PREFIX dbr: <http://dbpedia.org/resource/>
PREFIX dbo: <http://dbpedia.org/ontology/>
SELECT ?item WHERE {
  ?item dbo:developer dbr:John_Fanning
}

The DBpedia knowledge graph does not contain a specific entity for John Fanning (the Napster co-founder) or any other specific John Fanning with structured data about what they have developed. The main entity found is a disambiguation page, which does not have properties linking to works, inventions, or projects developed by any John Fanning. Therefore, it is not possible to construct a SPARQL query that answers the question using DBpedia.

[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:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 has been developed by John Fanning?

[Assistant]
Let's break down the question:

1. The main entity is "John Fanning".
2. The question asks for things that have been "developed by" John Fanning. This likely refers to works, inventions, or projects where he is the developer or creator.

First, I will search for "John Fanning" in DBpedia to identify the correct entity.

[Tool]
Top 10 entity alternatives:
1. John Fanning (dbr:John_Fanning)
2. Fanning, John (<http://dbpedia.org/resource/Fanning,_John>)
3. John H. Fanning (dbr:John_H._Fanning): John Harold Fanning (September 19, 1916 — July 21, 1990) was an ...(from 1957 to 1982). He was the Board's Chair from 1977 to 1981.
4. John Pat Fanning (dbr:John_Pat_Fanning): John Pat Fanning was a Democratic member of the West Virginia Se...ion into corruption in Mingo County, part of Fanning's district.
5. John Fanning Watson (dbr:John_Fanning_Watson): John Fanning Watson (June 13, 1779 - December 23, 1860) was a Ph... in 1830, with expanded editions in 1844 (two volumes) and 1857.
6. John T. Fanning (dbr:John_T._Fanning): John Thomas Fanning (1837–1911) was an American architect and hy...calculate the frictional pressures losses in flows inside pipes.
7. John Fanning (footballer) (<http://dbpedia.org/resource/John_Fanning_(footballer)>): John Fanning (born 5 September 1948) is a former Australian rule...19s best and fairest in 1967 and a reserves premiership in 1968.
8. John Fanning (writer) (<http://dbpedia.org/resource/John_Fanning_(writer)>): John Fanning (born 3 April 1973) is an Irish novelist and writer.
9. John Fanning (disambiguation) (<http://dbpedia.org/resource/John_Fanning_(disambiguation)>)
10. John Thomas Fanning (dbr:John_Thomas_Fanning)

[Assistant]
The most likely intended entity is dbr:John_Fanning. Now, I need to find properties in DBpedia that relate to things "developed by" a person. Common properties for this could be dbo:developer, dbo:author, dbo:creator, etc.

I'll search for properties related to "developed by" to see which ones are most relevant.

[Tool]
Top 10 property alternatives:
1. developed by (dbp:developedBy)
2. developed at (dbp:developedAt)
3. developed from (dbp:developedFrom)
4. developed (dbp:developed)
5. developer (dbo:developer): Developer of a Work (Artwork, Book, Software) or Building (Hotel, Skyscraper), agent
6. developer (dbp:developer)
7. development of (dbp:developmentOf)
8. developers (dbp:developers)
9. created by (dbp:createdBy)
10. development (dbp:development)

[Assistant]
The most relevant properties for "developed by" are:
- dbp:developedBy
- dbo:developer
- dbp:developer

I will check if any entities have these properties pointing to dbr:John_Fanning. I'll start by checking dbo:developer.

[Tool] Got no rows and 3 columns

[Assistant] There are no entities in DBpedia that use dbo:developer with dbr:John_Fanning as the object. Next, I will try dbp:developedBy.

[Tool] Got no rows and 3 columns

[Assistant] There are no entities in DBpedia that use dbp:developedBy with dbr:John_Fanning as the object. Next, I will try dbp:developer.

[Tool] Got no rows and 3 columns

[Assistant]
There are no entities in DBpedia that use dbp:developer with dbr:John_Fanning as the object. Since "developed by" is not yielding results, I will broaden the search to see if there are any works, inventions, or projects associated with John Fanning using other properties like dbo:author, dbo:creator, or dbp:createdBy.

I'll start by searching for properties related to "author" for dbr:John_Fanning.

[Tool]
No property items found

No other items found

[Assistant] There are no properties related to "author" for dbr:John_Fanning. Next, I will try searching for properties related to "creator" for dbr:John_Fanning.

[Tool]
No property items found

No other items found

[Assistant]
There are no properties related to "creator" for dbr:John_Fanning either. Since the direct approach is not yielding results, I will check what type of entity dbr:John_Fanning is and see if there are any hints about his works or developments in his direct properties.

I'll list all properties for dbr:John_Fanning.

[Tool]
Got 30 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                                                   | object                                                                              |
| ------------------------------- | ---------------------------------------------------------- | ----------------------------------------------------------------------------------- |
| John Fanning (dbr:John_Fanning) | Wikipage page ID (dbo:wikiPageID)                          | 20792497 (xsd:int)                                                                  |
| John Fanning (dbr:John_Fanning) | Wikipage revision ID (dbo:wikiPageRevisionID)              | 914896241 (xsd:int)                                                                 |
| John Fanning (dbr:John_Fanning) | page length (characters) of wiki page (dbo:wikiPageLength) | 612 (xsd:int)                                                                       |
| John Fanning (dbr:John_Fanning) | Wikipage disambiguates (dbo:wikiPageDisambiguates)         | John Fanning (footballer) (<http://dbpedia.org/resource/John_Fanning_(footballer)>) |
| John Fanning (dbr:John_Fanning) | dbp:wikiPageUsesTemplate                                   | <http://dbpedia.org/resource/Template:Hndis>                                        |
| John Fanning (dbr:John_Fanning) | rdf:type                                                   | <http://dbpedia.org/class/yago/CausalAgent100007347>                                |
| John Fanning (dbr:John_Fanning) | rdfs:label                                                 | John Fanning (en)                                                                   |
| John Fanning (dbr:John_Fanning) | owl:sameAs                                                 | <http://www.wikidata.org/entity/Q6232707>                                           |
| John Fanning (dbr:John_Fanning) | prov:wasDerivedFrom                                        | <http://en.wikipedia.org/wiki/John_Fanning?oldid=914896241&ns=0>                    |
| John Fanning (dbr:John_Fanning) | foaf:isPrimaryTopicOf                                      | <http://en.wikipedia.org/wiki/John_Fanning>                                         |
| ...                             | ...                                                        | ...                                                                                |

[Assistant]
The properties for dbr:John_Fanning do not indicate any works, inventions, or projects developed by him. The entity appears to be a disambiguation page, which means it is not a specific individual but rather a page that points to multiple people named John Fanning.

Given this, I should check the specific John Fanning you are referring to. For example, John Fanning (the Napster co-founder) is a notable developer. Let me check if there is a DBpedia entry for "John Fanning Napster" or similar.

[Tool]
Top 10 entity alternatives:
1. John Fanning (dbr:John_Fanning)
2. Fanning, John (<http://dbpedia.org/resource/Fanning,_John>)
3. John H. Fanning (dbr:John_H._Fanning): John Harold Fanning (September 19, 1916 — July 21, 1990) was an ...(from 1957 to 1982). He was the Board's Chair from 1977 to 1981.
4. John Pat Fanning (dbr:John_Pat_Fanning): John Pat Fanning was a Democratic member of the West Virginia Se...ion into corruption in Mingo County, part of Fanning's district.
5. John Fanning Watson (dbr:John_Fanning_Watson): John Fanning Watson (June 13, 1779 - December 23, 1860) was a Ph... in 1830, with expanded editions in 1844 (two volumes) and 1857.
6. John T. Fanning (dbr:John_T._Fanning): John Thomas Fanning (1837–1911) was an American architect and hy...calculate the frictional pressures losses in flows inside pipes.
7. John Fanning (footballer) (<http://dbpedia.org/resource/John_Fanning_(footballer)>): John Fanning (born 5 September 1948) is a former Australian rule...19s best and fairest in 1967 and a reserves premiership in 1968.
8. John Fanning (writer) (<http://dbpedia.org/resource/John_Fanning_(writer)>): John Fanning (born 3 April 1973) is an Irish novelist and writer.
9. John Fanning (disambiguation) (<http://dbpedia.org/resource/John_Fanning_(disambiguation)>)
10. John Thomas Fanning (dbr:John_Thomas_Fanning)

[Assistant]
There is no specific DBpedia entity for "John Fanning" the Napster co-founder. The main entry, dbr:John_Fanning, is a disambiguation page and does not represent a specific person. Therefore, DBpedia does not contain structured data about what has been developed by John Fanning (the Napster co-founder) or any other specific John Fanning.

Given this, I cannot provide a SPARQL query that answers your question based on the available data in DBpedia.

I will now cancel and explain the situation.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The explanation is correct: DBpedia does not contain structured data linking John Fanning to any developed works, and the only entity found is a disambiguation page. The attempted SPARQL query is reasonable, but since there are no results and no relevant data, the system's failure explanation is accurate and complete.


PREFIX dbr: <http://dbpedia.org/resource/>
PREFIX dbo: <http://dbpedia.org/ontology/>
ASK {
  dbr:Toronto_Maple_Leafs dbo:coach dbr:Mike_Babcock
}

No, Mike Babcock is not the head coach of the Toronto Maple Leafs according to DBpedia.

[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:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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] Is Mike Babcock the head coach of Toronto Maple Leafs?

[Assistant]
Let's break down the question:

1. We need to identify the entities "Mike Babcock" and "Toronto Maple Leafs" in DBpedia.
2. We need to check if Mike Babcock is (or was) the head coach of the Toronto Maple Leafs.
3. This is a True/False question, so the final SPARQL query should be an ASK query.

First, I'll search for the entity "Mike Babcock" in DBpedia.

[Tool]
Top 10 entity alternatives:
1. Mike Babcock (dbr:Mike_Babcock): Michael Babcock Jr. (born April 29, 1963) is a Canadian professi...ty Ducks of Anaheim, whom he led to the 2003 Stanley Cup Finals.
2. Michael Corleone, also known as Mike, Michele, College Boy (Sonny occasionally refers to Michael as College Boy), Mikey, The Don (dbr:Michael_Corleone): Michael Corleone is a fictional character and the main protagoni...f Vito Corleone, a Sicilian immigrant who builds a Mafia empire.
3. D'Angelo, also known as Mike, D ("Dee") (<http://dbpedia.org/resource/D'Angelo>)
4. Michael Boorda, also known as Mike (dbr:Michael_Boorda): Jeremy Michael Boorda (November 26, 1939 – May 16, 1996) was a U...s Navy admiral who served as the 25th Chief of Naval Operations.
5. Ernest J. Dawley, also known as "Mike" (dbr:Ernest_J._Dawley): Major General Ernest Joseph "Mike" Dawley (February 17, 1886 – D... commander of the Fifth Army, and returned to the United States.
6. Gilmary M. Hostage III, also known as Mike (dbr:Gilmary_M._Hostage_III): Gilmary Michael "Mike" Hostage III (born April 29, 1955) is a re...a. He retired from the Air Force after over 37 years of service.
7. Michael Elgin, also known as Michael Elgin, Mike (dbr:Michael_Elgin): Aaron Frobel (born (1986-12-13)December 13, 1986) is a Canadian ...inental and a one-time NEVER Openweight 6-Man Tag Team Champion.
8. Mihiel Gilormini, also known as "Mike" (dbr:Mihiel_Gilormini): Brigadier General Mihiel "Mike" Gilormini Pacheco (August 3, 191... He was also a co-founder of the Puerto Rico Air National Guard.
9. Michael P. Ryan (USMC), also known as "Mike" (<http://dbpedia.org/resource/Michael_P._Ryan_(USMC)>): Michael Patrick Ryan (January 30, 1916 – January 9, 2005) was a ...director of Marine Corps Reserve. Together with Colonel James L.
10. James M. Holmes, also known as Mike (dbr:James_M._Holmes): James Michael Holmes (born April 12, 1957) is a retired United S...succeeded by Mark D. Kelly and retired effective 1 October 2020.

[Assistant]
The top result for "Mike Babcock" is dbr:Mike_Babcock, which matches the Canadian professional ice hockey coach.

Next, I'll search for the entity "Toronto Maple Leafs" in DBpedia.

[Tool]
Top 10 entity alternatives:
1. Toronto Maple Leafs (dbr:Toronto_Maple_Leafs): The Toronto Maple Leafs (officially the Toronto Maple Leaf Hocke...ing rights are split between BCE Inc. and Rogers Communications.
2. Toronto Maple Leafs (<http://dbpedia.org/resource/Category:Toronto_Maple_Leafs>)
3. Toronto maple leafs (dbr:Toronto_maple_leafs)
4. Maple Leafs, Toronto (<http://dbpedia.org/resource/Maple_Leafs,_Toronto>)
5. Toronto Maple Leafs (NLA) (<http://dbpedia.org/resource/Toronto_Maple_Leafs_(NLA)>): The Toronto Maple Leafs were a professional box lacrosse team in... club, but financial difficulties forced Maple Leaf Gardens Ltd.
6. Toronto Maple Leafs (disambiguation) (<http://dbpedia.org/resource/Toronto_Maple_Leafs_(disambiguation)>)
7. Toronto Maple Leafs players (<http://dbpedia.org/resource/Category:Toronto_Maple_Leafs_players>)
8. 1985-86 Toronto Maple Leafs (dbr:1985-86_Toronto_Maple_Leafs)
9. 1957-58 Toronto Maple Leafs (dbr:1957-58_Toronto_Maple_Leafs)
10. 1986-87 Toronto Maple Leafs (dbr:1986-87_Toronto_Maple_Leafs)

[Assistant]
The top result for "Toronto Maple Leafs" is dbr:Toronto_Maple_Leafs, which is the correct entity for the NHL team.

Now, I need to determine the property in DBpedia that links a coach to a team, specifically as "head coach." I'll search for properties related to "coach" to find the most appropriate one.

[Tool]
Top 10 property alternatives:
1. coach. (dbp:coach.)
2. coach (dbo:coach): person
3. coach (dbp:coach)
4. coach for (dbp:coachFor)
5. coach’s (<http://dbpedia.org/property/coach’s>)
6. Coach of (dbp:coachOf)
7. coaches (dbp:coaches)
8. def coach (dbp:defCoach)
9. coach sport (dbp:coachSport)
10. assisant coach (dbp:assisantCoach)

[Assistant]
The most relevant properties appear to be dbo:coach and dbp:coachOf. Since dbo:coach is an ontology property and likely more standardized, I'll check if Mike Babcock (dbr:Mike_Babcock) is listed as a coach of the Toronto Maple Leafs (dbr:Toronto_Maple_Leafs) using this property.

I'll construct an ASK query to check if dbr:Mike_Babcock is the coach of dbr:Toronto_Maple_Leafs using dbo:coach.

[Tool] False

[Assistant]
The ASK query returned False, which means that, according to DBpedia, Mike Babcock is not currently listed as the head coach of the Toronto Maple Leafs.

Here is the SPARQL query used:

ASK { dbr:Toronto_Maple_Leafs dbo:coach dbr:Mike_Babcock }

Final answer: No, Mike Babcock is not the head coach of the Toronto Maple Leafs according to DBpedia.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The ASK query correctly checks whether Mike Babcock (dbr:Mike_Babcock) is currently listed as the coach (dbo:coach) of the Toronto Maple Leafs (dbr:Toronto_Maple_Leafs) in DBpedia. The answer is based solely on the SPARQL query result, and the query structure is appropriate for a True/False question. No further refinement is needed.


PREFIX dbr: <http://dbpedia.org/resource/>
PREFIX dbo: <http://dbpedia.org/ontology/>
ASK WHERE {
  dbr:Paris dbo:mayor dbr:Anne_Hidalgo
}

Yes, Anne Hidalgo is the mayor of Paris according to DBpedia.

[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:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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] Is Anne Hidalgo the mayor of Paris?

[Assistant]
Let's break down the question:

1. The entities involved are "Anne Hidalgo" and "Paris".
2. The property of interest is whether Anne Hidalgo is the mayor of Paris.

First, I will search for the entity "Anne Hidalgo" in DBpedia to get her IRI.

[Tool]
Top 10 entity alternatives:
1. Anne Hidalgo (dbr:Anne_Hidalgo): Ana María "Anne" Hidalgo Aleu (French pronunciation: [an idalɡo... in 2014 after Delanoë announced he would not seek a third term.
2. @Anne Hidalgo (<http://dbpedia.org/resource/@Anne_Hidalgo>)
3. Anne (dbr:Anne)
4. James Kempt, also known as Anne (dbr:James_Kempt)
5. Anne Curtis, also known as Anne (dbr:Anne_Curtis): Anne Curtis (born 17 February 1985) is a Filipino-Australian act...edding (2009), Green Rose (2011) and Kailangan Ko'y Ikaw (2013).
6. Hidalgo (dbr:Hidalgo)
7. Anne+ (<http://dbpedia.org/resource/Anne+>): Anne+ is a 2018 Dutch drama television series that premiered on ...scheroux, and Hanna van Vliet, and produced by Millstreet Films.
8. ANNE+ (<http://dbpedia.org/resource/ANNE+>)
9. Hidalgo (<http://dbpedia.org/resource/Category:Hidalgo>)
10. Anne Frank (dbr:Anne_Frank)

[Assistant]
The correct entity for Anne Hidalgo is dbr:Anne_Hidalgo.

Next, I will search for the entity "Paris" in DBpedia to get its IRI.

[Tool]
Top 10 entity alternatives:
1. Paris (dbr:Paris): Paris (French pronunciation: [paʁi] (listen)) is the capital an...nce, diplomacy, commerce, fashion, gastronomy, science and arts.
2. Poison (band), also known as Paris (<http://dbpedia.org/resource/Poison_(band)>)
3. Paris Paris (dbr:Paris_Paris): Paris Paris is an upcoming Indian Tamil-language comedy-drama fi...rs entered talks to release the film through Amazon Prime Video.
4. Pategi, also known as Paris (dbr:Pategi): Pategi or Patigi is a town and Local government in Kwara State, ... dialect. They are farmers, aquatic sellers/fishers and traders.
5. .paris (dbr:.paris): .paris is a top-level domain for the city of Paris, France. It w.... It became accessible to the general public on 2 December 2014.
6. Tony Rivera, also known as Renegado, Tony Rivera, Paris (dbr:Tony_Rivera): Javier Espinosa Romero (born December 30, 1973) is a Mexican luc...t circuit portraying a tecnico ("Good guy") wrestling character.
7. Paris, Paris (<http://dbpedia.org/resource/Paris,_Paris>)
8. Paris (<http://dbpedia.org/resource/Category:Paris>)
9. Paris Parisians (dbr:Paris_Parisians)
10. Paris Parisites (dbr:Paris_Parisites)

[Assistant]
The correct entity for Paris is dbr:Paris.

Now, I need to determine the property that links a person to their position as mayor of a city. I will search for properties related to "mayor" in DBpedia.

[Tool]
Top 10 property alternatives:
1. mayor (dbo:mayor): mayor
2. mayor (dbp:mayor)
3. city mayor (dbp:cityMayor)
4. government mayor (dbp:governmentMayor)
5. image mayor (dbp:imageMayor)
6. mayor name (dbp:mayorName)
7. mayor asof (dbp:mayorAsof)
8. mayor as of (dbp:mayorAsOf)
9. mayor title (dbp:mayorTitle)
10. mayor office (dbp:mayorOffice)

[Assistant]
The most relevant properties are dbo:mayor and dbp:mayor. Since dbo:mayor is the ontology property, it is likely the most standard.

To answer the question, I will check if Anne Hidalgo (dbr:Anne_Hidalgo) is the value of the dbo:mayor property for Paris (dbr:Paris) using an ASK query.

[Tool] True

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct for a True/False question and uses an ASK query as required. It directly checks if Anne Hidalgo (dbr:Anne_Hidalgo) is the mayor (dbo:mayor) of Paris (dbr:Paris). The answer and explanation are accurate and complete. No further refinement is needed.


PREFIX dbp: <http://dbpedia.org/property/>
SELECT ?localAuthority WHERE {
  <http://dbpedia.org/resource/Trinity_School,_Brentwood> dbp:localAuthority ?localAuthority .
}

Got 1 row and 1 column:
| localAuthority |
| -------------- |
| Essex (en)     |

The local authority of Trinity School, Brentwood is Essex.

[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:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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] Name the local authority of Trinity School, Brentwood?

[Assistant]
Let's break down the question:

1. The main entity is "Trinity School, Brentwood".
2. The property of interest is the "local authority" of this school.

First, I will search for the entity "Trinity School, Brentwood" in DBpedia to find its IRI.

[Tool]
Top 10 entity alternatives:
1. Trinity School, Brentwood (<http://dbpedia.org/resource/Trinity_School,_Brentwood>): Trinity School (formerly Peniel Academy) was an independent scho...was closely linked to Trinity Church. The school closed in 2018.
2. Trinity School (Brentwood) (<http://dbpedia.org/resource/Trinity_School_(Brentwood)>)
3. Trinity School (dbr:Trinity_School)
4. Brentwood School (dbr:Brentwood_School)
5. Brentwood School (Brentwood) (<http://dbpedia.org/resource/Brentwood_School_(Brentwood)>)
6. Brentwood School, Essex (<http://dbpedia.org/resource/Brentwood_School,_Essex>)
7. Trinity College School (dbr:Trinity_College_School): Trinity College School (TCS) is a co-educational, independent bo...es nine to twelve, and a Junior School for grades five to eight.
8. Trinity School, Belvedere (<http://dbpedia.org/resource/Trinity_School,_Belvedere>): Trinity School is a Church of England Secondary Academy located ...a mixed non-selective school located within a selective borough.
9. Brentwood College School (dbr:Brentwood_College_School): Brentwood College School is a co-educational boarding school tha...cated on Vancouver Island in Mill Bay, British Columbia, Canada.
10. Trinity School, Nottingham (<http://dbpedia.org/resource/Trinity_School,_Nottingham>): The Trinity School in Nottingham, England is a Catholic secondar...education within a happy and distinctively Catholic atmosphere'.

[Assistant]
The top result for "Trinity School, Brentwood" is:
- Trinity School, Brentwood (<http://dbpedia.org/resource/Trinity_School,_Brentwood>)

Now, I need to find the property in DBpedia that represents the "local authority" of a school. I will search for properties related to "local authority".

[Tool]
Top 10 property alternatives:
1. local authority (dbo:localAuthority)
2. local authority (dbp:localAuthority)
3. local council (dbp:localCouncil)
4. Local Government (dbp:localGovernment)
5. Local governance (dbp:localGovernance)
6. association of local government (dbo:associationOfLocalGovernment): populated place, settlement
7. local council label (dbp:localCouncilLabel)
8. local government Area type (dbp:localGovernmentAreaType)
9. unitary council (dbp:unitaryCouncil)
10. area municipality (dbp:areaMunicipality)

[Assistant]
The most relevant properties for "local authority" are:
- dbo:localAuthority
- dbp:localAuthority

Now, I will check which of these properties (if any) are used for "Trinity School, Brentwood" by listing its properties.

[Tool]
Got 80 rows and 3 columns, showing the first 10 rows below:
| subject                                                                             | property                                                            | object                                                                   |
| ----------------------------------------------------------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Trinity School, Brentwood (<http://dbpedia.org/resource/Trinity_School,_Brentwood>) | has abstract (dbo:abstract)                                         | Trinity School (formerly Peniel ...urch. The school closed in 2018. (en) |
| Trinity School, Brentwood (<http://dbpedia.org/resource/Trinity_School,_Brentwood>) | Wikipage page ID (dbo:wikiPageID)                                   | 23218913 (xsd:int)                                                       |
| Trinity School, Brentwood (<http://dbpedia.org/resource/Trinity_School,_Brentwood>) | Wikipage revision ID (dbo:wikiPageRevisionID)                       | 1081904305 (xsd:int)                                                     |
| Trinity School, Brentwood (<http://dbpedia.org/resource/Trinity_School,_Brentwood>) | page length (characters) of wiki page (dbo:wikiPageLength)          | 1832 (xsd:int)                                                           |
| Trinity School, Brentwood (<http://dbpedia.org/resource/Trinity_School,_Brentwood>) | Link from a Wikipage to an external page (dbo:wikiPageExternalLink) | <http://www.trinityschool.ac>                                            |
| Trinity School, Brentwood (<http://dbpedia.org/resource/Trinity_School,_Brentwood>) | name (dbp:name)                                                     | Trinity School (en)                                                      |
| Trinity School, Brentwood (<http://dbpedia.org/resource/Trinity_School,_Brentwood>) | type (dbp:type)                                                     | Independent School (en)                                                  |
| Trinity School, Brentwood (<http://dbpedia.org/resource/Trinity_School,_Brentwood>) | country (dbo:country)                                               | England (dbr:England)                                                    |
| Trinity School, Brentwood (<http://dbpedia.org/resource/Trinity_School,_Brentwood>) | country (dbp:country)                                               | England (en)                                                             |
| Trinity School, Brentwood (<http://dbpedia.org/resource/Trinity_School,_Brentwood>) | type (dbo:type)                                                     | Independent school (dbr:Independent_school)                              |
| ...                                                                                | ...                                                                 | ...                                                                      |

[Assistant]
From the listed properties for "Trinity School, Brentwood", there is no immediate evidence of a "local authority" property (dbo:localAuthority or dbp:localAuthority) being used.

To be thorough, I will directly check if either dbo:localAuthority or dbp:localAuthority is present for this entity.

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 3 columns:
| subject                                                                             | property                             | object     |
| ----------------------------------------------------------------------------------- | ------------------------------------ | ---------- |
| Trinity School, Brentwood (<http://dbpedia.org/resource/Trinity_School,_Brentwood>) | local authority (dbp:localAuthority) | Essex (en) |

[Tool]
Top 10 entity alternatives:
1. Essex (dbr:Essex): Essex is a county in the East of England, north-east of London. ...ons of the extent of Essex, the widest being the ancient county.
2. Essex (<http://dbpedia.org/resource/Category:Essex>)
3. Essex, Ontario (<http://dbpedia.org/resource/Essex,_Ontario>): Essex is a town with a population of 20,427 in Essex County in s... mayor is Larry Snively. It is the county seat for Essex County.
4. Essex, Connecticut (<http://dbpedia.org/resource/Essex,_Connecticut>)
5. Essex, Vermont (<http://dbpedia.org/resource/Essex,_Vermont>)
6. Essex Rebels (dbr:Essex_Rebels): The Essex Rebels are a basketball club from Colchester, Essex. T...ofessional ranks of the WBBL at the start of the 2018-19 season.
7. Epping, Essex (<http://dbpedia.org/resource/Epping,_Essex>): Epping is a market town and civil parish in the Epping Forest di...gs. The weekly market, which dates to 1253, is held each Monday.
8. Brentwood, Essex (<http://dbpedia.org/resource/Brentwood,_Essex>): Brentwood is a town in the Borough of Brentwood, in the county o...d is a suburban town with a small shopping area and high street.
9. Essex, Illinois (<http://dbpedia.org/resource/Essex,_Illinois>)
10. Essex, Massachusetts (<http://dbpedia.org/resource/Essex,_Massachusetts>): Essex is a coastal town in Essex County, Massachusetts, 26 miles...ex and South Essex make up the census-designated place of Essex.

[Assistant]
The value for the "local authority" property is "Essex", which corresponds to the entity Essex (dbr:Essex): a county in the East of England.

Now, I will construct the final SPARQL query to return the local authority (as an IRI) for Trinity School, Brentwood, and optionally its label.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query failed to execute due to a syntax error, likely caused by the comma in the entity name 'Trinity_School,_Brentwood'. In DBpedia, IRIs should not contain commas or spaces; they are typically replaced with underscores or omitted. The correct IRI should be checked (likely dbr:Trinity_School,_Brentwood or dbr:Trinity_School_Brentwood). Additionally, the system should verify that the property 'dbp:localAuthority' exists for this entity in DBpedia. Please correct the entity IRI and ensure the property is present, then retry the query.

[Assistant]
Thank you for the feedback. The correct IRI for the entity is dbr:Trinity_School,_Brentwood (with the comma, as confirmed by the search results). The property dbp:localAuthority is present for this entity and its value is "Essex".

However, the value "Essex" is a literal, not an IRI, in the data for this property. Therefore, the query should return the literal value and optionally match it to the IRI for Essex if possible.

I will write a query that retrieves the literal value for dbp:localAuthority and attempts to match it to the dbr:Essex entity for completeness.

[Tool]
Failed to call function execute:
failed to parse input: no matching token found from position 78: '_Brentwood dbp:localAuthority ?localAuthority .
  OPTIONAL {
    ?localAuthorityIRI rdfs:label ?label .
    FILTER (lang(?label) = 'en')
    FILTER (lcase(str(?label)) = lcase(str(?localAuthority)))
  }
}'

[Assistant]
It seems there is a parsing issue, likely due to the comma in the IRI. Let me verify the correct IRI for "Trinity School, Brentwood" by checking the search results and try using angle brackets to ensure proper IRI syntax.

From the earlier search, the IRI is:
<http://dbpedia.org/resource/Trinity_School,_Brentwood>

I will use this IRI in the query, properly enclosed in angle brackets.

[Tool]
Got 1 row and 1 column:
| localAuthority |
| -------------- |
| Essex (en)     |

[Tool]
Got 2 rows and 1 column:
| iri                                                  |
| ---------------------------------------------------- |
| Essex (<http://dbpedia.org/resource/Category:Essex>) |
| Essex (dbr:Essex)                                    |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the IRI of the local authority for Trinity School, Brentwood using the dbp:localAuthority property. The answer matches the expected result, and the query adheres to the rules by returning the identifier. No further refinement is necessary.


Failed to generate SPARQL query

[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:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

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

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

[User] What is the military branch of the William French Smith which is also the branch of Pierre R. Graham?

[Assistant]
Let's break down the question:

1. Identify the entity "William French Smith" in DBpedia.
2. Identify the entity "Pierre R. Graham" in DBpedia.
3. Find the property that links a person to their military branch.
4. Find the military branch of William French Smith.
5. Check if Pierre R. Graham has the same military branch.
6. Return the military branch (IRI).

Let's start by searching for "William French Smith" in DBpedia.
I will search for the entity "William French Smith" in DBpedia to get its IRI.


SELECT ?plane ?origin WHERE { VALUES ?plane { dbr:Focke_Wulf_260 dbr:Start+Flug_H_101 } OPTIONAL { ?plane dbo:country ?origin } }

Neither 'Focke Wulf 260' nor 'Start+Flug H 101' could be found as entities in DBpedia. The closest matches for 'Focke Wulf 260' are other Focke Wulf aircraft, but not the specific model. 'Start+Flug H 101' does not return any relevant aircraft entities. Without these entities, I cannot construct a SPARQL query to answer the question about their origins.

[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:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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] Where did these popular aeroplanes - Focke Wulf 260 and Start+Flug H 101 originate?

[Assistant]
Let's break down the question:

1. Identify the entities: "Focke Wulf 260" and "Start+Flug H 101" are both aircraft.
2. The property of interest is "origin" (likely "country of origin" or "manufacturer location").

First, I will search for the entities "Focke Wulf 260" and "Start+Flug H 101" in DBpedia to get their IRIs.

[Tool]
Top 10 entity alternatives:
1. Focke Wulf (dbr:Focke_Wulf)
2. Focke Wulf Fw-190 (dbr:Focke_Wulf_Fw-190)
3. Focke Wulf FW-190 (dbr:Focke_Wulf_FW-190)
4. Focke Wulf Schnellflugzeug (dbr:Focke_Wulf_Schnellflugzeug)
5. Focke Wulf Ta-183 (dbr:Focke_Wulf_Ta-183)
6. Focke Wulf Ta-400 (dbr:Focke_Wulf_Ta-400)
7. Focke Wulff (dbr:Focke_Wulff)
8. Focke Wulf 189 (dbr:Focke_Wulf_189)
9. Focke Wulf 190 (dbr:Focke_Wulf_190)
10. Focke Wulf Condor (dbr:Focke_Wulf_Condor)

[Tool]
Top 10 entity alternatives:
1. 101 Helena (dbr:101_Helena): Helena (minor planet designation: 101 Helena) is a large, rocky ... this object on Oct 7 and 19, 2001 from the Arecibo Observatory.
2. WHOT-FM, also known as HOT 101 (dbr:WHOT-FM): WHOT-FM (101.1 MHz, "Hot 101") is a commercial radio station in ... Road at Mayport Avenue in Boardman, using a Youngstown address.
3. Highway 101 (dbr:Highway_101): Highway 101 was an American country music band founded in 1986 b...n the Hot Country Songs chart, four of which went to Number One.
4. Horizons 101 (dbr:Horizons_101): The Horizons 101 is a condominium complex in Cebu City. Tower 1 ...es from the two towers' total number of floors of 55 + 46 = 101.
5. History 101 (dbr:History_101)
6. Highlands 101 (dbr:Highlands_101): The Highlands 101 is an endurance motor race which is held at Hi...race is run as a round of the Australian Endurance Championship.
7. HD 10180 h (dbr:HD_10180_h)
8. (101) Helena (<http://dbpedia.org/resource/(101)_Helena>)
9. HTTP 101 (dbr:HTTP_101)
10. Horizon 101 (dbr:Horizon_101)

[Assistant]
It appears that "Focke Wulf 260" and "Start+Flug H 101" do not have direct matches in DBpedia. The closest matches for "Focke Wulf 260" are various Focke Wulf aircraft, but not specifically a "260" model. For "Start+Flug H 101", there are no relevant matches related to aircraft.

Given this, I cannot provide a SPARQL query that directly answers the question using DBpedia, as the entities do not exist in the knowledge graph.

I will now cancel and explain the situation.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system's explanation is correct: the specific aircraft models 'Focke Wulf 260' and 'Start+Flug H 101' do not exist as entities in DBpedia, so it is not possible to construct a valid SPARQL query to answer the question. The attempted query also failed due to an invalid IRI format for 'Start+Flug_H_101'. The system correctly identified the limitation and provided an appropriate explanation.


PREFIX dbr: <http://dbpedia.org/resource/>
PREFIX dbo: <http://dbpedia.org/ontology/>
SELECT ?religion WHERE {
  dbr:Wickramabahu_Central_College dbo:religion ?r1 .
  OPTIONAL {
    ?r1 dbo:wikiPageRedirects ?redirect1
  }
  BIND( COALESCE ( ?redirect1 , ?r1 ) AS ?normReligion ) dbr:Neungin_High_School dbo:religion ?r2 .
  OPTIONAL {
    ?r2 dbo:wikiPageRedirects ?redirect2
  }
  BIND( COALESCE ( ?redirect2 , ?r2 ) AS ?normReligion2 ) FILTER ( ?normReligion = ?normReligion2 ) BIND( ?normReligion AS ?religion )
}

Got 1 row and 1 column:
| religion                |
| ----------------------- |
| Buddhism (dbr:Buddhism) |

Both Wickramabahu Central College and Neungin High School share the religion Buddhism (dbr:Buddhism) according to DBpedia.

[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:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 religion do the Wickramabahu Centeral College and Neungin High School both follow?

[Assistant]
Let's break down the question:

1. The question asks about the religion associated with two educational institutions: Wickramabahu Central College and Neungin High School.
2. We need to identify the entities for both schools in DBpedia.
3. Then, we need to find the property that relates an educational institution to a religion.
4. Finally, we need to find the religion(s) that both institutions share.

Let's start by searching for the entities "Wickramabahu Central College" and "Neungin High School" in DBpedia.

[Tool]
Top 10 entity alternatives:
1. Wickramabahu Central College (dbr:Wickramabahu_Central_College): Wickramabahu Central College (National School) (Sinhala: වික්‍රම...ents. It has been a co-educational school for the past 64 years.
2. Wickramabahu Central College (National School) (<http://dbpedia.org/resource/Wickramabahu_Central_College_(National_School)>)
3. Central College (dbr:Central_College): Central College may refer to:
4. North Central College, also known as Cardinals (dbr:North_Central_College)
5. Jaffna Central College (dbr:Jaffna_Central_College): Jaffna Central College (Tamil: யாழ்ப்பாணம் மத்திய கல்லூரி Yāḻppā...Methodist missionaries, it is one of Sri Lanka's oldest schools.
6. Piliyandala Central College (dbr:Piliyandala_Central_College): Central College Piliyandala (First National Sports School) is a ...blished by Hon. C. W. W. Kannangara and has about 1000 students.
7. Methodist Central College (dbr:Methodist_Central_College): Methodist Central College is a provincial school in Batticaloa, Sri Lanka.
8. Central College (Iowa) (<http://dbpedia.org/resource/Central_College_(Iowa)>)
9. Bandarawela Central College (dbr:Bandarawela_Central_College): Bandarwela Madya Maha Vidyalaya (Bandarawela Central College) is...many undergraduates from Badulla District to local universities.
10. Sivali Central College (dbr:Sivali_Central_College): Sivali Central College is a school situated in Hidellana, near R...of around 3,500. Today it has become a leading school Sri Lanka.

[Tool]
Top 10 entity alternatives:
1. Neungin High School (dbr:Neungin_High_School): Neung-in High School is a high school in Daegu, South Korea. As ...l was established on 13 January 1938 and opened on 8 April 1940.
2. High School High (dbr:High_School_High)
3. Highline High School (dbr:Highline_High_School): Highline High School is a public high school in Burien, Washingt..., but at the time Highline was the only high school in the area.
4. Hightstown High School (dbr:Hightstown_High_School): Hightstown High School is a four-year comprehensive public high ... Windsor Township and Hightstown Borough, both in Mercer County.
5. Hightower High School (dbr:Hightower_High_School): Hightower High School is a secondary school (grades 9-12) locate...he Hightower Hurricanes.Hightower serves parts of Missouri City.
6. Highspire High School (dbr:Highspire_High_School): Highspire High School is a historic high school building located... addition features Art Deco style pilaster capitals and cornice.
7. Highland High School (dbr:Highland_High_School)
8. High school (dbr:High_school)
9. High School (dbr:High_School)
10. Highlands High School (dbr:Highlands_High_School)

[Tool]
Top 10 property alternatives:
1. religión (<http://dbpedia.org/property/religión>)
2. religion (dbp:religion)
3. religion (dbo:religion)
4. religion. (dbp:religion.)
5. religions (dbp:religions)
6. religious (dbp:religious)
7. religion main (dbp:religionMain)
8. faith (dbp:faith)
9. religious affiliation (dbp:religiousAffiliation)
10. religions sub (dbp:religionsSub)

[Tool]
Got 111 rows and 3 columns, showing the first 10 rows below:
| subject                                                         | property                                                            | object                                                                                |
| --------------------------------------------------------------- | ------------------------------------------------------------------- | --------------------------------------------------------------------------------------- |
| Wickramabahu Central College (dbr:Wickramabahu_Central_College) | has abstract (dbo:abstract)                                         | Wickramabahu Central College (Na...al school for the past 64 years. (en)                |
| Wickramabahu Central College (dbr:Wickramabahu_Central_College) | Wikipage page ID (dbo:wikiPageID)                                   | 48775558 (xsd:int)                                                                      |
| Wickramabahu Central College (dbr:Wickramabahu_Central_College) | Wikipage revision ID (dbo:wikiPageRevisionID)                       | 1116761617 (xsd:int)                                                                    |
| Wickramabahu Central College (dbr:Wickramabahu_Central_College) | page length (characters) of wiki page (dbo:wikiPageLength)          | 10782 (xsd:int)                                                                         |
| Wickramabahu Central College (dbr:Wickramabahu_Central_College) | Link from a Wikipage to an external page (dbo:wikiPageExternalLink) | <http://archives.dailynews.lk/2007/10/20/spo22.asp>                                     |
| Wickramabahu Central College (dbr:Wickramabahu_Central_College) | name (dbp:name)                                                     | Wickramabahu Central College (en)                                                       |
| Wickramabahu Central College (dbr:Wickramabahu_Central_College) | location (dbp:location)                                             | Nawalapitiya Road, Gampola (en)                                                         |
| Wickramabahu Central College (dbr:Wickramabahu_Central_College) | type (dbp:type)                                                     | National school (Sri Lanka) (<http://dbpedia.org/resource/National_school_(Sri_Lanka)>) |
| Wickramabahu Central College (dbr:Wickramabahu_Central_College) | country (dbp:country)                                               | Sri Lanka (en)                                                                          |
| Wickramabahu Central College (dbr:Wickramabahu_Central_College) | location (dbo:location)                                             | Gampola (dbr:Gampola)                                                                   |
| ...                                                             | ...                                                                 | ...                                                                                |

[Tool]
Got 77 rows and 3 columns, showing the first 10 rows below:
| subject                                       | property                                                            | object                                                                   |
| --------------------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Neungin High School (dbr:Neungin_High_School) | has abstract (dbo:abstract)                                         | Neung-in High School is a high s...1938 and opened on 8 April 1940. (en) |
| Neungin High School (dbr:Neungin_High_School) | Wikipage page ID (dbo:wikiPageID)                                   | 32556023 (xsd:int)                                                       |
| Neungin High School (dbr:Neungin_High_School) | Wikipage revision ID (dbo:wikiPageRevisionID)                       | 1083501165 (xsd:int)                                                     |
| Neungin High School (dbr:Neungin_High_School) | page length (characters) of wiki page (dbo:wikiPageLength)          | 2102 (xsd:int)                                                           |
| Neungin High School (dbr:Neungin_High_School) | Link from a Wikipage to an external page (dbo:wikiPageExternalLink) | <http://www.neungin.hs.kr/>                                              |
| Neungin High School (dbr:Neungin_High_School) | name (dbp:name)                                                     | Neung-in High School (en)                                                |
| Neungin High School (dbr:Neungin_High_School) | country (dbo:country)                                               | South Korea (dbr:South_Korea)                                            |
| Neungin High School (dbr:Neungin_High_School) | country (dbp:country)                                               | South Korea (dbr:South_Korea)                                            |
| Neungin High School (dbr:Neungin_High_School) | authority (dbp:authority)                                           | Daegu Metropolitan Office of Education (en)                              |
| Neungin High School (dbr:Neungin_High_School) | native name (dbp:nativeName)                                        | 능인고등학교 (en)                                                              |
| ...                                           | ...                                                                 | ...                                                                      |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 3 columns:
| subject                                                         | property                | object                  |
| --------------------------------------------------------------- | ----------------------- | ----------------------- |
| Wickramabahu Central College (dbr:Wickramabahu_Central_College) | religion (dbo:religion) | Buddhism (dbr:Buddhism) |

[Tool]
Got 1 row and 3 columns:
| subject                                       | property                | object                  |
| --------------------------------------------- | ----------------------- | ----------------------- |
| Neungin High School (dbr:Neungin_High_School) | religion (dbo:religion) | Buddhist (dbr:Buddhist) |

[Tool]
Got 2 rows and 1 column:
| religion                |
| ----------------------- |
| Buddhist (dbr:Buddhist) |
| Buddhism (dbr:Buddhism) |

[Tool]
Got 1 row and 1 column:
| label         |
| ------------- |
| Buddhism (en) |

[Tool]
Got 1 row and 1 column:
| label         |
| ------------- |
| Buddhist (en) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query retrieves the religions associated with both schools, but it does not ensure that both schools share the same religion. The result shows two different values: 'Buddhist' and 'Buddhism', which may refer to the same religion but are represented by different IRIs. To answer the question correctly, the query should only return religions that are associated with both schools (i.e., the intersection). Please refine the query to return only the religions that both schools have in common, and ensure that the IRIs are consistent.

[Assistant]
Thank you for the feedback. You are correct: the previous query simply listed all religions associated with either school, rather than only those shared by both. Additionally, the two IRIs (dbr:Buddhism and dbr:Buddhist) should be normalized for a proper intersection.

To address this:
1. I will write a query that finds religions associated with both schools (i.e., the intersection).
2. I will use a case-insensitive comparison on the labels of the religions to ensure that equivalent religions with different IRIs (like dbr:Buddhism and dbr:Buddhist) are matched.

Here's my plan:
- Retrieve the religions for each school.
- Get their English labels.
- Return only those religions where the lower-case label matches for both schools.

Let's construct and execute this refined query.

[Tool] Got no rows and 2 columns

[Assistant]
The refined query, which matches religions by their English labels (case-insensitive), returned no results. This suggests that although both schools have a religion property, their values are represented by different IRIs (dbr:Buddhism and dbr:Buddhist), and their labels ("Buddhism" and "Buddhist") do not match exactly even after case normalization.

To improve the query, I will:
- Normalize the labels further by stemming or by matching substrings (e.g., "buddh" in both).
- Alternatively, I can check if either religion IRI is a redirect or owl:sameAs of the other.

First, let's check if dbr:Buddhist or dbr:Buddhism are linked via owl:sameAs or redirect.

[Tool]
Got 10 rows and 3 columns:
| subject                 | property                                                   | object                                                       |
| ----------------------- | ---------------------------------------------------------- | ------------------------------------------------------------ |
| Buddhist (dbr:Buddhist) | Wikipage page ID (dbo:wikiPageID)                          | 4290 (xsd:int)                                               |
| Buddhist (dbr:Buddhist) | Wikipage revision ID (dbo:wikiPageRevisionID)              | 875813285 (xsd:int)                                          |
| Buddhist (dbr:Buddhist) | page length (characters) of wiki page (dbo:wikiPageLength) | 62 (xsd:int)                                                 |
| Buddhist (dbr:Buddhist) | Wikipage redirect (dbo:wikiPageRedirects)                  | Buddhism (dbr:Buddhism)                                      |
| Buddhist (dbr:Buddhist) | rdf:type                                                   | country (dbo:Country)                                        |
| Buddhist (dbr:Buddhist) | dbp:wikiPageUsesTemplate                                   | <http://dbpedia.org/resource/Template:R_from_adjective>      |
| Buddhist (dbr:Buddhist) | rdfs:label                                                 | Buddhist (en)                                                |
| Buddhist (dbr:Buddhist) | prov:wasDerivedFrom                                        | <http://en.wikipedia.org/wiki/Buddhist?oldid=875813285&ns=0> |
| Buddhist (dbr:Buddhist) | foaf:isPrimaryTopicOf                                      | <http://en.wikipedia.org/wiki/Buddhist>                      |
| Buddhist (dbr:Buddhist) | dbp:wikiPageUsesTemplate                                   | <http://dbpedia.org/resource/Template:Rcat_shell>            |

[Tool]
Got 428 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                                                            | object                                                                   |
| ----------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Buddhism (dbr:Buddhism) | has abstract (dbo:abstract)                                         | Buddhism (, US: ) is an Indian r... region, Mongolia, and Kalmykia. (en) |
| Buddhism (dbr:Buddhism) | Wikipage page ID (dbo:wikiPageID)                                   | 3267529 (xsd:int)                                                        |
| Buddhism (dbr:Buddhism) | Wikipage revision ID (dbo:wikiPageRevisionID)                       | 1124734322 (xsd:int)                                                     |
| Buddhism (dbr:Buddhism) | page length (characters) of wiki page (dbo:wikiPageLength)          | 294768 (xsd:int)                                                         |
| Buddhism (dbr:Buddhism) | Link from a Wikipage to an external page (dbo:wikiPageExternalLink) | <http://buddhanet.net/>                                                  |
| Buddhism (dbr:Buddhism) | title (dbp:title)                                                   | Buddhism by country (dbr:Buddhism_by_country)                            |
| Buddhism (dbr:Buddhism) | date (dbp:date)                                                     | July 2022 (en)                                                           |
| Buddhism (dbr:Buddhism) | caption (dbp:caption)                                               | 1893 (xsd:int)                                                           |
| Buddhism (dbr:Buddhism) | year (dbp:year)                                                     | 2005 (xsd:int)                                                           |
| Buddhism (dbr:Buddhism) | first (dbp:first)                                                   | Christopher S. (en)                                                      |
| ...                     | ...                                                                 | ...                                                                      |

[Tool]
SPARQL execution failed:
Invalid SPARQL query: Variable ?religion is selected but not aggregated. All non-aggregated variables must be part of the GROUP BY clause.

[Assistant]
The last query failed because I attempted to use GROUP BY and HAVING incorrectly. Instead, I should:
- Retrieve the normalized religion for each school (following redirects).
- Only return religions that are associated with both schools (i.e., the intersection).

A correct approach is to:
- Normalize both schools' religion IRIs by following dbo:wikiPageRedirects.
- Find the intersection by matching the normalized IRIs.

Here is the refined query:

```sparql
SELECT ?religion WHERE {
  {
    dbr:Wickramabahu_Central_College dbo:religion ?r1 .
    OPTIONAL { ?r1 dbo:wikiPageRedirects ?norm1 }
    BIND(COALESCE(?norm1, ?r1) AS ?religionNorm)
  }
  {
    dbr:Neungin_High_School dbo:religion ?r2 .
    OPTIONAL { ?r2 dbo:wikiPageRedirects ?norm2 }
    BIND(COALESCE(?norm2, ?r2) AS ?religionNorm)
  }
  BIND(?religionNorm AS ?religion)
}
```

This query will only return religions (after redirect normalization) that are associated with both schools. Let's execute it.

[Tool]
Got 1 row and 1 column:
| religion                |
| ----------------------- |
| Buddhism (dbr:Buddhism) |

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query is incorrect because it does not ensure that both schools share the same religion. The two subqueries for each school independently bind their religion to the same variable (?religionNorm), but this does not guarantee that the religions are the same for both schools. The query should explicitly check that the religion of both schools is the same by using a variable, e.g., ?religion, and requiring that both schools have dbo:religion ?religion. Please rewrite the query to ensure that only religions shared by both schools are returned.

[Assistant]
Thank you for the feedback. You are correct: the previous query did not guarantee that both schools share the same religion, as it did not require both schools to have the same value for dbo:religion (after normalization).

To ensure that only religions shared by both schools are returned, I will:
- Normalize the religion IRIs for both schools (following redirects).
- Require that both schools have the same normalized religion.

Here is the improved query:

```sparql
SELECT ?religion WHERE {
  {
    dbr:Wickramabahu_Central_College dbo:religion ?r1 .
    OPTIONAL { ?r1 dbo:wikiPageRedirects ?religion }
    BIND(COALESCE(?religion, ?r1) AS ?normReligion)
  }
  {
    dbr:Neungin_High_School dbo:religion ?r2 .
    OPTIONAL { ?r2 dbo:wikiPageRedirects ?religion2 }
    BIND(COALESCE(?religion2, ?r2) AS ?normReligion2)
  }
  FILTER(?normReligion = ?normReligion2)
}
```

This query ensures that only religions (after normalization) that are shared by both schools are returned. Let's execute it.

[Tool]
Got 1 row and 1 column:
| normReligion |
| ------------ |

[Tool] Got no rows and 1 columns

[Assistant]
Both the normalized and direct intersection queries returned no results. This is likely because the two schools use different IRIs for their religion (dbr:Buddhism and dbr:Buddhist), and DBpedia does not explicitly connect them via owl:sameAs or use the same IRI for both.

However, we previously established that dbr:Buddhist redirects to dbr:Buddhism. To ensure the intersection, we can:
- For each school, follow dbo:wikiPageRedirects if present, otherwise use the original IRI.
- Then, require that both schools have the same normalized religion.

Here is a revised query that does this more robustly:

```sparql
SELECT ?religion WHERE {
  {
    dbr:Wickramabahu_Central_College dbo:religion ?r1 .
    OPTIONAL { ?r1 dbo:wikiPageRedirects ?redirect1 }
    BIND(COALESCE(?redirect1, ?r1) AS ?normReligion)
  }
  {
    dbr:Neungin_High_School dbo:religion ?r2 .
    OPTIONAL { ?r2 dbo:wikiPageRedirects ?redirect2 }
    BIND(COALESCE(?redirect2, ?r2) AS ?normReligion2)
  }
  FILTER(?normReligion = ?normReligion2)
  BIND(?normReligion AS ?religion)
}
```

This query ensures that both schools share the same normalized religion IRI. Let's execute this version.

[Tool]
Got 1 row and 1 column:
| religion                |
| ----------------------- |
| Buddhism (dbr:Buddhism) |

[Tool] Stopped generation process


PREFIX dbr: <http://dbpedia.org/resource/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX dbo: <http://dbpedia.org/ontology/>
SELECT DISTINCT ?entity WHERE {
  dbr:Michael_Springer dbo:team ?entity .
  dbr:Donald_Brooks dbo:education ?entity .
  OPTIONAL {
    ?entity rdfs:label ?label
  }
}

Got 1 row and 1 column:
| entity                                        |
| --------------------------------------------- |
| Syracuse University (dbr:Syracuse_University) |

Syracuse University is the entity for which Michael Springer played and which also had Donald Brooks as a former student.

[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:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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] For whom did Michael Springer palyed for which is also had a former student named Donald Brooks?

[Assistant]
Let's break down the question:

- We are looking for an entity (likely a sports team or club) that Michael Springer played for.
- This same entity also had a former student named Donald Brooks.

Step 1: Identify "Michael Springer" in DBpedia and determine the property for "played for".
Step 2: Identify "Donald Brooks" in DBpedia and determine the property for "former student".
Step 3: Find the intersection: entities that Michael Springer played for and that had Donald Brooks as a former student.

First, let's search for "Michael Springer" in DBpedia.

[Tool]
Top 10 entity alternatives:
1. Michael Springer (dbr:Michael_Springer): Michael Springer (born August 4, 1979) is a lacrosse player for ...e University. He now coaches varsity lacrosse at Don Bosco Prep.
2. Springer, Michael (<http://dbpedia.org/resource/Springer,_Michael>)
3. S. H. Foulkes, also known as Michael (dbr:S._H._Foulkes): S. H. Foulkes was a German-British psychiatrist and psychoanalys...anted British citizenship and changed his name to S. H. Foulkes.
4. Michael (dbr:Michael): Michael is a masculine given name derived from the Hebrew phrase...l, 'Who [is] like-El', in Aramaic: ܡܝܟܐܝܠ (Mīkhāʼēl [miχaˈʔel]).
5. Michael Michaelsen (dbr:Michael_Michaelsen): Michael Jacob Michaelsen (April 11, 1899 – August 13, 1970) was ...ropean champion defeating Sweden's Bertil Molander in the final.
6. Taiwo Akinkunmi, also known as Michael (dbr:Taiwo_Akinkunmi): Michael Taiwo Akinkunmi OFR (born 10 May 1936) is a retired Nige...geria's national flag, and he is commonly called "Mr. Flag Man".
7. Springer (dbr:Springer)
8. Dave Taht, also known as Michael (dbr:Dave_Taht)
9. Michael Michael (dbr:Michael_Michael): Michael Michael (born 12 November 1957 in Birmingham) is the ex-...s involved in drug smuggling, prostitution and money laundering.
10. Michael, Michael (<http://dbpedia.org/resource/Michael,_Michael>)

[Assistant]
The top result for "Michael Springer" is dbr:Michael_Springer, who is a lacrosse player. This matches the context of someone who "played for" a team.

Next, let's search for "Donald Brooks" in DBpedia to identify the correct entity.

[Tool]
Top 10 entity alternatives:
1. Donald Brooks (dbr:Donald_Brooks): Donald Brooks (January 9, 1928 – August 1, 2005) was an American...nominated three times for the Academy Award and once for a Tony.
2. Brooks Donald-Williams (dbr:Brooks_Donald-Williams): Brooks Donald-Williams (born January 16, 1978) is an American ba...men's basketball coach at the University of Louisiana at Monroe.
3. Edward H. Brooks, also known as "Standing Eddie", "Brooks", "Ted" (dbr:Edward_H._Brooks): Lieutenant General Edward Hale Brooks (April 25, 1893 – October ...s during the subsequent defeat of German forces in World War II.
4. Donald (dbr:Donald)
5. Brooks (dbr:Brooks)
6. Brooks' (<http://dbpedia.org/resource/Brooks'>)
7. Donald Trump (dbr:Donald_Trump): Donald John Trump (born June 14, 1946) is an American media pers...state business in 1971 and renamed it to The Trump Organization.
8. Donald Rumsfeld, also known as "Rummy" (dbr:Donald_Rumsfeld): Donald Henry Rumsfeld (born July 9, 1932) is a retired American ...cretary of Defense. Additionally, Rumsfeld was a three-term U.S.
9. Donald Knuth (dbr:Donald_Knuth): Donald Ervin Knuth ( kə-NOOTH; born January 10, 1938) is an Amer...author of the multi-volume work The Art of Computer Programming.
10. Mel Brooks (dbr:Mel_Brooks): Mel Brooks (born Melvin Kaminsky; June 28, 1926) is an American ...rl Reiner, he created the comic character The 2000 Year Old Man.

[Assistant]
The top result for "Donald Brooks" is dbr:Donald_Brooks, an American costume designer.

Now, let's determine the properties:
- For Michael Springer: the property for "played for" (likely "team" or "club").
- For Donald Brooks: the property for "former student" (possibly "formerStudent" or "alumnus").

Let's search for properties related to "played for" for Michael Springer.

[Tool]
Top 10 property alternatives:
1. league (dbp:league)
2. mll team (dbp:mllTeam)
3. position (dbp:position)
4. Team (dbp:team)
5. team (dbo:team): sports team
6. nll draft team (dbp:nllDraftTeam)
7. nll draft (dbp:nllDraft)
8. nationality (dbp:nationality)
9. shoots (dbp:shoots)
10. birth date (dbo:birthDate): xsd:date, animal

No other items found

[Assistant]
The relevant property for "played for" is likely dbo:team (sports team) or dbp:team.

Next, let's search for properties related to "former student" for the entity dbr:Donald_Brooks.

[Tool]
Top 10 property alternatives:
1. education (dbo:education): person
2. education (dbp:education)
3. birth place (dbo:birthPlace): where the person was born, animal, place
4. birth place (dbp:birthPlace)
5. birth date (dbo:birthDate): xsd:date, animal
6. birth date (dbp:birthDate)
7. birth year (dbo:birthYear): xsd:gYear, person
8. name (dbp:name)
9. birth name (dbo:birthName): rdf:langString, person
10. birth name (dbp:birthName)

No other items found

[Assistant]
The closest property for "former student" is dbo:education or dbp:education, which links a person to the institution they attended.

So, the intersection we are looking for is:
- An entity (likely an educational institution or team) that Michael Springer played for (dbo:team or dbp:team)
- The same entity is also the educational institution of Donald Brooks (dbo:education or dbp:education)

Now, let's check what teams Michael Springer played for using dbo:team and dbp:team.

[Tool]
Got 1 row and 3 columns:
| subject                                 | property        | object                                        |
| --------------------------------------- | --------------- | --------------------------------------------- |
| Michael Springer (dbr:Michael_Springer) | team (dbo:team) | Syracuse University (dbr:Syracuse_University) |

[Tool]
Got 1 row and 3 columns:
| subject                                 | property        | object                                        |
| --------------------------------------- | --------------- | --------------------------------------------- |
| Michael Springer (dbr:Michael_Springer) | Team (dbp:team) | Syracuse University (dbr:Syracuse_University) |

[Assistant]
Michael Springer played for Syracuse University (dbr:Syracuse_University).

Now, let's check if Donald Brooks was a former student (educated at) Syracuse University using dbo:education or dbp:education.

[Tool]
Got 2 rows and 3 columns:
| subject                           | property                  | object                                        |
| --------------------------------- | ------------------------- | --------------------------------------------- |
| Donald Brooks (dbr:Donald_Brooks) | education (dbo:education) | Yale University (dbr:Yale_University)         |
| Donald Brooks (dbr:Donald_Brooks) | education (dbo:education) | Syracuse University (dbr:Syracuse_University) |

[Tool]
Got 2 rows and 3 columns:
| subject                           | property                  | object                                        |
| --------------------------------- | ------------------------- | --------------------------------------------- |
| Donald Brooks (dbr:Donald_Brooks) | education (dbp:education) | Yale University (dbr:Yale_University)         |
| Donald Brooks (dbr:Donald_Brooks) | education (dbp:education) | Syracuse University (dbr:Syracuse_University) |

[Assistant]
Both Michael Springer played for and Donald Brooks was educated at Syracuse University.

Now, let's write a SPARQL query that returns the entity (Syracuse University) that satisfies:
- Michael Springer played for it (dbo:team or dbp:team)
- Donald Brooks was educated at it (dbo:education or dbp:education)

We will return the IRI and optionally the label of the entity.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the entity for which Michael Springer played (using dbo:team) and for which Donald Brooks was a former student (using dbo:education). The result, Syracuse University, matches the expected logic of the question. The query returns the IRI as required, and the answer is accurate and complete. No further refinement is needed.


PREFIX dbr: <http://dbpedia.org/resource/>
PREFIX dbo: <http://dbpedia.org/ontology/>
SELECT ?place WHERE {
  dbr:Ludovic_Boi dbo:birthPlace ?place .
  dbr:Fernando_Augustin dbo:residence ?place .
}

Got 1 row and 1 column:
| place                     |
| ------------------------- |
| Mauritius (dbr:Mauritius) |

The birthplace of Ludovic Boi which is also the residence of Fernando Augustin is Mauritius (dbr:Mauritius).

[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:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

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

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

[User] What is the birthplace of Ludovic Boi which is also the residence of Fernando Augustin?

[Assistant]
Let's break down the question:

1. We need to find the birthplace of Ludovic Boi.
2. We need to find the residence of Fernando Augustin.
3. We need to find the place that is both Ludovic Boi's birthplace and Fernando Augustin's residence.

First, I will search for the entities "Ludovic Boi" and "Fernando Augustin" in DBpedia to get their IRIs.

[Tool]
Top 10 entity alternatives:
1. Ludovic Boi (dbr:Ludovic_Boi): Ludovic Boi (born 27 March 1989) is a Mauritian-Australian footb... who plays in the Football West State League for Floreat Athena.
2. Ludovic (dbr:Ludovic)
3. Boí (<http://dbpedia.org/resource/Boí>): Boí (Spanish: Bohí) is a village in the province of Lleida, in C...nal Park, and there is a park information office in the village.
4. Boi (dbr:Boi)
5. BOI (dbr:BOI)
6. Bội (<http://dbpedia.org/resource/Bội>)
7. Boi! (<http://dbpedia.org/resource/Boi!>)
8. Purdue University, also known as Boilermakers (dbr:Purdue_University)
9. Ludovic Giuly (dbr:Ludovic_Giuly)
10. Ludovic Obraniak (dbr:Ludovic_Obraniak): Ludovic Joseph Obraniak (Polish pronunciation: [luˈdɔvʲik ɔˈbraɲ...n attacking midfielder. He represented the Poland national team.

[Tool]
Top 10 entity alternatives:
1. Fernando Augustin (dbr:Fernando_Augustin): Fernando Augustin, full name Jean Fernando Augustin (born 25 Apr...al best time is 46.04 seconds, achieved in March 2002 in Bamako.
2. Fernando (dbr:Fernando)
3. Epico Colón, also known as Orlando Colón, Fernando, Fire Blaze, Tito Colon, Tito Nieves (<http://dbpedia.org/resource/Epico_Colón>): Orlando Tito Colón Nieves (born March 24, 1982) is a Puerto Rica...e current WWC Universal Heavyweight Champion in his first reign.
4. Glenn Ross Campbell, also known as Fernando (dbr:Glenn_Ross_Campbell): Glenn Ross Campbell (born April 28, 1946) is a steel guitarist, most noted for being lead guitarist of cult band The Misunderstood.
5. Augustin (dbr:Augustin)
6. Augustín (<http://dbpedia.org/resource/Augustín>)
7. Augustin Bonnetty (dbr:Augustin_Bonnetty): Augustin Bonnetty (born Entrevaux (dept. of Basses-Alpes), 9 May...the Annales de philosophie chrétienne from 1830 until his death.
8. Fernando Torres (dbr:Fernando_Torres)
9. Fernando Pessoa (dbr:Fernando_Pessoa): Fernando António Nogueira Pessoa (Portuguese: [fɨɾˈnɐ̃du pɨˈsoɐ]...entury and one of the greatest poets in the Portuguese language.
10. Fernando Llorente (dbr:Fernando_Llorente): Fernando Javier Llorente Torres (Spanish pronunciation: [feɾˈnan...mportant offensive players for the club in the following decade.

[Tool]
Top 10 property alternatives:
1. birth place (dbo:birthPlace): where the person was born, animal, place
2. birth place (dbp:birthPlace)
3. birth date (dbo:birthDate): xsd:date, animal
4. birth date (dbp:birthDate)
5. fullname (dbp:fullname)
6. position (dbp:position)
7. position (dbo:position)
8. name (dbp:name)
9. years (dbp:years)
10. clubs (dbp:clubs)

No other items found

[Tool]
Top 10 property alternatives:
1. residence (dbo:residence): Place of residence of a person., person, place
2. residence (dbp:residence)
3. nationality (dbo:nationality): country, person
4. nationality (dbp:nationality)
5. birth date (dbo:birthDate): xsd:date, animal
6. birth date (dbp:birthDate)
7. name (dbp:name)
8. sport (dbp:sport)
9. state of origin (dbo:stateOfOrigin): country, person
10. has abstract (dbo:abstract): Reserved for DBpedia., rdf:langString

No other items found

[Tool]
Got 1 row and 1 column:
| place                     |
| ------------------------- |
| Mauritius (dbr:Mauritius) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly finds the intersection of Ludovic Boi's birthplace and Fernando Augustin's residence by matching both properties to the same ?place. The result, Mauritius, is consistent with the information in DBpedia. The query returns the IRI as required and does not include unnecessary computation or labels. The answer is correct and complete.