess, fictional villainess, fictional villain, fictional bad guy (wd:Q290691): evil character in a story

[Assistant]
There is no direct entity for "fictional swordfighter", but I found:
- "swordfighter" (wd:Q11397897)
- "character, also known as fictional character" (wd:Q95074)

So, I need to find entities that are:
- Instances of "fictional character" (wd:Q95074)
- Have gender "female"
- Have occupation or subclass "swordfighter" (wd:Q11397897)

Next, I need to check which property links a character to "swordfighter" (occupation, role, etc.). I'll search for properties of "swordfighter" related to occupation or role.

[Tool]
Top 10 property alternatives:
1. field of this occupation, also known as practice, works in, profession's field, practices, field of this profession (wd:P425 as wdt/p): field corresponding to this occupation or profession (use only f...fessions - for people use Property:P101, for companies use P452)
2. 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
3. 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)
4. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
5. Commons category, also known as category on Wikimedia Commons, Wikimedia Commons category, Wikimedia Commons cat, Commons cat, commonscat (wd:P373 as wdt/p): name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:")
6. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as wdt/p): male form of name or title (for female use P2521)
7. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as wdt/p): female form of name or title (for male use P3321)
8. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as wdt/p): item that is different from another item, with which it may be confused

No other items found

[Assistant]
There is no direct "occupation" property listed for "swordfighter", but "occupation" is a common property for people and characters. I should check which property is used to indicate the occupation of a fictional character.

I'll search for properties of "fictional character" related to "occupation".

[Tool]
Top 10 property alternatives:
1. 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
2. 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)
3. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as wdt/p): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
4. properties for this type, also known as uses properties, Wikidata properties for this type, Wikidata properties for this class, uses property, things one could say about (wd:P1963 as wdt/p): when this subject is used as object of “instance of”, the following properties normally apply
5. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as wdt/p): main Wikidata property for this item
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. 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. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
9. 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)
10. equivalent class, also known as schema.org type, same kind of thing, same grouping, same class, external class (wd:P1709 as wdt/p): equivalent class in other ontologies (use property URI), exact match, URL

No other items found

[Assistant]
There is no explicit "occupation" property listed for "fictional character", but in Wikidata, "occupation" (P106) is commonly used for both real and fictional people.

Next, I need to confirm the property for "gender" and the value for "female". I'll search for the property "gender".

[Tool]
Top 10 property alternatives:
1. grammatical gender, also known as gender (wd:P5185 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): grammatical gender of the word
2. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): grammatical features required or generally used with lexeme or form of lexeme
4. has grammatical gender, also known as grammatical genders, has genders (wd:P5109 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): specific form of noun class system of a language. Use qualifier ... subject of" (P805) to link to language specific item if present
5. personal pronoun, also known as gender pronoun, personal gender pronoun, personal pronouns, PGP, PGPs (wd:P6553 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): used when a word is only used to refer to people of this gender or to animals of this sex, independent of the grammatical gender
7. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): female form of name or title (for male use P3321)
8. gender educated (wd:P7419 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): genders educated at this educational institution
9. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): male form of name or title (for female use P2521)
10. given name version for other gender, also known as personal name version for other gender, other genders given name, male version of this female given name, gender inflection of given name, female version of this male given name (wd:P1560 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): equivalent name (with respect to the meaning of the name) in the...n of a female first name. Add primarily the closest matching one

[Tool]
Top 10 entity alternatives:
1. female organism, also known as ♀, female, female animal, female creature, sex — female (wd:Q43445): organism of the female sex
2. female, also known as female human, women, woman, lady, human female (wd:Q6581072): to be used in "sex or gender" (P21) to indicate that the human s...nder" (P10339) to indicate that a word refers to a female person
3. lesbian, also known as lesbians, women loving women, woman homosexual, WLW, Sapphist (wd:Q55719239): homosexual woman or girl
4. trans woman, also known as transgender woman, trans Woman, transwoman, trans-woman, transsexual Woman (wd:Q1052281): person assigned male at birth who identifies as a woman
5. cisgender woman, also known as Cis woman, cis woman, cis gender woman, cisgender female, Cis female (wd:Q15145779): female person who was assigned female at birth
6. assigned female at birth, also known as female at birth, DFAB, born female, AFAB, designated female at birth (wd:Q56315990): assignment of a female gender shortly after birth
7. trans man, also known as trans guy, trans male, trans-man, transmasculine, trans men (wd:Q2449503): person assigned female at birth who identifies as a man
8. intersex woman, also known as female intersex human, female intersex person, intersex female human, intersex female person, intersex girl (wd:Q121307100): intersex person who identifies as a woman
9. 25% male, 75% female gender ratio, also known as 3 ♀ : 1 ♂ (wd:Q116752962): gender ratio for Pokémon species
10. 87.5% male, 12.5% female gender ratio, also known as 1 ♀ : 7 ♂, 7 ♂ : 1 ♀ (wd:Q116752952): gender ratio for Pokémon species

No other items found

No literal items found

[Assistant]
The correct value for "female" in the "sex or gender" (P21) property is "female" (wd:Q6581072).

Now, to summarize:
- "Fictional character": instance of (P31) wd:Q95074
- "Swordfighter": occupation (P106) wd:Q11397897
- "Female": sex or gender (P21) wd:Q6581072

Next, I will write a SPARQL query to count the number of entities that are:
- instance of "fictional character" (wd:Q95074)
- have occupation "swordfighter" (wd:Q11397897)
- have gender "female" (wd:Q6581072)

I'll construct and execute this query.

[Tool]
Failed to call function execute:
The following knowledge graph items are used in the SPARQL query without being known from previous function calls:
wdt:P106

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. field of this occupation, also known as practice, works in, profession's field, practices, field of this profession (wd:P425 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): field corresponding to this occupation or profession (use only f...fessions - for people use Property:P101, for companies use P452)
3. members have occupation, also known as profession of members, organization of, organization for, organisation of, organisation for (wd:P3989 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): some or all members of this group share the occupation
4. practiced by, also known as proponent, studied by, practitioners, practioner, occupation of this field (wd:P3095 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): type of agents that study this subject or work in this field
5. position held, also known as function, held position, holds position, job, office held (wd:P39 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): subject currently or formerly holds the object position or public office
6. employer, also known as working at, working for, working place, works at, works for (wd:P108 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): person or organization for which the subject works or worked, affiliation
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): the object is a country that recognizes the subject as its citizen, country
8. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): person or organization occupying property, used by
9. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): specialization of a person or organization; see P106 for the occupation, interested in
10. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location

[Tool]
Got 423 rows and 3 columns, showing the first 10 rows below:
| subject                           | property              | object                      |
| --------------------------------- | --------------------- | --------------------------- |
| Wonder Woman (wd:Q338430)         | occupation (wdt:P106) | swordfighter (wd:Q11397897) |
| Robin Hood (wd:Q122634)           | occupation (wdt:P106) | swordfighter (wd:Q11397897) |
| Miyamoto Musashi (wd:Q193344)     | occupation (wdt:P106) | swordfighter (wd:Q11397897) |
| Darth Vader (wd:Q12206942)        | occupation (wdt:P106) | swordfighter (wd:Q11397897) |
| Captain Jack Sparrow (wd:Q202857) | occupation (wdt:P106) | swordfighter (wd:Q11397897) |
| Gandalf (wd:Q177499)              | occupation (wdt:P106) | swordfighter (wd:Q11397897) |
| Frodo Baggins (wd:Q177329)        | occupation (wdt:P106) | swordfighter (wd:Q11397897) |
| Aragorn (wd:Q180322)              | occupation (wdt:P106) | swordfighter (wd:Q11397897) |
| Sasuke Uchiha (wd:Q1740)          | occupation (wdt:P106) | swordfighter (wd:Q11397897) |
| Conan the Barbarian (wd:Q189169)  | occupation (wdt:P106) | swordfighter (wd:Q11397897) |
| ...                               | ...                   | ...                         |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                              | property                | object               |
| ------------------------------------ | ----------------------- | -------------------- |
| Mary Wollstonecraft (wd:Q101638)     | sex or gender (wdt:P21) | female (wd:Q6581072) |
| Sigourney Weaver (wd:Q102124)        | sex or gender (wdt:P21) | female (wd:Q6581072) |
| Halle Berry (wd:Q1033016)            | sex or gender (wdt:P21) | female (wd:Q6581072) |
| Harriet Beecher Stowe (wd:Q102513)   | sex or gender (wdt:P21) | female (wd:Q6581072) |
| Margrethe II of Denmark (wd:Q102139) | sex or gender (wdt:P21) | female (wd:Q6581072) |
| Rachel Carson (wd:Q100948)           | sex or gender (wdt:P21) | female (wd:Q6581072) |
| Harriet Tubman (wd:Q102870)          | sex or gender (wdt:P21) | female (wd:Q6581072) |
| Lauren Bacall (wd:Q104000)           | sex or gender (wdt:P21) | female (wd:Q6581072) |
| Doris Day (wd:Q104372)               | sex or gender (wdt:P21) | female (wd:Q6581072) |
| Winona Ryder (wd:Q101797)            | sex or gender (wdt:P21) | female (wd:Q6581072) |
| ...                                  | ...                     | ...                  |

[Tool]
Got 5,213 rows and 3 columns, showing the first 10 rows below:
| subject                                            | property              | object                |
| -------------------------------------------------- | --------------------- | --------------------- |
| Louhi (wd:Q1073318)                                | instance of (wdt:P31) | character (wd:Q95074) |
| Aniruddha (wd:Q2879755)                            | instance of (wdt:P31) | character (wd:Q95074) |
| Harishchandra (wd:Q3519217)                        | instance of (wdt:P31) | character (wd:Q95074) |
| Doctor Manhattan (wd:Q2519257)                     | instance of (wdt:P31) | character (wd:Q95074) |
| saturated and unsaturated compounds (wd:Q55689091) | instance of (wdt:P31) | character (wd:Q95074) |
| Gudetama (wd:Q20039752)                            | instance of (wdt:P31) | character (wd:Q95074) |
| Hajji Firuz (wd:Q4809107)                          | instance of (wdt:P31) | character (wd:Q95074) |
| This Man (wd:Q65089609)                            | instance of (wdt:P31) | character (wd:Q95074) |
| Martin Krpan (wd:Q3555081)                         | instance of (wdt:P31) | character (wd:Q95074) |
| Nila (wd:Q4272928)                                 | instance of (wdt:P31) | character (wd:Q95074) |
| ...                                                | ...                   | ...                   |

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 6 (xsd:int) |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?openingDate ( YEAR( ?openingDate ) AS ?openingYear ) WHERE {
  wd:Q71719 wdt:P1619 ?openingDate
}

The Hollywood Walk of Fame opened in 1960.

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

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

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

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

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

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

[Assistant] First, I need to identify the correct entity for "Hollywood Walk of Fame" in Wikidata. Then, I need to find the property that indicates the opening date or year for a place or landmark. I will start by searching for the entity "Hollywood Walk of Fame".

[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 correct entity for "Hollywood Walk of Fame" is wd:Q71719. Next, I need to find the property that indicates the opening date or year for a place or landmark. I will search for properties related to "opening date".

[Tool]
Top 10 property alternatives:
1. date of official opening, also known as launch date, launched, officially opened on, official opening, official opening time (wd:P1619 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): date or point in time a place, organization, or event officially opened, start time, inception
2. opening time, also known as hour opens, opens at, opening hour, open hour (wd:P8626 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): time when an establishment or attraction opens, qualifier for P3025
3. open days, also known as open on days, days open, opening days (wd:P3025 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): days in the week subject item is open within the opening season
4. open period from, also known as start of opening season, start opening season, opening season, opening month, opening day of the year (wd:P3027 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): qualifier to P3025 (open days) for season when open days apply
5. start time, also known as start date, since, valid, join time, joined (wd:P580 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): time an entity begins to exist or a statement starts being valid, point in time
6. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
7. officially opened by, also known as inaugurated by, opened by (wd:P542 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): person that officially opened the event or place
8. service entry, also known as commissioned, time of service entry, service introduction, launch date, in service (wd:P729 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): date or point in time on which a piece or class of equipment entered operational service, start time
9. UTC date of spacecraft launch, also known as time of spacecraft launch, spacecraft launch time, spacecraft launch date, launch time, launch date (wd:P619 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): date of spacecraft launch in UTC
10. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): date or point in time when a work was first published or released, point in time

[Assistant] The most relevant properties for the opening date of a place or landmark are "date of official opening" (wdt:P1619) and possibly "inception" (wdt:P571). I will first check if "Hollywood Walk of Fame" (wd:Q71719) has a value for "date of official opening" (wdt:P1619).

[Tool]
Got 1 row and 3 columns:
| subject                            | property                             | object                              |
| ---------------------------------- | ------------------------------------ | ----------------------------------- |
| Hollywood Walk of Fame (wd:Q71719) | date of official opening (wdt:P1619) | 1960-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] The property "date of official opening" (wdt:P1619) for the Hollywood Walk of Fame (wd:Q71719) is set to 1960-01-01. This means the Hollywood Walk of Fame opened in the year 1960. I will now construct the final SPARQL query to return this information, including the year.

[Tool] Stopped generation process


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

Got 1 row and 1 column:
| count       |
| ----------- |
| 2 (xsd:int) |

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 http://amur:7001

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

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

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

[User] How many official languages has Pakistan ?

[Assistant]
Let's break down the question:

1. The user wants to know the number of official languages in Pakistan.
2. I need to identify the entity for "Pakistan" and the property for "official language".
3. Then, I will count the number of official languages associated with Pakistan.

First, I will 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 correct entity for the country Pakistan is wd:Q843.

Next, I need to find the property for "official language". I will search for properties related to "official language".

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): language in which the writer has written their work, languages spoken, written or signed

[Assistant]
The property "official language" is wd:P37.

Now, I will write a SPARQL query to count the number of official languages (wd:P37) for Pakistan (wd:Q843).

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 2 (xsd:int) |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?creator WHERE {
  wd:Q16889037 wdt:P170 ?creator
}

The creators of Unbreakable Kimmy Schmidt are Tina Fey (wd:Q14540) and Robert Carlock (wd:Q7342763).

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

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

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

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

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

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

[Assistant]
Let's break down the question:

1. The entity "Unbreakable Kimmy Schmidt" is a TV show. I need to find its Wikidata entity.
2. The property "creator" refers to the person or people who created the show. I need to find the relevant property for "creator" in Wikidata.
3. I will then construct a SPARQL query to find the creator(s) of "Unbreakable Kimmy Schmidt".

First, I will search for the entity "Unbreakable Kimmy Schmidt" in Wikidata.

[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 main entity for "Unbreakable Kimmy Schmidt" is wd:Q16889037, which is the American comedy streaming television series.

Next, I need to find the property for "creator" in Wikidata. I will search for the property "creator".

[Tool]
Top 10 property alternatives:
1. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): entity (person, organization, etc.) that caused a record or collection to be produced or gathered
2. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): founder or co-founder of this organization, religion, place or entity, creator
3. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): maker of this creative work or other object (where no more specific property exists)
4. author, also known as writer, written by, poet, playwright, maker (wd:P50 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
5. author name string, also known as short author name, writer named as, writer name, writer indicated as, songwriting credits string (wd:P2093 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): stores unspecified author or editor name for publications; use i...or editor (P98) does not exist or is not known. Do not use both.
6. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
7. possible creator, also known as creator (possible), attributed to (wd:P1779 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): for a creative work with considerable uncertainty about the author
8. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): organization or person that developed the item, creator
9. fabrication method, also known as process used, method of cooking, preparation method, obtained by, method used (wd:P2079 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): method, process or technique used to grow, cook, weave, build, assemble, manufacture the item, uses
10. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): text through which an institution or object has been created or established

[Assistant]
The most relevant property for "creator" of a creative work like a TV series is likely wd:P170 (creator), but sometimes "author" (wd:P50) or "developer" (wd:P178) are used for TV shows. To be sure, I will check which properties are used for "Unbreakable Kimmy Schmidt" that relate to creation or authorship.

I will search for properties of wd:Q16889037 with the query "creator".

[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 wdt/p/wdtn): identifier for an artist in the MusicBrainz open music encyclopedia

No other items found

[Tool]
Got 351 rows and 3 columns, showing the first 10 rows below:
| subject                                  | property                     | object                                                                                |
| ---------------------------------------- | ---------------------------- | -------------------------------------------------------------------------------------- |
| Unbreakable Kimmy Schmidt (wd:Q16889037) | instance of (wdt:P31)        | television series (wd:Q5398426)                                                        |
| Unbreakable Kimmy Schmidt (wd:Q16889037) | title (wdt:P1476)            | Unbreakable Kimmy Schmidt (en)                                                         |
| Unbreakable Kimmy Schmidt (wd:Q16889037) | Commons category (wdt:P373)  | Unbreakable Kimmy Schmidt                                                              |
| Unbreakable Kimmy Schmidt (wd:Q16889037) | image (wdt:P18)              | <http://commons.wikimedia.org/wiki/Special:FilePath/Unbreakable%20Kimmy%20Schmidt.png> |
| Unbreakable Kimmy Schmidt (wd:Q16889037) | has part(s) (wdt:P527)       | Unbreakable Kimmy Schmidt, season 1 (wd:Q21186375)                                     |
| Unbreakable Kimmy Schmidt (wd:Q16889037) | country of origin (wdt:P495) | United States (wd:Q30)                                                                 |
| Unbreakable Kimmy Schmidt (wd:Q16889037) | official website (wdt:P856)  | <http://netflix.com/unbreakablekimmyschmidt>                                           |
| Unbreakable Kimmy Schmidt (wd:Q16889037) | genre (wdt:P136)             | sitcom (wd:Q170238)                                                                    |
| Unbreakable Kimmy Schmidt (wd:Q16889037) | cast member (wdt:P161)       | Tina Fey (wd:Q14540)                                                                   |
| Unbreakable Kimmy Schmidt (wd:Q16889037) | creator (wdt:P170)           | Tina Fey (wd:Q14540)                                                                   |
| ...                                      | ...                          | ...                                                                                |

[Tool]
Got 2 rows and 3 columns:
| subject                                  | property           | object                       |
| ---------------------------------------- | ------------------ | ---------------------------- |
| Unbreakable Kimmy Schmidt (wd:Q16889037) | creator (wdt:P170) | Tina Fey (wd:Q14540)         |
| Unbreakable Kimmy Schmidt (wd:Q16889037) | creator (wdt:P170) | Robert Carlock (wd:Q7342763) |

[Tool]
Got 2 rows and 1 column:
| creator                      |
| ---------------------------- |
| Tina Fey (wd:Q14540)         |
| Robert Carlock (wd:Q7342763) |

[Tool] Stopped generation process


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

Got 1 row and 1 column:
| count        |
| ------------ |
| 32 (xsd:int) |

Akira Kurosawa directed 32 movies.

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

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

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

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

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

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

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Akira Kurosawa".
2. We need to find the property for "director" (i.e., movies directed by someone).
3. We need to find the class/entity for "movie" (to ensure we only count movies).
4. We need to count the number of movies directed by Akira Kurosawa.

Let's start by searching for the entity "Akira Kurosawa".

[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 most relevant entity for Akira Kurosawa the film director is wd:Q8006.

Next, we need to find the property for "director" to identify movies directed by Akira Kurosawa.

[Tool]
Top 10 property alternatives:
1. director / manager, also known as leader, manager, manager/director, managing director, Officer-in-Charge (wd:P1037 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): position of the head of this item
5. creative director (wd:P12617 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): person who makes high-level creative decisions, director
6. assistant director, also known as second unit director (wd:P5126 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): assistant stage director of a performing arts, film or television production
7. artistic director (wd:P8938 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): 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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): person leading the archaeological or anthropological investigation at a given site, significant person

[Assistant]
The most relevant property for "director" of a film is wd:P57.

Now, we need to ensure we are only counting "movies" (films). Let's search for the entity for "movie" or "film" to use as a filter.

[Tool]
Top 10 entity alternatives:
1. film, also known as cinematic work, moving picture, movie, motion pictures, motion picture (wd:Q11424): sequence of images that give the impression of movement, stored on film stock
2. photographic film, also known as camera film, film, photo film (wd:Q6293): sheet of plastic coated with light-sensitive chemicals
3. film studies, also known as cinema studies, film, movie studies (wd:Q1660187): academic discipline that deals with various theoretical, historical, and critical approaches to films
4. thin film, also known as film, films, nanofilm, pellicle, thin layer (wd:Q1137203): a layer of material ranging from fractions of a nanometer to several micrometers in thickness
5. motion picture film, also known as moving-picture film, movie film, cinematographic film, film (wd:Q110968856): type of photographic film for motion pictures
6. /Film, also known as SlashFilm, slashfilm.com (wd:Q573998): film blog
7. Everybody's Talking About Jamie, also known as film (wd:Q65050923): 2021 film directed by Jonathan Butterell
8. plastic foil, also known as Film, plastic film, Plastic film, plastic films (wd:Q1736298): thin continuous polymeric material
9. Film (wd:Q1414297): 1965 short film directed by Alan Schneider
10. Film, Film, Film, also known as Фильм, фильм, фильм (wd:Q4484382): 1968 animated short film by Fyodor Khitruk

[Assistant]
The most relevant entity for "film" or "movie" is wd:Q11424.

Now, let's summarize:
- Director: wd:P57
- Akira Kurosawa: wd:Q8006
- Film: wd:Q11424

We need to count the number of items that are instances of "film" (wd:Q11424) and have Akira Kurosawa (wd:Q8006) as their director (wd:P57).

Let's construct a SPARQL query to count these films.

[Tool]
Failed to call function execute:
The following knowledge graph items are used in the SPARQL query without being known from previous function calls:
wdt:P31

[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 pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
2. Wikidata property example, also known as e.g., Wikidata property sample, property sample, property example, for example (wd:P1855 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): example where this Wikidata property is used; target item is one...ualifier the property being described given the associated value
3. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
4. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): all resources related by this property are also related by that property, related property
5. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): object that partially overlaps with the subject in its instances, parts, or members, different from
6. model item, also known as specimen, sample, featured item, example item, best example (wd:P5869 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): defines which item is a best practice example of modelling a sub...lue of this property, usage instructions at Wikidata:Model items
7. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.
8. exemplar of, also known as contains work, includes work, contents (wd:P1574 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): Links an individual copy of a work to the item for that work or edition, instance of
9. usage example, also known as sentence, use in a sentence, example sentence (wd:P5831 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): example of how a lexeme (sense) might be used
10. fictional or mythical analog of, also known as fictionalisation of, mythical analog of, fictional version of, fictionalization of, fictional analog of (wd:P1074 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): used to link an entity or class of entities appearing in a creat...with the analogous entity or class of entities in the real world, inspired by

[Assistant]
The property for "instance of" is wd:P31.

Now, let's retry the query to count the number of films (wd:Q11424) directed by Akira Kurosawa (wd:Q8006) using the properties:
- director: wdt:P57
- instance of: wdt:P31

Here's the revised SPARQL query.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 32 (xsd:int) |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?industry WHERE {
  wd:Q170022 wdt:P1830 ?business .
  ?business wdt:P452 ?industry
}

The House of Medici owns a business (Medici Bank) 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 http://amur:7001

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

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

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

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

[Assistant]
Let's break down the question:

1. The entity is "House of Medici".
2. The property is about "owning a business".
3. We want to find the "industry" of that business.

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

[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" as a family is wd:Q170022.

Next, I need to find out how to represent "own a business" in Wikidata. This likely involves a property linking an owner (the Medici family) to a business entity. I will search for properties related to "owns" or "ownership".

[Tool]
Top 10 property alternatives:
1. owner of, also known as owns, owns property, shareholder of (wd:P1830 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): entities owned by the subject
2. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
3. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): owner of the subject
4. properties for this type, also known as uses properties, Wikidata properties for this type, Wikidata properties for this class, uses property, things one could say about (wd:P1963 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): when this subject is used as object of “instance of”, the following properties normally apply
5. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): main Wikidata property for this item
6. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
7. afterward owned by, also known as subsequently owned by, purchased by, owned after by, new owner, bought by (wd:P11812 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): person or institution that owned the subject after stated event....ficant event (P793)" for events like sales, auctions, gifts, etc
8. beforehand owned by, also known as acquired from, bequester, bought from, old owner, oldowner (wd:P11811 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): person or institution that owned the subject just before stated ...ficant event (P793)" for events like sales, auctions, gifts, etc
9. merged into, also known as absorbed in, acquired by, annexed to, bought by, dissolved into (wd:P7888 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): the subject was dissolved and merged into the object, that existed previously
10. characteristic of, also known as quality of, property of, inheres in, of (wd:P13044 as pq/psv/pqn/pqv/psn/wdtn/ps/prn/p/pr/prv/wdt): (qualifier only) statement value is a characteristic, quality, property, or state of this qualifier value

[Assistant]
The most relevant property for "owns" is "owner of" (wd:P1830), which links an owner (like the House of Medici) to entities they own.

Now, I need to find out which entities the House of Medici (wd:Q170022) is the "owner of" using property wd:P1830. Then, for each such entity, I need to find its industry.

I will first list some triples where the House of Medici is the subject and property is "owner of" (wd:P1830), to see what businesses or entities are linked.

[Tool]
Got 1 row and 3 columns:
| subject                      | property             | object                   |
| ---------------------------- | -------------------- | ------------------------ |
| House of Medici (wd:Q170022) | owner of (wdt:P1830) | Medici Bank (wd:Q806191) |

[Assistant]
The House of Medici (wd:Q170022) is listed as the owner of Medici Bank (wd:Q806191).

Next, I need to find the industry of Medici Bank. To do this, I will search for properties related to "industry" and see which one is used for organizations or companies.

[Tool]
Top 10 property alternatives:
1. industry, also known as branch, economic branch, field of action, field of exercise, sector (wd:P452 as wdt/p): specific industry of company or organization, part of
2. 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
3. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as wdt/p): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
5. 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)
6. partnership with, also known as works with, collaborates with, collaboration with (wd:P2652 as wdt/p): partnership (commercial or/and non-commercial) between this organization and another organization or institution
7. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as wdt/p): owner of the subject
8. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/p): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
9. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as wdt/p): location where a group or organization was formed, location of creation
10. Commons category, also known as category on Wikimedia Commons, Wikimedia Commons category, Wikimedia Commons cat, Commons cat, commonscat (wd:P373 as wdt/p): name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:")

No other items found

[Assistant]
The property "industry" (wd:P452) is the correct one to use for finding the industry of Medici Bank (wd:Q806191).

Now, I will list the values of the "industry" property for Medici Bank.

[Tool]
Got 1 row and 3 columns:
| subject                  | property            | object                          |
| ------------------------ | ------------------- | ------------------------------- |
| Medici Bank (wd:Q806191) | industry (wdt:P452) | financial services (wd:Q837171) |

[Tool]
Got 376 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                               | object                                                                            |
| ------------------------------- | -------------------------------------- | --------------------------------------------------------------------------------- |
| financial services (wd:Q837171) | instance of (wdt:P31)                  | economic activity (wd:Q8187769)                                                   |
| financial services (wd:Q837171) | Commons category (wdt:P373)            | Financial services                                                                |
| financial services (wd:Q837171) | part of (wdt:P361)                     | quaternary sector of the economy (wd:Q1200977)                                    |
| financial services (wd:Q837171) | subclass of (wdt:P279)                 | service (wd:Q7406919)                                                             |
| financial services (wd:Q837171) | topic's main category (wdt:P910)       | wd:Q8458420                                                                       |
| financial services (wd:Q837171) | said to be the same as (wdt:P460)      | financial service activities, except insurance and pension funding (wd:Q29584334) |
| financial services (wd:Q837171) | facet of (wdt:P1269)                   | economics of banking (wd:Q806718)                                                 |
| financial services (wd:Q837171) | equivalent class (wdt:P1709)           | <https://schema.org/FinancialService>                                             |
| financial services (wd:Q837171) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/1228rrh_>                                                       |
| financial services (wd:Q837171) | Freebase ID (wdt:P646)                 | /m/02h400t                                                                        |
| ...                             | ...                                    | ...                                                                               |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?island WHERE {
  wd:Q3630 wdt:P706 ?island
}

The Indonesian capital, Jakarta, is located on the island of Java (wd:Q3757).

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

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

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

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

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

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

[Assistant]
Let's break down the question:

1. The Indonesian capital is Jakarta.
2. The question asks for the island on which Jakarta is located.

Step 1: Find the entity for "Jakarta" in Wikidata.
Step 2: Find the property that links a city to the island it is located on.
Step 3: Use these to construct a SPARQL query.

First, let's 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 correct entity for Jakarta, the capital of Indonesia, is wd:Q3630.

Next, I need to find the property that links a city to the island it is located on. I'll search for properties 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 most relevant property is "located in/on physical feature" (wdt:P706), which is used to indicate the physical feature (such as an island) on which a place is located.

Now, I will construct a SPARQL query to find the island on which Jakarta (wd:Q3630) is located using wdt:P706. I'll also try to get the label of the island for clarity.

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

[Tool] Stopped generation process