PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?placeOfBirth ?placeLived WHERE {
  fb:m.0261x8t fb:people.person.place_of_birth ?placeOfBirth .
  OPTIONAL {
    fb:m.0261x8t fb:people.person.places_lived ?placeLivedNode .
    ?placeLivedNode fb:people.place_lived.location ?placeLived .
  }
}

Got 2 rows and 2 columns:
| placeOfBirth               | placeLived                 |
| -------------------------- | -------------------------- |
| Los Angeles (fb:m.030qb3t) | Los Angeles (fb:m.030qb3t) |
| Los Angeles (fb:m.030qb3t) | Calabasas (fb:m.0kkph)     |

Kim Kardashian was born in Los Angeles. She has also lived in Los Angeles and Calabasas.

[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] where did kim kardashian come from?

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

[Tool]
Example 1:
Question:
who was kim kardashian's first husband?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0261x8t ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0261x8t fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?y fb:people.marriage.type_of_union fb:m.04ztj .
  ?y fb:people.marriage.to ?sk0 .
}
ORDER BY xsd:datetime ( ?sk0 )
LIMIT 1

Using entities:
Kim Kardashian, also known as Kim, Kim West, Kimmie, Kim Kardashian-West, Kimberly Noel "Kim" Kardashian (fb:m.0261x8t): Kimberly "Kim" Kardashian West is an American television and soc...y television personality, with estimated earnings of $6 million., has type Celebrity
Marriage, also known as Matrimony, Wedlock (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., has type Religious Practice

Using properties:
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
To (fb:people.marriage.to): links to type Date/Time, part of Marriage schema
Type of union (fb:people.marriage.type_of_union): links to type Marriage/union type, part of Marriage schema
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

Example 2:
Question:
where did rihanna come from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06mt91 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06mt91 fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
}

Using entities:
Rihanna, also known as The Barbados Babe, Robyn Rihanna Fenty, Robyn Fenty, RiRi, New Queen of Pop (fb:m.06mt91): Robyn Rihanna Fenty, known professionally as Rihanna, is a Barba...ammy Awards, winning Best Rap/Sung Collaboration for "Umbrella"., has type Musical Artist

Using properties:
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location

Example 3:
Question:
where did rihanna come from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06mt91 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06mt91 fb:people.person.place_of_birth ?x .
}

Using entities:
Rihanna, also known as The Barbados Babe, Robyn Rihanna Fenty, Robyn Fenty, RiRi, New Queen of Pop (fb:m.06mt91): Robyn Rihanna Fenty, known professionally as Rihanna, is a Barba...ammy Awards, winning Best Rap/Sung Collaboration for "Umbrella"., has type Musical Artist

Using properties:
Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

[Assistant]
From the similar examples, we see that "where did [person] come from?" can be interpreted as the place of birth or places lived. For Kim Kardashian, we can check both properties: place of birth and places lived.

Step 1: Search for the entity Kim Kardashian in Freebase.

[Tool]
Top 10 entity alternatives:
1. Kim Kardashian, also known as Kim, Kim West, Kimmie, Kim Kardashian-West, Kimberly Noel "Kim" Kardashian (fb:m.0261x8t): Kimberly "Kim" Kardashian West is an American television and soc...y television personality, with estimated earnings of $6 million., has type Celebrity
2. Kim Kardashian, also known as Petite Ninja Warriors (fb:m.0745l_5): The models navigate their way through Los Angeles as they attend...e ladies to hang on wires. Model Jessica White is a guest judge., has type TV Episode
3. Kim Kardashian (fb:m.06xy8z0): John Caparulo, Jen Kirkman, Ross Mathews, has type TV Episode
4. Kim Kardashian (fb:m.0gg_zfd): has type TV Episode
5. Kim Kardashian (fb:m.0kc3ypk): has type TV Episode
6. Kim Kardashian (fb:m.0g05d33): has type TV Episode
7. Kim Kardashian (fb:m.06y25xd): has type TV Episode
8. Kim Kardashian (fb:m.0xtwmq5): has type Musical Recording
9. Kim Kardashian (fb:m.0tm0357): has type Musical Recording
10. Kim Kardashian (fb:m.0_hgg8w): has type TV Episode

[Assistant] The entity for Kim Kardashian is fb:m.0261x8t. Next, I will check the properties place of birth and places lived for this entity.

[Tool]
Top 10 property alternatives:
1. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
2. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
3. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
4. Profession (fb:people.person.profession): links to type Profession, part of Person schema
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Ethnicity (fb:people.person.ethnicity): links to type Ethnicity, part of Person schema
8. Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
9. Gender (fb:people.person.gender): part of Person schema, links to type Gender
10. Films appeared in (fb:film.person_or_entity_appearing_in_film.films): part of Person or entity appearing in film schema, links to type Personal film appearance

No other items found

[Tool]
Got 1 row and 1 column:
| placeOfBirth               |
| -------------------------- |
| Los Angeles (fb:m.030qb3t) |

[Tool]
Got 2 rows and 1 column:
| placeLived                 |
| -------------------------- |
| Los Angeles (fb:m.030qb3t) |
| Calabasas (fb:m.0kkph)     |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?case ?caseLabel WHERE {
  fb:m.07sz1 fb:law.court.legal_cases ?case .
  OPTIONAL {
    ?case rdfs:label ?caseLabel .
    FILTER ( lang( ?caseLabel ) = 'en' )
  }
}
LIMIT 100

Got 100 rows and 2 columns, showing the first 5 and last 5 rows below:
| case                                                                                | caseLabel                                                                |
| ----------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Burwell v. Hobby Lobby (fb:m.0102pqly)                                              | Burwell v. Hobby Lobby (en)                                              |
| Motor Vehicles Manufacturers Ass... Mutual Automobile Insurance Co. (fb:m.010f95gt) | Motor Vehicles Manufacturers Ass... Mutual Automobile Insurance Co. (en) |
| Schuette v. Coalition to Defend Affirmative Action (fb:m.010f9y51)                  | Schuette v. Coalition to Defend Affirmative Action (en)                  |
| Myers v. United States (fb:m.01_0hd)                                                | Myers v. United States (en)                                              |
| Riley v. California (fb:m.010hmy_z)                                                 | Riley v. California (en)                                                 |
| ...                                                                                | ...                                                                      |
| Bauer & Cie. v. O'Donnell (fb:m.020jrn)                                             | Bauer & Cie. v. O'Donnell (en)                                           |
| Sweatt v. Painter (fb:m.021wlq)                                                     | Sweatt v. Painter (en)                                                   |
| General Motors streetcar conspiracy (fb:m.02266f)                                   | General Motors streetcar conspiracy (en)                                 |
| New York Times Co. v. Sullivan (fb:m.022ct3)                                        | New York Times Co. v. Sullivan (en)                                      |
| Worcester v. Georgia (fb:m.022gtt)                                                  | Worcester v. Georgia (en)                                                |

The Supreme Court cases are represented by the legal cases linked to the Supreme Court of the United States (fb:m.07sz1) using the property fb:law.court.legal_cases. Here are some examples of Supreme Court cases with their labels: Burwell v. Hobby Lobby, Motor Vehicles Manufacturers Ass... Mutual Automobile Insurance Co., Schuette v. Coalition to Defend Affirmative Action, Myers v. United States, Riley v. California, Bauer & Cie. v. O'Donnell, Sweatt v. Painter, General Motors streetcar conspiracy, New York Times Co. v. Sullivan, Worcester v. Georgia. The query retrieves up to 100 such cases with their labels.

[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 are the supreme court cases?

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

[Tool]
Example 1:
Question:
who are the judges of the supreme court?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07sz1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07sz1 fb:law.court.judges ?y .
  ?y fb:law.judicial_tenure.judge ?x .
  FILTER ( NOT EXISTS {
    ?y fb:law.judicial_tenure.from_date ?sk0
  }
  || EXISTS {
    ?y fb:law.judicial_tenure.from_date ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:law.judicial_tenure.to_date ?sk2
  }
  || EXISTS {
    ?y fb:law.judicial_tenure.to_date ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Supreme Court of the United States, also known as United States Supreme Court, U.S. Supreme Court, us supreme court, SCOTUS (fb:m.07sz1): The Supreme Court of the United States is the highest federal co...efs that track with those philosophical or political categories., has type Court

Using properties:
Judges (fb:law.court.judges): links to type Judicial tenure, part of Court schema
From date (fb:law.judicial_tenure.from_date): part of Judicial tenure schema, links to type Date/Time
Judge (fb:law.judicial_tenure.judge): part of Judicial tenure schema, links to type Judge
To date (fb:law.judicial_tenure.to_date): part of Judicial tenure schema, links to type Date/Time

Example 2:
Question:
what is the jurisdiction of the us supreme court?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07sz1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07sz1 fb:law.court.jurisdiction ?x .
}

Using entities:
Supreme Court of the United States, also known as United States Supreme Court, U.S. Supreme Court, us supreme court, SCOTUS (fb:m.07sz1): The Supreme Court of the United States is the highest federal co...efs that track with those philosophical or political categories., has type Court

Using properties:
Jurisdiction (fb:law.court.jurisdiction): links to type Court jurisdiction area, part of Court schema

Example 3:
Question:
what is a judge in the supreme court called?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07sz1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07sz1 fb:government.governmental_body.offices_positions ?x .
}

Using entities:
Supreme Court of the United States, also known as United States Supreme Court, U.S. Supreme Court, us supreme court, SCOTUS (fb:m.07sz1): The Supreme Court of the United States is the highest federal co...efs that track with those philosophical or political categories., has type Court

Using properties:
Offices/Positions Within the Body (fb:government.governmental_body.offices_positions): links to type Government Office or Title, part of Governmental Body schema

[Assistant] The examples indicate that the Supreme Court of the United States is represented by the entity fb:m.07sz1 in Freebase. To find the Supreme Court cases, I need to identify the property that links the Supreme Court to its cases. I will start by searching for properties of the Supreme Court entity (fb:m.07sz1) that might relate to cases.

[Tool]
Top 10 property alternatives:
1. Legal cases (fb:law.court.legal_cases): links to type Legal case, part of Court schema
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Decision (fb:user.rca.default_domain.court.decision): links to type US Court Decision, part of Court schema
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Subject of (fb:common.topic.subject_of): part of Topic schema, links to type Topic
9. Jurisdiction (fb:law.court.jurisdiction): links to type Court jurisdiction area, part of Court schema
10. Jurisdiction (fb:government.governmental_body.jurisdiction): links to type Governmental Jurisdiction, part of Governmental Body schema

No other items found

[Assistant] The property "Legal cases" (fb:law.court.legal_cases) links the Supreme Court to its legal cases. I will now build a SPARQL query to retrieve the legal cases of the Supreme Court of the United States (fb:m.07sz1). I will also include optional labels for better readability.

[Tool]
Got 100 rows and 2 columns, showing the first 5 and last 5 rows below:
| case                                                                                | caseLabel                                                                |
| ----------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Burwell v. Hobby Lobby (fb:m.0102pqly)                                              | Burwell v. Hobby Lobby (en)                                              |
| Motor Vehicles Manufacturers Ass... Mutual Automobile Insurance Co. (fb:m.010f95gt) | Motor Vehicles Manufacturers Ass... Mutual Automobile Insurance Co. (en) |
| Schuette v. Coalition to Defend Affirmative Action (fb:m.010f9y51)                  | Schuette v. Coalition to Defend Affirmative Action (en)                  |
| Myers v. United States (fb:m.01_0hd)                                                | Myers v. United States (en)                                              |
| Riley v. California (fb:m.010hmy_z)                                                 | Riley v. California (en)                                                 |
| ...                                                                                | ...                                                                      |
| Bauer & Cie. v. O'Donnell (fb:m.020jrn)                                             | Bauer & Cie. v. O'Donnell (en)                                           |
| Sweatt v. Painter (fb:m.021wlq)                                                     | Sweatt v. Painter (en)                                                   |
| General Motors streetcar conspiracy (fb:m.02266f)                                   | General Motors streetcar conspiracy (en)                                 |
| New York Times Co. v. Sullivan (fb:m.022ct3)                                        | New York Times Co. v. Sullivan (en)                                      |
| Worcester v. Georgia (fb:m.022gtt)                                                  | Worcester v. Georgia (en)                                                |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?wife ?wifeName WHERE {
  FILTER ( ?wife != fb:m.018fzs ) fb:m.018fzs fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?wife .
  ?wife rdfs:label ?wifeName .
  FILTER ( lang( ?wifeName ) = 'en' )
}

Got 3 rows and 2 columns:
| wife                             | wifeName               |
| -------------------------------- | ---------------------- |
| Callista Gingrich (fb:m.05znhhq) | Callista Gingrich (en) |
| Marianne Ginther (fb:m.0661_f)   | Marianne Ginther (en)  |
| Jackie Battley (fb:m.0j1782w)    | Jackie Battley (en)    |

Newt Gingrich has three wives listed: Callista Gingrich, Marianne Ginther, and Jackie Battley.

[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 newt gingrich's wife's name?

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

[Tool]
Example 1:
Question:
where did newt gingrich attend college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.018fzs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.018fzs fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
Newt Gingrich, also known as Newt, Rep. Newt Gingrich, Rep. Gingrich, Newton "Newt" Leroy Gingrich, Newton Leroy "Newt" Gingrich (fb:m.018fzs): Newton Leroy "Newt" Gingrich is an American politician, historia...n 1997, and in 1998 passed the first balanced budget since 1969., has type U.S. Congressperson
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
who is martin luther king jr wife?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.051cc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.051cc fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?y fb:people.marriage.type_of_union fb:m.04ztj .
}

Using entities:
Marriage, also known as Matrimony, Wedlock (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., has type Religious Practice
Martin Luther King, Jr., also known as Michael King, MLK, M.L.K., Michael Luther King Jr., Michael King, Jr. (fb:m.051cc): Martin Luther King, Jr., was an American Baptist minister, activ...Peace Prize for combating racial inequality through nonviolence., Martin Luther King is a fictional character in the film Theme of the Traitor and the Hero., has type Author

Using properties:
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
Type of union (fb:people.marriage.type_of_union): links to type Marriage/union type, part of Marriage schema
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

Example 3:
Question:
what was lincoln's wife's name?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0gzh ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0gzh fb:people.person.spouse_s ?y .
  ?y fb:people.marriage.spouse ?x .
  ?x fb:people.person.gender fb:m.02zsn .
}

Using entities:
Female, also known as Women, Woman, Girl, Gal, Dame (fb:m.02zsn): Female (♀) is the sex of an organism, or a part of an organism, ...esis). Some organisms can reproduce both sexually and asexually., Female is the sex of an organism, or a part of an organism, that...female mammals, including female humans, have two X chromosomes., has type Literature Subject
Abraham Lincoln, also known as The Sage of Springfield, The Great Emancipator, The Illinois Baboon, The Jester, The Martyr President (fb:m.0gzh): Abraham Lincoln /ˈeɪbrəhæm ˈlɪŋkən/ was the 16th President of th...ew Republican Party, which had a statewide majority in Illinois., has type US President

Using properties:
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
Gender (fb:people.person.gender): part of Person schema, links to type Gender
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

[Assistant]
From the similar examples, it appears that the property for spouse or wife in Freebase is fb:people.person.spouse_s which links to a marriage entity, and then the marriage entity has a property fb:people.marriage.spouse which links to the spouse person entity.

Next, I will search for the entity of Newt Gingrich in Freebase to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Newt Gingrich, also known as Newt, Rep. Newt Gingrich, Rep. Gingrich, Newton "Newt" Leroy Gingrich, Newton Leroy "Newt" Gingrich (fb:m.018fzs): Newton Leroy "Newt" Gingrich is an American politician, historia...n 1997, and in 1998 passed the first balanced budget since 1969., has type U.S. Congressperson
2. Newt Gingrich (fb:m.05nfprq): TONIGHT: Author of "Never Call Retreat," Newt Gingrich! Plus, Stephen Colbert with "This Week in God"., has type TV Episode
3. Newt Gingrich (fb:m.05nfcb3): has type TV Episode
4. Newt Gingrich (fb:m.0dl0lms): Richard Shelby releases nominees, and Newt Gingrich discusses the radical Obama administration., has type TV Episode
5. Newt Gingrich (fb:m.06y3kvd): has type TV Episode
6. Newt Gingrich (fb:m.05nfprm): has type TV Episode
7. Newt Gingrich (fb:m.05nfcqx): has type TV Episode, Colin Quinn
8. Newt Gingrich, also known as Newt Gingrich, Jessalyn Gilsig (fb:m.0bmn7ll): has type TV Episode
9. Newt Gingrich (fb:m.0pwb1p): has type Musical Recording
10. Newt Gingrich (fb:m.0w81t1v): The media weighs presidential nominees for 2016, Sonia Sotomayor...s, and Newt Gingrich admits he guessed wrong about the election., has type TV Episode

[Assistant] The entity for Newt Gingrich is fb:m.018fzs. Based on the similar examples, I will now construct a SPARQL query to find Newt Gingrich's wife's name using the spouse property.

[Tool]
Got 3 rows and 2 columns:
| wife                             | wifeName               |
| -------------------------------- | ---------------------- |
| Callista Gingrich (fb:m.05znhhq) | Callista Gingrich (en) |
| Marianne Ginther (fb:m.0661_f)   | Marianne Ginther (en)  |
| Jackie Battley (fb:m.0j1782w)    | Jackie Battley (en)    |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?actor ?actorLabel WHERE {
  fb:m.02rrfzf fb:film.film.starring ?performance .
  ?performance fb:film.performance.actor ?actor .
  ?performance fb:film.performance.character fb:m.02ql50 .
  OPTIONAL {
    ?actor rdfs:label ?actorLabel FILTER ( lang( ?actorLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| actor                       | actorLabel        |
| --------------------------- | ----------------- |
| Alexa Vega (fb:m.02z7h0)    | Alexa Vega (en)   |
| Addisyn Fair (fb:m.0zfn9cs) | Addisyn Fair (en) |

The actors who played Carmen Cortez in Spy Kids are Alexa Vega and Addisyn Fair.

[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 played carmen cortez in spy kids?

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

[Tool]
Example 1:
Question:
who played juni in spy kids 4?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0ds67cb ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0ds67cb fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.02ql73 .
}

Using entities:
Juni Cortez (fb:m.02ql73): Junito Rocket Racer Rebel "Juni" Cortez is a fictional character... back in the organization so they could recover the Transmooker., has type Film character
Spy Kids: All the Time in the World, also known as Spy Kids 4: Armageddon, Spy Kids 4D, Spy Kids: All the Time in the World in 4D (fb:m.0ds67cb): Spy Kids: All the Time in the World is a 2011 Latino-American 4D...without the distribution of Walt Disney Studios Motion Pictures., has type Film

Using properties:
Performances (fb:film.film.starring): links to type Film performance, part of Film schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
Character (fb:film.performance.character): part of Film performance schema, links to type Film character

Example 2:
Question:
who plays sarah wittle in jumanji?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09w353 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09w353 fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.0b3x5zt .
}

Using entities:
Jumanji (fb:m.09w353): Jumanji is a 1995 American fantasy adventure film, directed by J...r, British Columbia. The film was released on December 15, 1995., has type Film
Sarah Whittle (fb:m.0b3x5zt): Sarah Whittle is a fictional character from the 1995 film Jumanji., has type Film character

Using properties:
Performances (fb:film.film.starring): links to type Film performance, part of Film schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
Character (fb:film.performance.character): part of Film performance schema, links to type Film character

Example 3:
Question:
where did carmen electra grow up?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01lbp ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01lbp fb:people.person.place_of_birth ?x .
}

Using entities:
Carmen Electra, also known as Carmen Elektra, Tara Leigh Patrick (fb:m.01lbp): Tara Leigh Patrick, better known by her stage name Carmen Electr..., and Disaster Movie. She hosted MTV Spring Break for some time., has type Celebrity

Using properties:
Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

[Assistant]
From the examples, the pattern to find the actor who played a character in a film is to find the film entity, the character entity, and then query the film's starring performances to find the actor linked to the character.

Step 1: I need to find the entity for the film "Spy Kids."
Step 2: I need to find the entity for the character "Carmen Cortez."
Step 3: Use the pattern from the example to find the actor who played Carmen Cortez in Spy Kids.

I will start by searching for the entity "Spy Kids."

[Tool]
Top 10 entity alternatives:
1. Spy Kids (fb:m.02rrfzf): Spy Kids is a 2001 American science fantasy family adventure fil...me a commercial success by grossing over $147 million worldwide., has type Award-Winning Work
2. Spy Kids (fb:m.01bn5b): The Spy Kids series consists of four American/Spanish family act...ong Hispanic heritage theme, as Rodriguez is of Mexican descent., has type Film series
3. Spy Kids (fb:m.030b0nq): has type Musical Release
4. Spy Kids, also known as Spy Kids Soundtrack (fb:m.01fq2m3): has type Soundtrack
5. Spy Kids (fb:m.07kxdbt): has type TV Episode
6. Spy Kids (fb:m.0h0s_m7): has type Fictional Character
7. Spy Kids (fb:m.08vs6c3)
8. Spy Kids (fb:m.08w6pz1)
9. Spy Kids (fb:m.08wbq60)
10. SPY KIDS (fb:m.08w7t7r)

[Assistant]
There are multiple entities for "Spy Kids." The first one (fb:m.02rrfzf) is described as a 2001 American science fantasy family adventure film, which matches the original Spy Kids movie. I will use this entity for the film "Spy Kids."

Next, I will search for the character "Carmen Cortez" to find the corresponding entity.

[Tool]
Top 10 entity alternatives:
1. Baby Carmen, also known as Carmen Cortez (fb:m.02ql50): Carmen Elizabeth Juanita Costa Brava Cortez is a fictional chara...had kept that knowledge to himself on her mother's instructions., has type Film character
2. Carmen (fb:m.09g6g): Carmen is an opera in four acts by the French composer Georges B... were critical, and the French public was generally indifferent., has type Opera
3. Cortez, also known as Montezuma County / Cortez city, Cortez, Colorado (fb:m.0rc25): The City of Cortez is a Home Rule Municipality that is the count... The city population was 8,482 at the 2010 United States Census., has type City/Town/Village
4. Carmen Ejogo, also known as Carmen, Carmen Elizabeth Ejogo (fb:m.07fnrq): Carmen Elizabeth Ejogo is a British actress and singer. She bega...e met with King and was given King's blessing for her portrayal., has type Film actor
5. Carmen, also known as Bizet's Carmen (fb:m.08tbx6): Carmen is a film directed by Francesco Rosi. It is a film versio...ngs, and shot scenes in some of the exact places that Doré drew., has type Award-Winning Work
6. Carmen, also known as Carlos Saura Dance Trilogy, Part 1: Carmen (fb:m.02pwmj7): Carmen is a 1983 Spanish film adaptation of the novel Carmen by ...sonal lives Bizet's tragic love affair, up to its lethal climax., has type Award-Winning Work
7. Carmen, also known as Alfalfa County / Carmen town, Carmen, Oklahoma (fb:m.0z3_c): Carmen is a town in Alfalfa County, Oklahoma, United States. The population was 355 at the 2010 census., has type City/Town/Village
8. Risë Stevens, also known as Rise Stevens, Risë Steenberg, Risë Gus Steenberg, Carmen (fb:m.0953c4): Risë Stevens was an American operatic mezzo-soprano., has type Musical Artist
9. Carmen, also known as Carmen (London Symphony Orchestra feat. conductor: Claudio Abbado) (fb:m.03_dwxc): has type Consumer product
10. Carmen, also known as Carmen - Cyc - (fb:m.067_f8b): Carmen is a novella by Prosper Mérimée, written and first publis... of dramatic works, including the famous opera by Georges Bizet., has type Book

[Assistant]
The entity fb:m.02ql50 corresponds to "Baby Carmen, also known as Carmen Cortez," and is described as a fictional character, which fits the character Carmen Cortez from Spy Kids.

Now I have the entities for the film "Spy Kids" (fb:m.02rrfzf) and the character "Carmen Cortez" (fb:m.02ql50).

Next, I will construct a SPARQL query to find the actor who played Carmen Cortez in the film Spy Kids using the pattern from the examples.

[Tool]
Got 2 rows and 1 column:
| actor                       |
| --------------------------- |
| Alexa Vega (fb:m.02z7h0)    |
| Addisyn Fair (fb:m.0zfn9cs) |

[Assistant]
The query returned two actors who played the character Carmen Cortez in Spy Kids: Alexa Vega and Addisyn Fair.

I will now provide the final answer with the actors' identifiers.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?formOfGovernment WHERE {
  fb:m.09c7w0 fb:location.country.form_of_government ?formOfGovernment .
}

Got 3 rows and 1 column:
| formOfGovernment                      |
| ------------------------------------- |
| Presidential system (fb:m.01d9r3)     |
| Constitutional republic (fb:m.0c9rw5) |
| Federal republic (fb:m.0j729)         |

The United States has the following types of democracy or form of government: Presidential system, Constitutional republic, and Federal republic.

[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 type of democracy is the united states?

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

[Tool]
Example 1:
Question:
what type of government is the us government?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09c7w0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09c7w0 fb:location.country.form_of_government ?x .
}

Using entities:
United States of America, also known as U.S. of A., USA, U.S.A., US, U.S. (fb:m.09c7w0): The United States of America, commonly referred to as the United...s emerged from 13 British colonies located along the East Coast., has type Country

Using properties:
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

Example 2:
Question:
what kind government does the us have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09c7w0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09c7w0 fb:location.country.form_of_government ?x .
}

Using entities:
United States of America, also known as U.S. of A., USA, U.S.A., US, U.S. (fb:m.09c7w0): The United States of America, commonly referred to as the United...s emerged from 13 British colonies located along the East Coast., has type Country

Using properties:
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

Example 3:
Question:
what kind of system of government does the united states have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09c7w0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09c7w0 fb:location.country.form_of_government ?x .
}

Using entities:
United States of America, also known as U.S. of A., USA, U.S.A., US, U.S. (fb:m.09c7w0): The United States of America, commonly referred to as the United...s emerged from 13 British colonies located along the East Coast., has type Country

Using properties:
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

[Assistant]
From the similar examples, it is clear that the property "form of government" (fb:location.country.form_of_government) is used to describe the type of government or democracy a country has. The entity for the United States of America is fb:m.09c7w0.

I will now write a SPARQL query to get the form of government of the United States using this property.

[Tool]
Got 3 rows and 1 column:
| formOfGovernment                      |
| ------------------------------------- |
| Presidential system (fb:m.01d9r3)     |
| Constitutional republic (fb:m.0c9rw5) |
| Federal republic (fb:m.0j729)         |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?institution ?institutionLabel WHERE {
  fb:m.025s5v9 fb:people.person.education ?education .
  ?education fb:education.education.institution ?institution .
  OPTIONAL {
    ?institution rdfs:label ?institutionLabel FILTER ( lang( ?institutionLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| institution                                        | institutionLabel                         |
| -------------------------------------------------- | ---------------------------------------- |
| Harvard Law School (fb:m.014zws)                   | Harvard Law School (en)                  |
| Princeton University (fb:m.05zl0)                  | Princeton University (en)                |
| Whitney M. Young Magnet High School (fb:m.09rs7mx) | Whitney M. Young Magnet High School (en) |

Michelle Obama graduated from Princeton University, Harvard Law School, and Whitney M. Young Magnet High School.

[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] where did michelle obama graduated from?

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

[Tool]
Example 1:
Question:
which college did obama graduated?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02mjmr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02mjmr fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?y fb:education.education.degree fb:m.014mlp .
}

Using entities:
Bachelor of Arts, also known as BA (Hons), Bachelor, BA, Artium Baccalaureus, AB (fb:m.014mlp): A Bachelor of Arts, from the Latin artium baccalaureus or baccal...l institutions set the preferred abbreviation for their degrees., has type Degree
Barack Obama, also known as President Obama, President Barack Obama, President Barack Hussein Obama II, President Barack H. Obama, Obama (fb:m.02mjmr): Barack Hussein Obama II is the 44th and current President of the...mocratic Party primaries to receive the presidential nomination., Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/; born Augus...ting the 13th District in the Illinois Senate from 1997 to 2004., has type US President

Using properties:
Degree (fb:education.education.degree): part of Education schema, links to type Degree
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
where did barack obama went to school?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02mjmr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02mjmr fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Barack Obama, also known as President Obama, President Barack Obama, President Barack Hussein Obama II, President Barack H. Obama, Obama (fb:m.02mjmr): Barack Hussein Obama II is the 44th and current President of the...mocratic Party primaries to receive the presidential nomination., Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/; born Augus...ting the 13th District in the Illinois Senate from 1997 to 2004., has type US President

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
where did barack obama attend school?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02mjmr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02mjmr fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Barack Obama, also known as President Obama, President Barack Obama, President Barack Hussein Obama II, President Barack H. Obama, Obama (fb:m.02mjmr): Barack Hussein Obama II is the 44th and current President of the...mocratic Party primaries to receive the presidential nomination., Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/; born Augus...ting the 13th District in the Illinois Senate from 1997 to 2004., has type US President

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

[Assistant]
From the similar examples, I see that the entity for Michelle Obama needs to be identified first, and then the property related to education or graduation institution should be used to find where she graduated from. The property used in the examples is fb:people.person.education and the institution is linked via fb:education.education.institution.

Next, I will search for the entity "Michelle Obama" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Michelle Obama, also known as Renaissance, The Closer, Mooch, Michelle Robinson Obama, Michelle Robinson (fb:m.025s5v9): Michelle LaVaughn Robinson Obama is an American lawyer and write...y awareness, nutrition, physical activity, and healthful eating., has type Celebrity
2. Michelle Obama (fb:m.05ng7x9): has type TV Episode
3. Michelle Obama (fb:m.0jtjc1l): Troops and their families face unique economic challenges, Steph...pundit, and Michelle Obama voices support for military families., has type TV Episode
4. Michelle Obama (fb:m.0kb0lr_): Jon recalls a conversation with Roger Ailes, examines the good a..., and talks to Michelle Obama about the importance of gardening., has type TV Episode
5. Michelle Obama, also known as First Lady Michelle Obama (fb:m.0lcl317): Oprah and the staff welcome first lady Michelle Obama. Then, Harpo takes on a challenge to go vegan for one week., has type TV Episode
6. Michelle Obama (fb:m.0j9tzr1): has type TV Episode
7. Michelle Obama (fb:m.0gyxqp0): Michelle Obama is a fictional character in the computer animated comedy TV series The Simpsons., has type Film character
8. Michelle Obama (fb:m.05ld044)
9. Michelle Obama (fb:m.03s87_g)
10. Michelle Obama, Brandy (fb:m.0w8brbs): has type TV Episode

[Assistant]
The most relevant entity for Michelle Obama is fb:m.025s5v9, which corresponds to Michelle LaVaughn Robinson Obama, the American lawyer and writer.

Next, I will query the education institution(s) where Michelle Obama graduated from using the property fb:people.person.education and the linked institution property fb:education.education.institution.

[Tool]
Got 3 rows and 2 columns:
| institution                                        | institutionLabel                         |
| -------------------------------------------------- | ---------------------------------------- |
| Harvard Law School (fb:m.014zws)                   | Harvard Law School (en)                  |
| Princeton University (fb:m.05zl0)                  | Princeton University (en)                |
| Whitney M. Young Magnet High School (fb:m.09rs7mx) | Whitney M. Young Magnet High School (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?location ?locationName WHERE {
  ?temple fb:architecture.building.building_function fb:m.03f34_ .
  ?temple fb:location.location.containedby ?location .
  OPTIONAL {
    ?location fb:type.object.name ?locationName
  }
}

Got 342 rows and 2 columns, showing the first 5 and last 5 rows below:
| location                        | locationName         |
| ------------------------------- | -------------------- |
| Ionian Islands (fb:m.01s2g1)    | De joniske øyer (no) |
| Ionian Islands (fb:m.01s2g1)    | Îles Ioniennes (fr)  |
| Ionian Islands (fb:m.01s2g1)    | Ilhas Jónicas (pt)   |
| Ionian Islands (fb:m.01s2g1)    | Illes Jòniques (ca)  |
| Ionian Islands (fb:m.01s2g1)    | Insulele Ionice (ro) |
| ...                             | ...                  |
| Acropolis of Athens (fb:m.0wjj) | أكروبوليس أثينا (ar) |
| Acropolis of Athens (fb:m.0wjj) | 아크로폴리스 (ko)          |
| Acropolis of Athens (fb:m.0wjj) | アテナイのアクロポリス (ja)     |
| Acropolis of Athens (fb:m.0wjj) | 雅典卫城 (zh)            |
| Acropolis of Athens (fb:m.0wjj) | 雅典衛城 (zh-Hant)       |

Greek temples were built in various locations, including the Ionian Islands. The query returns locations where buildings with the function Ancient Greek temple are contained.

[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] where were greek temples built?

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

[Tool]
Example 1:
Question:
where is the nation of greece located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.035qy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.035qy fb:location.location.containedby ?x .
}

Using entities:
Greece, also known as Hellas, Hellenic Republic (fb:m.035qy): Greece, officially the Hellenic Republic and known since ancient...ntainous, of which Mount Olympus is the highest peak at 2,917 m., has type Country

Using properties:
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 2:
Question:
where is the nation of greece located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.035qy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.035qy fb:base.locations.countries.continent ?x .
}

Using entities:
Greece, also known as Hellas, Hellenic Republic (fb:m.035qy): Greece, officially the Hellenic Republic and known since ancient...ntainous, of which Mount Olympus is the highest peak at 2,917 m., has type Country

Using properties:
Continent (fb:base.locations.countries.continent): links to type Continents, part of Countries schema

Example 3:
Question:
which island in greece?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.035qy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.035qy fb:base.aareas.schema.administrative_area.administrative_children ?x .
  ?x fb:common.topic.notable_types fb:m.01xxv5b .
}

Using entities:
Island Group, also known as archipelago, atoll (fb:m.01xxv5b): An island group is a chain or other grouping of islands.
Greece, also known as Hellas, Hellenic Republic (fb:m.035qy): Greece, officially the Hellenic Republic and known since ancient...ntainous, of which Mount Olympus is the highest peak at 2,917 m., has type Country

Using properties:
Administrative children (fb:base.aareas.schema.administrative_area.administrative_children): part of Administrative Area schema, links to type Administrative Area
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

[Assistant]
The examples found are related to locations and administrative areas of Greece but do not directly answer the question about where Greek temples were built.

Next, I will search for the entity "Greek temple" in the knowledge graph to identify its representation and related properties. This will help in constructing a query to find the locations where Greek temples were built.

[Tool]
Top 10 entity alternatives:
1. Greek Temple (fb:m.0zk2rpk): has type Composition
2. Greek Temple (fb:m.0rpk98): has type Musical Recording
3. Greek Temple (fb:m.0rpkbl): has type Musical Recording
4. Greek Temple (fb:m.0qcqzv8)
5. Greek Temple (fb:m.0qk2qwh)
6. Ancient Greek temple (fb:m.03f34_): Greek temples were structures built to house deity statues withi...tian tradition. Most Greek temples were oriented astronomically., has type Building function
7. Greek Temple II (fb:m.0rpkcp): has type Musical Recording
8. Greek Temple II (fb:m.0zh587g): has type Composition
9. Greek Temple II (fb:m.0qhwdpn)
10. Temples, Greek (fb:m.0bq2n64)

[Assistant]
I found an entity "Ancient Greek temple" (fb:m.03f34_) which is described as Greek temples being structures built to house deity statues and having a building function. This seems to be the most relevant entity for the question.

Next, I will search for properties of this entity that might indicate the location or place where these temples were built.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Description (fb:common.topic.description): part of Topic schema, links to type Text
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
4. Buildings (fb:architecture.building_function.buildings): part of Building function schema, links to type Building
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Article (fb:common.topic.article): links to type Document, part of Topic schema
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Descriptive name (fb:base.descriptive_names.names.descriptive_name): links to type Plural form, part of Names schema
9. Ellerdale ID (fb:user.avh.default_domain.ellerdale_topic.ellerdale_id): part of Ellerdale Topic schema, links to type Enumeration
10. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

No other items found

[Assistant]
The entity "Ancient Greek temple" (fb:m.03f34_) does not have a direct property related to location or place where they were built.

I will try a different approach by searching for properties related to "location" or "place" that might be associated with Greek temples in general.

[Tool]
Top 10 property alternatives:
1. Location (fb:base.localfood.produce_availability.location): links to type Food producing region, part of Produce availability schema
2. Location (fb:base.arthist.int_zm_nyek.helynev): part of Intézmények schema, links to type Helynevek
3. Location (fb:base.militaryinfiction.event_in_fiction.location): links to type Location in Fiction, part of Event in Fiction schema
4. Location (fb:user.robert.earthquakes.earthquake_nearest_location.location): part of Earthquake nearest location schema, links to type Earthquake epicenter
5. location (fb:base.cimis.weather_station.location): part of Weather Station schema, links to type Geocode
6. Location (fb:base.virology.biological_sample.location): part of Biological Sample schema, links to type Location
7. Location (fb:fictional_universe.event_in_fiction.location): links to type Fictional Setting, part of Event in fiction schema
8. Location (fb:base.litcentral.source_feature_taxa.location): part of Source feature taxa schema, links to type Focal location
9. Location (fb:user.alecf.car_sharing.vehicle_location_value.location): part of Vehicle Location Value schema, links to type Share Location
10. Location (fb:broadcast.content.location): part of Broadcast Content schema, links to type Location

[Assistant]
The search for properties related to "location" returned many results, but none seem directly related to buildings or temples.

I will now try to search for properties related to "building" or "structure" that might have a location or place associated with them, as Greek temples are buildings.

[Tool]
Top 10 property alternatives:
1. Building (fb:base.architecture2.building_floor.building): part of Building Floor schema, links to type Building2
2. Building (fb:base.vancouver.resident.building): links to type Residential Building, part of Building Resident schema
3. Building (fb:base.cdnpolitics.legislative_assembly.building): part of Legislative Assembly schema, links to type Building
4. Building (fb:religion.religious_organization.building): part of Religious Organization schema, links to type Structure
5. Building (fb:architecture.occupancy.building): part of Occupancy schema, links to type Building
6. In building (fb:user.hailey2009.default_domain.room.in_building): links to type Building rooms, part of Room schema
7. Building Complex (fb:architecture.building.building_complex): links to type Building complex, part of Building schema
8. Buildings (fb:user.cip22.default_domain.research_institute.building): part of Research Institute schema, links to type Building
9. Buildings (fb:user.arachnid.a_tale_in_the_desert_tech_tree.building_upgrade.buildings): part of Building Upgrade schema, links to type Building
10. Buildings (fb:base.engineering.building_element_category.buildings): part of Building element category schema, links to type Structural composition

[Assistant]
There are several properties related to buildings, but none explicitly mention location or place.

I will now try to find entities related to "Greek temple" and "location" together to see if there is a more specific entity or property that connects Greek temples to their locations.

[Tool]
Top 10 entity alternatives:
1. Greek Temple (fb:m.0zk2rpk): has type Composition
2. Greek Temple (fb:m.0rpk98): has type Musical Recording
3. Greek Temple (fb:m.0rpkbl): has type Musical Recording
4. Greek Temple (fb:m.0qcqzv8)
5. Greek Temple (fb:m.0qk2qwh)
6. Ancient Greek temple (fb:m.03f34_): Greek temples were structures built to house deity statues withi...tian tradition. Most Greek temples were oriented astronomically., has type Building function
7. Greek Temple II (fb:m.0rpkcp): has type Musical Recording
8. Location greek ancient (fb:m.0292tf9)
9. Greek Temple II (fb:m.0zh587g): has type Composition
10. Greek Temple II (fb:m.0qhwdpn)

[Assistant]
The search did not return a specific entity linking Greek temples to their locations. The best relevant entity remains "Ancient Greek temple" (fb:m.03f34_).

Since direct properties for location are not found for the Greek temple entity, I will try a different approach: I will search for places or locations that have a notable type or feature related to Greek temples. This might help find locations known for Greek temples.

I will search for locations with notable types related to Greek temples.

[Tool]
Top 10 entity alternatives:
1. Temple diagram with location of the pronaos highlighted (fb:m.042mdvn)
2. Greek Temple (fb:m.0zk2rpk): has type Composition
3. Greek Temple (fb:m.0rpk98): has type Musical Recording
4. Greek Temple (fb:m.0rpkbl): has type Musical Recording
5. Greek Temple (fb:m.0qcqzv8)
6. Greek Temple (fb:m.0qk2qwh)
7. Ancient Greek temple (fb:m.03f34_): Greek temples were structures built to house deity statues withi...tian tradition. Most Greek temples were oriented astronomically., has type Building function
8. Greek Temple II (fb:m.0rpkcp): has type Musical Recording
9. Location greek ancient (fb:m.0292tf9)
10. Greek Temple II (fb:m.0zh587g): has type Composition

[Assistant]
The search did not return a direct location entity with Greek temples.

I will now try to find locations or places that have a notable type of "Ancient Greek temple" or similar. This might help identify places known for Greek temples. I will search for entities of type "Ancient Greek temple" or related to it.

[Tool] Got no rows and 3 columns

[Assistant]
No locations or places have the notable type "Ancient Greek temple" directly.

I will now try to find places or locations that have buildings or structures related to Greek temples. I will search for places that have buildings with the type "Ancient Greek temple" or similar.

[Tool] Got no rows and 3 columns

[Assistant]
No direct buildings or places are linked to the entity "Ancient Greek temple" via the property "buildings."

I will now try to find places or locations that have a relationship with Greek temples by searching for triples with "Ancient Greek temple" as the subject and any property that might indicate a location or place.

[Tool]
Got 271 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                                                               | object                                                                           |
| ---------------------------------- | ---------------------------------------------------------------------- | -------------------------------------------------------------------------------- |
| Ancient Greek temple (fb:m.03f34_) | Type (fb:type.object.type)                                             | Topic (fb:common.topic)                                                          |
| Ancient Greek temple (fb:m.03f34_) | Key (fb:type.object.key)                                               | /en/greek_temple                                                                 |
| Ancient Greek temple (fb:m.03f34_) | Name (fb:type.object.name)                                             | Ancient Greek temple (en)                                                        |
| Ancient Greek temple (fb:m.03f34_) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage)    | <http://ar.wikipedia.org/wiki/%27%44%45%39%27%28%2F_%27%44%4A%48%46%27%46%4A%29> |
| Ancient Greek temple (fb:m.03f34_) | Notable for (fb:common.topic.notable_for)                              | fb:g.1255n9_v7                                                                   |
| Ancient Greek temple (fb:m.03f34_) | Notable types (fb:common.topic.notable_types)                          | Building function (fb:m.02b8yh9)                                                 |
| Ancient Greek temple (fb:m.03f34_) | Description (fb:common.topic.description)                              | Der griechische Tempel ist urspr...t über 20 Meter Höhe erreichten. (de)         |
| Ancient Greek temple (fb:m.03f34_) | Article (fb:common.topic.article)                                      | fb:m.03f355                                                                      |
| Ancient Greek temple (fb:m.03f34_) | Image (fb:common.topic.image)                                          | Athens Acropolis (fb:m.05pjk_s)                                                  |
| Ancient Greek temple (fb:m.03f34_) | Ellerdale ID (fb:user.avh.default_domain.ellerdale_topic.ellerdale_id) | 009c-4201                                                                        |
| ...                                | ...                                                                    | ...                                                                              |

[Assistant]
The entity "Ancient Greek temple" has an image property pointing to "Athens Acropolis" (fb:m.05pjk_s), which is a location known for Greek temples.

I will now explore the entity "Athens Acropolis" to see if it is linked to other Greek temples or if it can be considered a location where Greek temples were built.

[Tool]
Got 17 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                                                            | object                                                           |
| ------------------------------- | ------------------------------------------------------------------- | ---------------------------------------------------------------- |
| Athens Acropolis (fb:m.05pjk_s) | Type (fb:type.object.type)                                          | Content (fb:type.content)                                        |
| Athens Acropolis (fb:m.05pjk_s) | Key (fb:type.object.key)                                            | /wikipedia/images/commons_id/555441                              |
| Athens Acropolis (fb:m.05pjk_s) | Name (fb:type.object.name)                                          | Athens Acropolis (en)                                            |
| Athens Acropolis (fb:m.05pjk_s) | Blob_ID (fb:type.content.blob_id)                                   | eaf83449ce7ea697ad587174dc750be530fa7950d9973de18868161b61a61309 |
| Athens Acropolis (fb:m.05pjk_s) | Media_type (fb:type.content.media_type)                             | image/jpeg (fb:m.08x8)                                           |
| Athens Acropolis (fb:m.05pjk_s) | Length (fb:type.content.length)                                     | 1128644                                                          |
| Athens Acropolis (fb:m.05pjk_s) | Uploaded by user (fb:type.content.uploaded_by)                      | Freebase Data Team (fb:m.0220tm0)                                |
| Athens Acropolis (fb:m.05pjk_s) | License (fb:common.licensed_object.license)                         | GNU Free Documentation License (fb:m.034jd)                      |
| Athens Acropolis (fb:m.05pjk_s) | Appears In Topic Gallery (fb:common.image.appears_in_topic_gallery) | Ancient Greek temple (fb:m.03f34_)                               |
| Athens Acropolis (fb:m.05pjk_s) | Source (fb:type.content.source)                                     | fb:m.05pjl00                                                     |
| ...                             | ...                                                                 | ...                                                              |

[Assistant]
The Athens Acropolis entity is linked as an image for the Ancient Greek temple but does not have direct properties indicating it as a location for Greek temples.

I will now try to find places or locations that have a notable type related to temples in general, to see if Greek temples are included among them.

[Tool]
Top 10 entity alternatives:
1. Temple (fb:m.0cx45): A temple is a structure reserved for religious or spiritual acti...religions and is even used for time periods prior to the Romans., has type Type of place of worship
2. Temple, also known as Temple, Texas, Bell County / Temple city (fb:m.0_y1y): Temple is a city in Bell County, Texas, United States. In the 20...and proximity to larger cities. Jonathan Fox is also from Temple, has type City/Town/Village
3. Temple (fb:m.08g_yr): Temple indicates the side of the head behind the eyes. The bone ...rtion is the jaw. The brain has a lobe called the temporal lobe., has type Anatomical structure
4. Temple, also known as Temple, Paris (fb:m.09tbv6): The Temple was a medieval fortress in Paris, located in what is ...18th century, and then fully demolished by the mid 19th century., has type Location
5. Temple, also known as Temple, Georgia (fb:m.0rtpx): Temple is a city in Carroll and Haralson counties in the U.S. st... was 4,228 at the 2010 census, up from 2,383 at the 2000 census., has type City/Town/Village
6. Temple, also known as Cotton County / Temple town, Temple, Oklahoma (fb:m.0z559): Temple is a town in Cotton County, Oklahoma, United States. It i...ry, Temple Lea Houston, the youngest son of General Sam Houston., has type City/Town/Village
7. Temple (fb:m.01t38p): Temple is a station on Paris Métro Line 3. It opened on 19 Octob...plar fortification that once stood in the square named after it., has type Transit Stop
8. Temple, also known as Temple, New Hampshire (fb:m.0xhr3): Temple is a town in Hillsborough County, New Hampshire, United S...tate Reservation, and formerly home to Temple Mountain Ski Area., has type City/Town/Village
9. Temple, also known as Temple, Maine (fb:m.0tpsd): Temple is a town in Franklin County, Maine, United States. The t... of a public highway. The population was 528 at the 2010 census., has type City/Town/Village
10. Temple (fb:m.02mv1w): Temple is a thriller novel written by Australian author Matthew ... the release of such a book has never been officially confirmed., has type Work of Fiction

[Assistant]
The entity "Temple" (fb:m.0cx45) is described as a type of place of worship and seems to be a general entity for temples.

I will now try to find places or locations that have a notable type related to "Temple" (fb:m.0cx45) to see if Greek temples are included among them.

[Tool] Got no rows and 3 columns

[Assistant]
No places or locations have the notable type "Temple" directly.

I will now try to find places or locations that have a relationship with Greek temples by searching for triples with "Temple" or "Ancient Greek temple" as the object and any property that might indicate a location or place.

[Tool]
Got 35 rows and 3 columns, showing the first 10 rows below:
| subject                                       | property                                                            | object                             |
| --------------------------------------------- | ------------------------------------------------------------------- | ---------------------------------- |
| Topic (fb:common.topic)                       | Instance (fb:type.type.instance)                                    | Ancient Greek temple (fb:m.03f34_) |
| fb:g.1255d292j                                | notable object (fb:common.notable_for.notable_object)               | Ancient Greek temple (fb:m.03f34_) |
| fb:m.0gwycc7                                  | last_referenced_by (fb:dataworld.gardening_hint.last_referenced_by) | Ancient Greek temple (fb:m.03f34_) |
| Athens Acropolis (fb:m.05pjk_s)               | Appears In Topic Gallery (fb:common.image.appears_in_topic_gallery) | Ancient Greek temple (fb:m.03f34_) |
| Temple of Artemis (fb:m.0j4v_)                | Building Function (fb:architecture.building.building_function)      | Ancient Greek temple (fb:m.03f34_) |
| fb:g.1255d292j                                | fb:common.notable_for.object                                        | Ancient Greek temple (fb:m.03f34_) |
| Inanimate (fb:base.type_ontology.inanimate)   | Instance (fb:type.type.instance)                                    | Ancient Greek temple (fb:m.03f34_) |
| Project focus (fb:projects.project_focus)     | Instance (fb:type.type.instance)                                    | Ancient Greek temple (fb:m.03f34_) |
| Concept (fb:base.tagit.concept)               | Instance (fb:type.type.instance)                                    | Ancient Greek temple (fb:m.03f34_) |
| Man-made Thing (fb:base.tagit.man_made_thing) | Instance (fb:type.type.instance)                                    | Ancient Greek temple (fb:m.03f34_) |
| ...                                           | ...                                                                 | ...                                |

[Assistant]
I found that the "Temple of Artemis" (fb:m.0j4v_) has the building function of "Ancient Greek temple" (fb:m.03f34_). This indicates that specific temples are linked to the Ancient Greek temple type.

I will now explore the "Temple of Artemis" entity to see if it has a location property indicating where it was built.

[Tool]
Got 722 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                                            | object                                                                   |
| ------------------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Temple of Artemis (fb:m.0j4v_) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Temple of Artemis (fb:m.0j4v_) | Key (fb:type.object.key)                                            | /en/temple_of_artemis                                                    |
| Temple of Artemis (fb:m.0j4v_) | Name (fb:type.object.name)                                          | Artemīdas templis (lv)                                                   |
| Temple of Artemis (fb:m.0j4v_) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%47%4A%43%44_%22%31%2A%45%4A%33>           |
| Temple of Artemis (fb:m.0j4v_) | Notable for (fb:common.topic.notable_for)                           | fb:g.125ctnl54                                                           |
| Temple of Artemis (fb:m.0j4v_) | Notable types (fb:common.topic.notable_types)                       | Tourist attraction (fb:m.03yw861)                                        |
| Temple of Artemis (fb:m.0j4v_) | Description (fb:common.topic.description)                           | Artemīdas templis bija grieķu te...aču 268. gadā to izpostīja goti. (lv) |
| Temple of Artemis (fb:m.0j4v_) | Article (fb:common.topic.article)                                   | fb:m.0j4w9                                                               |
| Temple of Artemis (fb:m.0j4v_) | Also known as (fb:common.topic.alias)                               | Diana Tapınağı (tr)                                                      |
| Temple of Artemis (fb:m.0j4v_) | Contained by (fb:location.location.containedby)                     | Turkey (fb:m.01znc_)                                                     |
| ...                            | ...                                                                 | ...                                                                      |

[Assistant]
The "Temple of Artemis" has a property "Contained by" (fb:location.location.containedby) with the value "Turkey" (fb:m.01znc_). This indicates that the Temple of Artemis is located in Turkey.

This suggests that Greek temples were built in locations such as Turkey.

I will now write a SPARQL query to find locations where Greek temples (entities with building function Ancient Greek temple) were built, using the "Contained by" property or similar location properties.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| location                     | locationName         |
| ---------------------------- | -------------------- |
| Ionian Islands (fb:m.01s2g1) | De joniske øyer (no) |
| Ionian Islands (fb:m.01s2g1) | Îles Ioniennes (fr)  |
| Ionian Islands (fb:m.01s2g1) | Ilhas Jónicas (pt)   |
| Ionian Islands (fb:m.01s2g1) | Illes Jòniques (ca)  |
| Ionian Islands (fb:m.01s2g1) | Insulele Ionice (ro) |
| ...                          | ...                  |
| Ionian Islands (fb:m.01s2g1) | Joniska öarna (sv)   |
| Ionian Islands (fb:m.01s2g1) | Jónské ostrovy (cs)  |
| Ionian Islands (fb:m.01s2g1) | Jonski otoci (hr)    |
| Ionian Islands (fb:m.01s2g1) | Jón-szigetek (hu)    |
| Ionian Islands (fb:m.01s2g1) | Jooniansaaret (fi)   |

[Assistant]
I found that Greek temples (with building function Ancient Greek temple) were built in locations such as the Ionian Islands. The query results show the location IRIs and their names in various languages.

I will now finalize the answer with a SPARQL query that returns locations where Greek temples were built.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?timeZone WHERE {
  fb:m.09c17 fb:location.location.time_zones ?timeZone .
}

The knowledge graph provides the time zone of Bangalore, India as the India Time Zone. However, it does not provide the current time directly. The current time is dynamic and not stored in the knowledge graph, so I cannot provide the exact current time in Bangalore, India from this knowledge graph.

[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 current time in bangalore india?

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

[Tool]
Example 1:
Question:
what is the actual current local time now in uk?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ssc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ssc fb:location.location.time_zones ?x .
}

Using entities:
United Kingdom, also known as United Kingdom of Great Britain and Northern Ireland, United Kingdom of Great Britain and Ireland, United Kingdom of Great Britain, UK, U.K. (fb:m.07ssc): The United Kingdom of Great Britain and Northern Ireland, common...urth-largest in Europe and second-largest in the European Union., has type Country

Using properties:
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

Example 2:
Question:
what time zone is the uk in right now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ssc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ssc fb:location.location.time_zones ?x .
}

Using entities:
United Kingdom, also known as United Kingdom of Great Britain and Northern Ireland, United Kingdom of Great Britain and Ireland, United Kingdom of Great Britain, UK, U.K. (fb:m.07ssc): The United Kingdom of Great Britain and Northern Ireland, common...urth-largest in Europe and second-largest in the European Union., has type Country

Using properties:
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

Example 3:
Question:
what time zone is london in right now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04jpl ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04jpl fb:location.location.time_zones ?x .
}

Using entities:
London, also known as the (big) smoke, The Great Wen, Londres, London, England, Capital of Great Britain (fb:m.04jpl): London /ˈlʌndən/ is the capital and most populous city of Englan...est metropolitan area GDP in the world depending on measurement., has type City/Town/Village

Using properties:
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

[Assistant]
From the examples, it seems that the knowledge graph contains a property for time zones of locations but does not provide the current time directly. The property fb:location.location.time_zones can be used to find the time zone of a location like Bangalore, India. However, the current time is dynamic and typically not stored in knowledge graphs.

I will first search for the entity Bangalore in the knowledge graph to get its identifier. Then I will query its time zone.

[Tool]
Top 10 entity alternatives:
1. Bangalore, also known as Silicon Valley Of India, Garden City Of India, Bengalooru or Bengaluru (fb:m.09c17): Bangalore /bæŋɡəˈlɔːr/, officially known as Bengaluru, is the ca...ed administrative control of the city to the Maharaja of Mysore., has type Indian city
2. Bangalore (fb:m.0358g4q): has type Consumer product
3. Bangalore (fb:m.0dvy5kc): has type Musical Recording
4. Bangalore (fb:m.0qghx3): has type Musical Recording
5. Bangalore (fb:m.05kxz2r)
6. Bangalore (fb:m.0143ps3): has type Musical Recording
7. Bangalore (fb:m.0tpymn2): has type Musical Recording
8. Bangalore (fb:m.0skv7n6): has type Musical Recording
9. Bangalore (fb:m.0rjyvqr): has type Musical Recording
10. Bangalore (fb:m.01p7b33): has type Musical Album

[Assistant] The entity for Bangalore city in India is fb:m.09c17. Now I will query the time zone(s) of Bangalore using the property fb:location.location.time_zones.

[Tool]
Got 1 row and 1 column:
| timeZone                      |
| ----------------------------- |
| India Time Zone (fb:m.02k8gd) |

[Assistant] Bangalore is in the India Time Zone (fb:m.02k8gd). However, the knowledge graph does not provide the current time directly. It only provides the time zone information. Since the current time is dynamic and not stored in the knowledge graph, I cannot provide the exact current time in Bangalore, India from this knowledge graph. Would you like me to provide the time zone information instead?

[Tool] Stopped generation process