PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?venue ?venueLabel ?opened ?formerName WHERE {
  VALUES ?venue {
    fb:m.01tx3t fb:m.01txlf
  }
  ?venue fb:architecture.structure.opened ?opened .
  OPTIONAL {
    ?venue rdfs:label ?venueLabel .
    FILTER ( LANG( ?venueLabel ) = "en" )
  }
  OPTIONAL {
    ?venue fb:common.topic.alias ?formerName .
    FILTER ( LANG( ?formerName ) = "en" )
  }
}

Got 4 rows and 4 columns:
| venue                                        | venueLabel                          | opened                | formerName                                   |
| -------------------------------------------- | ----------------------------------- | --------------------- | -------------------------------------------- |
| Toyota Center (fb:m.01tx3t)                  | Toyota Center (en)                  | 2003-10-06 (xsd:date) | Toyota Center, Houston (en)                  |
| Lakewood Church Central Campus (fb:m.01txlf) | Lakewood Church Central Campus (en) | 1975 (xsd:gYear)      | Compaq Center (en)                           |
| Lakewood Church Central Campus (fb:m.01txlf) | Lakewood Church Central Campus (en) | 1975 (xsd:gYear)      | Lakewood Church Central Campus, Houston (en) |
| Lakewood Church Central Campus (fb:m.01txlf) | Lakewood Church Central Campus (en) | 1975 (xsd:gYear)      | The Summit (en)                              |

The venue opened in 1975 where the Houston Rockets played their basketball games is the Lakewood Church Central Campus, which was formerly known as The Summit. The Rockets played there before moving to their current venue, the Toyota Center, which opened in 2003.

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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 venue was opened in 1975 and is where the Houston Rockets play their basketball games?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
What arena that was opened after 1-9-1975 that the Celtics practice in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0bwjj ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0bwjj fb:sports.sports_team.arena_stadium ?x .
  ?x fb:architecture.structure.opened ?num .
  FILTER ( ?num > "1975-01-09" ^^ xsd:dateTime ) .
}

Using entities:
Boston Celtics, also known as Celtics, Celts, C-Green Smash Machine, The C's, The Green (fb:m.0bwjj): The Boston Celtics are an American professional basketball team ...sh heritage and to Boston's historically large Irish population., has type Professional Sports Team

Using properties:
Opened (fb:architecture.structure.opened): part of Structure schema, links to type Date/Time
Arena/Stadium (fb:sports.sports_team.arena_stadium): links to type Sports Facility, part of Sports Team schema

Example 2:
Question:
Where is the facility where the Houston Rockets play that I can go to for fun?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03l2n ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03l2n fb:travel.travel_destination.tourist_attractions ?x .
  ?x fb:sports.sports_facility.teams fb:m.0jmfb .
}

Using entities:
Houston, also known as Houston, Texas, Houston, TX, Montgomery County / Houston city (fb:m.03l2n): Houston is the most populous city in Texas and the American Sout...hnson Space Center, where the Mission Control Center is located., has type City/Town/Village
Houston Rockets, also known as Rockets, San Diego Rockets (fb:m.0jmfb): The Houston Rockets are an American professional basketball team...ouston to the conference finals in his first year with the team., has type Professional Sports Team

Using properties:
Teams (fb:sports.sports_facility.teams): part of Sports Facility schema, links to type Sports Team
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 3:
Question:
What is the tourist attraction that the Houston Rockets play ball at?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03l2n ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03l2n fb:travel.travel_destination.tourist_attractions ?x .
  ?x fb:sports.sports_facility.teams fb:m.0jmfb .
}

Using entities:
Houston, also known as Houston, Texas, Houston, TX, Montgomery County / Houston city (fb:m.03l2n): Houston is the most populous city in Texas and the American Sout...hnson Space Center, where the Mission Control Center is located., has type City/Town/Village
Houston Rockets, also known as Rockets, San Diego Rockets (fb:m.0jmfb): The Houston Rockets are an American professional basketball team...ouston to the conference finals in his first year with the team., has type Professional Sports Team

Using properties:
Teams (fb:sports.sports_facility.teams): part of Sports Facility schema, links to type Sports Team
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

[Assistant]
From the examples, I see that the Houston Rockets entity is fb:m.0jmfb and the property linking a sports team to its arena or stadium is fb:sports.sports_team.arena_stadium. Also, the property for the opening date of a structure is fb:architecture.structure.opened.

I will now write a query to find the arena or venue where the Houston Rockets play and that was opened in 1975.

[Tool]
Got 1 row and 3 columns:
| venue                                        | venueLabel                          | opened           |
| -------------------------------------------- | ----------------------------------- | ---------------- |
| Lakewood Church Central Campus (fb:m.01txlf) | Lakewood Church Central Campus (en) | 1975 (xsd:gYear) |

[Assistant] The venue where the Houston Rockets play their basketball games and that was opened in 1975 is the Lakewood Church Central Campus. I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The answer provided, 'Lakewood Church Central Campus,' is incorrect as the venue where the Houston Rockets play their basketball games. The Houston Rockets play at the Toyota Center, which opened in 2003, not 1975. The query correctly finds a venue opened in 1975 associated with the Houston Rockets, but this venue is not their current basketball arena. The query should be refined to correctly identify the current home venue of the Houston Rockets, regardless of the opening year, or clarify the question's intent if it specifically asks for a venue opened in 1975. Since the question asks for the venue opened in 1975 where the Rockets play, and no such venue exists, the system should either return no result or clarify the discrepancy. Therefore, the output needs to be reworked to avoid providing incorrect information.

[Assistant]
Thank you for the feedback. The question asks for a venue opened in 1975 where the Houston Rockets play their basketball games. The previous query found a venue opened in 1975 associated with the Rockets but it is not their current basketball arena.

I will now refine the approach:
1. Identify the current venue where the Houston Rockets play their basketball games.
2. Check the opening year of that venue.
3. If the opening year is not 1975, then no venue opened in 1975 is the current home of the Rockets.

I will first find the current venue where the Houston Rockets play their basketball games.

[Tool]
Got 2 rows and 2 columns:
| venue                                        | venueLabel                          |
| -------------------------------------------- | ----------------------------------- |
| Toyota Center (fb:m.01tx3t)                  | Toyota Center (en)                  |
| Lakewood Church Central Campus (fb:m.01txlf) | Lakewood Church Central Campus (en) |

[Assistant] The Houston Rockets currently play at two venues listed: Toyota Center and Lakewood Church Central Campus. I will now check the opening years of both venues to see if either was opened in 1975.

[Tool]
Got 2 rows and 3 columns:
| venue                                        | venueLabel                          | opened                |
| -------------------------------------------- | ----------------------------------- | --------------------- |
| Toyota Center (fb:m.01tx3t)                  | Toyota Center (en)                  | 2003-10-06 (xsd:date) |
| Lakewood Church Central Campus (fb:m.01txlf) | Lakewood Church Central Campus (en) | 1975 (xsd:gYear)      |

[Assistant]
The Toyota Center, where the Houston Rockets currently play basketball games, was opened in 2003. The Lakewood Church Central Campus was opened in 1975 but it is not the current basketball arena for the Rockets.

Since the question asks for a venue opened in 1975 where the Houston Rockets play their basketball games, and no such venue exists, the correct answer is that there is no venue opened in 1975 where the Houston Rockets currently play their basketball games. The current venue is the Toyota Center, opened in 2003.

I will now provide the final answer reflecting this clarification.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer correctly identifies that the Houston Rockets currently play at the Toyota Center, which opened in 2003, and that there is no venue opened in 1975 where they currently play. However, the question asks specifically for the venue opened in 1975 where the Houston Rockets play their basketball games, implying a historical venue. The query only checks two venues (Toyota Center and Lakewood Church Central Campus) but does not explicitly link the Houston Rockets to these venues or check for venues opened in 1975 where the Rockets played historically. The query should be refined to find venues associated with the Houston Rockets and filter for those opened in 1975, to better address the question. Additionally, the answer should clarify that the Rockets played at the Summit (Lakewood Church Central Campus) which opened in 1975, before moving to the Toyota Center.

[Assistant]
Thank you for the clarification. The question implies a historical venue opened in 1975 where the Houston Rockets played their basketball games. The previous query only checked the current venues but did not explicitly check for historical venues associated with the Houston Rockets.

I will now refine the query to:
1. Find all venues associated with the Houston Rockets (current and historical).
2. Filter those venues for ones opened in 1975.
3. Provide information about the venue(s) and clarify the historical context.

I will start by finding all venues associated with the Houston Rockets.

[Tool]
Got 2 rows and 2 columns:
| venue                                        | venueLabel                          |
| -------------------------------------------- | ----------------------------------- |
| Toyota Center (fb:m.01tx3t)                  | Toyota Center (en)                  |
| Lakewood Church Central Campus (fb:m.01txlf) | Lakewood Church Central Campus (en) |

[Assistant] The venues associated with the Houston Rockets are the Toyota Center and the Lakewood Church Central Campus. I will now check the opening years of these venues again and confirm if the Lakewood Church Central Campus was historically known as the Summit, which is the venue opened in 1975 where the Rockets played before moving to the Toyota Center.

[Tool]
Got 4 rows and 4 columns:
| venue                                        | venueLabel                          | opened                | formerName                                   |
| -------------------------------------------- | ----------------------------------- | --------------------- | -------------------------------------------- |
| Toyota Center (fb:m.01tx3t)                  | Toyota Center (en)                  | 2003-10-06 (xsd:date) | Toyota Center, Houston (en)                  |
| Lakewood Church Central Campus (fb:m.01txlf) | Lakewood Church Central Campus (en) | 1975 (xsd:gYear)      | Compaq Center (en)                           |
| Lakewood Church Central Campus (fb:m.01txlf) | Lakewood Church Central Campus (en) | 1975 (xsd:gYear)      | Lakewood Church Central Campus, Houston (en) |
| Lakewood Church Central Campus (fb:m.01txlf) | Lakewood Church Central Campus (en) | 1975 (xsd:gYear)      | The Summit (en)                              |

[Assistant]
The Lakewood Church Central Campus was opened in 1975 and was formerly known as The Summit (also Compaq Center). This was the venue where the Houston Rockets played their basketball games before moving to the Toyota Center, which opened in 2003.

I will now provide the final answer reflecting this historical context.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?currency ?currencyLabel WHERE {
  ?country fb:location.country.currency_used fb:m.0b423v .
  ?country fb:location.country.currency_used ?currency .
  OPTIONAL {
    ?currency rdfs:label ?currencyLabel FILTER ( lang( ?currencyLabel ) = "en" )
  }
}

The most utilized form of currency in the nation where the Peruvian nuevo sol is used (Peru) is the Peruvian nuevo sol itself.

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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] Which form is currency is most utilized in the nation where the Peruvian nuevo sol is used?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
What is the official name of the currency used by the country that circulates the Peruvian sol?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_formerly_used fb:m.0344xy .
  ?c fb:location.country.currency_used ?x .
}

Using entities:
Peruvian sol, also known as Peruvian sol (Remonetized) (fb:m.0344xy): The sol was the currency of Peru between 1863 and 1985. It had t...ncy code PEH. It was subdivided into 10 dineros or 100 centavos., has type Currency

Using properties:
Currency Formerly Used (fb:location.country.currency_formerly_used): links to type Currency, part of Country schema
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

Example 2:
Question:
What language is spoken in the country where the currency is the Peruvian nuevo sol?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_used fb:m.0b423v .
  ?c fb:location.country.languages_spoken ?x .
}

Using entities:
Peruvian nuevo sol, also known as Sol (fb:m.0b423v): The Nuevo Sol is the currency of Peru. It is subdivided into 100...vian inti, which was named after Inti, the Sun God of the Incas., has type Currency

Using properties:
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

Example 3:
Question:
What is the language spoken in the country that uses Peruvian sol as currency?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_formerly_used fb:m.0344xy .
  ?c fb:location.country.languages_spoken ?x .
}

Using entities:
Peruvian sol, also known as Peruvian sol (Remonetized) (fb:m.0344xy): The sol was the currency of Peru between 1863 and 1985. It had t...ncy code PEH. It was subdivided into 10 dineros or 100 centavos., has type Currency

Using properties:
Currency Formerly Used (fb:location.country.currency_formerly_used): links to type Currency, part of Country schema
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

[Assistant]
From the examples, I see that the Peruvian nuevo sol is represented as fb:m.0b423v in Freebase. The property for the currency used by a country is fb:location.country.currency_used. To find the most utilized form of currency in the nation where the Peruvian nuevo sol is used, I need to:

1. Identify the country that uses the Peruvian nuevo sol as currency.
2. Find the most utilized form of currency in that country.

I will first verify the entity for the Peruvian nuevo sol in Freebase.

[Tool]
Top 10 entity alternatives:
1. Peruvian nuevo sol, also known as Sol (fb:m.0b423v): The Nuevo Sol is the currency of Peru. It is subdivided into 100...vian inti, which was named after Inti, the Sun God of the Incas., has type Currency
2. Peruvian sol, also known as Peruvian sol (Remonetized) (fb:m.0344xy): The sol was the currency of Peru between 1863 and 1985. It had t...ncy code PEH. It was subdivided into 10 dineros or 100 centavos., has type Currency
3. Nuevo Sol (fb:m.0xg62xl): has type Musical Release
4. Nuevo Sol (fb:m.0x50pd5): has type Musical Release
5. Nuevo Sol (fb:m.013sqfw): has type Musical Recording
6. Nuevo sol (fb:m.0116_hzs): has type Musical Release
7. Nuevo Sol (fb:m.0xjg9kb): has type Musical Album
8. Nuevo sol (fb:m.0ybjyj0): has type Musical Recording
9. Nuevo sol (fb:m.0116_xhq): has type Musical Album
10. Nuevo Sol (fb:m.0dmmft3): has type Musical Recording

[Assistant] The Peruvian nuevo sol is identified as fb:m.0b423v in Freebase. Now, I will find the country that uses this currency by querying the property fb:location.country.currency_used.

[Tool]
Got 1 row and 2 columns:
| country            | countryLabel |
| ------------------ | ------------ |
| Peru (fb:m.016wzw) | Peru (en)    |

[Assistant] The country that uses the Peruvian nuevo sol as currency is Peru (fb:m.016wzw). Now, I will find the most utilized form of currency in Peru. I will look for properties related to currency forms used in Peru.

[Tool]
Top 10 property alternatives:
1. Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema
2. Currency Formerly Used (fb:location.country.currency_formerly_used): links to type Currency, part of Country schema
3. GDP (nominal) (fb:location.statistical_region.gdp_nominal): part of Statistical region schema, links to type Dated Money Value
4. Inflation rate (fb:location.statistical_region.cpi_inflation_rate): part of Statistical region schema, links to type Dated Percentage
5. GNI in PPP dollars (fb:location.statistical_region.gni_in_ppp_dollars): part of Statistical region schema, links to type Dated Money Value
6. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
7. GDP real (fb:location.statistical_region.gdp_real): links to type Adjusted money value, part of Statistical region schema
8. Trade balance (% of GDP) (fb:location.statistical_region.trade_balance_as_percent_of_gdp): part of Statistical region schema, links to type Dated Percentage
9. Deposit interest rate (fb:location.statistical_region.deposit_interest_rate): part of Statistical region schema, links to type Dated Percentage
10. Capital (fb:location.country.capital): links to type City/Town/Village, part of Country schema

No other items found

[Assistant]
The property fb:location.country.currency_used gives the currency used by the country, but it does not specify different forms or utilization levels of currency. The question asks for the most utilized form of currency in the nation where the Peruvian nuevo sol is used. Since the Peruvian nuevo sol is the currency of Peru, the most utilized form of currency in Peru would logically be the Peruvian nuevo sol itself.

I will now prepare the final answer stating that the most utilized form of currency in Peru, where the Peruvian nuevo sol is used, is the Peruvian nuevo sol.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the currency used in the country where the Peruvian nuevo sol is used, which is Peru, and returns the Peruvian nuevo sol itself as the most utilized currency. The query uses the property 'currency_used' to find the currency of the country and includes an optional label for readability. The answer is accurate and complete based on the knowledge graph data. No further refinements are necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?author ?authorLabel ?influence ?influenceLabel WHERE {
  ?author fb:book.author.book_editions_published fb:m.04v86lt .
  OPTIONAL {
    ?author rdfs:label ?authorLabel
  }
  OPTIONAL {
    ?author fb:influence.influence_node.influenced_by ?influence .
    ?influence rdfs:label ?influenceLabel
  }
}

Got 1,178 rows and 4 columns, showing the first 5 and last 5 rows below:
| author                       | authorLabel          | influence                 | influenceLabel      |
| ---------------------------- | -------------------- | ------------------------- | ------------------- |
| Langston Hughes (fb:m.0bv62) | Langston Hughes (ca) | Walt Whitman (fb:m.085gk) | Volts Vitmens (lv)  |
| Langston Hughes (fb:m.0bv62) | Langston Hughes (ca) | Walt Whitman (fb:m.085gk) | Walter Whitman (id) |
| Langston Hughes (fb:m.0bv62) | Langston Hughes (ca) | Walt Whitman (fb:m.085gk) | Walt Whitman (ca)   |
| Langston Hughes (fb:m.0bv62) | Langston Hughes (ca) | Walt Whitman (fb:m.085gk) | Walt Whitman (cs)   |
| Langston Hughes (fb:m.0bv62) | Langston Hughes (ca) | Walt Whitman (fb:m.085gk) | Walt Whitman (da)   |
| ...                          | ...                  | ...                       | ...                 |
| Langston Hughes (fb:m.0bv62) | 朗斯顿·休斯 (zh)          | Walt Whitman (fb:m.085gk) | والت ویتمن (fa)     |
| Langston Hughes (fb:m.0bv62) | 朗斯顿·休斯 (zh)          | Walt Whitman (fb:m.085gk) | 월트 휘트먼 (ko)         |
| Langston Hughes (fb:m.0bv62) | 朗斯顿·休斯 (zh)          | Walt Whitman (fb:m.085gk) | ウォルト・ホイットマン (ja)    |
| Langston Hughes (fb:m.0bv62) | 朗斯顿·休斯 (zh)          | Walt Whitman (fb:m.085gk) | 沃尔特·惠特曼 (zh)        |
| Langston Hughes (fb:m.0bv62) | 朗斯顿·休斯 (zh)          | Walt Whitman (fb:m.085gk) | 華特·惠特曼 (zh-Hant)    |

The author who wrote "Not Without Laughter" is Langston Hughes. He was inspired to write poetry by being influenced by Walt Whitman.

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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] How did the author who wrote in the Not Without Laughter become inspired to write poetry?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
Who influenced the author who wrote "Not Without Laughter (Thrift Edition) to write?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:book.author.book_editions_published fb:m.04v86lt .
  ?c fb:influence.influence_node.influenced_by ?x .
}

Using entities:
Not Without Laughter (Thrift Edition) (fb:m.04v86lt): has type Book Edition

Using properties:
Book editions published (fb:book.author.book_editions_published): links to type Book Edition, part of Author schema
Influenced By (fb:influence.influence_node.influenced_by): part of Influence Node schema, links to type Influence Node

Example 2:
Question:
Who inspired the poet who wrote Standup Shakespeare to create poetry?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:theater.theatrical_lyricist.play_lyrics_written fb:m.0zvdf6j .
  ?c fb:influence.influence_node.influenced_by ?x .
}

Using entities:
Standup Shakespeare (fb:m.0zvdf6j): Standup Shakespeare is a play written by Kenneth Welsh., has type Play

Using properties:
Influenced By (fb:influence.influence_node.influenced_by): part of Influence Node schema, links to type Influence Node
Play Lyrics Written (fb:theater.theatrical_lyricist.play_lyrics_written): part of Theatrical Lyricist schema, links to type Play

Example 3:
Question:
Who influenced the author of "Selected Poetry"?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:book.author.book_editions_published fb:m.04vt0p5 .
  ?c fb:influence.influence_node.influenced_by ?x .
}

Using entities:
Selected Poetry (fb:m.04vt0p5): has type Book Edition

Using properties:
Book editions published (fb:book.author.book_editions_published): links to type Book Edition, part of Author schema
Influenced By (fb:influence.influence_node.influenced_by): part of Influence Node schema, links to type Influence Node

[Assistant]
From the examples, it seems that the property fb:influence.influence_node.influenced_by is used to find who or what influenced an author or creator. Also, the book "Not Without Laughter" can be identified by its editions using fb:book.author.book_editions_published.

Next, I will search for the entity "Not Without Laughter" to find its identifier in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Not Without Laughter (fb:m.0bm3n3): Not Without Laughter is a novel written by Langston Hughes and p... 1930. It is Hughes' first novel, and first major work of prose., has type Book
2. Not without laughter (fb:m.04v86gl): has type Book Edition
3. Not Without Laughter (fb:m.04v86kd): has type Book Edition
4. Not Without Laughter (fb:m.04v86j3): has type Book Edition
5. Not Without Laughter (fb:m.04v86gb): has type Book Edition
6. Not Without Laughter (fb:m.028y12w): has type Book Edition
7. Not without laughter (fb:m.0c6ny2p): has type Book Edition
8. Not without Laughter (fb:m.04v86mc): has type Book Edition
9. Not Without Laughter (Thrift Edition) (fb:m.04v86lt): has type Book Edition
10. Not Without (fb:m.0drk54_): has type Musical Recording

[Assistant] I found the entity "Not Without Laughter" as a novel written by Langston Hughes with the identifier fb:m.0bm3n3. There are also several book editions of "Not Without Laughter" with different identifiers. Since the question is about the author who wrote "Not Without Laughter," I will now find the author of this book (fb:m.0bm3n3).

[Tool] Got no rows and 2 columns

[Assistant] The direct property fb:book.book_author did not return any results for the book entity fb:m.0bm3n3. I will try to find the author using the property fb:book.author.book_editions_published with one of the book editions of "Not Without Laughter" instead. I will use the book edition fb:m.04v86lt (Not Without Laughter Thrift Edition) to find the author.

[Tool]
Got 31 rows and 2 columns, showing the first 5 and last 5 rows below:
| author                       | authorLabel          |
| ---------------------------- | -------------------- |
| Langston Hughes (fb:m.0bv62) | Langston Hughes (ca) |
| Langston Hughes (fb:m.0bv62) | Langston Hughes (cs) |
| Langston Hughes (fb:m.0bv62) | Langston Hughes (da) |
| Langston Hughes (fb:m.0bv62) | Langston Hughes (de) |
| Langston Hughes (fb:m.0bv62) | Langston Hughes (en) |
| ...                          | ...                  |
| Langston Hughes (fb:m.0bv62) | لنگستون هیوز (fa)    |
| Langston Hughes (fb:m.0bv62) | 랭스턴 휴스 (ko)          |
| Langston Hughes (fb:m.0bv62) | ラングストン・ヒューズ (ja)     |
| Langston Hughes (fb:m.0bv62) | 朗斯頓·休斯 (zh-Hant)     |
| Langston Hughes (fb:m.0bv62) | 朗斯顿·休斯 (zh)          |

[Assistant] The author who wrote "Not Without Laughter" is Langston Hughes (fb:m.0bv62). Now I will search for properties related to inspiration or poetry for Langston Hughes to find how he became inspired to write poetry.

[Tool]
Top 10 property alternatives:
1. Influenced By (fb:influence.influence_node.influenced_by): part of Influence Node schema, links to type Influence Node
2. Influenced (fb:influence.influence_node.influenced): part of Influence Node schema, links to type Influence Node
3. Quotations (fb:people.person.quotations): links to type Quotation, part of Person schema
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Things named after this (fb:symbols.name_source.namesakes): part of Name source schema, links to type Namesake
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Albums (fb:music.artist.album): part of Musical Artist schema, links to type Musical Album
9. Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
10. Works Composed (fb:music.composer.compositions): links to type Composition, part of Composer schema

No other items found

[Assistant] The property "Influenced By" (fb:influence.influence_node.influenced_by) seems relevant to how Langston Hughes was inspired or influenced. I will query who or what influenced Langston Hughes.

[Tool]
Got 38 rows and 2 columns, showing the first 5 and last 5 rows below:
| influence                 | influenceLabel      |
| ------------------------- | ------------------- |
| Walt Whitman (fb:m.085gk) | Volts Vitmens (lv)  |
| Walt Whitman (fb:m.085gk) | Walter Whitman (id) |
| Walt Whitman (fb:m.085gk) | Walt Whitman (ca)   |
| Walt Whitman (fb:m.085gk) | Walt Whitman (cs)   |
| Walt Whitman (fb:m.085gk) | Walt Whitman (da)   |
| ...                       | ...                 |
| Walt Whitman (fb:m.085gk) | والت ویتمن (fa)     |
| Walt Whitman (fb:m.085gk) | 월트 휘트먼 (ko)         |
| Walt Whitman (fb:m.085gk) | ウォルト・ホイットマン (ja)    |
| Walt Whitman (fb:m.085gk) | 沃尔特·惠特曼 (zh)        |
| Walt Whitman (fb:m.085gk) | 華特·惠特曼 (zh-Hant)    |

[Assistant]
Langston Hughes was influenced by Walt Whitman (fb:m.085gk). This influence could be related to how he became inspired to write poetry.

I will now construct a SPARQL query that returns the author of "Not Without Laughter" and who influenced this author, which answers the question about how the author became inspired to write poetry.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer correctly identifies Langston Hughes as the author of "Not Without Laughter" and states that he was inspired to write poetry by Walt Whitman. The SPARQL query appropriately retrieves the author of the book edition and their influences, returning relevant results including Walt Whitman. The query follows the rules by returning identifiers and labels, and the answer is supported by the query results. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?movie WHERE {
  fb:m.08l257 fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?movie .
  ?movie fb:film.film.music fb:m.01hw6wq .
}

The movie with music by Trevor Rabin that Kim Richards was in is 'Race to Witch Mountain' (fb:m.04f76fm).

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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 movie with music by Trevor Rabin was Kim Richards in?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
For what movie, starring Ryan Gosling, did Maribeth Solomon write the music?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03m6_z ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03m6_z fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.music fb:m.012m29kp .
}

Using entities:
Maribeth Solomon, also known as Maribeth Soloman (fb:m.012m29kp): Maribeth Solomon is a Canadian film and television composer and ...eet Legal, E.N.G., Alfred Hitchcock Presents and Schitt's Creek., Maribeth Solomon is a composer, arranger, flautist and wife of Micky Erbe., has type Musical Artist
Ryan Gosling, also known as Trouble, Ryan Thomas Gosling, Ryan Thomas "Baby Goose" Gosling (fb:m.03m6_z): Ryan Thomas Gosling is a Canadian actor, film director, screenwr...rd. Also in 2007, he starred in the courtroom thriller Fracture., has type Celebrity

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Music by (fb:film.film.music): links to type Film music contributor, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
What movie was Kat Dennings in that had music by George S. Clinton?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0b0kzw ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0b0kzw fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.music fb:m.01r4hry .
}

Using entities:
George S. Clinton, also known as Geo, George Stanley Clinton Jr., George Clinton (fb:m.01r4hry): George Stanley Clinton is an American composer, songwriter, arra... with the Richard Kirk Award at the 2007 BMI Film and TV Awards., has type Film music contributor
Kat Dennings, also known as Katherine Litwack, Katherine V. Litwack, Katherine Dennings, Dennings, Kat (fb:m.0b0kzw): Katherine Litwack, known professionally as Kat Dennings, is an A... she stars alongside Beth Behrs in the CBS sitcom 2 Broke Girls., Kat Dennings is an American actress., has type Film actor

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Music by (fb:film.film.music): links to type Film music contributor, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
Which movie featured Chris Farley in it and George S. Clinton on the soundtrack?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.012801 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.012801 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.music fb:m.01r4hry .
}

Using entities:
Chris Farley, also known as Christopher Crosby "Chris" Farley, Christopher Crosby Farley (fb:m.012801): Christopher Crosby "Chris" Farley was an American comedian and a...97, Farley died as a result of a drug overdose at the age of 33., has type Film actor
George S. Clinton, also known as Geo, George Stanley Clinton Jr., George Clinton (fb:m.01r4hry): George Stanley Clinton is an American composer, songwriter, arra... with the Richard Kirk Award at the 2007 BMI Film and TV Awards., has type Film music contributor

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Music by (fb:film.film.music): links to type Film music contributor, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the examples, the pattern to find a movie with music by a certain composer and an actor in it is:
- Use the actor entity and property fb:film.actor.film to get the film performances.
- Use fb:film.performance.film to get the films from the performances.
- Use fb:film.film.music to filter films by the composer.

Next, I will search for the entity of Trevor Rabin to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Trevor Rabin, also known as Trevor Charles Rabin (fb:m.01hw6wq): Trevor Charles Rabin is a South African-born musician, songwrite...er. Trevor's songs are represented by Downtown Music Publishing., has type Composer
2. Trevor Rabin (fb:m.0f8hbly): has type Consumer product
3. Trevor Rabin (fb:m.0ch3qqc): Trevor Rabin is the debut studio album by South African musician...ased in 1977. Voiceprint Records re-released Beginnings in 2003., has type Musical Album
4. Trevor Rabin (fb:m.0nr_v9g): has type Musical Release
5. Trevor Rabin (fb:m.078763y)
6. Mark Mancina & Trevor Rabin, also known as Mancina, Mark & Rabin, Trevor, Trevor Rabin and Mark Mancina (fb:m.01qb56n): has type Musical Group
7. Trevor Rabin and Harry Gregson-Williams (fb:m.01nzwvg): has type Musical Group
8. Brighton Sheffield, also known as Brighton Milhouse Sheffield, Schmooe, Trevor (fb:m.0fm9qs): has type TV Character
9. Trevor, also known as Ellen DeGeneres Presents 'Trevor'   (fb:m.0462r7t): Trevor is a 1994 American short film written by James Lecesne, p...e for lesbian, gay, bisexual, transgender and questioning youth., has type Award-Winning Work
10. Trevor Fehrman, also known as Trevor, Trevor Gregory Fehrman (fb:m.088z5f): Trevor Gregory Fehrman is an American actor., has type Film actor

[Assistant] The entity for Trevor Rabin as a composer is fb:m.01hw6wq. Next, I will search for the entity of Kim Richards to get her identifier.

[Tool]
Top 10 entity alternatives:
1. Kim Richards, also known as Kimberly Richards, Kim Richards-Brinson, Kimberly "Kim" Richards (fb:m.08l257): Kimberly "Kim" Richards is an American actress. She is a former ... reality-television series The Real Housewives of Beverly Hills., has type TV Personality
2. Kim Richards (fb:m.0k226mc): has type Person
3. Kim Richards (fb:m.0_mwht3): Kim Richards is the mother of American Football player Aschan Richards., has type Person
4. Kim Richardson (fb:m.0v347q4): Kim Richardson is a Canadian singer and actress, who won two Jun...ards of Canada. Her third single, "I Want It", followed in 1987., Kim Richardson is a 1986 Juno Award winning singer for the award Most Promising Female Vocalist of the Year., Kim Richardson is a singer, songwriter and actress., has type Musical Artist
5. Kimberley Richardson, also known as Kimberley Richardson Lindley, Kimberly Richardson, Kim Richardson (fb:m.0bwb0qb): Kimberley Richardson is a set decorator., has type Film crewmember
6. Kim Richardson (fb:m.0v2xl0q): Kim Richardson is an actress., has type Film actor
7. Kimmi Richards (fb:m.0w0kdxp): Kimmi Richards is an actress., has type Film actor
8. Kimberley Richards (fb:m.0v2tcm1): Kimberley Richards is a Juno Award nominated artist., has type Award Nominee
9. Kim Richardson (fb:m.0ggj0gf): has type Film crewmember
10. Joely Richardson, also known as Joely Kim Richardson (fb:m.03f4w4): Joely Kim Richardson is an English actress, known for her role a...d the Hollywood film adaptation The Girl with the Dragon Tattoo., has type Film actor

[Assistant] The entity for Kim Richards as an actress is fb:m.08l257. Now I will construct a SPARQL query to find movies that have music by Trevor Rabin (fb:m.01hw6wq) and in which Kim Richards (fb:m.08l257) acted.

[Tool]
Got 1 row and 1 column:
| movie                                 |
| ------------------------------------- |
| Race to Witch Mountain (fb:m.04f76fm) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the movie featuring Kim Richards that has music by Trevor Rabin. It uses the appropriate properties to link Kim Richards to her film performances and then filters those films by the composer Trevor Rabin. The query returns the expected movie 'Race to Witch Mountain' with its identifier. The answer is accurate and complete based on the knowledge graph data. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?movie ?movieLabel WHERE {
  fb:m.04f1s6 fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?movie .
  ?movie fb:film.film.production_companies fb:m.011c89gh .
  OPTIONAL {
    ?movie rdfs:label ?movieLabel FILTER ( lang( ?movieLabel ) = "en" )
  }
}

The Logan Lerman movie produced by TSG Entertainment is "Percy Jackson: Sea of Monsters."

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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 Logan Lerman movie was produced by TSG Entertainment?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
What movies produced by TSG Entertainment has Jennifer Lawrence been in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02x0dzw ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02x0dzw fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.production_companies fb:m.011c89gh .
}

Using entities:
TSG Entertainment (fb:m.011c89gh): TSG Entertainment Finance LLC is a film financing entity which p...ugh several axe heads, similar to Odysseus from Homer's Odyssey., has type Production company
Jennifer Lawrence, also known as JLaw, Jennifer Shrader Lawrence, Jen, Actress Jennifer Lawrence. (fb:m.02x0dzw): Jennifer Shrader Lawrence is an American actress. Her first majo... a nomination for the Academy Award for Best Supporting Actress., has type Celebrity

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Production companies (fb:film.film.production_companies): links to type Production company, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
Which movie did James Frey write, that was produced by Largo Entertainment?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06w054 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06w054 fb:film.writer.film ?x .
  ?x fb:film.film.production_companies fb:m.09qm956 .
}

Using entities:
James Frey, also known as Pittacus Lore, James Christopher Frey (fb:m.06w054): James Christopher Frey is an American writer and the founder and...ated. His 2008 novel Bright Shiny Morning was also a bestseller., has type Author
Largo Entertainment (fb:m.09qm956): has type Production company

Using properties:
Production companies (fb:film.film.production_companies): links to type Production company, part of Film schema
Film writing credits (fb:film.writer.film): part of Film writer schema, links to type Film

Example 3:
Question:
What movie was produced by touchstone pictures and featured Matt Bomer as an actor?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03pmk3 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03pmk3 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.production_companies fb:m.020h2v .
}

Using entities:
Touchstone Pictures, also known as Touchstone Films, Touchstone Games (fb:m.020h2v): Touchstone Pictures is an American film production company and o...e Touchstone Pictures banner over seven years beginning in 2011., has type Production company
Matt Bomer, also known as Matthew Staton Bomer, Matthew S. Bomer (fb:m.03pmk3): Matthew Staton "Matt" Bomer is an American actor. He made his te...ed to the publicist Simon Halls with whom he has three children., has type TV Actor

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Production companies (fb:film.film.production_companies): links to type Production company, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the examples, I see that the approach is to find the entity for Logan Lerman and the entity for TSG Entertainment, then find films where Logan Lerman acted and that were produced by TSG Entertainment.

Step 1: Search for the entity of Logan Lerman.

[Tool]
Top 10 entity alternatives:
1. Logan Lerman, also known as Logan Wade Lerman, Loggie (fb:m.04f1s6): Logan Wade Lerman is an American actor, known for playing the ti...llflower, and had leading roles in the 2014 films Noah and Fury., has type Celebrity
2. Logan lerman 1164558045 (fb:m.05th08d)
3. Martin Short, Logan Lerman (fb:m.0n3h__g): has type TV Episode
4. Lindsey and Logan Lerman (fb:m.0d31hp6)
5. Lindsey and Logan Lerman (fb:m.0d31fdc)
6. Lucas, Lindsey and Logan Lerman (fb:m.0d31dr3)
7. Lucas, Lindsey and Logan Lerman (fb:m.0d31fyk)
8. Logan, Lindsey and Lucas Lerman (fb:m.0d31gvs)
9. Betty White, Stephen Dubner, Logan Lerman (fb:m.0dksw44): has type TV Episode
10. Emma Stone, Logan Lerman, Sam Smith (fb:m.0121_4ql): has type TV Episode

[Assistant] The entity for Logan Lerman is fb:m.04f1s6. Now I will search for the entity of TSG Entertainment.

[Tool]
Top 10 entity alternatives:
1. TSG Entertainment (fb:m.011c89gh): TSG Entertainment Finance LLC is a film financing entity which p...ugh several axe heads, similar to Odysseus from Homer's Odyssey., has type Production company
2. Entertainment (fb:m.02jjt): Entertainment is a form of activity that holds the attention and...ormances intended for thousands; and even for a global audience., has type TV Genre
3. Entertainment!, also known as Entertainment! / Yellow EP (fb:m.01kjpxp): Entertainment! is the debut album by English post-punk band Gang...k Media listed Entertainment! as eighth best album of the 1970s., has type Musical Album
4. Entertainment! (fb:m.01kjpw4): has type Consumer product
5. Entertainment, also known as It's Entertainment (fb:m.0wxq1k_): Entertainment is a 2014 Bollywood comedy film directed by duo Sa...8 August 2014 to positive reviews. The movie was declared a hit., has type Film
6. Entertainment! (fb:m.0316d48): has type Consumer product
7. ENTERTAINMENT (fb:m.0q77yzb): has type Consumer product
8. Entertainment (fb:m.0shb_8y): has type Musical Recording
9. Entertainment (fb:m.0fhsvt7): has type Consumer product
10. Entertainment (fb:m.038s8b1): has type Consumer product

[Assistant] The entity for TSG Entertainment is fb:m.011c89gh. Now I will write a SPARQL query to find movies where Logan Lerman acted and that were produced by TSG Entertainment.

[Tool]
Got 1 row and 2 columns:
| movie                                         | movieLabel                          |
| --------------------------------------------- | ----------------------------------- |
| Percy Jackson: Sea of Monsters (fb:m.0d31rqr) | Percy Jackson: Sea of Monsters (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies movies featuring Logan Lerman that were produced by TSG Entertainment. It uses the appropriate entities and properties, and the result matches the answer given: "Percy Jackson: Sea of Monsters." The query also optionally retrieves the movie label in English, which is helpful for readability. The query and answer are accurate and complete for the user's question.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?movie ?movieLabel WHERE {
  fb:m.07ldhs fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?movie .
  ?movie fb:film.film.other_crew ?crewGig .
  ?crewGig fb:film.film_crew_gig.crewmember fb:m.012xqq .
  OPTIONAL {
    ?movie rdfs:label ?movieLabel FILTER ( lang( ?movieLabel ) = 'en' )
  }
}

The movie that starred Taylor Lautner and had Kira Roessler as a crew member is 'The Twilight Saga: New Moon'.

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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] Which movie that starred Taylor Lautner was Kira Roessler a crew member on?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
What movie was Taylor Lautner in that Kira Roessler was a crew member of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.other_crew ?c .
  ?c fb:film.film_crew_gig.crewmember fb:m.012xqq .
}

Using entities:
Kira Roessler, also known as Kira, Roessler, Kira (fb:m.012xqq): Kira Roessler is an American bass guitarist, singer and Emmy Awa...best known for her membership in the punk rock group Black Flag., has type Composer
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Other crew (fb:film.film.other_crew): links to type Film crew gig, part of Film schema
Crewmember (fb:film.film_crew_gig.crewmember): links to type Film crewmember, part of Film crew gig schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
Which movie had Kira Roessler on its crew and Taylor Lautner as an actor?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.other_crew ?c .
  ?c fb:film.film_crew_gig.crewmember fb:m.012xqq .
}

Using entities:
Kira Roessler, also known as Kira, Roessler, Kira (fb:m.012xqq): Kira Roessler is an American bass guitarist, singer and Emmy Awa...best known for her membership in the punk rock group Black Flag., has type Composer
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Other crew (fb:film.film.other_crew): links to type Film crew gig, part of Film schema
Crewmember (fb:film.film_crew_gig.crewmember): links to type Film crewmember, part of Film crew gig schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
What film starred Taylor Lautner and Kira Roessler?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.other_crew ?c .
  ?c fb:film.film_crew_gig.crewmember fb:m.012xqq .
}

Using entities:
Kira Roessler, also known as Kira, Roessler, Kira (fb:m.012xqq): Kira Roessler is an American bass guitarist, singer and Emmy Awa...best known for her membership in the punk rock group Black Flag., has type Composer
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Other crew (fb:film.film.other_crew): links to type Film crew gig, part of Film schema
Crewmember (fb:film.film_crew_gig.crewmember): links to type Film crewmember, part of Film crew gig schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the examples, it seems the entities for Taylor Lautner and Kira Roessler are fb:m.07ldhs and fb:m.012xqq respectively. The properties used to link the movie with actor and crew member are fb:film.actor.film and fb:film.film.other_crew with fb:film.film_crew_gig.crewmember.

I will now execute a query based on this pattern to find the movie that starred Taylor Lautner and had Kira Roessler as a crew member.

[Tool]
Got 1 row and 2 columns:
| movie                                      | movieLabel                       |
| ------------------------------------------ | -------------------------------- |
| The Twilight Saga: New Moon (fb:m.05pdh86) | The Twilight Saga: New Moon (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the movie starring Taylor Lautner where Kira Roessler was a crew member. It uses appropriate properties to link Taylor Lautner to his film performances and then finds films where Kira Roessler was part of the crew. The query returns the movie identifier and its English label, which matches the answer given. The query follows the rules by returning identifiers and optional labels, and the answer is accurate and complete. No further refinement is needed.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?founder WHERE {
  fb:m.0bwfn fb:organization.organization.founders ?founder .
  ?founder fb:people.deceased_person.place_of_death fb:m.01qcx_ .
}

The founder of New York University who died in Astoria is Albert Gallatin.

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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] Who is the founder of New York University who died in Astoria?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
What University launched before 1892 did Chris Cuomo attend?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02pjpd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02pjpd fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:organization.organization.date_founded ?num .
  FILTER ( ?num < "1892" ^^ xsd:dateTime ) .
}

Using entities:
Andrew Cuomo, also known as Andrew Mark Cuomo, Gov. Andrew Cuomo (fb:m.02pjpd): Andrew Mark Cuomo is an American politician who is the 56th and ...erm as Attorney General of New York in 2006; serving until 2011., has type Politician

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Date founded (fb:organization.organization.date_founded): part of Organization schema, links to type Date/Time
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
In which city is Columbia University located in where honorary degrees were started?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01cf5 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01cf5 fb:location.location.containedby ?x .
  ?x fb:location.location.people_born_here ?c .
  ?c fb:type.object.type fb:education.honorary_degree .
}

Using entities:
Honorary Degree (fb:education.honorary_degree)
Barnard College, also known as Barnard College, main campus (fb:m.01cf5): Barnard College is a private women's liberal arts college in the...ning American women's colleges with an acceptance rate of 19.5%., has type College/University

Using properties:
Contained by (fb:location.location.containedby): part of Location schema, links to type Location
People born here (fb:location.location.people_born_here): part of Location schema, links to type Person
Type (fb:type.object.type): part of Object schema, links to type Type

Example 3:
Question:
Who was the person that passed away in New York City and created the federal reserve board?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02xmb ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02xmb fb:organization.organization.founders ?x .
  ?x fb:people.deceased_person.place_of_death fb:m.02_286 .
}

Using entities:
New York City, also known as New York, NY, New York, U.S.A., New Yrok City, NYC, Richmond County / New York city (fb:m.02_286): New York – often called New York City or the City of New York to...k is the most densely populated major city in the United States., has type City/Town/Village
Federal Reserve System, also known as Fed, Federal Reserve, The Fed (fb:m.02xmb): The Federal Reserve System is the central banking system of the ...nomy and releases numerous publications, such as the Beige Book., has type Government Agency

Using properties:
Founders (fb:organization.organization.founders): links to type Organization founder, part of Organization schema
Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location

[Assistant]
From the similar examples, I see that the property for founders of an organization is fb:organization.organization.founders and the property for place of death is fb:people.deceased_person.place_of_death.

Next, I will search for the entity "New York University" in the knowledge graph to get its identifier.

[Tool]
Top 10 entity alternatives:
1. New York University, also known as New York University, main campus, New York University, New York City, NYU (fb:m.0bwfn): New York University is a private, nonsectarian American research...eering members among its past and present graduates and faculty., has type College/University
2. New York University (fb:m.05wgs8x): has type Author
3. New York University Press (fb:m.02pnxch): New York University Press is a university press that is part of New York University., has type Publisher
4. University Gardens, also known as University Gardens, New York, Nassau County / University Gardens CDP (fb:m.0y3ct): University Gardens is a hamlet and census-designated place and p... a community in the western part of the Town of North Hempstead., has type US Census Designated Place
5. New York University Shanghai (fb:m.0j9n5bd): New York University Shanghai is jointly established by New York ...ependent registration status from China's Ministry of Education., has type College/University
6. NYU Violets, also known as New York University Violets (fb:m.02r119s): NYU Violets is the nickname of the sports teams and other compet... 23 varsity sports, as well as intramural sports and club teams.
7. University Heights, also known as University Heights, Bronx, University Heights, New York, University Heights, The Bronx (fb:m.07sxvt): University Heights is a neighborhood of the West Bronx in New Yo...perating along Jerome Avenue. ZIP codes include 10453 and 10468., has type Neighborhood
8. Syracuse University, New York (fb:m.06w_wr_): The Limeliters: ""There's A Meetin' Here Tonight,"" ""Wabash Can...me in the Room""   FINALE: ""Down By the Riverside"" (Everyone)., has type TV Episode
9. New York University Skopje (fb:m.0cpdy3h): has type College/University
10. New York University Archives (fb:m.0fp_hjn): The New York University Archives has served, since 1977, as the ...ional papers of New York University faculty; Special Collections

[Assistant] The entity for New York University is fb:m.0bwfn. Now I will search for the founders of New York University using the property fb:organization.organization.founders.

[Tool]
Got 2 rows and 3 columns:
| subject                          | property                                         | object                             |
| -------------------------------- | ------------------------------------------------ | ---------------------------------- |
| New York University (fb:m.0bwfn) | Founders (fb:organization.organization.founders) | Albert Gallatin (fb:m.01p369)      |
| New York University (fb:m.0bwfn) | Founders (fb:organization.organization.founders) | Mordecai Manuel Noah (fb:m.05m665) |

[Assistant] The founders of New York University are Albert Gallatin (fb:m.01p369) and Mordecai Manuel Noah (fb:m.05m665). Next, I will check the place of death for each founder to see who died in Astoria. I will start with Albert Gallatin.

[Tool]
Got 1 row and 3 columns:
| subject                       | property                                                  | object                |
| ----------------------------- | --------------------------------------------------------- | --------------------- |
| Albert Gallatin (fb:m.01p369) | Place of death (fb:people.deceased_person.place_of_death) | Astoria (fb:m.01qcx_) |

[Assistant] Albert Gallatin died in Astoria. For completeness, I will also check the place of death for Mordecai Manuel Noah.

[Tool]
Got 1 row and 3 columns:
| subject                            | property                                                  | object                 |
| ---------------------------------- | --------------------------------------------------------- | ---------------------- |
| Mordecai Manuel Noah (fb:m.05m665) | Place of death (fb:people.deceased_person.place_of_death) | New York (fb:m.059rby) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the founder of New York University who died in Astoria by linking the university to its founders and filtering those founders by their place of death being Astoria. The query returns the expected entity Albert Gallatin, which matches the human-readable answer. The query follows best practices by returning the identifier of the founder. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?coach ?coachName WHERE {
  fb:m.05tfm fb:american_football.football_team.current_head_coach ?coach .
  OPTIONAL {
    ?coach rdfs:label ?coachName FILTER ( lang( ?coachName ) = "en" )
  }
}
LIMIT 1

The head coach of the sports team whose fight song is "Renegade" (Pittsburgh Steelers) is Mike Tomlin.

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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 name of the head coach of the sports team whose fight song is "Renegade"?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
Who was the 2005 head coach for the team that uses "Renegade" as a fight song?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:sports.sports_team.fight_song fb:m.06c78r .
  ?c fb:american_football.football_team.historical_coaching_staff ?y .
  ?y fb:american_football.football_historical_coach_position.coach ?x .
  FILTER ( NOT EXISTS {
    ?y fb:american_football.football_historical_coach_position.from ?sk0
  }
  || EXISTS {
    ?y fb:american_football.football_historical_coach_position.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2005-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:american_football.football_historical_coach_position.to ?sk2
  }
  || EXISTS {
    ?y fb:american_football.football_historical_coach_position.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2005-01-01" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Renegade, also known as Renegade (St.Louis 2000) (fb:m.06c78r): "Renegade" is a 1979 hit song recorded by the American rock band...ad on his "Half-Penny, Two-Penny" on the Paradise Theatre album., has type Composition

Using properties:
Coach (fb:american_football.football_historical_coach_position.coach): part of American football historical coach position schema, links to type American football head coach
From (fb:american_football.football_historical_coach_position.from): part of American football historical coach position schema, links to type Date/Time
To (fb:american_football.football_historical_coach_position.to): part of American football historical coach position schema, links to type Date/Time
Historical coaching staff (fb:american_football.football_team.historical_coaching_staff): links to type American football historical coach position, part of American football team schema
Fight song (fb:sports.sports_team.fight_song): part of Sports Team schema, links to type Fight song

Example 2:
Question:
What is the home stadium of the sports team whose fight song is "Renegade"?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:sports.sports_team.fight_song fb:m.06c78r .
  ?c fb:sports.sports_team.venue ?y .
  ?y fb:sports.team_venue_relationship.venue ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.team_venue_relationship.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.team_venue_relationship.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.team_venue_relationship.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.team_venue_relationship.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Renegade, also known as Renegade (St.Louis 2000) (fb:m.06c78r): "Renegade" is a 1979 hit song recorded by the American rock band...ad on his "Half-Penny, Two-Penny" on the Paradise Theatre album., has type Composition

Using properties:
Fight song (fb:sports.sports_team.fight_song): part of Sports Team schema, links to type Fight song
Venue (fb:sports.sports_team.venue): links to type Team/venue relationship, part of Sports Team schema
From (fb:sports.team_venue_relationship.from): part of Team/venue relationship schema, links to type Date/Time
To (fb:sports.team_venue_relationship.to): part of Team/venue relationship schema, links to type Date/Time
Venue (fb:sports.team_venue_relationship.venue): part of Team/venue relationship schema, links to type Sports Facility

Example 3:
Question:
What are the team colors of the team with fight song Renegade?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:sports.sports_team.fight_song fb:m.06c78r .
  ?c fb:sports.sports_team.colors ?x .
}

Using entities:
Renegade, also known as Renegade (St.Louis 2000) (fb:m.06c78r): "Renegade" is a 1979 hit song recorded by the American rock band...ad on his "Half-Penny, Two-Penny" on the Paradise Theatre album., has type Composition

Using properties:
Colors (fb:sports.sports_team.colors): part of Sports Team schema, links to type Color
Fight song (fb:sports.sports_team.fight_song): part of Sports Team schema, links to type Fight song

[Assistant]
From the examples, I see that the fight song "Renegade" is identified as fb:m.06c78r in Freebase. The head coach can be found through the property fb:american_football.football_team.historical_coaching_staff and the coach position property fb:american_football.football_historical_coach_position.coach.

I will now write a query to find the current head coach of the sports team whose fight song is "Renegade".

[Tool] Got no rows and 2 columns

[Assistant] The query returned no results, which means there might not be a direct current head coach linked through the historical coaching staff without an end date. I will try a simpler query to just find the sports team with the fight song "Renegade" and then look for any coach related to that team.

[Tool]
Got 1 row and 2 columns:
| team                             | teamName                 |
| -------------------------------- | ------------------------ |
| Pittsburgh Steelers (fb:m.05tfm) | Pittsburgh Steelers (en) |

[Assistant] The sports team with the fight song "Renegade" is the Pittsburgh Steelers. Now I will search for the head coach of the Pittsburgh Steelers.

[Tool]
Got 1,001 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                                                            | object                                                                     |
| -------------------------------- | ------------------------------------------------------------------- | -------------------------------------------------------------------------- |
| Pittsburgh Steelers (fb:m.05tfm) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                    |
| Pittsburgh Steelers (fb:m.05tfm) | Key (fb:type.object.key)                                            | /authority/daylife/topic/07bW3PPcomcBN                                     |
| Pittsburgh Steelers (fb:m.05tfm) | Name (fb:type.object.name)                                          | Pitsburgas "Steelers" (lv)                                                 |
| Pittsburgh Steelers (fb:m.05tfm) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%28%4A%2A%33%28%48%31%3A_%33%2A%4A%44%31%32> |
| Pittsburgh Steelers (fb:m.05tfm) | Notable for (fb:common.topic.notable_for)                           | fb:g.1258jnh_h                                                             |
| Pittsburgh Steelers (fb:m.05tfm) | Notable types (fb:common.topic.notable_types)                       | Professional Sports Team (fb:m.044801x)                                    |
| Pittsburgh Steelers (fb:m.05tfm) | Description (fb:common.topic.description)                           | A Pittsburgh Steelers Pennsylvan...etű megnevezésük Steeler Nation. (hu)   |
| Pittsburgh Steelers (fb:m.05tfm) | Article (fb:common.topic.article)                                   | fb:m.05tfy                                                                 |
| Pittsburgh Steelers (fb:m.05tfm) | Also known as (fb:common.topic.alias)                               | Men of Steel (en)                                                          |
| Pittsburgh Steelers (fb:m.05tfm) | Image (fb:common.topic.image)                                       | Logo_PITTSBURGH.gif (fb:m.02kw1vr)                                         |
| ...                              | ...                                                                 | ...                                                                        |

[Tool]
Top 10 property alternatives:
1. Current head coach (fb:american_football.football_team.current_head_coach): links to type American football head coach, part of American football team schema
2. Coaches (fb:sports.sports_team.coaches): links to type Sports team coach tenure, part of Sports Team schema
3. Historical coaching staff (fb:american_football.football_team.historical_coaching_staff): links to type American football historical coach position, part of American football team schema
4. Sport (fb:sports.sports_team.sport): part of Sports Team schema, links to type Sport
5. Season Record (fb:sports.sports_team.season_record): links to type Sports Team Season Record, part of Sports Team schema
6. Sports Team Location (fb:sports.sports_team.location): links to type Sports Team Location, part of Sports Team schema
7. Roster (fb:sports.sports_team.roster): links to type Sports team roster, part of Sports Team schema
8. Position (fb:user.szaijan.fantasy_football.player.position): links to type Position, part of Player schema
9. Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
10. Team Mascot (fb:sports.sports_team.team_mascot): part of Sports Team schema, links to type Mascot

No other items found

[Assistant] The property "Current head coach" (fb:american_football.football_team.current_head_coach) seems to be the most direct way to find the head coach of the Pittsburgh Steelers. I will now query the current head coach of the Pittsburgh Steelers.

[Tool]
Got 1 row and 2 columns:
| coach                     | coachName        |
| ------------------------- | ---------------- |
| Mike Tomlin (fb:m.0c5f_j) | Mike Tomlin (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the current head coach of the Pittsburgh Steelers, whose fight song is "Renegade." The query uses the correct entity for the Pittsburgh Steelers and retrieves the current head coach along with the English label. The answer provided, Mike Tomlin, matches the query result and is accurate. No further refinement is needed.