PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?goal WHERE {
  wd:Q322170 wdt:P3712 ?goal
}

The suffragettes stood for women's suffrage (the right of women to vote).

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

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

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

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

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

[User] What did the suffragettes stand for?

[Assistant]
Let's break down the question:

1. The user is asking about the "suffragettes" and what they "stood for"—that is, their goals, principles, or causes.
2. In Wikidata, "suffragettes" likely refers to a movement or group, and "stood for" could be represented by properties such as "cause," "goal," "ideology," or "main subject."

Step 1: Identify the entity for "suffragettes."
I'll search for "suffragettes" in Wikidata to find the relevant entity.

Step 2: Identify properties that describe what a movement stands for.
I'll search for properties like "cause," "goal," or "ideology" that could be used with the suffragette entity.

Let's start by searching for the entity "suffragettes."

[Tool]
Top 10 entity alternatives:
1. suffragette, also known as suffragettes (wd:Q322170): member of the Woman's Social and Political Union who advocated for women's right to vote
2. suffragettes (wd:L328761-F2)
3. Coontown Suffragettes (wd:Q20004604): 1914 silent short film
4. Song Suffragettes (wd:Q28401911): All Female Songwriter Round
5. The Suffragettes (wd:Q20477383): painting by Victor Pasmore
6. The Clam-Shell Suffragettes (wd:Q20802220): 1915 short film
7. The medical suffragettes (wd:Q50179887): scientific article
8. A Cure for Suffragettes (wd:Q24238887): 1913 film by Edward Dillon
9. Kate Sheppard National Memorial, also known as Tribute to the Suffragettes (wd:Q23073296): memorial to the women's suffrage campaign, located in Christchurch, New Zealand
10. Historiography of the Suffragettes (wd:Q64876675)

[Assistant]
The top result, "suffragette" (wd:Q322170), is described as a member of the Woman's Social and Political Union who advocated for women's right to vote. This is the most relevant entity for the question.

Next, I need to find properties that describe what this group "stood for." Likely candidates are "cause," "goal," "ideology," or similar.

I'll search for properties related to "cause" for the entity wd:Q322170.

[Tool]
Top 10 property alternatives:
1. has goal, also known as intention, mission, objective, objective of project or action, project of (wd:P3712 as p/wdt): desired result or outcome
2. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
3. indigenous to, also known as native to, originating from, spoken by (wd:P2341 as p/wdt): place or ethnic group where a language, art genre, cultural trad...biological species or variety is found (or was originally found)
4. 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
5. 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)
6. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
7. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as p/wdt): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one
8. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as p/wdt): item that is different from another item, with which it may be confused
9. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as p/wdt): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
10. 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)

No other items found

[Assistant]
The property "has goal" (wd:P3712) is directly relevant to what the suffragettes "stood for," as it describes the desired result or outcome of an entity.

Next, I'll check if the entity wd:Q322170 (suffragette) has any values for the property "has goal" (wd:P3712).

[Tool]
Got 1 row and 3 columns:
| subject                  | property             | object                        |
| ------------------------ | -------------------- | ----------------------------- |
| suffragette (wd:Q322170) | has goal (wdt:P3712) | women's suffrage (wd:Q205204) |

[Tool]
Got 1 row and 2 columns:
| goal                          | goalLabel             |
| ----------------------------- | --------------------- |
| women's suffrage (wd:Q205204) | women's suffrage (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer is correct and concise. The SPARQL query directly retrieves the goal of the suffragettes (wd:Q322170) using the appropriate property (wdt:P3712), and the result matches the expected answer (women's suffrage). The query returns the IRI as required, and no additional computation or unsupported features are used. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?mountain ?elevation WHERE {
  wd:Q195351 wdt:P20 ?mountain .
  ?mountain wdt:P2044 ?elevation
}

Nanga Parbat, the mountain where Günther Messner died, has an elevation of 8,126 meters above sea level.

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

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

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

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

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

[User] How high is the mountain on which Günther Messner died?

[Assistant]
First, I need to identify the following entities and properties:
1. The entity for Günther Messner.
2. The property for "place of death".
3. The entity for the mountain where Günther Messner died.
4. The property for "elevation" or "height" of a mountain.

Let's start by searching for the entity "Günther Messner".

[Tool]
Top 10 entity alternatives:
1. Günther Messner (wd:Q195351): Italian mountain climber (1946-1970), mountaineer, explorer
2. Günther Messner Biwak (wd:Q65236135)
3. Alta Via Günther Messner (wd:Q3955425)
4. Albert Günther, also known as Albert Charles Lewis Gotthilf Günther, Günther, Albert Karl Ludwig Gotthilf Günther, Albert C. L. G. Gunther (wd:Q57514): Anglo-German zoologist (1830–1914), zoological collector, ichthyologist, herpetologist, biologist, zoologist, curator
5. Günther, also known as Gunther & The Sunshine Girls, Mats Söderlund (wd:Q465670): Swedish singer, singer, model
6. Gunther, also known as Gyntiarios, Guntiarius, Gundichar, Guntiar, Gunthahar (wd:Q339094): semi-legendary king of Burgundy of the early 5th century, politician
7. Gunther, also known as Big Van Walter, Walter Hahn, Walter (wd:Q11330762): Austrian professional wrestler, professional wrestler
8. Gunther (wd:Q897146): Archbishop of Cologne in Germany, Catholic priest
9. Matthäus Günther, also known as Günther, m. gunther, Matthüs Günther, Matthaus Gunther, Matthaus Gundter (wd:Q463504): German artist (1705-1788), university teacher, painter
10. Frauenarzt, also known as Vicente de Teba, Gynikologe, Räuber Rob, MC Digital F, Vicente de Teba Költerhoff (wd:Q487008): German rapper from Berlin, recording artist, rapper, singer

[Assistant]
The correct entity for Günther Messner is wd:Q195351.

Next, I need to find the property for "place of death" to determine the mountain where he died.

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as p/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
3. 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
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
5. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
6. 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)
7. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
8. family name, also known as clan name, last name, surname (wd:P734 as p/wdt): part of full name of person, name
9. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as p/wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
10. 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)

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                      | property                 | object                    |
| ---------------------------- | ------------------------ | ------------------------- |
| Günther Messner (wd:Q195351) | place of death (wdt:P20) | Nanga Parbat (wd:Q130736) |

[Assistant]
Günther Messner died on Nanga Parbat (wd:Q130736).

Now, I need to find the property for "elevation" or "height" for the mountain Nanga Parbat. I'll search for a property related to "elevation" or "height".

[Tool]
Top 10 property alternatives:
1. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as p/wdt): height of the item (geographical object) as measured relative to sea level
2. mountain range, also known as system of mountains, hill range, range, parent range, mountain system (wd:P4552 as p/wdt): range or subrange to which the geographical item belongs, geomorphological unit
3. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
4. topographic prominence, also known as prominence (wd:P2660 as p/wdt): height of a mountain or hill relative to the lowest contour line encircling it (on Earth, maximum 8,848 m), height
5. topographic isolation, also known as isolation (wd:P2659 as p/wdt): minimum distance to a point of higher elevation
6. aerial view, also known as overhead view, sky view, orthophotograph, orthophoto, aerial image (wd:P8592 as p/wdt): image of the subject taken from the air, video, image
7. continent (wd:P30 as p/wdt): continent of which the subject is a part, located in/on physical feature
8. SummitPost ID, also known as SummitPost mountain ID (wd:P3309 as p/wdt): identifier of a mountain or other location on SummitPost
9. 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
10. 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

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                   | property                              | object             |
| ------------------------- | ------------------------------------- | ------------------ |
| Nanga Parbat (wd:Q130736) | elevation above sea level (wdt:P2044) | 8126 (xsd:decimal) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the mountain where Günther Messner died (using wd:Q195351 wdt:P20 ?mountain) and its elevation (wdt:P2044 ?elevation). The result provides the IRI for Nanga Parbat and its elevation in meters, fully answering the question. No further refinement is necessary.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK {
  wd:Q66432 wdt:P1344 ?edition .
  ?edition wdt:P31 wd:Q33881
}

Yes, Udo Bölts participated in the Tour de France.

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

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

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

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

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

[User] Did Udo Bölts participate in the Tour de France?

[Assistant]
Let's break down the question:

1. The user is asking whether Udo Bölts participated in the Tour de France.
2. I need to identify the entities "Udo Bölts" and "Tour de France" in Wikidata.
3. I need to find the property that links a person to their participation in an event, specifically a cycling race.

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

[Tool]
Top 10 entity alternatives:
1. Udo Bölts (wd:Q66432): German racing cyclist, sport cyclist
2. Wadjet, also known as Buto, Udṓ, Weʾd’ōjet (wd:Q146007): Ancient Egyptian snake-headed goddess, symbolizing Lower Egypt
3. Tampa Bay Lightning, also known as Bolts, Lightning, The Tampa Bay Lightning (wd:Q201864): ice hockey team of the National Hockey League
4. Udo (wd:Q496912): island
5. Udo, also known as Udo (Obotrite prince) (wd:Q13424614): Obotrite prince
6. Ultra Density Optical, also known as UDO (wd:Q1932063): optical disc format
7. Udo, also known as Udo (first name), Udo (given name) (wd:Q1465588): male given name
8. Lothair Udo I, Count of Stade, also known as Lothar-Udo I of Stade, Udo (wd:Q20498306): Count of Stade (950–994)
9. Udo Mechels, also known as Udo (wd:Q359510): Belgian Flemish singer-songwriter, singer
10. U Island, also known as U-do, Udo (wd:Q12608825): island in Incheon, Korea

[Assistant]
The correct entity for Udo Bölts is wd:Q66432.

Next, I'll search for the entity "Tour de France" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Tour de France, also known as Souvenir Henri Desgrange, TdF, Le Tour de France, Le Tour, La Grande Boucle (wd:Q33881): multiple-stage bicycle race primarily held in France
2. Tour de France (wd:Q2425911): 1983 Kraftwerk song
3. Pro Cycling Manager 2011, also known as Pro Cycling Manager: Season 2011, Tour de France (wd:Q3406163): 2011 video game
4. Tour de France (wd:Q23925083): 2016 film by Rachid Djaïdani
5. Tour de France, also known as Le Tour de France (wd:Q16964929): video game series
6. Tour de France (wd:Q3533332)
7. Tour de France (wd:Q70142694): 1985 video game
8. 2014 Tour de France, also known as Tour de France 2014, TdF 2014, Le Tour de France 2014 (wd:Q895853): 2014 edition of a multiple-stage bicycle race primarily held in France
9. 2012 Tour de France (wd:Q219414): cycling competition
10. 2010 Tour de France (wd:Q217287): cycling race

[Assistant]
The correct entity for the Tour de France is wd:Q33881.

Now, I need to find the property that links a person (Udo Bölts) to their participation in an event (Tour de France). Likely candidates are properties related to "participant," "competition," or "event participation." I'll search for properties related to "participation" for Udo Bölts.

[Tool]
Top 10 property alternatives:
1. 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
2. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as p/wdt): sports teams or clubs that the subject represents or represented, member of
3. 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
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
5. 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
6. 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)
7. Commons category, also known as category on Wikimedia Commons, Wikimedia Commons category, Wikimedia Commons cat, Commons cat, commonscat (wd:P373 as p/wdt): name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:")
8. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as p/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
9. 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)
10. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as p/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)

No other items found

[Assistant]
The property "participant in" (wdt:P1344) is likely the correct one to check if Udo Bölts participated in the Tour de France.

Now, I will construct an ASK query to check if there is a triple where Udo Bölts (wd:Q66432) is a participant in (wdt:P1344) the Tour de France (wd:Q33881).

[Tool] False

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject               | property                   | object                                      |
| --------------------- | -------------------------- | ------------------------------------------- |
| Udo Bölts (wd:Q66432) | participant in (wdt:P1344) | 1997 Tour de France (wd:Q757405)            |
| Udo Bölts (wd:Q66432) | participant in (wdt:P1344) | 1990 UCI Road World Rankings (wd:Q2976088)  |
| Udo Bölts (wd:Q66432) | participant in (wdt:P1344) | 1991 UCI Road World Rankings (wd:Q2976089)  |
| Udo Bölts (wd:Q66432) | participant in (wdt:P1344) | 1992 UCI Road World Rankings (wd:Q2976092)  |
| Udo Bölts (wd:Q66432) | participant in (wdt:P1344) | 1993 UCI Road World Rankings (wd:Q53843867) |
| Udo Bölts (wd:Q66432) | participant in (wdt:P1344) | 1994 UCI Road World Rankings (wd:Q53844929) |
| Udo Bölts (wd:Q66432) | participant in (wdt:P1344) | 1995 UCI Road World Rankings (wd:Q53844930) |
| Udo Bölts (wd:Q66432) | participant in (wdt:P1344) | 1996 UCI Road World Rankings (wd:Q53844931) |
| Udo Bölts (wd:Q66432) | participant in (wdt:P1344) | 1999 UCI Road World Rankings (wd:Q53844934) |
| Udo Bölts (wd:Q66432) | participant in (wdt:P1344) | wd:Q53844932                                |
| ...                   | ...                        | ...                                         |

[Tool]
Top 10 entity alternatives:
1. 1997 Tour de France (wd:Q757405): cycling race
2. 1997 Tournoi de France, also known as Tournoi de France 1997 (wd:Q1813633): football competition
3. 1997 Tour de France, prologue (wd:Q3407339)
4. 1997 Tour de France, stage 16 (wd:Q19952755)
5. 1997 Tour de France, stage 19 (wd:Q22955850)
6. 1997 Tour de France, stage 18 (wd:Q19787923)
7. 1997 Tour de France, stage 17 (wd:Q19787924)
8. 1997 Tour de France, stage 15 (wd:Q19952754)
9. 1997 Tour de France, stage 14 (wd:Q19952753)
10. 1997 Tour de France, stage 13 (wd:Q19952752)

[Assistant]
From the previous results, Udo Bölts (wd:Q66432) is listed as a participant in the 1997 Tour de France (wd:Q757405), which is an instance of the Tour de France.

Therefore, although there is no direct triple linking Udo Bölts to the general Tour de France entity (wd:Q33881), there are triples linking him to specific editions of the Tour de France.

To answer the question precisely, I will write an ASK query to check if Udo Bölts participated in any edition of the Tour de France by checking if he is a participant in any entity that is an instance of the Tour de France (wd:Q33881).

I will do this by checking for any ?edition such that:
- wd:Q66432 wdt:P1344 ?edition
- ?edition wdt:P31 wd:Q33881

Let's construct and execute this query.

[Tool] True

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The ASK query checks whether Udo Bölts (wd:Q66432) participated in any event that is an instance of the Tour de France (wd:Q33881) by following the 'participant in' property (wd:P1344). The answer 'Yes' is justified by the query returning True. The query follows all the specified rules for ASK queries and does not include any unsupported constructs. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?son ?sonLabel ?occupation ?occupationLabel WHERE {
  VALUES ?son {
    wd:Q311238 wd:Q357974 wd:Q124306663 wd:Q124306740
  }
  OPTIONAL {
    ?son wdt:P106 ?occupation .
    OPTIONAL {
      ?occupation rdfs:label ?occupationLabel FILTER ( lang( ?occupationLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?son rdfs:label ?sonLabel FILTER ( lang( ?sonLabel ) = "en" )
  }
}

Got 18 rows and 4 columns, showing the first 5 and last 5 rows below:
| son                             | sonLabel             | occupation                      | occupationLabel        |
| ------------------------------- | -------------------- | ------------------------------- | ---------------------- |
| John Ono Lennon (wd:Q124306663) | John Ono Lennon (en) |                                 |                        |
| John Lennon III (wd:Q124306740) | John Lennon III (en) |                                 |                        |
| Sean Lennon (wd:Q311238)        | Sean Lennon (en)     | singer (wd:Q177220)             | singer (en)            |
| Sean Lennon (wd:Q311238)        | Sean Lennon (en)     | actor (wd:Q33999)               | actor (en)             |
| Sean Lennon (wd:Q311238)        | Sean Lennon (en)     | screenwriter (wd:Q28389)        | screenwriter (en)      |
| ...                             | ...                  | ...                             | ...                    |
| Julian Lennon (wd:Q357974)      | Julian Lennon (en)   | composer (wd:Q36834)            | composer (en)          |
| Julian Lennon (wd:Q357974)      | Julian Lennon (en)   | guitarist (wd:Q855091)          | guitarist (en)         |
| Julian Lennon (wd:Q357974)      | Julian Lennon (en)   | poet (wd:Q49757)                | poet (en)              |
| Julian Lennon (wd:Q357974)      | Julian Lennon (en)   | singer-songwriter (wd:Q488205)  | singer-songwriter (en) |
| Julian Lennon (wd:Q357974)      | Julian Lennon (en)   | recording artist (wd:Q55960555) | recording artist (en)  |

Sean Lennon: singer, actor, screenwriter, composer, guitarist, poet, singer-songwriter, recording artist. Julian Lennon: composer, guitarist, poet, singer-songwriter, recording artist. John Ono Lennon and John Lennon III have no listed professions in Wikidata.

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

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

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

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

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

[User] What are the professions of John Lennon’s sons?

[Assistant]
Let's break down the question:

1. We need to identify John Lennon's sons.
2. For each son, we need to find their professions.

First, I will search for "John Lennon" in Wikidata to get his entity ID. Then, I will look for his children, and finally, for each son, I will retrieve their professions.

Let's start by searching for "John Lennon".

[Tool]
Top 10 entity alternatives:
1. John Lennon, also known as John Winston Ono Lennon, John Ono Lennon (wd:Q1203): British musician (1940–1980), political activist, singer-songwriter, recording artist, record producer, peace activist, public figure, film director, film producer, prose writer, film actor, guitarist, composer, painter, pianist, singer, writer, actor, poet
2. Liverpool John Lennon Airport, also known as John Lennon, John Lennon airport, Liverpool Airport, Liverpool (John Lennon), LPL (wd:Q8727): airport in Liverpool, England
3. John Lennon Silva Santos, also known as John Lennon (wd:Q6244563): association football player, Brazilian footballer
4. John Brown Lennon, also known as John B. Lennon, John Lennon (wd:Q6223555): American labor leader (1850–1923), trade unionist
5. John Lennon, also known as J. John Lennon, Justin John Lennon (wd:Q11979004): Scottish tourism researcher, university teacher, tourism scholar
6. John Lennon (wd:Q65548791): Irish hurler born 1996
7. John Lennon (wd:Q6244553): British naval captain, military personnel
8. John Lennon (wd:Q12871620): 1855 - 3 Aug 1921
9. John Lennon (wd:Q125643070): 2005 edition of written work by Jordi Sierra i Fabra
10. John Lennon (wd:Q106781630): 2015 song by SCH

[Assistant]
The correct entity for John Lennon, the British musician, is wd:Q1203.

Next, I will look for his children. Typically, the property for "child" is used for this. I will search for properties related to "child" for John Lennon.

[Tool]
Top 10 property alternatives:
1. child, also known as has son, kids, mother of, kid, issue (wd:P40 as p/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
2. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as p/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 p/wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
4. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as p/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
5. number of children, also known as children, children (number), how many children, issue, kids (wd:P1971 as p/wdt): number of children of the person, animal, or character
6. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as p/wdt): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative
7. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
8. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location

No other items found

[Tool]
Got 4 rows and 3 columns:
| subject                | property        | object                          |
| ---------------------- | --------------- | ------------------------------- |
| John Lennon (wd:Q1203) | child (wdt:P40) | Sean Lennon (wd:Q311238)        |
| John Lennon (wd:Q1203) | child (wdt:P40) | Julian Lennon (wd:Q357974)      |
| John Lennon (wd:Q1203) | child (wdt:P40) | John Ono Lennon (wd:Q124306663) |
| John Lennon (wd:Q1203) | child (wdt:P40) | John Lennon III (wd:Q124306740) |

[Assistant]
John Lennon has four children listed:
1. Sean Lennon (wd:Q311238)
2. Julian Lennon (wd:Q357974)
3. John Ono Lennon (wd:Q124306663)
4. John Lennon III (wd:Q124306740)

However, based on public knowledge, only Sean Lennon and Julian Lennon are widely recognized as his sons. The other two may be errors or less notable entries, but I will include all for completeness.

Next, I need to determine the professions of each son. The property for "profession" is typically "occupation." I will search for the property "occupation" to confirm its ID.

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

[Assistant]
The property for "occupation" is wd:P106.

Now, I will retrieve the occupations for each of John Lennon's sons:
- Sean Lennon (wd:Q311238)
- Julian Lennon (wd:Q357974)
- John Ono Lennon (wd:Q124306663)
- John Lennon III (wd:Q124306740)

I will construct a SPARQL query to get the occupations for these entities, including their IRIs and optionally their labels.

[Tool]
Got 18 rows and 4 columns, showing the first 5 and last 5 rows below:
| son                             | sonLabel             | occupation                      | occupationLabel        |
| ------------------------------- | -------------------- | ------------------------------- | ---------------------- |
| John Ono Lennon (wd:Q124306663) | John Ono Lennon (en) |                                 |                        |
| John Lennon III (wd:Q124306740) | John Lennon III (en) |                                 |                        |
| Sean Lennon (wd:Q311238)        | Sean Lennon (en)     | singer (wd:Q177220)             | singer (en)            |
| Sean Lennon (wd:Q311238)        | Sean Lennon (en)     | actor (wd:Q33999)               | actor (en)             |
| Sean Lennon (wd:Q311238)        | Sean Lennon (en)     | screenwriter (wd:Q28389)        | screenwriter (en)      |
| ...                             | ...                  | ...                             | ...                    |
| Julian Lennon (wd:Q357974)      | Julian Lennon (en)   | composer (wd:Q36834)            | composer (en)          |
| Julian Lennon (wd:Q357974)      | Julian Lennon (en)   | guitarist (wd:Q855091)          | guitarist (en)         |
| Julian Lennon (wd:Q357974)      | Julian Lennon (en)   | poet (wd:Q49757)                | poet (en)              |
| Julian Lennon (wd:Q357974)      | Julian Lennon (en)   | singer-songwriter (wd:Q488205)  | singer-songwriter (en) |
| Julian Lennon (wd:Q357974)      | Julian Lennon (en)   | recording artist (wd:Q55960555) | recording artist (en)  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the IRIs of John Lennon's sons and their respective occupations, with labels included optionally. The answer accurately summarizes the results, noting which sons have listed professions and which do not. The query and answer adhere to all specified guidelines. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?stadium ?stadiumLabel WHERE {
  wd:Q213417 wdt:P115 ?stadium .
  OPTIONAL {
    ?stadium rdfs:label ?stadiumLabel FILTER ( lang( ?stadiumLabel ) = "en" )
  }
}

The New York Yankees play at Yankee Stadium (wd:Q753529).

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

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

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

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

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

[User] In which stadium do the New York Yankees play?

[Assistant]
Let's break down the question:

1. The main entity is "New York Yankees", which is a professional baseball team.
2. The property we are looking for is the stadium where they play, which could be called "home stadium", "home venue", or similar.

First, I will search for the entity "New York Yankees" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. New York Yankees, also known as New York Highlanders, Yankees, NY Yankees, NYY, Highlanders (wd:Q213417): baseball team and Major League Baseball franchise in the Bronx, New York, United States
2. New York Yankees (wd:Q979646): defunct American football team
3. New York Yankees (wd:Q1275088): American football team from 1946 to 1949
4. New York Yankees (wd:Q7014865): American football team in 1936
5. New York Yankees (wd:Q16845944): association football (soccer) team
6. New York Yankees (wd:Q7014868): American football team in 1940
7. New York Yankees Museum (wd:Q7014872): baseball museum in The Bronx
8. New York Black Yankees, also known as Black Yankees (wd:Q7013072): Negro League Baseball team active from 1931-1948; record: 243-462-19 (.345)
9. history of the New York Yankees, also known as New York Yankees history, the New York Yankees history (wd:Q5870090): Sports team history
10. Saratoga Harlem Yankees, also known as Glens Falls-Saratoga, New York Harlem Yankees, Schenectady Yankees (wd:Q7423363): defunct American basketball team

[Assistant]
The correct entity for the New York Yankees baseball team is wd:Q213417.

Next, I need to find the property that represents the stadium or home venue of a sports team. I will search for properties related to "stadium" or "home stadium".

[Tool]
Top 10 property alternatives:
1. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as p/wdt): home stadium or venue of a sports team or applicable performing arts organization, location
2. 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
3. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as p/wdt): league or competition in which team or player has played, or in which an event occurs, participant in
4. 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
5. 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
6. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as p/wdt): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
7. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as p/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
8. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as p/wdt): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
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. SportsLogos.net team ID, also known as SportsLogos.net ID (wd:P9122 as p/wdt): identifier for a sports organization on the website Sports Logos

No other items found

[Assistant]
The property "home venue" (wdt:P115) is the correct one to use for finding the stadium where the New York Yankees play.

Now, I will construct a SPARQL query to find the stadium (home venue) of the New York Yankees (wd:Q213417), and I will also try to get its label for clarity.

[Tool]
Got 1 row and 2 columns:
| stadium                     | stadiumLabel        |
| --------------------------- | ------------------- |
| Yankee Stadium (wd:Q753529) | Yankee Stadium (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the stadium where the New York Yankees play by using the appropriate entity (wd:Q213417) and property (wdt:P115). The query returns the stadium's IRI and optionally its English label, which matches the user's question. The answer is accurate and complete.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?country WHERE {
  wd:Q1771942 wdt:P159 ?hq .
  ?hq wdt:P17 ?country
}

Got 1 row and 1 column:
| country                |
| ---------------------- |
| United States (wd:Q30) |

The United Fruit Company had their headquarters in the United States.

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

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

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

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

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

[User] In which country did the United Fruit Company have their headquarters?

[Assistant]
Let's break down the question:

1. The main entity is "United Fruit Company".
2. We are looking for the country where its headquarters were located.
3. So, we need to find:
   - The entity for United Fruit Company.
   - The property for "headquarters location".
   - The property for "country" of that location.

First, I will search for the entity "United Fruit Company" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. United Fruit Company (wd:Q1771942): American corporation
2. United Fruit Company Building (wd:Q79310992): historic building in Wellington, New Zealand
3. United Fruit Company Infrastructure (wd:Q65591387): Tentative World Heritage Site in Colombia
4. Kossick v. United Fruit Company (wd:Q19089122): United States Supreme Court case
5. United Fruit Company Medal (obverse) (wd:Q122934149): bronze medal-sample by Paul Manship
6. United Fruit Company Medal (reverse) (wd:Q122934151): bronze medal-sample by Paul Manship
7. American Banana Company v. United Fruit Company (wd:Q19037455)
8. United Fruit Company strike of 1913 (wd:Q105962401)
9. United States v. Fruit Growers' Express Company (wd:Q19030798): United States Supreme Court case
10. United Surety Company v. American Fruit Product Company (wd:Q19041555)

[Assistant]
The entity for United Fruit Company is wd:Q1771942.

Next, I need to find the property that indicates the headquarters location for a company. I will search for the property "headquarters location" in Wikidata.

[Tool]
Top 10 property alternatives:
1. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): seat of government of a country, province, state or other type of administrative territorial entity
3. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): location where persons or organisations were actively participating in employment, business or other work, significant place, location
4. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
5. organization directed by the office or position, also known as leader of, head of, leads, organization directed by, organization directed from the office (wd:P2389 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): organization which is directed by this office
6. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
7. location of creation, also known as manufactured in, manufacturing location, mint, minted at, photographed at (wd:P1071 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): place where the item was conceived or made; where applicable, location of final assembly, significant place
8. 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 pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
10. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): person or organization occupying property, used by

[Assistant]
The property for "headquarters location" is wd:P159.

Now, I need to find the country of that headquarters location. Typically, the headquarters location will be a city or building, and we need to find the country (likely using the property "country" or "located in the administrative territorial entity").

First, let's check what value is given for the headquarters location of United Fruit Company.

[Tool]
Got 1 row and 3 columns:
| subject                            | property                         | object                  |
| ---------------------------------- | -------------------------------- | ----------------------- |
| United Fruit Company (wd:Q1771942) | headquarters location (wdt:P159) | New Orleans (wd:Q34404) |

[Assistant]
The headquarters location for United Fruit Company is New Orleans (wd:Q34404).

Now, I need to find the country for New Orleans. The typical property for this is "country", but sometimes "located in the administrative territorial entity" is used. Let's check which properties are available for New Orleans related to country.

[Tool]
Top 10 property alternatives:
1. 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
2. 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
3. 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)
4. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as p/wdt): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
5. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
6. flag, also known as flag description (wd:P163 as p/wdt): subject's flag
7. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as p/wdt): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
9. name, also known as also known as, referred to as, label, known as, be known as (wd:P2561 as p/wdt): name the subject is known by; preferably use a more specific subproperty if available
10. 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

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                 | property          | object                 |
| ----------------------- | ----------------- | ---------------------- |
| New Orleans (wd:Q34404) | country (wdt:P17) | United States (wd:Q30) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the country where the headquarters of the United Fruit Company was located by first finding the headquarters location and then the country of that location. The answer matches the expected result, and the query follows all the required rules. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( ?victim ) AS ?count ) WHERE {
  ?victim wdt:P157 wd:Q201377
}

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

According to current Wikidata data, Oscar Pistorius is listed as having killed 1 person. This is based on the 'killed by' property and may not reflect all possible information.

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

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

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

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

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

[User] How many people did Oscar Pistorius kill?

[Assistant]
Let's break down the question:

1. The question is about Oscar Pistorius and the number of people he killed.
2. First, I need to identify the entity for Oscar Pistorius in Wikidata.
3. Next, I need to find the property in Wikidata that relates a person to people they have killed (possibly "has killed" or "number of victims").
4. Then, I will check if there is a direct property for "number of people killed" or if I need to count the number of "killed" statements linked to Oscar Pistorius.

Let's start by searching for the entity "Oscar Pistorius" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Oscar Pistorius, also known as Oscar Leonard Carl Pistorius, Fastest man on no legs, Blade Runner (wd:Q201377): South African sprinter and convicted murderer (born 1986), athletics competitor, murderer
2. trial of Oscar Pistorius, also known as The State v Oscar Pistorius (wd:Q16328520): adjudication of murder and gun charges brought against athlete Oscar Pistorius in 2014
3. Oscar Pistorius: Blade Runner Killer (wd:Q55698496): 2017 television film
4. Oscar Pistorius, enhancement and post-humans. (wd:Q47375029): scientific article published in September 2008
5. Mechanics of Oscar Pistorius' running blades (wd:Q6804597): blades used by South African Paralympic runner Oscar Pistorius
6. Oscar Pistorius and the melancholy of intersectionality (wd:Q58274689)
7. O, also known as letter 15, o, O, Oscar (wd:Q9941): letter of the Latin alphabet
8. Oscar, also known as Oscar dos Santos Emboaba Junior, Oscar dos Santos Emboaba Júnior (wd:Q19497): Brazilian association football player (born 1991), association football player
9. Astronotus ocellatus, also known as marble cichlid, oscar, Oscar (fish), tiger oscar, velvet cichlid (wd:Q3442): species of fish from the cichlid family
10. Nakajima Ki-43 Hayabusa, also known as Oscar, Ki-43, Hayabusa, Army Zero, Army Type 1 Fighter (wd:Q700703): Japanese fighter aircraft

[Assistant]
The correct entity for Oscar Pistorius, the South African sprinter and convicted murderer, is wd:Q201377.

Next, I need to find the property in Wikidata that relates to people killed by a person. I'll search for properties related to "kill" or "number of victims".

[Tool]
Top 10 property alternatives:
1. number of victims of killer, also known as number of persons killed, number of killed persons, number of homicide victims, kills, kill count (wd:P1345 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): people killed by the subject, both legal and illegal
2. perpetrator, also known as robber, perpetrators, perpetrated by, perp, offender (wd:P8031 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): person or organization who carried out this harmful, illegal, or immoral act, participant
3. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): person or organization who killed the subject, significant person
4. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
5. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): dissolved, abolished or demolished date, date on which the subject died, end time
6. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
7. enemy, also known as opponent, rival, archvillain, archrival, archnemesis (wd:P7047 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): opponent character or group of this fictive character or group, significant person
8. hairstyle / hairlength, also known as hair style, style of hair, hair styling, hairdo, haircut (wd:P8839 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): style or length of cutting, arranging, or combing the hair on the subject's scalp
9. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): award or recognition received by a person, organization or creative work
10. powered by, also known as propulsion, prime mover, power source, powerplant, drive (wd:P516 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): equipment or engine used by the subject to convert a source or energy into mechanical energy, has part(s)

[Assistant]
The most relevant property is "number of victims of killer" (wd:P1345), which directly gives the number of people killed by the subject.

Now, I will check if Oscar Pistorius (wd:Q201377) has a value for this property.

[Tool] Got no rows and 3 columns

[Assistant]
There is no direct value for the property "number of victims of killer" (wdt:P1345) for Oscar Pistorius in Wikidata.

As an alternative, I will check if there are statements about people killed by Oscar Pistorius using a different property, such as "has killed" or by looking for statements where Oscar Pistorius is the perpetrator or killer. I will search for properties of Oscar Pistorius related to "victim" or "killed".

[Tool]
Top 10 property alternatives:
1. 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
2. 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
3. penalty, also known as judicial sentence, punishment, sentence (wd:P1596 as p/wdt): penalty imposed by an authority
4. convicted of, also known as conviction, found guilty of, guilty of (wd:P1399 as p/wdt): crime a person was convicted of
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. place of detention, also known as internment at, internment place, jail, jailed at, penal (wd:P2632 as p/wdt): place where this person is or was detained, residence
7. medical condition, also known as disability, suffers from, suffer from, sickness, paralympic disability (wd:P1050 as p/wdt): any state relevant to the health of an organism, including diseases and positive conditions
8. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
9. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
10. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location

No other items found

[Assistant]
There is no direct property linking Oscar Pistorius to his victim(s) using "victim" in Wikidata properties.

As another approach, I will check if there are statements where Oscar Pistorius is the perpetrator or killer using the "perpetrator" (wd:P8031) or "killed by" (wd:P157) properties. I will search for entities where Oscar Pistorius is the object of "killed by".

[Tool]
Got 1 row and 3 columns:
| subject                       | property             | object                       |
| ----------------------------- | -------------------- | ---------------------------- |
| Reeva Steenkamp (wd:Q4584302) | killed by (wdt:P157) | Oscar Pistorius (wd:Q201377) |

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

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query is incorrect. The property wdt:P157 ('killed by') is used to indicate who killed a person, not who a person has killed. To answer the question 'How many people did Oscar Pistorius kill?', you should look for people where Oscar Pistorius is the killer, i.e., where Oscar Pistorius is the object of the 'killed by' property. The correct triple pattern should be: ?victim wdt:P157 wd:Q201377. However, this is the pattern already used, so the query is technically correct. However, you should also check if there are other relevant properties, such as 'murderer' or 'perpetrator', that might be used to record this information in Wikidata. Additionally, the answer should clarify that this is based on Wikidata's current data, which may not always be complete.

Status: retry, because a review of the property usage and possible alternative properties is warranted to ensure completeness.

[Assistant]
Thank you for the feedback. You are correct that the triple pattern ?victim wdt:P157 wd:Q201377 is the right approach for the "killed by" property, and that I should also check for alternative properties such as "murderer" or "perpetrator" to ensure completeness. Let's proceed step by step:

1. I have already checked "killed by" (wdt:P157) and found one victim: Reeva Steenkamp.
2. Next, I will check if there are any entities where Oscar Pistorius is listed as the "perpetrator" (wdt:P8031).
3. I will also check for the property "murderer" to see if it is used in Wikidata.

Let's start by listing entities where Oscar Pistorius is the object of the "perpetrator" property.

[Tool] Got no rows and 3 columns

[Assistant]
There are no entities in Wikidata where Oscar Pistorius is listed as the "perpetrator" (wdt:P8031).

Next, I will search for a property "murderer" to see if it exists and is used in Wikidata.

[Tool]
Top 10 property alternatives:
1. perpetrator, also known as robber, perpetrators, perpetrated by, perp, offender (wd:P8031 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): person or organization who carried out this harmful, illegal, or immoral act, participant
2. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): person or organization who killed the subject, significant person
3. victim(s), also known as sexual abuse victim, terrorist victim, shooting victim, torture victim, victims (wd:P8032 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): person(s) who were harmed from an act or event, object of occurrence, participant
4. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
5. participant, also known as suspect, player, party, participants, has participant (wd:P710 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
6. number of victims of killer, also known as number of persons killed, number of killed persons, number of homicide victims, kills, kill count (wd:P1345 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): people killed by the subject, both legal and illegal
7. number of perpetrators, also known as assailants, perpetrators (wd:P3886 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): number of perpetrators in an event, as reported by reliable sources
8. convicted of, also known as conviction, found guilty of, guilty of (wd:P1399 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): crime a person was convicted of
9. The Homicide Report person ID, also known as Los Angeles Times The Homicide Report person ID (wd:P11823 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): identifier for a homicide in Los Angeles County recorded by the Los Angeles Times' The Homicide Report project
10. defendant, also known as litigant, respondant, plaintiff in, accused (wd:P1591 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): person or organization accused at a trial, object of occurrence, participant

[Assistant]
The properties "perpetrator" (wdt:P8031) and "killed by" (wdt:P157) are the main ones used for this type of information. "Number of victims of killer" (wdt:P1345) is also relevant, but as previously checked, it is not used for Oscar Pistorius.

To ensure completeness, I will also check if any entities have Oscar Pistorius as the object of the "victim(s)" property (wdt:P8032), though this is less likely to be used for killers.

[Tool] Got no rows and 3 columns

[Assistant]
There are no entities in Wikidata where Oscar Pistorius is listed as the object of the "victim(s)" property (wdt:P8032).

Summary:
- The only property in use linking Oscar Pistorius to a killing is "killed by" (wdt:P157), with one victim: Reeva Steenkamp.
- No additional victims or relevant statements are found using "perpetrator", "number of victims of killer", or "victim(s)".

I will now provide a SPARQL query that counts the number of people for whom Oscar Pistorius is listed as the killer using "killed by" (wdt:P157), and clarify in the answer that this is based on Wikidata's current data, which may not be complete.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly counts the number of people killed by Oscar Pistorius using the appropriate property (wdt:P157) and returns the count as required by the question. The answer is clear, and the query returns the actual value as an integer, which is appropriate for this type of question. No further refinement is necessary.