PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?color ?colorLabel WHERE {
  fb:m.03ksy fb:education.educational_institution.colors ?color .
  OPTIONAL {
    ?color rdfs:label ?colorLabel FILTER ( lang( ?colorLabel ) = 'en' )
  }
}

The school color of Harvard University, which publishes the Harvard Undergraduate Research Journal, is Crimson.

[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] find the school colors of the university that publishes a periodical called Harvard Undergraduate Research Journal?

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

[Tool]
Example 1:
Question:
where is the publisher of the periodical Harvard Undergraduate Research Journal located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:book.periodical_publisher.periodicals_published ?k .
  ?k fb:book.periodical_publisher_period.periodical fb:m.05szs45 .
  ?c fb:location.location.containedby ?x .
}

Using entities:
Harvard Undergraduate Research Journal (fb:m.05szs45): has type Journal

Using properties:
Periodicals Published (fb:book.periodical_publisher.periodicals_published): links to type Periodical Publisher Period, part of Periodical Publisher schema
Periodical (fb:book.periodical_publisher_period.periodical): part of Periodical Publisher Period schema, links to type Periodical
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 2:
Question:
What university was attended by Robert Frost and publishes the Harvard Undergraduate Research Journal?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06gq_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06gq_ fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:book.periodical_publisher.periodicals_published ?c .
  ?c fb:book.periodical_publisher_period.periodical fb:m.05szs45 .
}

Using entities:
Harvard Undergraduate Research Journal (fb:m.05szs45): has type Journal
Robert Frost, also known as Frost, Robert, Robert Lee Frost (fb:m.06gq_): Robert Lee Frost was an American poet. His work was initially pu...rks. On July 22, 1961, Frost was named Poet laureate of Vermont., has type Author

Using properties:
Periodicals Published (fb:book.periodical_publisher.periodicals_published): links to type Periodical Publisher Period, part of Periodical Publisher schema
Periodical (fb:book.periodical_publisher_period.periodical): part of Periodical Publisher Period schema, links to type Periodical
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:
What school publishes the Harvard Undergraduate Research Journal and is where Mark Zuckerberg went?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.086dny ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.086dny fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:book.periodical_publisher.periodicals_published ?c .
  ?c fb:book.periodical_publisher_period.periodical fb:m.05szs45 .
}

Using entities:
Harvard Undergraduate Research Journal (fb:m.05szs45): has type Journal
Mark Zuckerberg, also known as Mark Elliot Zuckerberg (fb:m.086dny): Mark Elliot Zuckerberg is an American computer programmer and In...upon their involvement during the development phase of Facebook., has type Organization leader

Using properties:
Periodicals Published (fb:book.periodical_publisher.periodicals_published): links to type Periodical Publisher Period, part of Periodical Publisher schema
Periodical (fb:book.periodical_publisher_period.periodical): part of Periodical Publisher Period schema, links to type Periodical
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 examples, it is clear that the Harvard Undergraduate Research Journal is represented by the entity fb:m.05szs45 in Freebase. The university that publishes this periodical can be found by looking for an institution that has this periodical in its "periodicals_published" property.

Next, I will search for the university that publishes the Harvard Undergraduate Research Journal using the entity fb:m.05szs45. Then I will look for the school colors of that university.

[Tool]
Got 1 row and 1 column:
| university                      |
| ------------------------------- |
| Harvard University (fb:m.03ksy) |

[Assistant]
The university that publishes the Harvard Undergraduate Research Journal is Harvard University (fb:m.03ksy).

Now, I will search for the school colors property of Harvard University.

[Tool]
Top 10 property alternatives:
1. Colors (fb:education.educational_institution.colors): part of Educational Institution schema, links to type Color
2. School type (fb:education.educational_institution.school_type): part of Educational Institution schema, links to type School category
3. Educational institution (fb:education.educational_institution_campus.educational_institution): part of Educational Institution Campus schema, links to type Educational Institution
4. Sports teams (fb:education.educational_institution.sports_teams): part of Educational Institution schema, links to type School sports team
5. Campuses (fb:education.educational_institution.campuses): links to type Educational Institution Campus, part of Educational Institution schema
6. Subsidiary Or Constituent Schools (fb:education.educational_institution.subsidiary_or_constituent_schools): part of Educational Institution schema, links to type Educational Institution
7. Students/graduates (fb:fictional_universe.school_in_fiction.students_graduates): links to type Fictional Character, part of School in fiction schema
8. Students/Graduates (fb:education.educational_institution.students_graduates): part of Educational Institution schema, links to type Education
9. Athletics brand (fb:education.educational_institution.athletics_brand): part of Educational Institution schema, links to type Athletics brand
10. Mascot (fb:education.educational_institution.mascot): part of Educational Institution schema, links to type School mascot

No other items found

[Assistant]
The property "Colors" (fb:education.educational_institution.colors) is the most relevant property for school colors of Harvard University.

I will now query the school colors of Harvard University using this property.

[Tool]
Got 1 row and 2 columns:
| color                 | colorLabel   |
| --------------------- | ------------ |
| Crimson (fb:m.01jnf1) | Crimson (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the school colors of Harvard University, which publishes the Harvard Undergraduate Research Journal. It retrieves the color entity and its English label, returning 'Crimson' as the school color. The query uses the correct entity for Harvard University and the appropriate property for school colors. The answer is accurate and complete based on the knowledge graph data. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
SELECT DISTINCT ?country ?countryLabel WHERE {
  ?country fb:location.location.containedby fb:m.0261m .
  ?country fb:location.location.time_zones fb:m.042g7t .
  ?country rdf:type fb:location.country .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( lang( ?countryLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| country                             | countryLabel                |
| ----------------------------------- | --------------------------- |
| British Virgin Islands (fb:m.0168t) | British Virgin Islands (en) |
| Netherlands Antilles (fb:m.05byy)   | Netherlands Antilles (en)   |

The countries or territories in the Caribbean that are in the Atlantic Time Zone are British Virgin Islands and Netherlands Antilles according to Freebase.

[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 countries are in the Atlantic Time Zone in the Caribbean?

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

[Tool]
Example 1:
Question:
What EU countries are in the Atlantic Time Zone?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0_6t_z8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0_6t_z8 fb:organization.membership_organization.members ?y .
  ?y fb:organization.organization_membership.member ?x .
  ?x fb:location.location.time_zones fb:m.042g7t .
}

Using entities:
Atlantic Time Zone (fb:m.042g7t): The Atlantic Time Zone is a geographical region that keeps stand...which has one hour added to make it only three hours behind GMT., has type Time Zone
European Union, also known as Union européenne, Unión Europea, European Union Member States, EU region, Europäischen Union (fb:m.0_6t_z8): The European Union is a politico-economic union of 28 member sta... basis of the EU, the Treaty of Lisbon, came into force in 2009., has type Membership organization

Using properties:
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema
Members (fb:organization.membership_organization.members): part of Membership organization schema, links to type Organization membership
Member (fb:organization.organization_membership.member): part of Organization membership schema, links to type Organization member

Example 2:
Question:
Where is the Caribbean located in the Eastern Time Zone?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0261m ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0261m fb:location.location.containedby ?x .
  ?x fb:location.location.time_zones fb:m.02hcv8 .
}

Using entities:
Caribbean, also known as carribean, West Indies, West Indian (fb:m.0261m): The Caribbean is a region that consists of the Caribbean Sea, it...s composed of five states, all of which were Dutch dependencies., has type Region
Eastern Time Zone, also known as Eastern Daylight Time, North American Eastern Time Zone, Eastern Standard Time Zone, Eastern Standard Time (fb:m.02hcv8): The Eastern Time Zone is a time zone encompassing 17 U.S. states... Southern parts of the zone do not observe daylight saving time., has type Time Zone

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

Example 3:
Question:
What geographic region contains the Central Time zone and the Caribbean region?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0261m ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0261m fb:location.location.containedby ?x .
  ?x fb:location.location.time_zones fb:m.02fqwt .
}

Using entities:
Caribbean, also known as carribean, West Indies, West Indian (fb:m.0261m): The Caribbean is a region that consists of the Caribbean Sea, it...s composed of five states, all of which were Dutch dependencies., has type Region
Central Time Zone, also known as Central Daylight Time, Central Standard Time, Central Standard Time Zone (fb:m.02fqwt): The Central Time Zone is a time zone in parts of Canada, the Uni... saving time, time in most of the zone is five hours behind GMT., has type Time Zone

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

[Assistant]
From the examples, we see that the Atlantic Time Zone and the Caribbean are entities in Freebase, and the property "time zones" (fb:location.location.time_zones) links locations to their time zones. Also, the property "contained by" (fb:location.location.containedby) can be used to check if a country is contained in the Caribbean region.

Next, I will search for the entity "Atlantic Time Zone" in Freebase to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Atlantic Time Zone (fb:m.042g7t): The Atlantic Time Zone is a geographical region that keeps stand...which has one hour added to make it only three hours behind GMT., has type Time Zone
2. Time Zone (fb:time.time_zone)
3. Time zone (fb:m.07llf): A time zone is a region that observes a uniform standard time fo...ones. This also creates a permanent daylight saving time effect., has type Literature Subject
4. Time Zone, also known as Timezone, Afrika Bambaataa & Timezone, Afrika Bambaataa presents Time Zone (fb:m.01n3ljy): Time Zone was an electro band headed by Afrika Bambaataa. Bambaataa worked with different musicians for each Time Zone project., has type Musical Group
5. Time Zone (fb:m.02nsj6r): A time zone is a region within which the time is always the same...ylight saving) times, should be treated as different time zones.
6. Time Zone, also known as Hi-Res Adventure #5: Time Zone (fb:m.035jym): Time Zone is a multi-disk graphical adventure game written and d...games of this magnitude ever released for home computer systems., has type Video game
7. Time Zone (fb:m.03jcc60): has type Consumer product
8. ZONE TIME (fb:m.0dy190c): has type Musical Recording
9. Time Zone (fb:m.014jyzp): has type Musical Recording
10. Timezone, also known as Time Zone (fb:m.01vc129): has type Musical Group

[Assistant] The Atlantic Time Zone entity in Freebase is fb:m.042g7t. Now, I will search for the entity "Caribbean" to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Caribbean, also known as carribean, West Indies, West Indian (fb:m.0261m): The Caribbean is a region that consists of the Caribbean Sea, it...s composed of five states, all of which were Dutch dependencies., has type Region
2. Caribbean food, also known as Caribbean, Caribbean cuisine (fb:m.01ypv): Caribbean cuisine is a fusion of African, Amerindian, European, ... and is also one of the signature dishes of St. Kitts and Nevis., has type Cuisine
3. Caribbean, also known as Caribbean Gold (fb:m.09z2vf3): Caribbean Gold is a 1952 American pirate film directed by Edward...s channel in the 1990s. The cinematography was by Lionel Lindon., Caribbean is a 1952 action adventure film directed by Edward Ludwig., has type Film
4. Caribbean (fb:m.04v21l1): has type Book Edition
5. CARIBBEAN (fb:m.0qcdnm_): has type Musical Recording
6. Caribbean (fb:m.02mnq1): The historical novel Caribbean, written by James A. Michener, de...book's map shows it as an island in the location of Saint Lucia., has type Book
7. CARIBBEAN (fb:m.0qddyrm): has type Musical Recording
8. Caribbean (fb:m.04v21g_): has type Book Edition
9. Caribbean (fb:m.01cvf9f): has type Musical Recording
10. CARIBBEAN (fb:m.0_hqhd9): has type Composition

[Assistant] The Caribbean entity in Freebase is fb:m.0261m. Now I will write a SPARQL query to find countries in the Caribbean region that have the Atlantic Time Zone. I will use the properties "contained by" (fb:location.location.containedby) to check if a country is in the Caribbean and "time zones" (fb:location.location.time_zones) to check if the country is in the Atlantic Time Zone.

[Tool]
Got 7 rows and 2 columns:
| country                             | countryLabel                |
| ----------------------------------- | --------------------------- |
| Saint Martin (Island) (fb:m.011hvn) | Saint Martin (Island) (en)  |
| Lesser Antilles (fb:m.0157g9)       | Lesser Antilles (en)        |
| British Virgin Islands (fb:m.0168t) | British Virgin Islands (en) |
| Antilles (fb:m.01l3lx)              | Antilles (en)               |
| Leeward Islands (fb:m.01pfly)       | Leeward Islands (en)        |
| Saint Thomas (fb:m.028y82)          | Saint Thomas (en)           |
| Netherlands Antilles (fb:m.05byy)   | Netherlands Antilles (en)   |

[Assistant] The query returned several entities in the Caribbean that are in the Atlantic Time Zone, but some of them are regions or island groups rather than countries. I will refine the query to only include entities that are of type "Country" or similar administrative entities. I will check the type of these entities first to filter accordingly.

[Tool]
Got 9 rows and 3 columns:
| subject                             | property | object                                                                  |
| ----------------------------------- | -------- | ----------------------------------------------------------------------- |
| Saint Martin (Island) (fb:m.011hvn) | rdf:type | Topic (fb:common.topic)                                                 |
| Saint Martin (Island) (fb:m.011hvn) | rdf:type | Non-Agent (fb:base.type_ontology.non_agent)                             |
| Saint Martin (Island) (fb:m.011hvn) | rdf:type | Abstract (fb:base.type_ontology.abstract)                               |
| Saint Martin (Island) (fb:m.011hvn) | rdf:type | Inanimate (fb:base.type_ontology.inanimate)                             |
| Saint Martin (Island) (fb:m.011hvn) | rdf:type | Physically Instantiable (fb:base.type_ontology.physically_instantiable) |
| Saint Martin (Island) (fb:m.011hvn) | rdf:type | Location (fb:location.location)                                         |
| Saint Martin (Island) (fb:m.011hvn) | rdf:type | Statistical region (fb:location.statistical_region)                     |
| Saint Martin (Island) (fb:m.011hvn) | rdf:type | Geographical Feature (fb:geography.geographical_feature)                |
| Saint Martin (Island) (fb:m.011hvn) | rdf:type | Island (fb:geography.island)                                            |

[Assistant] Saint Martin (Island) is typed as a Location, Statistical region, Geographical Feature, and Island, but not explicitly as a Country. I will check the type of another entity, British Virgin Islands.

[Tool]
Got 33 rows and 3 columns, showing the first 10 rows below:
| subject                             | property | object                                                          |
| ----------------------------------- | -------- | --------------------------------------------------------------- |
| British Virgin Islands (fb:m.0168t) | rdf:type | Topic (fb:common.topic)                                         |
| British Virgin Islands (fb:m.0168t) | rdf:type | Abstract (fb:base.type_ontology.abstract)                       |
| British Virgin Islands (fb:m.0168t) | rdf:type | Inanimate (fb:base.type_ontology.inanimate)                     |
| British Virgin Islands (fb:m.0168t) | rdf:type | Agent (fb:base.type_ontology.agent)                             |
| British Virgin Islands (fb:m.0168t) | rdf:type | Location (fb:location.location)                                 |
| British Virgin Islands (fb:m.0168t) | rdf:type | Statistical region (fb:location.statistical_region)             |
| British Virgin Islands (fb:m.0168t) | rdf:type | Dated location (fb:location.dated_location)                     |
| British Virgin Islands (fb:m.0168t) | rdf:type | Administrative Division (fb:location.administrative_division)   |
| British Virgin Islands (fb:m.0168t) | rdf:type | Literature Subject (fb:book.book_subject)                       |
| British Virgin Islands (fb:m.0168t) | rdf:type | Administrative Area (fb:base.aareas.schema.administrative_area) |
| ...                                 | ...      | ...                                                             |

[Assistant] British Virgin Islands is typed as an Administrative Division and Administrative Area, which is closer to a country or territory level. I will refine the query to include entities that are of type Administrative Division or similar.

[Tool]
Got 3 rows and 2 columns:
| country                             | countryLabel                |
| ----------------------------------- | --------------------------- |
| British Virgin Islands (fb:m.0168t) | British Virgin Islands (en) |
| Saint Thomas (fb:m.028y82)          | Saint Thomas (en)           |
| Netherlands Antilles (fb:m.05byy)   | Netherlands Antilles (en)   |

[Assistant] The refined query returned three entities that are administrative divisions in the Caribbean and in the Atlantic Time Zone: British Virgin Islands, Saint Thomas, and Netherlands Antilles. These are territories or islands rather than sovereign countries. I will now check if there are any sovereign countries in the Caribbean with the Atlantic Time Zone by including the type "Country" (fb:location.country) in the query.

[Tool]
Got 2 rows and 2 columns:
| country                             | countryLabel                |
| ----------------------------------- | --------------------------- |
| British Virgin Islands (fb:m.0168t) | British Virgin Islands (en) |
| Netherlands Antilles (fb:m.05byy)   | Netherlands Antilles (en)   |

[Assistant]
The query returned British Virgin Islands and Netherlands Antilles as countries in the Caribbean in the Atlantic Time Zone. However, British Virgin Islands and Netherlands Antilles are territories rather than fully sovereign countries. Saint Thomas was not included as a country.

I will now finalize the answer with these results.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies countries or territories in the Caribbean region that are in the Atlantic Time Zone. It uses appropriate properties and entities, and the results (British Virgin Islands and Netherlands Antilles) are consistent with the query constraints. The query also optionally retrieves English labels for better readability. The answer is complete and accurate based on the Freebase knowledge graph data.


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

Taylor Lautner appears in the thriller movie 'Abduction'.

[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] In which thriller movies does Taylor Lautner appear?

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

[Tool]
Example 1:
Question:
What thriller movies has Taylor Lautner starred in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:media_common.netflix_title.netflix_genres fb:m.01jfsb .
}

Using entities:
Thriller (fb:m.01jfsb): Thriller is a genre of literature, film, videogame stories and t...cessful examples of thrillers are the films of Alfred Hitchcock., has type TV Genre
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film
Netflix Genres (fb:media_common.netflix_title.netflix_genres): part of Netflix Title schema, links to type Netflix Genre

Example 2:
Question:
What thriller movie has Taylor Lautner been in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.genre fb:m.01jfsb .
}

Using entities:
Thriller (fb:m.01jfsb): Thriller is a genre of literature, film, videogame stories and t...cessful examples of thrillers are the films of Alfred Hitchcock., has type TV Genre
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Genres (fb:film.film.genre): links to type Film genre, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
What movies in the thriller genre have featured Taylor Lautner?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.genre fb:m.01jfsb .
}

Using entities:
Thriller (fb:m.01jfsb): Thriller is a genre of literature, film, videogame stories and t...cessful examples of thrillers are the films of Alfred Hitchcock., has type TV Genre
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Genres (fb:film.film.genre): links to type Film genre, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the examples, I see that Taylor Lautner is identified as fb:m.07ldhs and thriller genre is fb:m.01jfsb in Freebase. The property linking an actor to films is fb:film.actor.film, and the property linking a film to its genre is fb:film.film.genre.

I will now write a SPARQL query to find thriller movies in which Taylor Lautner appears using these entities and properties.

[Tool]
Got 1 row and 2 columns:
| movie                    | movieLabel     |
| ------------------------ | -------------- |
| Abduction (fb:m.0cmdl80) | Abduction (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies thriller movies featuring Taylor Lautner by linking his performances to films of the thriller genre. The query returns the expected result, 'Abduction', which is a thriller movie starring Taylor Lautner. The query uses appropriate properties and entities, and includes optional labels for readability. The answer is accurate and complete based on the knowledge graph data. No further refinement is necessary.


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?city WHERE {
  fb:m.0dq9wx fb:people.person.places_lived ?place_lived .
  ?place_lived fb:people.place_lived.location ?city .
  ?city fb:location.location.gnis_feature_id ?gnis_id .
  FILTER ( xsd:integer ( ?gnis_id ) < 1662328 ) .
}

Got 2 rows and 1 column:
| city                       |
| -------------------------- |
| San Francisco (fb:m.0d6lp) |
| Laguna Beach (fb:m.0r2gj)  |

Lauren Conrad lived in the cities San Francisco and Laguna Beach, which have GNIS feature IDs less than 1662328.

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

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

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

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

[User] Which cities with a  GNIS feature ID  less than 1662328 did Lauren Conrad live in?

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

[Tool]
Example 1:
Question:
What city does Ryan Lochte live in that has the GNIS feature ID greater than 282874?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0bfyrl ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0bfyrl fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
  FILTER ( NOT EXISTS {
    ?y fb:people.place_lived.end_date ?sk0
  }
  || EXISTS {
    ?y fb:people.place_lived.end_date ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:people.place_lived.start_date ?sk2
  }
  || EXISTS {
    ?y fb:people.place_lived.start_date ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) ?x fb:location.location.gnis_feature_id ?num .
  FILTER ( xsd:integer ( ?num ) > 282874 ) .
}

Using entities:
Ryan Lochte, also known as Ryan Steven Lochte, The Lochtenator, Reezy (fb:m.0bfyrl): Ryan Steven Lochte is an American competitive swimmer and an 11-...chte is also known for his dominance in the short course format., has type Olympic athlete

Using properties:
GNIS ID (fb:location.location.gnis_feature_id): links to type Enumeration, part of Location schema
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
End date (fb:people.place_lived.end_date): part of Place lived schema, links to type Date/Time
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location
Start date (fb:people.place_lived.start_date): part of Place lived schema, links to type Date/Time

Example 2:
Question:
In what locations with GNIS feature IDs greater than 455007 did Laura Ingalls Wilder live?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01bt87 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01bt87 fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
  ?x fb:location.location.gnis_feature_id ?num .
  FILTER ( xsd:integer ( ?num ) > 455007 ) .
}

Using entities:
Laura Ingalls Wilder, also known as Laura Elizabeth Ingalls (fb:m.01bt87): Laura Ingalls Wilder was an American writer, most notable as the...Laura Ingalls and Michael Landon as her father, Charles Ingalls., has type Author

Using properties:
GNIS ID (fb:location.location.gnis_feature_id): links to type Enumeration, part of Location schema
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 Laura Ingalls Wilder live, which is also the location GNIS feature ID which is less than 1265178?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01bt87 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01bt87 fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
  ?x fb:location.location.gnis_feature_id ?num .
  FILTER ( xsd:integer ( ?num ) < 1265178 ) .
}

Using entities:
Laura Ingalls Wilder, also known as Laura Elizabeth Ingalls (fb:m.01bt87): Laura Ingalls Wilder was an American writer, most notable as the...Laura Ingalls and Michael Landon as her father, Charles Ingalls., has type Author

Using properties:
GNIS ID (fb:location.location.gnis_feature_id): links to type Enumeration, part of Location schema
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

[Assistant]
From the similar examples, I see that the entity for a person can be found by searching their name, and the property for places lived is fb:people.person.places_lived. The location of the place lived is linked by fb:people.place_lived.location, and the GNIS feature ID is given by fb:location.location.gnis_feature_id. The query filters the GNIS feature ID by comparing it with the given number.

Next, I will search for the entity corresponding to "Lauren Conrad" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Lauren Conrad, also known as Lauren Katherine Conrad, L.C., Lauren Conrad (fb:m.0dq9wx): Lauren Katherine Tell is an American television personality, fas...carried through each subsequent season in which Conrad appeared., has type Celebrity
2. Lauren Conrad (fb:m.06xy91h): Actress and author Lauren Conrad on her new book "L.A Cabdy"; Roundtable discussion with Kevin Hart, Jo Koy and Jen Kirkman., has type TV Episode
3. Lauren Conrad (fb:m.0dkqb7n): Author of Sugar and Spice and Lauren Conrad Style the very busy ...edian John Caparulo, comedian Josh Wolf and comedian Jim Breuer., has type TV Episode
4. Lauren Conrad (fb:m.0klvt_w): Lucky magazine cover girl Lauren Conrad is here telling us all a...n Chris Franjola, comedian Sarah Colonna and comedian Ben Gleib., has type TV Episode
5. Lauren Conrad (fb:m.0klvzf7): John Caparulo, Arden Myrin, T.J. Miller., has type TV Episode
6. Lauren Conrad, also known as Lauren Conrad & Countess LuAnn (fb:m.0n5qc5d): Among other topics they discuss, the main topic of this episode ...Out called "Cleaning House" with Lauren Conrad & LuAnn deLeseps., has type TV Episode
7. Lauren Conrad (fb:m.0wc0lj7): has type TV Episode
8. Lauren Conrad (fb:m.0hn3bj_): has type Fictional Character
9. Lauren Conrad (fb:m.08vxdg3)
10. Lauren Conrad Beauty (fb:m.0n9k3gw): Lauren Conrad Beauty is a book written by Lauren Conrad and  Elise Loehnen., has type Book

[Assistant] The entity for Lauren Conrad as a celebrity is fb:m.0dq9wx. Now I will construct a SPARQL query to find the cities where Lauren Conrad lived that have a GNIS feature ID less than 1662328. I will use the properties fb:people.person.places_lived, fb:people.place_lived.location, and fb:location.location.gnis_feature_id.

[Tool]
Got 2 rows and 1 column:
| city                       |
| -------------------------- |
| San Francisco (fb:m.0d6lp) |
| Laguna Beach (fb:m.0r2gj)  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the cities where Lauren Conrad lived that have a GNIS feature ID less than 1662328. The query uses appropriate properties and filters the GNIS feature ID as requested. The answer matches the query result, listing San Francisco and Laguna Beach. The output is complete and accurate for the user's question.


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?film ?filmLabel WHERE {
  fb:m.07ldhs fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?film .
  ?film fb:film.film.netflix_id ?netflix_id .
  FILTER ( xsd:integer ( ?netflix_id ) > 70099113 ) .
  OPTIONAL {
    ?film rdfs:label ?filmLabel FILTER ( lang( ?filmLabel ) = "en" )
  }
}

Got 5 rows and 2 columns:
| film                                                     | filmLabel                                      |
| -------------------------------------------------------- | ---------------------------------------------- |
| The Twilight Saga: New Moon (fb:m.05pdh86)               | The Twilight Saga: New Moon (en)               |
| Valentine's Day (fb:m.06_wqk4)                           | Valentine's Day (en)                           |
| Eclipse (fb:m.075wx7_)                                   | Eclipse (en)                                   |
| The Twilight Saga: Breaking Dawn - Part 1 (fb:m.075wx89) | The Twilight Saga: Breaking Dawn - Part 1 (en) |
| Abduction (fb:m.0cmdl80)                                 | Abduction (en)                                 |

The movies with a Netflix ID over 70099113 that starred Taylor Lautner are: The Twilight Saga: New Moon, Valentine's Day, Eclipse, The Twilight Saga: Breaking Dawn - Part 1, and Abduction.

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

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

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

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

[User] Which movie with a netflix_id over 70099113 starred Taylor Lautner?

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

[Tool]
Example 1:
Question:
What film has a netflix ID less than 70099113 and stars Taylor Lautner?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.netflix_id ?num .
  FILTER ( xsd:integer ( ?num ) < 70099113 ) .
}

Using entities:
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Netflix ID (fb:film.film.netflix_id): links to type Enumeration, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
Which Taylor Lautner movie was added to Netflix after number 70099113?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.netflix_id ?num .
  FILTER ( xsd:integer ( ?num ) > 70099113 ) .
}

Using entities:
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Netflix ID (fb:film.film.netflix_id): links to type Enumeration, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
What Taylor Lautner movies have a film netflix_id lower than 70099113?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.netflix_id ?num .
  FILTER ( xsd:integer ( ?num ) < 70099113 ) .
}

Using entities:
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Netflix ID (fb:film.film.netflix_id): links to type Enumeration, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the similar examples, I see that Taylor Lautner is identified as fb:m.07ldhs in Freebase. The property for Netflix ID of a film is fb:film.film.netflix_id. The property linking an actor to a film performance is fb:film.actor.film, and the property linking a film performance to a film is fb:film.performance.film.

The query should find films where Taylor Lautner acted, and the film's Netflix ID is greater than 70099113.

I will now construct and execute the SPARQL query accordingly.

[Tool]
Got 5 rows and 2 columns:
| film                                                     | filmLabel                                      |
| -------------------------------------------------------- | ---------------------------------------------- |
| The Twilight Saga: New Moon (fb:m.05pdh86)               | The Twilight Saga: New Moon (en)               |
| Valentine's Day (fb:m.06_wqk4)                           | Valentine's Day (en)                           |
| Eclipse (fb:m.075wx7_)                                   | Eclipse (en)                                   |
| The Twilight Saga: Breaking Dawn - Part 1 (fb:m.075wx89) | The Twilight Saga: Breaking Dawn - Part 1 (en) |
| Abduction (fb:m.0cmdl80)                                 | Abduction (en)                                 |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves movies starring Taylor Lautner with a Netflix ID greater than 70099113. It returns the movie identifiers and their English labels, which matches the user's question. The answer lists all the movies found by the query, and the query uses appropriate properties and filters. The output is complete and accurate.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?religion WHERE {
  ?religion fb:religion.religion.notable_figures fb:m.0277gbz .
  fb:m.0jdd fb:location.statistical_region.religions ?relPercent .
  ?relPercent fb:location.religion_percentage.religion ?religion .
}

The religion in Afghanistan that has a notable figure named Syed Aqeel-ul-Gharavi is Shia Islam.

[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 religion in Afghanistan that has a notable figure named Syed Aqeel-ul-Gharavi?

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

[Tool]
Example 1:
Question:
The country that contains the Northern District has people that practice what religion?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.administrative_divisions fb:m.01vz6b .
  ?c fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}

Using entities:
Northern District, also known as Tsafon, Northern Region, Meẖoz H̱Eifa, H̱Efa, Mehoz Heifa (fb:m.01vz6b): The Northern District is one of Israel's six administrative dist... land area of 1,154 km², the Northern District covers 3,324 km²., has type Administrative Division

Using properties:
Administrative Divisions (fb:location.country.administrative_divisions): links to type Administrative Division, part of Country schema
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

Example 2:
Question:
What God is worshipped the religion that has a notable figure of Ali?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:religion.religion.notable_figures fb:m.024c1p .
  ?c fb:religion.religion.deities ?x .
}

Using entities:
Ali, also known as Commander of the Faithful, Amir al-Mu'minin (fb:m.024c1p): Ali ibn Abi Talib was the cousin and son-in-law of the Islamic p...lam at the age of 12, dedicating his life to the cause of Islam., has type Religious Leader

Using properties:
Deity Or Deities (fb:religion.religion.deities): part of Religion schema, links to type Deity
Notable Figures (fb:religion.religion.notable_figures): part of Religion schema, links to type Person

Example 3:
Question:
What major Russian religion has a notable religious figure named Umar?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06bnz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06bnz fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
  ?x fb:religion.religion.notable_figures fb:m.0kw7v .
}

Using entities:
Russia, also known as Russian Federation, Россия (fb:m.06bnz): Russia, also officially known as the Russian Federation, is a co...descendants, the medieval state of Rus arose in the 9th century., has type Country
Umar, also known as Al-Faruq, Caliph 'Umar I, Omar, Umar ibn al-Khattab, Umar Son of Al-Khattab (fb:m.0kw7v): Umar, also spelled Omar, was one of the most powerful and influe...tian ban on Jews and allowed them into Jerusalem and to worship., has type Noble person

Using properties:
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema
Notable Figures (fb:religion.religion.notable_figures): part of Religion schema, links to type Person

[Assistant]
The examples show that notable figures are linked to religions via the property fb:religion.religion.notable_figures. To answer the question, I need to find the entity for Syed Aqeel-ul-Gharavi and then find the religion that has this notable figure.

Step 1: Search for the entity "Syed Aqeel-ul-Gharavi" in the freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Syed Aqeel-ul-Gharavi (fb:m.0277gbz): Ayatullah Syed Aqeel-ul-Gharavi is an Indian Shia scholar and co...b by Ayatullah Sheikh Mohsen Araki for the Indian sub-continent., has type Religious Leader
2. Syed Aqeel-ul-Gharavi & Syed Kalbe Jawad Naqvi (fb:m.0bcy136)
3. Sayyed, also known as Master Saiyyed, Syed Babu, Syed, Sayeed Bhai, Sayeed (fb:m.0r64_my): has type Film actor, Sayyed is an actor.
4. Sayed Raju, also known as सय्यद भाई, Sayeed Raju, सयद राजू, सयद, सईद राजू (fb:m.0ywvhyr): Sayed Raju is a costume designer., has type Film costumer designer
5. Syed (fb:m.01119_nr): has type Film actor, Syed is an actor.
6. syed (fb:m.05dbfzp)
7. Syed (fb:m.0n9x0gl): has type TV Character
8. Syed (fb:m.04f70zh)
9. Syed Ali, also known as Ameer Syed, Syed Ameer Ali (fb:m.05w6g99): Syed Ameer Ali CIE was an Indian Muslim jurist hailing from the ...ran Petition and founding-member of the All India Muslim League., has type Politician
10. Zubir Said, also known as Zubir Syed, Z. Said, Said, Encik Zubir, Encik Zubir Said (fb:m.03_x1r): Zubir Said B.B.M. was a Singaporean composer originally from the...temporaries awoke a wave of national consciousness in the 1950s., has type Composer

[Assistant] I found an entity for Syed Aqeel-ul-Gharavi (fb:m.0277gbz), described as an Indian Shia scholar and religious leader. Next, I will check the religion associated with this notable figure using the property fb:religion.religion.notable_figures.

[Tool]
Got 1 row and 3 columns:
| subject                 | property                                               | object                               |
| ----------------------- | ------------------------------------------------------ | ------------------------------------ |
| Shia Islam (fb:m.06pq6) | Notable Figures (fb:religion.religion.notable_figures) | Syed Aqeel-ul-Gharavi (fb:m.0277gbz) |

[Assistant] The religion that has the notable figure Syed Aqeel-ul-Gharavi is Shia Islam (fb:m.06pq6). Now I will check if this religion is linked to Afghanistan to confirm the answer.

[Tool] Got no rows and 3 columns

[Assistant] There are no direct links from Shia Islam to Afghanistan via the property fb:location.statistical_region.religions. I will instead check if Afghanistan has any religions linked to it and see if Shia Islam is among them.

[Tool]
Top 10 entity alternatives:
1. Afghanistan, also known as Afganistan, Islamic Republic of Afghanistan (fb:m.0jdd): Afghanistan /æfˈɡænɨstæn/, officially the Islamic Republic of Af..., Hotaks, Durranis, and others have risen to form major empires., has type Country
2. Afghanistan (fb:m.08zqz11): has type Book Edition
3. Afghanistan (fb:m.0c6zpth): has type Book Edition
4. Afghanistan (fb:m.0tlpb02): has type Musical Recording
5. Afghanistan (fb:m.05dltvy): When Osama bin Laden is diagnosed with a weak heart, he finds th...Afghanistan. Meanwhile, Barbara gets her groove back in Jamaica., has type TV Episode
6. Afghanistan (fb:m.06gv6ms): Afghanistan is a book written by Margaret Thatcher., has type Book
7. Afghanistan (fb:m.0z48qgh): has type Musical Recording
8. Afghanistan (fb:m.0f3grg2): has type Musical Recording
9. AFGHANISTAN (fb:m.0_r54qc): AFGHANISTAN is an award-winning portfolio by Riccardo Venturi, d...ed to cloak themselves in the burqa, which covers even the eyes., has type Award-Winning Work
10. Afghanistan (fb:m.0zbdqqj): To escape his parents, Jim goes to Afghanistan to entertain the ...der heavy fire with Steve. Billy is hospitalized with Jim's mom., has type TV Episode

[Assistant] I found the entity for Afghanistan (fb:m.0jdd). Now I will check the religions linked to Afghanistan using the property fb:location.statistical_region.religions.

[Tool]
Got 2 rows and 3 columns:
| subject                 | property                                             | object       |
| ----------------------- | ---------------------------------------------------- | ------------ |
| Afghanistan (fb:m.0jdd) | Religions (fb:location.statistical_region.religions) | fb:m.0493b56 |
| Afghanistan (fb:m.0jdd) | Religions (fb:location.statistical_region.religions) | fb:m.0493b5d |

[Assistant] Afghanistan has two religions linked to it (fb:m.0493b56 and fb:m.0493b5d). I will check the labels of these two religions to see if Shia Islam is among them.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                                           | object                                                |
| ------------ | ------------------------------------------------------------------ | ----------------------------------------------------- |
| fb:m.0493b56 | Type (fb:type.object.type)                                         | Religion percentage (fb:location.religion_percentage) |
| fb:m.0493b56 | Religion (fb:location.religion_percentage.religion)                | Sunni Islam (fb:m.078tg)                              |
| fb:m.0493b56 | Percent of population (fb:location.religion_percentage.percentage) | 80.0                                                  |
| fb:m.0493b56 | rdf:type                                                           | Religion percentage (fb:location.religion_percentage) |

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                                           | object                                                |
| ------------ | ------------------------------------------------------------------ | ----------------------------------------------------- |
| fb:m.0493b5d | Type (fb:type.object.type)                                         | Religion percentage (fb:location.religion_percentage) |
| fb:m.0493b5d | Religion (fb:location.religion_percentage.religion)                | Shia Islam (fb:m.06pq6)                               |
| fb:m.0493b5d | Percent of population (fb:location.religion_percentage.percentage) | 19.0                                                  |
| fb:m.0493b5d | rdf:type                                                           | Religion percentage (fb:location.religion_percentage) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the religion associated with the notable figure Syed Aqeel-ul-Gharavi in Afghanistan as Shia Islam. The query uses the notable figure property to find the religion and cross-references the religion percentages in Afghanistan, ensuring relevance. The answer is accurate and complete based on the knowledge graph data. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?university WHERE {
  fb:m.0d3k14 fb:people.person.education ?education .
  ?education fb:education.education.institution ?university .
  ?university fb:book.periodical_publisher.periodicals_published ?periodical_publisher_period .
  ?periodical_publisher_period fb:book.periodical_publisher_period.periodical fb:m.026_bc .
}

Got 1 row and 1 column:
| university                        |
| --------------------------------- |
| Princeton University (fb:m.05zl0) |

The university attended by President John F. Kennedy that also publishes the periodical journal Princeton Tiger Magazine is Princeton University.

[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 University attended by President Kennedy also publishes the periodical journal Princeton Tiger Magazine?

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

[Tool]
Example 1:
Question:
What school is Woodrow Wilson's almamater and publishes Princeton Tiger Magazine?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.083q7 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.083q7 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:book.periodical_publisher.periodicals_published ?c .
  ?c fb:book.periodical_publisher_period.periodical fb:m.026_bc .
}

Using entities:
Princeton Tiger Magazine (fb:m.026_bc): Princeton Tiger or Tiger Magazine is a college humor magazine published by Princeton University undergraduates since 1882., has type Magazine
Woodrow Wilson, also known as The Schoolmaster, Wilson, Woodrow, Thomas Woodrow Wilson, The Professor, The Phrasemaker (fb:m.083q7): Thomas Woodrow Wilson was an American politician and academic wh...ve legislative policies unparalleled until the New Deal in 1933., has type US President

Using properties:
Periodicals Published (fb:book.periodical_publisher.periodicals_published): links to type Periodical Publisher Period, part of Periodical Publisher schema
Periodical (fb:book.periodical_publisher_period.periodical): part of Periodical Publisher Period schema, links to type Periodical
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:
What is the school that publishes the periodical journal "Harvard Undergraduate Research Journal" and that Robert F. Kennedy attended?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06hx2 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06hx2 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:book.periodical_publisher.periodicals_published ?c .
  ?c fb:book.periodical_publisher_period.periodical fb:m.05szs45 .
}

Using entities:
Harvard Undergraduate Research Journal (fb:m.05szs45): has type Journal
Robert F. Kennedy, also known as Senator Robert Kennedy of New York, Senator Robert Kennedy, Robert Kennedy, Robert Francis Kennedy, Robert Francis "Bobby" Kennedy (fb:m.06hx2): Robert Francis "Bobby" Kennedy, commonly known by his initials R...ed The Enemy Within, a book about corruption in organized labor., has type U.S. Congressperson

Using properties:
Periodicals Published (fb:book.periodical_publisher.periodicals_published): links to type Periodical Publisher Period, part of Periodical Publisher schema
Periodical (fb:book.periodical_publisher_period.periodical): part of Periodical Publisher Period schema, links to type Periodical
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:
What college publishes the Princeton Tiger Magazine and is where Michelle Obama graduated from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.025s5v9 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.025s5v9 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:book.periodical_publisher.periodicals_published ?c .
  ?c fb:book.periodical_publisher_period.periodical fb:m.026_bc .
}

Using entities:
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
Princeton Tiger Magazine (fb:m.026_bc): Princeton Tiger or Tiger Magazine is a college humor magazine published by Princeton University undergraduates since 1882., has type Magazine

Using properties:
Periodicals Published (fb:book.periodical_publisher.periodicals_published): links to type Periodical Publisher Period, part of Periodical Publisher schema
Periodical (fb:book.periodical_publisher_period.periodical): part of Periodical Publisher Period schema, links to type Periodical
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 a pattern to find the university attended by a person and that publishes a specific periodical journal. The example uses the properties:
- fb:people.person.education to get the education of the person,
- fb:education.education.institution to get the institution from the education,
- fb:book.periodical_publisher.periodicals_published to get the periodicals published by the institution,
- fb:book.periodical_publisher_period.periodical to filter the specific periodical.

I will now search for the entity corresponding to "President Kennedy" to identify which President Kennedy is meant and get his entity identifier.

[Tool]
Top 10 entity alternatives:
1. President Kennedy (fb:m.0q4f1f): has type Musical Recording
2. President Kennedy (fb:m.0sm8cp): has type Musical Recording
3. President Kennedy (fb:m.015yks_): has type Musical Recording
4. President Kennedy (fb:m.0_jtpk2): has type Composition
5. President Kennedy (fb:m.017kb9w): has type Musical Recording
6. President Kennedy (fb:m.0fq_s79): has type Musical Recording
7. President Kennedy (fb:m.0zc55f): has type Musical Recording
8. President Kennedy (fb:m.0fckp9b): has type Musical Recording
9. President Kennedy (fb:m.0zj_l00): has type Composition
10. President Kennedy (fb:m.01399t1p)

[Assistant] The search results for "President Kennedy" mostly returned musical recordings and compositions, not the person. I will try searching for "John F. Kennedy" who is the most well-known President Kennedy.

[Tool]
Top 10 entity alternatives:
1. John F. Kennedy, also known as President John F. Kennedy  , John F. (John Fitzgerald) Kennedy, John Kennedy, Johnny, President John F Kennedy (fb:m.0d3k14): John Fitzgerald Kennedy (May 29, 1917 – November 22, 1963), also...ican hopes and aspirations to every new generation of Americans., John Fitzgerald Kennedy, commonly known as Jack Kennedy or by hi...the first person born in the 20th century to serve as president., has type US President
2.   John F. Kennedy, also known as John F. Kennedy, President John F. Kennedy, John F Kennedy (fb:m.05kg3b2): John F. Kennedy is a fictional representation of President John F. Kennedy from 2000 drama film Thirteen Days., John F. Kennedy is a fictional character from the 1993 film J.F.K.: Reckless Youth., John F. Kennedy is a fictional character from the 2001 film The Women of Camelot., President John F. Kennedy is a fictional character from the 2013 film Parkland., President Kennedy is a fictional character from Transformers: Dark of the Moon., John F. Kennedy is a fictional character from the 2002 film Power and Beauty., John F. Kennedy is a fictional character from the 1998 film The Island, The fictional representation of the U.S President John F. Kennedy., John F.Kennedy is a fictional character from the 1966 film Since., has type Film character
3. John F Kennedy (fb:m.0761b2c): has type School
4. John F Kennedy (fb:m.0y9x202): has type Musical Recording
5. John F. Kennedy (fb:m.0_vj4yk): John F. Kennedy is an award-winning photo by Warren K. Leffler., has type Award-Winning Work
6. John F. Kennedy (fb:m.059vwvb): "John F. Kennedy" (1963) is a painting by American artist Elaine de Kooning., has type Artwork
7. John F. Kennedy (fb:m.07618sw): has type School
8. John F Kennedy (fb:m.07609qy): has type School
9. John F Kennedy (fb:m.076215t): has type School
10. John F Kennedy (fb:m.07659h7): has type School

[Assistant] The entity fb:m.0d3k14 corresponds to John F. Kennedy, the US President. Next, I will find the entity for the Princeton Tiger Magazine.

[Tool]
Top 10 entity alternatives:
1. Princeton Tiger Magazine (fb:m.026_bc): Princeton Tiger or Tiger Magazine is a college humor magazine published by Princeton University undergraduates since 1882., has type Magazine
2. Princeton Tiger (fb:m.0jk99q5): has type School mascot
3. Princeton Tigers men's basketball, also known as Princeton University Tigers Mens Basketball, Princeton Basketball, Princeton University Tigers Men's Basketball, Princeton University Tigers Basketball, Princeton University Mens Basketball (fb:m.0bmh27j): The Princeton Tigers men's basketball team is the intercollegiat...rican recognitions. Bill Bradley is the only three-time honoree., has type School sports team
4. Princeton University Tigertones, also known as Princeton Tigertones (fb:m.01rsq06): The Princeton Tigertones are an internationally-known all-male c... including President Barack Obama and First Lady Michelle Obama., has type Musical Group
5. Princeton Tigers (fb:m.080gzr5): The Princeton Tigers are the athletic teams of Princeton Univers...ue team to win the Division I NCAA Championship in field hockey.
6. Princeton Rugby, also known as Princeton Tigers (fb:m.080q5lq): The Princeton University Rugby Football Club competes in the Ivy...gue in Division I-AA of USA Rugby's intercollegiate competition.
7. The Princeton Tiger (fb:m.0dnklrr): has type Musical Recording
8. The Princeton Tiger (fb:m.0zlv_n2): has type Composition
9. Tiger Rag Magazine (fb:m.0g9xynk): Tiger Rag Magazine is a publication and website in Baton Rouge, ...opinion on teams' quality of play and administrators' decisions.
10. Tiger Men's Magazine (fb:m.0gxz6zc): Tiger was an American men's magazine that featured photographs o...of an Airline Stewardess" and "How to Make Out at a Ski-Resort."

[Assistant] The entity fb:m.026_bc corresponds to Princeton Tiger Magazine. Now I will construct a SPARQL query to find the university attended by John F. Kennedy that also publishes the Princeton Tiger Magazine.

[Tool]
Got 1 row and 1 column:
| university                        |
| --------------------------------- |
| Princeton University (fb:m.05zl0) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies Princeton University as the university attended by President John F. Kennedy that also publishes the Princeton Tiger Magazine. It uses appropriate properties to link Kennedy's education institution and the periodical publisher of the magazine. The query returns the university's identifier, fulfilling the requirement to return actual IRIs. The answer is accurate and complete based on the knowledge graph data.