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 ?film ?filmLabel WHERE {
  ?film wdt:P57 wd:Q103646 .
  ?film wdt:P31 / wdt:P279 * wd:Q11424 .
  OPTIONAL {
    ?film rdfs:label ?filmLabel .
    FILTER ( LANG( ?filmLabel ) = "en" )
  }
}
ORDER BY ?filmLabel

Using entities:
Ron Howard (wd:Q103646), also known as Ronald William Howard
film (wd:Q11424), also known as cinema, cinematic work, films, flick, motion picture, etc.

Using properties:
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
director (wd:P57 as wdt), also known as directed by, film director, game director, movie director, P57

Got 40 rows and 2 columns, showing the first 5 and last 5 rows below:
| film                                     | filmLabel                      |
| ---------------------------------------- | ------------------------------ |
| A Beautiful Mind (wd:Q164103)            | A Beautiful Mind (en)          |
| Angels & Demons (wd:Q192934)             | Angels & Demons (en)           |
| Apollo 13 (wd:Q106428)                   | Apollo 13 (en)                 |
| Backdraft (wd:Q499371)                   | Backdraft (en)                 |
| Cinderella Man (wd:Q647546)              | Cinderella Man (en)            |
| ...                                      | ...                            |
| The Shrinking of Treehorn (wd:Q67225012) | The Shrinking of Treehorn (en) |
| Thirteen Lives (wd:Q105962844)           | Thirteen Lives (en)            |
| Through the Magic Pyramid (wd:Q30806135) | Through the Magic Pyramid (en) |
| We Feed People (wd:Q116979470)           | We Feed People (en)            |
| Willow (wd:Q515931)                      | Willow (en)                    |

Answer: I executed a query that found 40 films where Ron Howard (wd:Q103646) is listed as the director. The SPARQL query returned the film IRIs and their English labels. The films include: A Beautiful Mind; Angels & Demons; Apollo 13; Backdraft; Cinderella Man; Cocoon; Eden; The Dilemma; Jim Henson Idea Man; Parenthood; Splash; Thirteen Lives; We Feed People; Willow; and others (total 40). The full SPARQL query is provided and was executed to produce these results.

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] what movies did ron howard director?

[Assistant]
Step 1 — determine entities and properties:
I will look up the Wikidata item for Ron Howard and verify the property used for "director" (likely P57). I'll search for the entity "Ron Howard" first.

[Tool]
Top 10 entity alternatives:
1. Ron Howard (wd:Q103646), also known as Ronald William Howard: American film director, producer, and actor / has occupation television producer / has occupation television director / has occupation television actor / has occupation film producer / has occupation film director / has occupation Film producer / has occupation screenwriter / has occupation voice actor / has occupation film actor / has occupation director / has occupation overseer / has occupation actor / is instance of human
2. Ron Howard (wd:Q4883): has occupation basketball player / American basketball player / is instance of human
3. Ron Howard (wd:Q3940969), also known as Ronald Ford Howard: has occupation American football player / American football player (born 1951) / has occupation basketball player / has occupation football player / is instance of human
4. Ron Howard (wd:Q107646515), also known as Ron Dean Howard: has occupation politician / is instance of human / politician
5. Ron Howard (wd:Q19874445), also known as Ronald John Howard: has occupation Australian rules football player / Australian rules footballer (1940-2023) / is instance of human
6. Ron Howard (wd:Q100982902): college basketball player (1986–1986) U.S. International / has occupation basketball player / is instance of human
7. Ron Howard (wd:Q112407850): is instance of human
8. Ronald Howard (wd:Q2165643): has occupation television actor / has occupation stage actor / British actor (1918–1996) / has occupation actor / is instance of human / British actor / British actor
9. Ronald A. Howard (wd:Q7364615, matched via Ronald Howard), also known as Ronald Arthur Howard, Ronald Howard: has occupation management engineer / has occupation university teacher / has occupation academic / is instance of human / American professor
10. Ron Howard Monologue (wd:Q110058278): is instance of Saturday Night Live sketch / sketch from Saturday Night Live

[Assistant] Step 2 — verify the property for "director" on Ron Howard in Wikidata (likely P57). I'll search for properties of Ron Howard related to "director" to confirm.

[Tool]
Top 10 property alternatives:
1. filmography (wd:P1283 as p/wdt), also known as list of films about the person, list of films the person contributed to, list of films with the person, P1283: item for the list of films a person has contributed to. Don't ... (P161) on items for films, directors with "director" (P57) / is subproperty of list of works
2. notable work (wd:P800 as p/wdt, matched via creator of), also known as artwork, author of, bibliography, books by, creator of, etc.: notable scientific, artistic or literary work, or other work of significance among subject's works / notable scientific, artistic or literary work, or other work of significance among subject's works
3. Kinopoisk person ID (wd:P2604 as p/wdt, matched via kinopoisk.ru/name/), also known as https://www.kinopoisk.ru/name/, Kinopoisk actor ID, Kinopoisk actor identifier, Kinopoisk person identifier, kinopoisk.ru/name/, etc.: identifier for a person in the Kinopoisk.ru database
4. Box Office Mojo person ID (archived) (wd:P2688 as p/wdt), also known as P2688: former identifier of a person in the Box Office Mojo database; data has been moved to IMDBPro
5. Douban movie celebrity ID (wd:P5284 as p/wdt, matched via https://movie.douban.com/celebrity), also known as douban.com person ID, Douban person ID, https://douban.com, https://m.douban.com, https://movie.douban.com, etc.: identifier for a celebrity at the Douban movie website
6. Academy Awards Database nominee ID (wd:P6150 as p/wdt, matched via Oscar nominee ID), also known as Oscar nominee ID, P6150: identifier for nominees in the official Academy Awards database
7. TMDB person ID (wd:P4985 as p/wdt, matched via themoviedb.org person ID), also known as The Movie Database person ID, The Movie Database person identifier, themoviedb.org person ID, themoviedb.org person identifier, the movie db person id, etc.: identifier for a person at The Movie Database / identifier for a person at The Movie Database / identifier for a person at The Movie Database
8. MovieMeter person ID (wd:P9463 as p/wdt), also known as MovieMeter ID, MovieMeter person identifier, P9463: identifier for a person on the MovieMeter film database / identifier for a person on the MovieMeter film database / identifier for a person on the MovieMeter film database
9. topic's main category (wd:P910 as p/wdt, matched via maincat), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
10. mother (wd:P25 as p/wdt, matched via parent), also known as child of, daughter of, has mother, is child of, is daughter of, etc.: female parent of the subject. For stepmother, use "stepparent" (P3448) / female parent of the subject. For stepmother, use "stepparent" (P3448) / female parent of the subject. For stepmother, use "stepparent" (P3448) / is subproperty of parent

No other items found

[Assistant] I will search for the property corresponding to "director" in Wikidata (commonly P57) to confirm its identifier. Then I'll query for films where Ron Howard is the director (using that property). I'll first search for the "director" property.

[Tool]
Top 10 property alternatives:
1. director / manager (wd:P1037 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via director), also known as boss, chief, director, director general, general manager, etc.: person who manages any kind of group or organisation / is subproperty of significant person / person who manages any kind of group / person who manages any kind of group
2. director (wd:P57 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as directed by, film director, game director, movie director, P57: director(s) of this motion picture, TV series, stageplay, video game or similar / director(s) of this motion picture, TV series, stageplay, video game or similar / director(s) of film, TV-series, stageplay, video game or similar / is subproperty of contributor to the creative work or subject / is subproperty of creator
3. choreographer (wd:P1809 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via dance director), also known as choreographed by, dance director, P1809: person(s) who did the choreography
4. producer (wd:P162 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via film producer), also known as creative producer, film producer, musical producer, music producer, produced by, etc.: person(s) who produced the film, musical work, theatrical ... [for production company, use P272, video games - use P178] / producer(s) of this film or music work (film: not executive producers, associate producers, etc.)
5. director of photography (wd:P344 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as cinematographer, DOP, P344: person responsible for the framing, lighting, and filtration of the subject work / person responsible for the framing, lighting and filtration of the subject work / person responsible for the framing, lighting and filtration of the subject work / is subproperty of film crew member
6. editor (wd:P98 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via publication director), also known as associate editor, compiled by, ed., edited by, editorial director, etc.: person who checks and corrects a work (such as a book, ... the text of an ancient written work or manuscript. / editor of a compiled work such as a book or academic journal / editor of a compiled work such as a book or academic journal
7. film editor (wd:P1040 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as edited by, editing by, editor, P1040: person who works with the raw footage, selecting shots and combining them into sequences to create a finished motion picture / is subproperty of film crew member
8. manufacturer (wd:P176 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via producer), also known as assembled by, assembler, brewed by, brewer, builder, etc.: (main or final) manufacturer or producer of this product / manufacturer or producer of this product
9. director of archaeological fieldwork (wd:P4345 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via dig director), also known as dig director, director of excavations, excavation director, P4345: person leading the archaeological or anthropological investigation at a given site / is subproperty of significant person
10. executive producer (wd:P1431 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as P1431: executive producer of a movie, TV show, or other piece of media or entertainment

[Assistant] I'll first verify that Ron Howard (wd:Q103646) appears as the value of the "director" property (P57) on some items — this checks that films list him as director. I'll list triples where the property is P57 to see examples. Then I'll build a query to retrieve all films with P57 = Ron Howard.

[Tool]
Got 44 rows and 3 columns, showing the first 10 rows below:
| subject                             | property           | object                  |
| ----------------------------------- | ------------------ | ----------------------- |
| A Beautiful Mind (wd:Q164103)       | director (wdt:P57) | Ron Howard (wd:Q103646) |
| Thirteen Lives (wd:Q105962844)      | director (wdt:P57) | Ron Howard (wd:Q103646) |
| Apollo 13 (wd:Q106428)              | director (wdt:P57) | Ron Howard (wd:Q103646) |
| Cocoon (wd:Q1105463)                | director (wdt:P57) | Ron Howard (wd:Q103646) |
| Splash (wd:Q1127184)                | director (wdt:P57) | Ron Howard (wd:Q103646) |
| Parenthood (wd:Q1137831)            | director (wdt:P57) | Ron Howard (wd:Q103646) |
| We Feed People (wd:Q116979470)      | director (wdt:P57) | Ron Howard (wd:Q103646) |
| The Dilemma (wd:Q1210206)           | director (wdt:P57) | Ron Howard (wd:Q103646) |
| Eden (wd:Q123472177)                | director (wdt:P57) | Ron Howard (wd:Q103646) |
| Jim Henson Idea Man (wd:Q125448412) | director (wdt:P57) | Ron Howard (wd:Q103646) |
| ...                                 | ...                | ...                     |

[Assistant] I'll run a SPARQL query that selects items with P57 (director) equal to Ron Howard (wd:Q103646) and that are instance of film (wd:Q11424) or its subclasses. I'll include English labels as optional. Now I'll execute that query.

[Tool]
Got 40 rows and 2 columns, showing the first 5 and last 5 rows below:
| film                                     | filmLabel                      |
| ---------------------------------------- | ------------------------------ |
| A Beautiful Mind (wd:Q164103)            | A Beautiful Mind (en)          |
| Angels & Demons (wd:Q192934)             | Angels & Demons (en)           |
| Apollo 13 (wd:Q106428)                   | Apollo 13 (en)                 |
| Backdraft (wd:Q499371)                   | Backdraft (en)                 |
| Cinderella Man (wd:Q647546)              | Cinderella Man (en)            |
| ...                                      | ...                            |
| The Shrinking of Treehorn (wd:Q67225012) | The Shrinking of Treehorn (en) |
| Thirteen Lives (wd:Q105962844)           | Thirteen Lives (en)            |
| Through the Magic Pyramid (wd:Q30806135) | Through the Magic Pyramid (en) |
| We Feed People (wd:Q116979470)           | We Feed People (en)            |
| Willow (wd:Q515931)                      | Willow (en)                    |

[Assistant] The query returned 40 films. I'll prepare the final SPARQL query to return all films directed by Ron Howard, including their IRIs and optional English labels. I already executed a similar query; I'll present that as the final query and return the list of films as the answer. Now I'll call the answer function with the final query and the textual answer summarizing the films.

[Tool] Stopping


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 ?school ?schoolLabel WHERE {
  wd:Q19526 wdt:P69 ?school .
  ?school wdt:P31 / wdt:P279 * wd:Q9826 .
  OPTIONAL {
    ?school rdfs:label ?schoolLabel FILTER ( LANG( ?schoolLabel ) = "en" )
  }
}

Using entities:
Maya Angelou (wd:Q19526), also known as Marguerite Anne Johnson, Marguerite Annie Johnson, Marguerite Ann Johnson, Marguerite Johnson
high school (wd:Q9826), also known as H.S., HS, senior high school, upper middle school, upper secondary school

Using properties:
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
educated at (wd:P69 as wdt), also known as alma mater, alumna of, alumni of, alumnus of, attended, etc.

Answer: Maya Angelou attended George Washington High School (Wikidata: wd:Q5545977).

what high school did maya angelou go to?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] what high school did maya angelou go to?

[Assistant] Step 1: I'll find the Wikidata item for "Maya Angelou" to use in the query. I'll search the knowledge graph for the entity.

[Tool]
Top 10 entity alternatives:
1. Maya Angelou (wd:Q19526), also known as Marguerite Anne Johnson, Marguerite Annie Johnson, Marguerite Ann Johnson, Marguerite Johnson: American poet, author, and civil rights activist (1928–2014) / has occupation human rights activist / has occupation television producer / has occupation television actor / has occupation autobiographer / has occupation film director / has occupation film producer / has occupation Film producer / has occupation screenwriter / has occupation stage actor / has occupation songwriter / has occupation politician / has occupation journalist / has occupation playwright / has occupation professor / has occupation novelist / has occupation essayist / has occupation writer / has occupation dancer / has occupation singer / is instance of human / American poet
2. Maya Angelou (wd:Q108467711): magazine article from 'American Funeral Director' published in 2014 / is instance of article
3. Maya Angelou (wd:Q47513615): painting by Ross R. Rossin / is instance of painting
4. rue Maya Angelou (wd:Q125778051): is instance of street
5. Maya Angelou Birthplace (wd:Q132261323), also known as Birthplace of Maya Angelou: The house in St. Louis, Missouri where Maya Angelou was born / is instance of historic house
6. Maya Angelou Academy (wd:Q14692192): is instance of public school / is instance of state school / American alternative school / is instance of high school
7. Maya Angelou, 1928-2014 (wd:Q116228315): is instance of academic journal article / is instance of مقال  في مجلة اكاديمية / journal article
8. rue Maya Angelou (wd:Q110803924): is instance of street / street / street / street
9. Maya Angelou Library (wd:Q66364225): public library in Stockton, California, USA / public library in Stockton, California, USA / is instance of public library / is instance of library branch
10. Maya Angelou Northeast (wd:Q69781127): public library in Wichita, Kansas, USA / is instance of public library / is instance of library branch

[Assistant] Step 2: I'll search for properties of Maya Angelou related to education to identify how her high school is recorded. I'll search properties for "education" on her Wikidata item.

[Tool]
Top 10 property alternatives:
1. educated at (wd:P69 as p/wdt, matched via education), also known as alma mater, alumna of, alumni of, alumnus of, attended, etc.: educational institution attended by the subject / educational institution attended by the subject / educational institution attended by subject / is subproperty of affiliation
2. occupation (wd:P106 as p/wdt, matched via career), also known as avocation, career, craft, employ, employment, etc.: occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
3. field of work (wd:P101 as p/wdt, matched via discipline), also known as academic area, academic discipline, academic subject, activity, activity domain, etc.: specialisation of a person or organisation; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / is subproperty of interested in
4. ethnic group (wd:P172 as p/wdt, matched via culture), also known as (cultural) nationality, culture, ethnicity, ethnic or cultural origin, people, etc.: subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such) / subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such)
5. topic's main category (wd:P910 as p/wdt, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
6. award received (wd:P166 as p/wdt, matched via honors), also known as award, awarded, awards, awards received, award won, etc.: award or recognition received by a person, organisation or creative work / award or recognition received by a person, organization or creative work / award or recognition received by a person, organization or creative work / awards received by a person, organisation or creative work
7. country of citizenship (wd:P27 as p/wdt, matched via nation), also known as citizen of, citizenship, country, (legal) nationality, nation, etc.: the object is a country that recognizes the subject as its citizen / the object is a country that recognizes the subject as its citizen / is subproperty of country
8. notable work (wd:P800 as p/wdt, matched via work), also known as artwork, author of, bibliography, books by, creator of, etc.: notable scientific, artistic or literary work, or other work of significance among subject's works / notable scientific, artistic or literary work, or other work of significance among subject's works
9. described by source (wd:P1343 as p/wdt, matched via entry), also known as defined in, described by biography, described by encyclopedia, described by obituary, described by reference work, etc.: dictionary, encyclopaedia, etc. where this item is described / work where this item is described / is subproperty of attested in
10. work period (start) (wd:P2031 as p/wdt, matched via career began), also known as active since, career began, career start, date of activity (start), debut, etc.: start of period during which a person or group flourished (fl. = "floruit") in their professional activity / start of period during which a person or group flourished (fl. = "floruit") in their professional activity / is subproperty of start time / is subproperty of floruit

No other items found

[Assistant] Step 3: I'll query Maya Angelou's "educated at" (P69) statements to see which schools are listed.

[Tool]
Got 2 rows and 2 columns:
| school                                      | schoolLabel                        |
| ------------------------------------------- | ---------------------------------- |
| California Labor School (wd:Q16850567)      | California Labor School (en)       |
| George Washington High School (wd:Q5545977) | George Washington High School (en) |

[Assistant] I'll check which of the educational institutions Maya Angelou attended are instances of 'high school' so I can answer precisely. I'll search for the Wikidata item for 'high school' to use as a class.

[Tool]
Top 10 entity alternatives:
1. secondary school (wd:Q159334, matched via high school), also known as high school, secondary educational institution: building and organisation where secondary education is provided / organization where secondary education is provided / is instance of type of educational institution / is subclass of school
2. high school (wd:Q9826), also known as H.S., HS, senior high school, upper middle school, upper secondary school: institution which provides all or part of secondary education / institution which provides part of secondary education / is subclass of secondary school / is subclass of school
3. lycée (wd:Q2511322, matched via high school), also known as French lyceum, high school, lyceum in France: is instance of type of educational institution in France / part of the French education system / is subclass of secondary school / secondary education in France / Secondary education in France / is subclass of lyceum / is subclass of Lyceum
4. High School (wd:Q10295500): song by Nicki Minaj featuring Lil Wayne / is instance of single
5. Terza liceo (wd:Q3984898, matched via High School), also known as High School: 1954 film directed by Luciano Emmer / is instance of film
6. High School (wd:Q12124774): 2010 film by John Stalberg, Jr. / is instance of film
7. High School (wd:Q2680387): 1968 film by Frederick Wiseman / is instance of film
8. High school (wd:Q29679124), also known as Gymnasium, Gymnasium Münchenstein: school building in Münchenstein in the canton of Basel-Landschaft, Switzerland / is instance of Architectural structure / is instance of architectural structure / is instance of built structure / is instance of school building
9. High School (wd:Q3135385): 1940 film by George Nicholls, Jr. / is instance of film
10. High School (wd:Q114679794): 2022 coming-of-age comedy television series / is instance of television series / is instance of serial

[Assistant] Step 4: I'll verify the 'instance of' or 'subclass of' for George Washington High School and California Labor School to see which are high schools.

[Tool]
Got 3 rows and 4 columns:
| school                                      | schoolLabel                        | instanceOf                   | instanceOfLabel    |
| ------------------------------------------- | ---------------------------------- | ---------------------------- | ------------------ |
| George Washington High School (wd:Q5545977) | George Washington High School (en) | public school (wd:Q1080794)  | public school (en) |
| California Labor School (wd:Q16850567)      | California Labor School (en)       | Labor school (wd:Q131428622) | Labor school (en)  |
| George Washington High School (wd:Q5545977) | George Washington High School (en) | high school (wd:Q9826)       | high school (en)   |

[Assistant] I will run one final SPARQL query that selects the educational institutions (wdt:P69) of Maya Angelou (wd:Q19526) but restricts results to items that are instances (P31) or subclasses of "high school" (wd:Q9826). I will also request English labels as optional. This ensures the query returns only her high school(s). Now I'll execute that query.

[Tool]
Got 1 row and 2 columns:
| school                                      | schoolLabel                        |
| ------------------------------------------- | ---------------------------------- |
| George Washington High School (wd:Q5545977) | George Washington High School (en) |

[Assistant] Now I'll prepare the final answer: the SPARQL query and the result.

[Tool] Stopping


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 ?college ?collegeLabel WHERE {
  wd:Q7336 wdt:P69 ?college .
  OPTIONAL {
    ?college rdfs:label ?collegeLabel FILTER ( LANG( ?collegeLabel ) = "en" )
  }
}

Using entities:
Otto Heinrich Frank (wd:Q7336), also known as Otto H. Frank

Using properties:
educated at (wd:P69 as wdt), also known as alma mater, alumna of, alumni of, alumnus of, attended, etc.

Answer: Otto Heinrich Frank (wd:Q7336), the father of Anne Frank, attended Heidelberg University (wd:Q151510).

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] where did otto frank go to college?

[Assistant] I will first search Wikidata for the entity "Otto Frank" to identify the correct Q-item (there may be multiple people with that name). Then I'll inspect properties related to education to find his college. I'll run queries step by step, explaining each action.

[Tool]
Top 10 entity alternatives:
1. Frank Otto (wd:Q1443909): has occupation water polo player / German water polo player / is instance of human
2. Otto Frank (wd:Q89925), also known as Friedrich Wilhelm Ferdinand Otto Frank, Otto Friedrich Frank: has occupation university teacher / German physiologist (1865–1944) / has occupation cardiologist / has occupation physiologist / has occupation physician / is instance of human / German physiologist / German physiologist
3. Frank Otto (wd:Q1443902): has occupation film director / German media entrepreneur / has occupation geologist / has occupation director / has occupation overseer / is instance of human
4. Frank Otto (wd:Q16104521): American linguist (1936-2017) / has occupation linguist / is instance of human
5. Frank Otto (wd:Q1443905): has occupation historian of Modern Age / German historian of modern age / has occupation writer / is instance of human
6. Otto Frank (wd:Q36977791): German FDP politician (1900-1963) / has occupation politician / is instance of human
7. Otto Frank (wd:Q94791903): has occupation military officer / has occupation cartographer / has occupation officer / is instance of human
8. Otto Frank (wd:Q104548689): holocaust victim, b. 1902-01-24 / is instance of human
9. Otto Frank (wd:Q104548688): holocaust victim, b. 1875-06-25 / is instance of human
10. Otto Frank (wd:Q116960730): has occupation architect / has occupation Architect / is instance of human / Austrian architect

[Assistant] I'll search for "Otto Frank Anne" to find the Otto Frank who was Anne Frank's father.

[Tool]
Top 10 entity alternatives:
1. Anne Frank (wd:Q4583), also known as Anna Frank, Anna M Frank, Annelies Marie Frank, Anne Maries Frank, Anne M. Frank: German-born Dutch Jewish diarist and Holocaust victim (1929–1945) / has occupation diarist / has occupation writer / is instance of human
2. Diary of Anne Frank (wd:Q6911, matched via Anne Frank Diary), also known as Anne Frank Diary, Anne Frank's diary, Anne Frank's Diary, Diary of Anne Franke, Diary of a Young Girl, etc.: famous diary of a 13-year old Dutch Jewish girl hiding from the Nazis to escape the Holocaust / famous diary of a 13-year old Dutch Jewish girl hiding from the Nazis to escape the Holocaust / is instance of posthumous work / is instance of literary work / is instance of written work
3. Anne Frank House (wd:Q165366), also known as Anne Frank House (Amsterdam), Anne Frank House Amsterdam, Anne Frank House in Amsterdam, The Anne Frank House: museum in Amsterdam, Netherlands, dedicated to Jewish wartime diarist Anne Frank / is instance of cultural institution / is instance of war memorial / is instance of museum
4. Otto Heinrich Frank (wd:Q7336), also known as Otto H. Frank: Father of Holocaust diarist Anne Frank (1889–1980) / has occupation amateur photographer / has occupation businessperson / has occupation merchant / has occupation banker / is instance of human
5. Anne Frank Tree (wd:Q49057): horse-chestnut tree in the city center of Amsterdam that was featured in Anne Frank's The Diary of a Young Girl, Netherlands / is instance of remarkable tree / is instance of heritage tree
6. Anne Frank Remembered (wd:Q466765): 1995 television film directed by John Blair Jr. / is instance of Television film / is instance of television film
7. Anne Frank Zentrum (wd:Q565296), also known as Anne-Frank-Zentrum, Anne Frank Zentrum e.V.: is instance of Träger der politischen Bildung / is instance of non-governmental organization / is instance of non-governmental organisation / is instance of non-profit organisation / is instance of non-profit organization / is instance of charitable corporation / is instance of nonprofit organization / is instance of museum / museum
8. Frank Haubold (wd:Q5487155, matched via Frank Otto Haubold), also known as Frank Otto Haubold: has occupation artistic gymnast / is instance of human / Olympic gymnast
9. Frank Otto (wd:Q1443909): has occupation water polo player / German water polo player / is instance of human
10. Anne Frank House (wd:Q4452658), also known as Anne Frank Stichting: is instance of association / Dutch foundation

[Assistant] I'll look up which property indicates where Otto Heinrich Frank was educated for this Wikidata item (wd:Q7336). I'll search the properties of that entity for terms like "educat", "alma", or "studied".

[Tool]
Top 10 property alternatives:
1. educated at (wd:P69 as p/wdt, matched via education), also known as alma mater, alumna of, alumni of, alumnus of, attended, etc.: educational institution attended by the subject / educational institution attended by the subject / educational institution attended by subject / is subproperty of affiliation
2. described by source (wd:P1343 as p/wdt, matched via entry), also known as defined in, described by biography, described by encyclopedia, described by obituary, described by reference work, etc.: dictionary, encyclopaedia, etc. where this item is described / work where this item is described / is subproperty of attested in
3. birth name (wd:P1477 as p/wdt, matched via né), also known as birthname, bn, bname, born as, full birth name, etc.: full name of a person at birth, if different from their ... John Peter Doe for Joe Doe, Ann Smith for Ann Miller) / full name of a person at birth, if different from their current, generally used name / full name of a person at birth, if different from their current name / is subproperty of name
4. occupation (wd:P106 as p/wdt, matched via career), also known as avocation, career, craft, employ, employment, etc.: occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
5. instance of (wd:P31 as p/wdt, matched via is a), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
6. religion or worldview (wd:P140 as p/wdt, matched via devotee of), also known as belief system, believes, denomination, devotee of, faith, etc.: religion of a person, organisation or religious building, or associated with this subject / religion of a person, organisation or religious building, or associated with this subject / religion of a person, organization or religious building, or associated with this subject
7. place of detention (wd:P2632 as p/wdt, matched via gaoled in), also known as detained at, detention place, forced exile to, gaol, gaoled at, etc.: place where this person is or was detained / is subproperty of residence
8. number of children (wd:P1971 as p/wdt, matched via issue), also known as children, children (number), how many children, issue, kids, etc.: number of children of the person. Mainly in cases where the full list isn't or shouldn't be added in "child" (P40). / number of children of the person, animal, or character
9. child (wd:P40 as p/wdt, matched via issue), also known as children, daughter, daughters, descendants, father of, etc.: subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039) / subject has the object in their family as their offspring son or daughter (independently of their age) / subject has object as biological, foster, and/or adoptive child / is subproperty of significant person / is subproperty of relative
10. Commons category (wd:P373 as p/wdt, matched via category Commons), also known as category Commons, category on Commons, category on Wikimedia Commons, category Wikipedia Commons, commonscat, etc.: name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category")

No other items found

[Assistant] I'll retrieve the education (P69) values for Otto Heinrich Frank (wd:Q7336) to get his college.

[Tool]
Got 1 row and 2 columns:
| educ                               | educLabel                  |
| ---------------------------------- | -------------------------- |
| Heidelberg University (wd:Q151510) | Heidelberg University (en) |

[Assistant] I'll run a final SPARQL query to get the college (P69) for Otto Heinrich Frank (wd:Q7336). The query will return the college IRI and an optional English label.

[Tool]
Got 1 row and 2 columns:
| college                            | collegeLabel               |
| ---------------------------------- | -------------------------- |
| Heidelberg University (wd:Q151510) | Heidelberg University (en) |

[Assistant] I'll now provide the final answer including the SPARQL query I executed and the result.

[Tool] Stopping


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 ?institution ?institutionLabel WHERE {
  wd:Q52651 wdt:P69 ?institution .
  OPTIONAL {
    ?institution rdfs:label ?institutionLabel .
    FILTER ( LANG( ?institutionLabel ) = "en" )
  }
}
ORDER BY ?institutionLabel

Using entities:
Jesse Owens (wd:Q52651), also known as James Cleveland "Jesse" Owens, James Cleveland Owens

Using properties:
educated at (wd:P69 as wdt), also known as alma mater, alumna of, alumni of, alumnus of, attended, etc.

Got 3 rows and 2 columns:
| institution                              | institutionLabel                |
| ---------------------------------------- | ------------------------------- |
| East Technical High School (wd:Q5329490) | East Technical High School (en) |
| North Platte High School (wd:Q7056353)   | North Platte High School (en)   |
| Ohio State University (wd:Q309331)       | Ohio State University (en)      |

Answer:
Jesse Owens (wd:Q52651) was educated at:
- East Technical High School (wd:Q5329490)
- North Platte High School (wd:Q7056353)
- Ohio State University (wd:Q309331)

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] what was jesse owens education?

[Assistant] I will first search Wikidata for the Jesse Owens entity to identify its Q-number. Then I'll look for properties related to education (e.g., educated at P69) for that entity. I'll run a search for the entity now.

[Tool]
Top 10 entity alternatives:
1. Jesse Owens (wd:Q52651), also known as James Cleveland "Jesse" Owens, James Cleveland Owens: American track and field athlete (1913–1980) / has occupation athletics competitor / has occupation long jumper / has occupation sprinter / is instance of human
2. Jesse Owens (wd:Q6186721): is instance of film / 2012 film
3. Jesse Owens Award (wd:Q3540423): awards given out by USA Track and Field / is instance of award
4. Jesse Hickman (wd:Q6186412, matched via Jesse Owens Hickman), also known as Jesse Owens Hickman: has occupation baseball player / American baseball player / is instance of human
5. The Jesse Owens Story (wd:Q7743138, matched via Jesse Owens Story), also known as Jesse Owens Story, Jessie Owens Story: is instance of television film / is instance of Television film / 1984 television film
6. rue Jesse Owens (wd:Q100740397): street in Saint-Denis, Seine-Saint-Denis, France / is instance of street
7. Jesse Owens Park (wd:Q49507611): park in Pima County, Arizona, United States of America / is instance of park
8. Jesse Owens Park (wd:Q49507612): park in Los Angeles County, California, United States of America / is instance of park
9. Jesse Owens Playground (wd:Q49507615): park in Kings County, New York, United States of America / is instance of park
10. Jesse Owens Plaza (wd:Q49507617): park in Franklin County, Ohio, United States of America / is instance of park

[Assistant] Next I'll search for properties related to education for the Jesse Owens entity to find the right property (likely "educated at" P69 or "academic degree" P512). I'll query property suggestions for this entity.

[Tool]
Top 10 property alternatives:
1. educated at (wd:P69 as p/wdt), also known as alma mater, alumna of, alumni of, alumnus of, attended, etc.: educational institution attended by the subject / educational institution attended by the subject / educational institution attended by subject / is subproperty of affiliation
2. occupation (wd:P106 as p/wdt, matched via profession), also known as avocation, career, craft, employ, employment, etc.: occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
3. award received (wd:P166 as p/wdt, matched via honors), also known as award, awarded, awards, awards received, award won, etc.: award or recognition received by a person, organisation or creative work / award or recognition received by a person, organization or creative work / award or recognition received by a person, organization or creative work / awards received by a person, organisation or creative work
4. participant in (wd:P1344 as p/wdt, matched via attended), also known as attended, competed in, competes in, participant of, participant of event, etc.: event in which a person or organisation was/is a participant; inverse of P710 or P1923 / event in which a person or organization was/is a participant; inverse of P710 or P1923 / is subproperty of significant event / is subproperty of part of
5. height (wd:P2048 as p/wdt), also known as depth over terrain, heighth, size, P2048: vertical dimension of an entity / vertical length of an entity / is subproperty of length
6. described by source (wd:P1343 as p/wdt, matched via entry), also known as defined in, described by biography, described by encyclopedia, described by obituary, described by reference work, etc.: dictionary, encyclopaedia, etc. where this item is described / work where this item is described / is subproperty of attested in
7. topic's main category (wd:P910 as p/wdt, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
8. date of birth (wd:P569 as p/wdt, matched via DOB), also known as birth date, birthdate, birth year, birthyear, born, etc.: is subproperty of date of foundation or creation / date on which the subject was born / date on which the subject was born / date on which the subject was born / is subproperty of inception
9. spouse (wd:P26 as p/wdt, matched via married), also known as common-law husband, common-law spouse, common-law wife, husband, husbands, etc.: the subject has the object as their spouse (husband, wife, ... Use "unmarried partner" (P451) for non-married companions / the subject has the object as their spouse (husband, wife, ... Use "unmarried partner" (P451) for non-married companions / the subject has the object as their spouse (husband, wife, ... Use "unmarried partner" (P451) for non-married companions / is subproperty of significant person / is subproperty of relative
10. ethnic group (wd:P172 as p/wdt, matched via people), also known as (cultural) nationality, culture, ethnicity, ethnic or cultural origin, people, etc.: subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such) / subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such)

No other items found

[Assistant] I'll retrieve the "educated at" (P69) values for Jesse Owens (wd:Q52651) from Wikidata to identify the specific institutions he attended. I'll list triples with Jesse Owens as subject and property P69.

[Tool]
Got 3 rows and 3 columns:
| subject                 | property              | object                                   |
| ----------------------- | --------------------- | ---------------------------------------- |
| Jesse Owens (wd:Q52651) | educated at (wdt:P69) | Ohio State University (wd:Q309331)       |
| Jesse Owens (wd:Q52651) | educated at (wdt:P69) | East Technical High School (wd:Q5329490) |
| Jesse Owens (wd:Q52651) | educated at (wdt:P69) | North Platte High School (wd:Q7056353)   |

[Assistant] I'll run a final SPARQL query that retrieves all items linked with Jesse Owens (wd:Q52651) via the "educated at" property (wdt:P69), and also fetch their English labels. I will execute the query now.

[Tool]
Got 3 rows and 2 columns:
| institution                              | institutionLabel                |
| ---------------------------------------- | ------------------------------- |
| East Technical High School (wd:Q5329490) | East Technical High School (en) |
| North Platte High School (wd:Q7056353)   | North Platte High School (en)   |
| Ohio State University (wd:Q309331)       | Ohio State University (en)      |

[Assistant] I'll now return the final SPARQL query and the answer based on the query results.

[Tool] Stopping