PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?deaths WHERE {
  wd:Q815436 wdt:P1120 ?deaths
}

According to Wikidata, the Troubles resulted in 3,532 deaths.

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

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

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

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

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

[User] How many casualties were a result of the Troubles?

[Assistant]
Let's break down the question:

1. The user is asking for the number of casualties resulting from "the Troubles."
2. "The Troubles" refers to the conflict in Northern Ireland from the late 1960s to 1998.
3. We need to identify the entity for "the Troubles" and the property for "casualties" (number of deaths or casualties).

First, I'll search for the entity "the Troubles" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. The Troubles, also known as Troubles, Northern Irish Troubles, Northern Ireland Troubles, Northern Ireland conflict, Conflict in Northern Ireland (wd:Q815436): 1960s–1990s conflict in Northern Ireland
2. The Troubles (wd:Q7770391): term used within the fictional world represented in Haven
3. The Troubles (wd:Q18164392): 2004 double studio album by The Wolfe Tones
4. A Short History of The Troubles, also known as The Troubles (wd:Q117377239): 2014 edition of work by Feeney giving a history of The Troubles in Northern Ireland
5. The Troubles (wd:Q18008022): episode of Law & Order (S1 E20)
6. The Troubles (wd:Q108529118): episode of New York Undercover
7. The Troubleshooters, also known as Troubleshooters (wd:Q15927774): 1988 Chinese film
8. The Tenderfoot's Troubles (wd:Q20006146): 1912 film by Pat Hartigan
9. The Troubleshooters (wd:Q104872604): US television series
10. The Troubleshooters (wd:Q3540911): American television series

[Assistant]
The most relevant entity for "the Troubles" in Northern Ireland is wd:Q815436.

Next, I need to find the property in Wikidata that represents the number of casualties or deaths in a conflict. I'll search for properties related to "casualties" and "deaths."

[Tool]
Top 10 property alternatives:
1. number of casualties, also known as casualities, number of deaths and injuries (wd:P1590 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of people dead or injured because of this event.  Used wh...e data on number of deaths and number of injured is unavailable.
2. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): total (cumulative) number of people who died since start as a direct result of an event or cause
3. number of victims of killer, also known as number of persons killed, number of killed persons, number of homicide victims, kills, kill count (wd:P1345 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): people killed by the subject, both legal and illegal
4. military casualty classification, also known as casualty classification, casualty type (wd:P1347 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): allowed values:  killed in action (Q210392), missing in action (...ent (Q16861407), others used in military casualty classification
5. number of injured, also known as injured, injuries, injury toll, non-fatal injuries, number injured (wd:P1339 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of people with non-fatal injuries in an event
6. number of losses, also known as defeats, games lost, L, losses, lost (wd:P1356 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of sporting matches, games or events lost
7. category for people who died here, also known as category for place of death, category of people who died here (wd:P1465 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): category item for people who died in this location, related category
8. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
9. case fatality rate, also known as fatality rate, CFR, case fatality ratio, case fatality, case fatality risk (wd:P3457 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): proportion of patients who die of a particular medical condition out of all who have this condition within a given time frame
10. victim(s), also known as sexual abuse victim, terrorist victim, shooting victim, torture victim, victims (wd:P8032 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): person(s) who were harmed from an act or event, object of occurrence, participant

[Assistant]
The most relevant properties are:
- number of casualties (wd:P1590): includes both deaths and injuries.
- number of deaths (wd:P1120): only deaths.

Since the user asked for "casualties," which typically includes both deaths and injuries, I'll use "number of casualties" (wd:P1590) as the primary property.

Now, I'll check if "the Troubles" (wd:Q815436) has a value for "number of casualties" (wd:P1590).

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there is no direct value for "number of casualties" (wd:P1590) on the entity "the Troubles" (wd:Q815436) in Wikidata.

As a next step, I'll check if there is a value for "number of deaths" (wd:P1120) for "the Troubles," as sometimes only fatalities are recorded.

[Tool]
Got 1 row and 3 columns:
| subject                   | property                     | object             |
| ------------------------- | ---------------------------- | ------------------ |
| The Troubles (wd:Q815436) | number of deaths (wdt:P1120) | 3532 (xsd:decimal) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( ?brother ) AS ?numLivingBrothers ) WHERE {
  VALUES ?brother {
    wd:Q195351 wd:Q28032172 wd:Q28053539 wd:Q28053544 wd:Q28053548 wd:Q28053579 wd:Q28053586
  }
  FILTER NOT EXISTS {
    ?brother wdt:P570 ?dod
  }
}

Got 1 row and 1 column:
| numLivingBrothers |
| ----------------- |
| 5 (xsd:int)       |

Reinhold Messner has 5 brothers who are still alive, 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 of Reinhold Messner's brothers still live?

[Assistant]
Let's break down the question:

1. We need to identify Reinhold Messner in Wikidata.
2. We need to find his brothers.
3. For each brother, we need to check if they are still alive (i.e., do not have a date of death).

Let's start by searching for "Reinhold Messner" in Wikidata to get his entity ID.

[Tool]
Top 10 entity alternatives:
1. Reinhold Messner (wd:Q189307): Italian mountaineer, adventurer and explorer, film director, mountaineer, politician, explorer, writer
2. Reinhold Messner, also known as Reinhold Meßner, Reinhold Oswald Messner (wd:Q121337911): Austrian Franciscan priest and philosopher, regular priest, philosopher
3. Markus Lanz und Reinhold Messner (wd:Q55978741): episode of Reinhold Beckmann trifft … (S1 E2)
4. The Unauthorized Biography of Reinhold Messner (wd:Q3989773): album by Ben Folds Five
5. 18092 Reinhold, also known as Reinhold (wd:Q2618622): asteroid
6. Reinhold (wd:Q2141320): lunar impact crater
7. Messner (wd:Q28812178): family name
8. Reinhold, also known as Reinhold (first name), Reinhold (given name) (wd:Q18091397): male given name
9. Bernhard Reinhold, also known as B. Reinhold, Reinhold (wd:Q16761534): German painter, painter
10. Messner (wd:Q1777589): 2012 film directed by Andreas Nickel

[Assistant]
The most relevant entity for Reinhold Messner is wd:Q189307 (Italian mountaineer, adventurer and explorer).

Next, I need to find the property that links Reinhold Messner to his siblings, and specifically identify his brothers. I'll search for properties related to "sibling" or "brother".

[Tool]
Top 10 property alternatives:
1. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
4. child, also known as has son, kids, mother of, kid, issue (wd:P40 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
5. ASF KID Cave Tag Number, also known as Australian Speleological Federation KID, KID, Karst Index Database (wd:P2792 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): unique identifier for caves within the Karst Index Database of the Australian Speleological Federation
6. Kunstindeks Danmark Artist ID, also known as KID, KID artist ID, KID ID (wd:P1138 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): unique artist identifier used by Kunstindeks Danmark
7. stepparent, also known as step-parent, step parent, stepmother, step-mother, step mother (wd:P3448 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): subject has the object as their stepparent, relative
8. number of children, also known as children, children (number), how many children, issue, kids (wd:P1971 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of children of the person, animal, or character
9. generational suffix, also known as age suffix, family suffix, Jr., Junior, Senior (wd:P8017 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): suffix used in name
10. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent

[Assistant]
The property "sibling" (wd:P3373) is the most relevant for finding Reinhold Messner's brothers. However, this property includes both brothers and sisters, so to specifically identify brothers, I will need to check the gender of each sibling.

Next, I will check which entities are linked as siblings to Reinhold Messner (wd:Q189307) using the "sibling" property (wd:P3373).

[Tool]
Got 8 rows and 3 columns:
| subject                       | property            | object                             |
| ----------------------------- | ------------------- | ---------------------------------- |
| Reinhold Messner (wd:Q189307) | sibling (wdt:P3373) | Günther Messner (wd:Q195351)       |
| Reinhold Messner (wd:Q189307) | sibling (wdt:P3373) | Hubert Messner (wd:Q28032172)      |
| Reinhold Messner (wd:Q189307) | sibling (wdt:P3373) | Helmut Messner (wd:Q28053539)      |
| Reinhold Messner (wd:Q189307) | sibling (wdt:P3373) | Siegfried Messner (wd:Q28053544)   |
| Reinhold Messner (wd:Q189307) | sibling (wdt:P3373) | Erich Messner (wd:Q28053548)       |
| Reinhold Messner (wd:Q189307) | sibling (wdt:P3373) | Waltraud Kastlunger (wd:Q28053561) |
| Reinhold Messner (wd:Q189307) | sibling (wdt:P3373) | Hansjörg Messner (wd:Q28053579)    |
| Reinhold Messner (wd:Q189307) | sibling (wdt:P3373) | Werner Messner (wd:Q28053586)      |

[Assistant]
Reinhold Messner has the following siblings listed:
- Günther Messner (wd:Q195351)
- Hubert Messner (wd:Q28032172)
- Helmut Messner (wd:Q28053539)
- Siegfried Messner (wd:Q28053544)
- Erich Messner (wd:Q28053548)
- Waltraud Kastlunger (wd:Q28053561)
- Hansjörg Messner (wd:Q28053579)
- Werner Messner (wd:Q28053586)

To identify his brothers, I need to check the gender of each sibling. Let's check the gender property for each of these entities.

[Tool]
Top 10 property alternatives:
1. grammatical gender, also known as gender (wd:P5185 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): female form of name or title (for male use P3321)
8. gender educated (wd:P7419 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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

[Assistant]
The property "sex or gender" (wd:P21) is the correct one to use for determining if each sibling is a brother (male).

Now, I will write a SPARQL query to get the gender (wd:P21) of each sibling entity to identify which ones are male.

[Tool]
Got 8 rows and 2 columns:
| sibling                            | gender               |
| ---------------------------------- | -------------------- |
| Günther Messner (wd:Q195351)       | male (wd:Q6581097)   |
| Hubert Messner (wd:Q28032172)      | male (wd:Q6581097)   |
| Helmut Messner (wd:Q28053539)      | male (wd:Q6581097)   |
| Siegfried Messner (wd:Q28053544)   | male (wd:Q6581097)   |
| Erich Messner (wd:Q28053548)       | male (wd:Q6581097)   |
| Waltraud Kastlunger (wd:Q28053561) | female (wd:Q6581072) |
| Hansjörg Messner (wd:Q28053579)    | male (wd:Q6581097)   |
| Werner Messner (wd:Q28053586)      | male (wd:Q6581097)   |

[Assistant]
Among Reinhold Messner's siblings, all except Waltraud Kastlunger (female) are male, so he has 7 brothers.

Now, to answer the question, I need to check which of these brothers are still alive. This means checking if they do NOT have a date of death (wdt:P570).

I will write a SPARQL query to check the date of death for each brother.

[Tool]
Got 5 rows and 1 column:
| brother                         |
| ------------------------------- |
| Hubert Messner (wd:Q28032172)   |
| Helmut Messner (wd:Q28053539)   |
| Erich Messner (wd:Q28053548)    |
| Hansjörg Messner (wd:Q28053579) |
| Werner Messner (wd:Q28053586)   |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?olympics ) AS ?count ) WHERE {
  wd:Q25369 wdt:P1344 ?olympics .
  ?olympics wdt:P31 / wdt:P279 * wd:Q5389 .
}

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

Kobe Bryant has taken part in 2 Olympic Games.

[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 Olympic Games has Kobe Bryant taken part in?

[Assistant]
Let's break down the question:

1. We need to identify the entity for Kobe Bryant in Wikidata.
2. We need to find the property that links a person to their participation in the Olympic Games.
3. We need to count the number of Olympic Games Kobe Bryant participated in.

First, I'll search for "Kobe Bryant" in Wikidata to get his entity ID.

[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 correct entity for Kobe Bryant is wd:Q25369.

Next, I need to find the property that links a person to their participation in the Olympic Games. I'll search for properties related to "Olympic participation".

[Tool]
Top 10 property alternatives:
1. record or record progression, also known as olympic record, world record (wd:P2869 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): links to item on the record or record progression
2. New Zealand Olympic Committee athlete ID, also known as NZOC athlete ID, Olympic NZ, olympic.org.nz (wd:P4056 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): identifier for an athlete (sportsperson) at olympic.org.nz, a website of the New Zealand Olympic Committee (NZOC)
3. Kazakhstan Olympic Committee athlete ID, also known as NOC Kazakhstan athlete ID, olympic.kz, National Olympic Committee of the Republic of Kazakhstan athlete ID (wd:P11024 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): identifier for an athlete at the National Olympic Committee of the Republic of Kazakhstan website
4. country, also known as sovereign state, state, land, host country (wd:P17 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. Olympic.org athlete ID (archived), also known as Olympic.org athlete identifier (archived), Olympic.org ID (wd:P3171 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): identifier for an athlete (sportsperson) at Olympic.org, a former website of the International Olympic Committee
6. sports discipline competed in, also known as sport discipline competed in, weight class competed in, sports event, sports disciplines competed in, sports discipline (wd:P2416 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): discipline an athlete competed in within a sport, field of work
7. sports competition competed at (wd:P5249 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): edition of sports competitions at which the club or team that pl...ple: 2012–13 FC Barcelona season → 2012–13 UEFA Champions League
8. number of players in region, also known as number of people practicing sport, number of registered players, number of sportspeople, number of sportspersons (wd:P4909 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): number of registered players in a sport or people practicing a sport in a region
9. Sports-Reference.com Olympic athlete ID (archived), also known as Olympic Reference ID, Sports-Reference.com Olympic athlete identifier (archived), Sports Reference ID, SRID, SR/Olympics athlete ID (wd:P1447 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): identifier for an Olympic athlete (sportsperson) at sports-reference.com/olympics/athletes/
10. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): country a person or a team represents when playing a sport, country

[Assistant]
The most relevant property for linking a person to their participation in specific Olympic Games appears to be "sports competition competed at" (wd:P5249). This property should indicate the editions of sports competitions (including the Olympic Games) that the person has competed at.

Next, I'll check how this property is used for Kobe Bryant to see if it links him to specific Olympic Games.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no direct statements using the "sports competition competed at" (wdt:P5249) property for Kobe Bryant in Wikidata. This could mean that his Olympic participations are modeled differently, possibly through another property or via team participation.

Next, I'll search for properties related to "Olympics" specifically for Kobe Bryant to see if there is a more direct property used for his Olympic participation.

[Tool]
Top 10 property alternatives:
1. Olympic.org athlete ID (archived), also known as Olympic.org athlete identifier (archived), Olympic.org ID (wd:P3171 as p/wdt): identifier for an athlete (sportsperson) at Olympic.org, a former website of the International Olympic Committee
2. Sports-Reference.com Olympic athlete ID (archived), also known as Olympic Reference ID, Sports-Reference.com Olympic athlete identifier (archived), Sports Reference ID, SRID, SR/Olympics athlete ID (wd:P1447 as p/wdt): identifier for an Olympic athlete (sportsperson) at sports-reference.com/olympics/athletes/
3. Olympics.com athlete ID, also known as OC ID (archived), OCID (archived), OlympicChannel athlete ID (archived), OlympicChannel.com athlete ID (archived) (wd:P5815 as p/wdt): identifier for an athlete (sportsperson) at Olympics.com, a webs...c Committee (IOC) - same ID as former website OlympicChannel.com
4. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
5. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as p/wdt): country a person or a team represents when playing a sport, country
6. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as p/wdt): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
7. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
8. Team USA athlete former ID (archived), also known as USOC athlete ID (archived), USOPC athlete ID (archived), United States Olympic & Paralympic Committee athlete ID (archived), United States Olympic Committee athlete ID (archived), TeamUSA.org athlete ID (archived) (wd:P4063 as p/wdt): former identifier for an athlete (sportsperson) at TeamUSA.org, ...site at the United States Olympic & Paralympic Committee (USOPC)
9. Olympedia people ID, also known as Olympedia athlete ID, Olympedia coach ID, Olympedia referee ID (wd:P8286 as p/wdt): identifier for an athlete (sportsperson), coach, referee, etc. at Olympedia.org
10. databaseOlympics.com athlete ID (archived), also known as databaseOlympics.com athlete ID, databaseOlympics.com athlete identifier (archived), databaseOlympics.com ID (wd:P3520 as p/wdt): identifier for an Olympic athlete (sportsperson) at databaseOlympics.com

No other items found

[Assistant]
From the results, the most promising property for events Kobe Bryant participated in is "participant in" (wd:P1344). This property is used to indicate events in which a person was a participant.

I will now list the values of "participant in" (wdt:P1344) for Kobe Bryant to see if it includes specific Olympic Games.

[Tool]
Got 3 rows and 3 columns:
| subject                 | property                   | object                                       |
| ----------------------- | -------------------------- | -------------------------------------------- |
| Kobe Bryant (wd:Q25369) | participant in (wdt:P1344) | 2012 Summer Olympics (wd:Q8577)              |
| Kobe Bryant (wd:Q25369) | participant in (wdt:P1344) | 2008 Summer Olympics (wd:Q8567)              |
| Kobe Bryant (wd:Q25369) | participant in (wdt:P1344) | 2007 FIBA Americas Championship (wd:Q178595) |

[Assistant]
Kobe Bryant is listed as a participant in the 2008 Summer Olympics (wd:Q8567) and the 2012 Summer Olympics (wd:Q8577). These are the only Olympic Games he participated in according to Wikidata.

Now, I will write a SPARQL query to count the number of Olympic Games Kobe Bryant has taken part in, using the "participant in" property and filtering for Olympic Games.

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 3 (xsd:int) |

[Tool]
Got 3 rows and 1 column:
| olympics                                     |
| -------------------------------------------- |
| 2007 FIBA Americas Championship (wd:Q178595) |
| 2008 Summer Olympics (wd:Q8567)              |
| 2012 Summer Olympics (wd:Q8577)              |

[Assistant]
Upon reviewing the results, the count included the 2007 FIBA Americas Championship, which is not an Olympic Games. Only the 2008 and 2012 Summer Olympics are Olympic Games.

To ensure accuracy, I will refine the query to only count participations in events that are instances of "Olympic Games" (wd:Q5389) or its subclasses.

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

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?state WHERE {
  wd:Q2695156 wdt:P551 ?city .
  ?city wdt:P131 ?state .
  ?state wdt:P31 wd:Q35657
}

Batman is living in the state of New Jersey, according to Wikidata's information about Gotham City.

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

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

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

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

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

[User] which state inside USA is batman living in?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Batman" in Wikidata.
2. We need to determine Batman's place of residence or where he is living.
3. We need to check if this place is a state inside the USA, and if so, which one.

First, let's search for the entity "Batman" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Batman, also known as the Dark Knight, Mordecai Wayne, Bruce Wayne, Wayne, Bruce, the Insider (wd:Q2695156): fictional character in DC Comics, chief executive officer, philanthropist, businessperson, martial artist, vigilante, detective, superhero
2. Batman, also known as the Bat-Man, the Batman, the Caped Crusader, the Bat, Sir Hemingford Grey (wd:Q2695156): fictional character in DC Comics, chief executive officer, businessperson, martial artist, philanthropist, vigilante, detective, superhero
3. Batman (wd:Q159835): central district and city in Turkey
4. Batman Province, also known as Batman (wd:Q80370): province of Turkey
5. Batman, also known as Tim Burton's Batman (wd:Q116852): 1989 film directed by Tim Burton
6. The Batman, also known as Batman (wd:Q61117344): 2022 superhero film by Matt Reeves
7. Batman: The Animated Series, also known as The Adventures of Batman & Robin., BTAS, Batman The Animated Series, Batman TAS, Batman: TAS (wd:Q673517): American animated television series
8. Batman, also known as Batman: The Movie (wd:Q810857): 1966 film directed by Leslie H. Martinson
9. Batman, also known as Batman 1966, Batman 66, Batman '66 (wd:Q1247201): 1960s American television series
10. The Batman, also known as Batman (wd:Q635933): American animated television series (2004–2008)

[Assistant]
The correct entity for Batman, the fictional character, is wd:Q2695156.

Next, I need to find out where Batman is living or his place of residence. I will search for properties related to "residence" or "location" for this entity.

[Tool]
Top 10 property alternatives:
1. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p/wdt): the place where the person is or has been, resident, location
2. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
4. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
5. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as p/wdt): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
7. student, also known as teacher to, teacher of, had student, students, pupils (wd:P802 as p/wdt): notable student(s) of the subject individual, significant person
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
10. collection, also known as editorial collection, series, repository, museum collection, held by (wd:P195 as p/wdt): art, museum, archival, or bibliographic collection of which the subject is part, part of

No other items found

[Assistant] The property "residence" (wdt:P551) is the most relevant for determining where Batman is living. Next, I will check which entities are listed as Batman's residence.

[Tool]
Got 1 row and 3 columns:
| subject              | property             | object                   |
| -------------------- | -------------------- | ------------------------ |
| Batman (wd:Q2695156) | residence (wdt:P551) | Gotham City (wd:Q732858) |

[Assistant]
Batman’s residence is listed as Gotham City (wd:Q732858). Now, I need to determine which state inside the USA Gotham City is located in, if any.

Since Gotham City is a fictional city, I will look for properties or statements about its location or equivalent real-world location, especially regarding US states.

[Tool]
Top 10 property alternatives:
1. 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 p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
2. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
3. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
4. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
5. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
6. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
7. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as p/wdt): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)
8. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as p/wdt): maker of this creative work or other object (where no more specific property exists)

No other items found

[Tool]
Got 3 rows and 3 columns:
| subject                  | property                                                    | object                                     |
| ------------------------ | ----------------------------------------------------------- | ------------------------------------------ |
| Gotham City (wd:Q732858) | located in the administrative territorial entity (wdt:P131) | United States (wd:Q30)                     |
| Gotham City (wd:Q732858) | located in the administrative territorial entity (wdt:P131) | New Jersey (wd:Q1408)                      |
| Gotham City (wd:Q732858) | located in the administrative territorial entity (wdt:P131) | East Coast of the United States (wd:Q4268) |

[Tool]
Got 1 row and 1 column:
| state                 |
| --------------------- |
| New Jersey (wd:Q1408) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( ?member ) AS ?numWomenFounders ) WHERE {
  VALUES ?member {
    wd:Q229272 wd:Q161143 wd:Q156700 wd:Q164124
  }
  ?member wdt:P21 wd:Q6581072 .
}

Got 1 row and 1 column:
| numWomenFounders |
| ---------------- |
| 0 (xsd:int)      |

There were zero women among the founding members of 'The Bridge' ('Die Brücke').

[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 women were amongst the founding members of “The Bridge” (“Die Brücke”)?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "The Bridge" ("Die Brücke"), which is an artist group.
2. We need to find its founding members.
3. We need to determine which of those founding members were women.
4. Finally, we need to count the number of women among the founding members.

Let's start by searching for the entity "The Bridge" or "Die Brücke" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Die Brücke, also known as The Bridge (wd:Q152778): German expressionist artist group
2. The Bridge, also known as Die Brücke, Freedom to Die (wd:Q509003): 1959 film directed by Bernhard Wicki
3. The Bridge, also known as Die Brücke (wd:Q1211772): short story by Franz Kafka
4. Die Brücke (wd:Q1211761): 2008 film directed by Wolfgang Panzer
5. Die Brücke (wd:Q895658): voluntary association
6. Die Brücke (wd:Q1211771): 1958 novel by Gregor Dorfmeister
7. Die Brücke (wd:Q1211766): former culture club in Brunswick, Germany
8. Brücke, Die (wd:Q103894820): encyclopedia article
9. Die Brücke (wd:Q123592907): periodical
10. Die Brücke (wd:Q120402955)

[Assistant]
The most relevant entity for "The Bridge" ("Die Brücke") as the German expressionist artist group is wd:Q152778.

Next, we need to find the founding members of this group. Let's search for properties related to "founding member" or "founder" for this entity.

[Tool]
Top 10 property alternatives:
1. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as p/wdt): founder or co-founder of this organization, religion, place or entity, creator
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
3. influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as p/wdt): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”
4. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
5. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as wdtn/p/wdt): identifier from an international authority file of names, subjects, and organizations
6. followed by, also known as continued as, then, successor, succeeded by, sequel is (wd:P156 as p/wdt): immediately following item in a series of which the subject is a...een replaced, e.g. political offices, use "replaced by" (P1366)]

No other items found

[Tool]
Got 4 rows and 3 columns:
| subject                 | property              | object                             |
| ----------------------- | --------------------- | ---------------------------------- |
| Die Brücke (wd:Q152778) | founded by (wdt:P112) | Ernst Ludwig Kirchner (wd:Q229272) |
| Die Brücke (wd:Q152778) | founded by (wdt:P112) | Karl Schmidt-Rottluff (wd:Q161143) |
| Die Brücke (wd:Q152778) | founded by (wdt:P112) | Erich Heckel (wd:Q156700)          |
| Die Brücke (wd:Q152778) | founded by (wdt:P112) | Fritz Bleyl (wd:Q164124)           |

[Assistant]
There are four founding members of "Die Brücke" (The Bridge):

1. Ernst Ludwig Kirchner (wd:Q229272)
2. Karl Schmidt-Rottluff (wd:Q161143)
3. Erich Heckel (wd:Q156700)
4. Fritz Bleyl (wd:Q164124)

Now, we need to determine the gender of each founding member to see how many were women. Let's search for the property related to gender.

[Tool]
Top 10 property alternatives:
1. grammatical gender, also known as gender (wd:P5185 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): female form of name or title (for male use P3321)
8. gender educated (wd:P7419 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/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]
Got 1 row and 3 columns:
| subject                            | property                | object             |
| ---------------------------------- | ----------------------- | ------------------ |
| Ernst Ludwig Kirchner (wd:Q229272) | sex or gender (wdt:P21) | male (wd:Q6581097) |

[Tool]
Got 1 row and 3 columns:
| subject                            | property                | object             |
| ---------------------------------- | ----------------------- | ------------------ |
| Karl Schmidt-Rottluff (wd:Q161143) | sex or gender (wdt:P21) | male (wd:Q6581097) |

[Tool]
Got 1 row and 3 columns:
| subject                   | property                | object             |
| ------------------------- | ----------------------- | ------------------ |
| Erich Heckel (wd:Q156700) | sex or gender (wdt:P21) | male (wd:Q6581097) |

[Tool]
Got 1 row and 3 columns:
| subject                  | property                | object             |
| ------------------------ | ----------------------- | ------------------ |
| Fritz Bleyl (wd:Q164124) | sex or gender (wdt:P21) | male (wd:Q6581097) |

[Assistant]
All four founding members of "Die Brücke" (The Bridge) are listed as male in Wikidata.

Therefore, the number of women among the founding members is zero.

I will now provide the final SPARQL query and answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?parent WHERE {
  VALUES ?prop {
    wdt:P8810 wdt:P22 wdt:P25
  }
  wd:Q913 ?prop ?parent .
}

The parents of Socrates were Phaenarete (wd:Q2263186) and Sophroniscus (wd:Q2303035).

[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 were the parents of Socrates ?

[Assistant]
Let's break down the question:

1. The user is asking for the parents of Socrates.
2. First, I need to identify the Wikidata entity for Socrates.
3. Then, I need to find the property in Wikidata that links a person to their parents.
4. Finally, I will construct a SPARQL query to retrieve the parents of Socrates.

First, I'll search for the entity "Socrates" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Socrates (wd:Q913): 5th-century BCE Greek philosopher, philosopher, ethicist, teacher, writer
2. Sócrates, also known as Socrates, Sócrates Brasileiro Sampaio de Souza Vieira de Oliveira (wd:Q102331): Brazilian association football player (1954-2011), association football player, physician
3. Socrates programme, also known as SOCRATES, Socrates II, Socrates I (wd:Q474650): (1994-2006)
4. Socrates, also known as Socrate (wd:Q3963888): 1971 film directed by Roberto Rossellini
5. SOCRATES (wd:Q7553104): mnemonic acronym used by emergency medical services
6. Sócrates, also known as Socrates (wd:Q65171832): 2018 film
7. Socrates Drank the Conium, also known as Socrates (wd:Q933405): Greek rock band
8. Socrates of Rhodes, also known as Socrates, Socrates Rhodius (wd:Q11950679): Greek historian 1st century BCE, author of a history of the Roman civil war, historian
9. SOCRATES, also known as Space Optical Communications Research Advanced Technology Satellite (wd:Q17054612): Japanese micro-satellite launched in 2014
10. Socrates (wd:Q7553101): play by Voltaire

[Assistant]
The most relevant entity for the philosopher Socrates is wd:Q913.

Next, I need to find the property that links a person to their parents in Wikidata. I'll search for the property "parent".

[Tool]
Top 10 property alternatives:
1. parent, also known as guardian, parents (wd:P8810 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): parent of the subject. Only use if neither father (P22) nor mother (P25) nor stepparent (P3448) is applicable., relative
2. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
3. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
4. child, also known as has son, kids, mother of, kid, issue (wd:P40 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
5. broader concept, also known as parent concept, wider term, wider concept, nearest matched item above this one in external hierarchy, is a child concept of (wd:P4900 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): qualifier to indicate a broader concept that the present item is... source. The statement being qualified should be an exact match.
6. parent club, also known as affiliate of, major league affiliate, parent team (wd:P831 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): parent club of this team
7. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
8. parent astronomical body, also known as star, primary, parent body, orbits, planetary system (wd:P397 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): major astronomical body the item belongs to
9. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): all resources related by this property are also related by that property, related property
10. hybrid of, also known as cultivar from, parent breed, parent cultivar, parent of this hybrid, parent of this hybrid, breed, or cultivar (wd:P1531 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): parent of this hybrid breed or cultivar

[Assistant]
The relevant properties for parents are:
- parent (wdt:P8810)
- mother (wdt:P25)
- father (wdt:P22)

To be thorough, I will retrieve all three (parent, mother, and father) for Socrates (wd:Q913).

Now, I'll construct a SPARQL query to get the parents of Socrates using these properties, and also try to get their labels if available.

[Tool]
Got 2 rows and 2 columns:
| parent                     | parentLabel       |
| -------------------------- | ----------------- |
| Phaenarete (wd:Q2263186)   | Phaenarete (en)   |
| Sophroniscus (wd:Q2303035) | Sophroniscus (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q567 wdt:P569 ?dob1 .
  wd:Q9545 wdt:P569 ?dob2 .
  FILTER ( YEAR( ?dob1 ) = YEAR( ?dob2 ) )
}

No, Angela Merkel and Tony Blair were not born in the same year.

[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] Were Angela Merkel and Tony Blair born in the same year?

[Assistant]
Let's break down the question:

1. We need to identify the entities for Angela Merkel and Tony Blair in Wikidata.
2. We need to find the property for "date of birth".
3. We need to compare the years of birth for both individuals and check if they are the same.
4. Since the question is a yes/no question, the final SPARQL query should be an ASK query.

First, I will search for the Wikidata entities for Angela Merkel and Tony Blair.

[Tool]
Top 10 entity alternatives:
1. Angela Merkel, also known as Angela Dorothea Merkel, leader of the free world, Angela Kasner (wd:Q567): chancellor of Germany from 2005 to 2021, politician, physicist
2. Angela Merkel (wd:Q94746073)
3. Angela Merkel (wd:Q41495976): Polish Biography of Angela Merkel
4. Angela Merkel (wd:Q41495489): German biography of Angela Merkel
5. Angela Merkel (wd:Q125701744)
6. family of Angela Merkel (wd:Q27973987): family of Angela Merkel, the Chancellor of Germany
7. Lentapedia / Angela Merkel (wd:Q17316816): encyclopedia article
8. Angela Merkel and Vladimir Putin (wd:Q127786484)
9. public image of Angela Merkel (wd:Q106041150)
10. Angela Merkel - The Unexpected (wd:Q28464539): 2016 documentary film by Torsten Körner and Matthias Schmidt

[Tool]
Top 10 entity alternatives:
1. Tony Blair, also known as Rt. Hon. Tony Blair, Sir Anthony Charles Lynton Blair, Sir Tony Blair, The Rt. Hon. Sir Anthony Charles Lynton Blair PC KC, Anthony Blair (wd:Q9545): Prime Minister of the United Kingdom from 1997 to 2007, autobiographer, politician, diplomat, lawyer
2. Tony Blair (wd:Q7821910): 1999 single by Chumbawamba
3. Tony Blair (wd:Q16429010)
4. Tony Blair (wd:Q28052457): painting by Alastair Adams
5. Tony Blair (wd:Q63892269): musical character in the musical TONY! The Blair Musical; the Prime Minister of the United Kingdom and lead figure of the musical
6. Tony Blair Institute (wd:Q30592102): non-profit organization
7. Tony Blair Associates (wd:Q17513270): organization
8. Tony Blair, MP (wd:Q119583376): painting by Philip Oliver Hale (b.1963), Parliamentary Art Collection
9. premiership of Tony Blair, also known as Blair administration (wd:Q7240404): period of the Government of the United Kingdom
10. The Trial of Tony Blair, also known as Trial of Tony Blair (wd:Q1741389): 2007 film

[Tool]
Top 10 property alternatives:
1. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): date on which the subject was born, inception
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): most specific known birth location of a person, animal or fictional character, location
3. birthday, also known as b-day, bday, birth day (wd:P3150 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): the object is a country that recognizes the subject as its citizen, country
5. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): what the place, monument, memorial, or holiday, commemorates, main subject
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): full name of a person at birth, if different from their current, generally used name, name
7. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
8. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
9. website username or ID, also known as user name, website username, website ID, username in social media, username (wd:P554 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): username or identifier on a website that the person or movement ... account on, for use as qualifier of "website account on" (P553)
10. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): alias used by someone (for nickname use P1449), name

[Assistant]
We have identified:
- Angela Merkel: wd:Q567
- Tony Blair: wd:Q9545
- Property for date of birth: wdt:P569

Now, we need to write an ASK query that checks if the year part of the date of birth for both Angela Merkel and Tony Blair is the same.

To do this, we will:
- Retrieve the date of birth for both.
- Extract the year part using the YEAR() function.
- Compare the years.

Let's construct the ASK query.

[Tool] False

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?item WHERE {
  VALUES ?item {
    wd:Q18032040
  }
}

TNFAIP1 is a protein-coding gene in the species Homo sapiens.

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

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

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

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

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

[User] What is TNFAIP1 ?

[Assistant]
Let's break down the question:

1. "TNFAIP1" is likely a gene or protein. I need to identify the corresponding entity in Wikidata.
2. The user wants to know what it is, so I should retrieve a description or label for the entity.

First, I'll search for the entity "TNFAIP1" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. TNFAIP1, also known as B61, B12, TNF alpha induced protein 1, hBACURD2, BTBD34 (wd:Q18032040): protein-coding gene in the species Homo sapiens
2. TNF alpha induced protein 1, also known as Protein B12, Tumor necrosis factor, alpha-induced protein 1, endothelial, tumor necrosis factor, alpha-induced protein 1 (endothelial), tumor necrosis factor, alpha induced protein 1, TNFAIP1 (wd:Q21116711): mammalian protein found in Homo sapiens
3. TNF alpha induced protein 1, also known as BTB/POZ domain-containing adapte...iated RhoA degradation protein 2, BTB/POZ domain-containing protein TNFAIP1, Tnfaip1, tumor necrosis factor, alpha induced protein 1, tumor necrosis factor, alpha-induced protein 1 (endothelial) (wd:Q28561340): mammalian protein found in Rattus norvegicus
4. Tnfaip1, also known as Bacurd2, Edp-1, Edp1, Tnfip1, tumor necrosis factor, alpha-induced protein 1 (endothelial) (wd:Q18255043): protein-coding gene in the species Mus musculus
5. tnfaip1, also known as zgc:55302, wu:fi06b02, tumor necrosis factor, alpha-induced protein 1 (endothelial) (wd:Q29747183): protein-coding gene in the species Danio rerio
6. TNFAIP1 (wd:Q24590424): gene of the species Macaca nemestrina
7. Tnfaip1, also known as TNF alpha induced protein 1, Edp1 (wd:Q24361388): protein-coding gene in the species Rattus norvegicus
8. Tumor necrosis factor, alpha-induced protein 1 (endothelial), also known as Tnfaip1, tumor necrosis factor induced protein 1, Tumor necrosis factor, alpha-induced protein 1, endothelial, BTB/POZ domain-containing protein TNFAIP1, BTB/POZ domain-containing adapte...iated RhoA degradation protein 2 (wd:Q21496129): mammalian protein found in Mus musculus
9. Potassium channel tetramerization domain containing 13, also known as BTB/POZ domain-containing adapte...iated RhoA degradation protein 1, BTB/POZ domain-containing protein KCTD13, CTD-2574D22.4, KCTD13, polymerase delta-interacting protein 1 (wd:Q21112778): mammalian protein found in Homo sapiens
10. Estrogen is a novel regulator of Tnfaip1 in mouse hippocampus (wd:Q45741790): scientific article published on 11 April 2014

[Assistant]
The top result for "TNFAIP1" is wd:Q18032040, which is described as a protein-coding gene in the species Homo sapiens. This matches the likely intent of your question.

To answer "What is TNFAIP1?", I will retrieve its label and description from Wikidata.

[Tool]
Got 1 row and 3 columns:
| item                   | itemLabel    | itemDescription                                      |
| ---------------------- | ------------ | ---------------------------------------------------- |
| TNFAIP1 (wd:Q18032040) | TNFAIP1 (en) | protein-coding gene in the species Homo sapiens (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?country ) AS ?border_count ) WHERE {
  wd:Q408 wdt:P47 ?country .
}

Got 1 row and 1 column:
| border_count |
| ------------ |
| 7 (xsd:int)  |

According to Wikidata, Australia shares a border with 7 countries (including maritime borders).

[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] With how many countries does Australia share a border?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Australia".
2. We need to find the property that represents "shares a border with" or "land border".
3. We need to count how many unique countries share a border with Australia.

First, let's search for the entity "Australia" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Australia, also known as AU, The Commonwealth of Australia, Stria, Straya, Stralia (wd:Q408): country in Oceania
2. Australian continent, also known as New Holland, Sahul, Nova Hollandia, Meganesia, Australinea (wd:Q3960): continent in the Earth's Southern Hemisphere
3. Australia (wd:Q275180): 2008 film by Baz Luhrmann
4. Australia (wd:Q205546): 1989 film by Jean-Jacques Andrien
5. Australia (wd:Q4823546): 1996 single by Manic Street Preachers
6. Australia (wd:Q781244): board game
7. Australia (wd:Q16835533): Racehorse
8. Australia, also known as Australia (KA–5) (wd:Q4823541): yacht that raced in the Americas Cup
9. Australia (wd:Q4823543): 2000 album by Howie Day
10. Australia (wd:Q25907685): albedo feature on the planet Mercury

[Assistant]
The correct entity for Australia as a country is wd:Q408.

Next, I need to find the property in Wikidata that represents "shares a border with" or "land border". I'll search for properties related to "border".

[Tool]
Top 10 property alternatives:
1. has boundary, also known as has border, has 2D boundary, frontier, delimited by, boundary (wd:P4777 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): element that's on the two dimensional border that surrounds the subject; the limit of an entity
2. shares border with, also known as shares borders with, next to, bordered by, border, borders clockwise (wd:P47 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): countries or administrative subdivisions, of equal level, that t...rders, either by land or water. A single common point is enough.
3. 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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): body of water on or next to which a place is located, location
4. gained territory from, also known as receives territory from, territory from (wd:P7903 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): (qualifier) territorial entity from which the subject item gained territory as a result of the event in the statement
5. 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 wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
6. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with
7. gave up territory to, also known as lost territory to, territory to (wd:P7904 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): (qualifier) territorial entity to which the subject item gave up some of its territory as a result of the event in the statement
8. line(s), also known as line, lines, verse, verse(s), verses (wd:P7421 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): line number(s) of reference for claim
9. coextensive with, also known as territory identical with, coterminous with, coincident territory, same territory as (wd:P3403 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): this item has the same boundary as the target item; area associa...s) entity is identical with the area associated with that entity
10. perimeter, also known as boundary length, circumference, coastline (wd:P2547 as wdtn/pqn/psn/psv/pq/pqv/pr/ps/prn/p/prv/wdt): linear distance around the outside of an object

[Assistant]
The most relevant property for "shares a border with" is wd:P47 ("shares border with").

Now, I will check if Australia (wd:Q408) has any values for the property "shares border with" (wd:P47), and if so, with which entities.

[Tool]
Got 7 rows and 3 columns:
| subject             | property                     | object                     |
| ------------------- | ---------------------------- | -------------------------- |
| Australia (wd:Q408) | shares border with (wdt:P47) | Indonesia (wd:Q252)        |
| Australia (wd:Q408) | shares border with (wdt:P47) | New Zealand (wd:Q664)      |
| Australia (wd:Q408) | shares border with (wdt:P47) | Papua New Guinea (wd:Q691) |
| Australia (wd:Q408) | shares border with (wdt:P47) | Timor-Leste (wd:Q574)      |
| Australia (wd:Q408) | shares border with (wdt:P47) | Vanuatu (wd:Q686)          |
| Australia (wd:Q408) | shares border with (wdt:P47) | Solomon Islands (wd:Q685)  |
| Australia (wd:Q408) | shares border with (wdt:P47) | New Caledonia (wd:Q33788)  |

[Assistant]
According to Wikidata, Australia (wd:Q408) is listed as sharing a border with seven entities: Indonesia, New Zealand, Papua New Guinea, Timor-Leste, Vanuatu, Solomon Islands, and New Caledonia.

However, in reality, Australia does not have any land borders; these are likely maritime boundaries. The property "shares border with" (wd:P47) in Wikidata can include both land and maritime borders.

To answer the question as per Wikidata's data, I will count the number of entities linked via "shares border with" (wd:P47) for Australia.

[Tool]
Got 1 row and 1 column:
| border_count |
| ------------ |
| 7 (xsd:int)  |

[Tool] Stopped generation process