PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?placeOfBirth ?placeOfBirthLabel WHERE {
  fb:m.04s9n fb:people.person.place_of_birth ?placeOfBirth .
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel .
    FILTER ( lang( ?placeOfBirthLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| placeOfBirth       | placeOfBirthLabel |
| ------------------ | ----------------- |
| Mecca (fb:m.058wp) | Mecca (en)        |

The prophet Mohammed was from Mecca.

[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 was the prophet mohammed from?

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

[Tool]
Example 1:
Question:
what continent do the falkland islands belong to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02wmy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02wmy fb:location.location.containedby ?x .
  ?x fb:common.topic.notable_types fb:m.01mh .
}

Using entities:
Continent (fb:m.01mh): A continent is a large land mass, defined mostly by conventional...but closely related to tectonic plates within the earth's crust.
Falkland Islands, also known as Islas Malvinas (fb:m.02wmy): The Falkland Islands are an archipelago in the South Atlantic Oc...Other ethnicities include French, Gibraltarian and Scandinavian., has type Country

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 2:
Question:
what did randy jackson play in journey?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.015cqh ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.015cqh fb:music.musical_group.member ?y .
  ?y fb:music.group_membership.role ?x .
  ?y fb:music.group_membership.member fb:m.02yygk .
}

Using entities:
Journey (fb:m.015cqh): Journey is an American rock band that formed in San Francisco in...gold albums, eight multi-platinum albums, and one diamond album., has type Musical Artist
Randy Jackson, also known as Randy D. Jackson, The Emperor, The Dawg, Randall Darius Jackson, Jackson, Randy (fb:m.02yygk): Randall Darius "Randy" Jackson is an American bassist, former te...s Best Dance Crew. Jackson has won a Grammy Award as a producer., has type TV Personality

Using properties:
Member (fb:music.group_membership.member): part of Musical Group Membership schema, links to type Musician
Roles (fb:music.group_membership.role): part of Musical Group Membership schema, links to type Musical Performance Role
Members Of Musical Group (fb:music.musical_group.member): links to type Musical Group Membership, part of Musical Group schema

Example 3:
Question:
what form of government was practiced in sparta?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09472 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09472 fb:location.country.form_of_government ?x .
}

Using entities:
Sparta, also known as Lacedaemon (fb:m.09472): Sparta or Lacedaemon was a prominent city-state in ancient Greec... a center for the processing of goods such as citrus and olives., 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]
The examples show how to find the place or location related to a person or entity. For the question "where was the prophet Mohammed from?", we need to identify the entity for "prophet Mohammed" and then find a property related to his place of origin or birth.

Step 1: Search for the entity "prophet Mohammed" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Mohammed, the Arabian prophet (fb:m.069v7k3): has type Book
2. Mohammed, sceau des prophètes (fb:m.06t_s0r): has type Book
3. Mohammed. Die Geschichte des Propheten (fb:m.06m2f5r): has type Book
4. Mohammed; prophet of the religion of Islam (fb:m.06m2f60): has type Book
5. Prophet, also known as Soothsayer (fb:m.066dv): In religion, a prophet is an individual who is claimed to have b...who suggest escalating crisis are often called prophets of doom., has type Fictional job title
6. Mohammed Fairouz, also known as Fairouz, Mohammed (fb:m.0glrqj4): Mohammed Fairouz is an American composer. He is one of the most ...h, Gyorgy Ligeti and John Heiss. Fairouz lives in New York City., has type Composer
7. Family name, also known as Prophit, Prophet, Prophat, Profitt, Profit (fb:m.02xk2): Before the first dictionaries appeared in the last few hundred y... of Britain to determine the rate of taxation of their subjects., has type Family name
8. Prophet (fb:m.03f5byv): has type Musical Group
9. Raja Mohammed, also known as Raja Mohammad, Raja Mohammed, Raja, Mohammed (fb:m.0s9dqsg): Raja Mohammad is a film editor., Raja Mohammed is a film editor., has type Award Winner
10. Prophet, also known as Yogensha (Prophet) (fb:m.0f329j3): has type Musical Recording

[Assistant] The search results did not return a direct entity for the prophet Mohammed (the historical figure). Instead, it returned mostly books and other unrelated entities. I will try searching for "Mohammed" alone to see if there is a more direct entity for the prophet Mohammed.

[Tool]
Top 10 entity alternatives:
1. Mohammed Fairouz, also known as Fairouz, Mohammed (fb:m.0glrqj4): Mohammed Fairouz is an American composer. He is one of the most ...h, Gyorgy Ligeti and John Heiss. Fairouz lives in New York City., has type Composer
2. Raja Mohammed, also known as Raja Mohammad, Raja Mohammed, Raja, Mohammed (fb:m.0s9dqsg): Raja Mohammad is a film editor., Raja Mohammed is a film editor., has type Award Winner
3. Mohammed (fb:m.0lkpl9): has type Musical Recording
4. Mohammed Khan, also known as Mohd. Khan, Mohmed, Mohd. Umar Khan, Mohammed, Mohamed Khan (fb:m.0r8sd9d): Mohammed Khan is an actor., has type Film actor
5. Mohammed (fb:m.0d0s7dk): has type Book Edition
6. Mohammed (fb:m.0tbvh8): has type Musical Recording
7. Mohammed (fb:m.0nt_yy): has type Musical Recording
8. Mohammed (fb:m.0qz_m6b): Mohammed is an actor., has type Film actor
9. Mohammed Mohammed (fb:m.011chfy2): Mohammed Mohammed is a soccer player., has type Athlete
10. Mohammed (fb:m.01w3rch): has type Musical Group

[Assistant]
The search for "Mohammed" also did not return the historical prophet Mohammed as a distinct entity. It mostly returned people with the name Mohammed, musical recordings, and other unrelated entities.

I will try searching for "Muhammad" (an alternative spelling) to see if the prophet Mohammed is listed under that name.

[Tool]
Top 10 entity alternatives:
1. Muhammad in Islam, also known as Mohammed, Mahomet, Muhammad, Muhammad, Muḥammad, Muḥammad ibn `Abd Allāh, Muhammad in Islam (fb:m.04s9n): Muḥammad ibn ʿAbd Allāh ibn ʿAbd al-Muṭṭalib ibn Hāshim, in shor...ed a model of the life-style that Muslims are obliged to follow., Muhammad, full name Abū al-Qāsim Muḥammad ibn ʿAbd Allāh ibn ʿAb...s visited by Gabriel and received his first revelation from God., has type Military Commander
2. Alp Arslan, also known as Alp Arslan ibn Chaghri-Beg ibn Mikail ibn Seljuq ibn Duqaq, Muhammad, Diya ad-Din, Adud ad-Dawlah, Abu Shuja (fb:m.0kdl): Alp Arslan was the second Sultan of the Seljuk Empire and great-...ained the name Alp Arslan, which means "Heroic Lion" in Turkish., has type Noble person
3. Prophets in Islam, also known as Muhammad (fb:m.024b22): has type Belief
4. Muhammad, also known as Surat Muhammad (fb:m.04vlym): Surat Muhammad is the 47th sura of the Qur'an with 38 ayat. The ...dr took place during Ramadan, in year 2 of the Islamic calendar.
5. Muhammad (fb:m.012fjwq7): Muhammad: The Messenger of God is an upcoming 2015 Iranian film ... by Vittorio Storaro and film score is composed by A. R. Rahman., has type Film
6. Muhammad, also known as Muhammad: His Life Based on the Earliest Sources (fb:m.04wdb8g): Muhammad: His Life Based on the Earliest Sources is an award-win... 1983 biography of the Islamic prophet Muhammad by Martin Lings., has type Book
7. Muhammad (fb:m.08p_zw6): has type Book Edition
8. Muhammad, also known as Mohammad of Tabaristan (fb:m.0_fpvzp): Muhammad of Tabaristan was the ruler of the Bavand dynasty from ...1271. He was the son and successor of Ardashir II of Tabaristan., has type Monarch
9. Muhammad (fb:m.0264__l)
10. Muhammad: The Messenger of God, also known as Muhammad (fb:m.08wxhk): Muhammad, The Messenger of God is a book about Islam written by Betty Kelen., has type Book

[Assistant]
The search for "Muhammad" returned an entity that matches the prophet Mohammed: "Muhammad in Islam" (fb:m.04s9n). This entity seems to be the historical prophet Mohammed.

Step 2: Now, I will search for properties of this entity that might indicate his place of origin or birth. I will search for properties related to "birth" or "origin" for the entity fb:m.04s9n.

[Tool]
Top 10 property alternatives:
1. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
2. Gender (fb:people.person.gender): part of Person schema, links to type Gender
3. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
4. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
5. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
6. Religion (fb:people.person.religion): links to type Religion, part of Person schema
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Parents (fb:people.person.parents): part of Person schema, links to type Person
9. Family (fb:people.family_member.family): part of Family member schema, links to type Family
10. Profession (fb:people.person.profession): links to type Profession, part of Person schema

No other items found

[Assistant]
The property "Place of birth" (fb:people.person.place_of_birth) is available for the entity "Muhammad in Islam" (fb:m.04s9n). This property should provide the information about where the prophet Mohammed was from.

Step 3: I will now construct a SPARQL query to get the place of birth of the prophet Mohammed (fb:m.04s9n) using the property fb:people.person.place_of_birth. I will also include the label of the place of birth for better readability.

[Tool]
Got 1 row and 2 columns:
| placeOfBirth       | placeOfBirthLabel |
| ------------------ | ----------------- |
| Mecca (fb:m.058wp) | Mecca (en)        |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?parent ?parentLabel WHERE {
  fb:m.02vntj fb:people.person.parents ?parent .
  OPTIONAL {
    ?parent rdfs:label ?parentLabel .
    FILTER ( lang( ?parentLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| parent                                | parentLabel                 |
| ------------------------------------- | --------------------------- |
| Gerald Hathaway (fb:m.07ylp26)        | Gerald Hathaway (en)        |
| Kate McCauley Hathaway (fb:m.07ylp2d) | Kate McCauley Hathaway (en) |

Anne Hathaway's parents are Gerald Hathaway and Kate McCauley Hathaway.

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

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

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

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

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

[User] who is anne hathaway parents?

[Assistant] Let's start by looking at some 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:
when did mcgee start on ncis?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03m8sg ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03m8sg fb:tv.tv_program.regular_cast ?y .
  ?y fb:tv.regular_tv_appearance.seasons ?x .
  ?y fb:tv.regular_tv_appearance.character fb:m.07wpd_ .
  ?x fb:tv.tv_series_season.from ?sk0 .
}
ORDER BY xsd:datetime ( ?sk0 )
LIMIT 1

Using entities:
NCIS, also known as Navy NCIS: Naval Criminal Investigative Service, N.C.I.S (fb:m.03m8sg): NCIS is an American police procedural drama television series, r...eason eleven led to a second spin-off series, NCIS: New Orleans., has type Award-Winning Work
Timothy McGee (fb:m.07wpd_): Timothy "Tim" McGee is a fictional character from the CBS televi...e cast in the beginning of season two. His nickname is "McGeek"., has type TV Character

Using properties:
Character (fb:tv.regular_tv_appearance.character): part of TV Regular Performance schema, links to type TV Character
Seasons (fb:tv.regular_tv_appearance.seasons): part of TV Regular Performance schema, links to type TV Season
Regular acting performances (fb:tv.tv_program.regular_cast): links to type TV Regular Performance, part of TV Program schema
From (fb:tv.tv_series_season.from): part of TV Season schema, links to type Date/Time

Example 3:
Question:
what country is the west bank located in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.082pc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.082pc fb:location.administrative_division.country ?x .
}

Using entities:
West Bank (fb:m.082pc): The West Bank Arabic: الضفة الغربية aḍ-Ḍiffah l-Ġarbiyyah; Hebr...m, illegal under international law, though Israel disputes this., has type Administrative Division

Using properties:
Country (fb:location.administrative_division.country): part of Administrative Division schema, links to type Country

[Assistant] From the examples, I see that the approach is to first find the entity for the person in question and then find the property related to parents. I will first search for the entity "Anne Hathaway" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Anne Hathaway, also known as Anne Jacqueline Hathaway, Enn Kheteuey, Annie, Ann Hathaway, Anne Whitney Hathaway (fb:m.02vntj): Anne Jacqueline Hathaway is an American actress, singer, and pro...he Dark Knight Rises and Fantine in Tom Hooper's Les Misérables., has type Celebrity
2. Anne Hathaway, also known as Ann Hathaway (fb:m.03mzbg): Anne Hathaway was the wife of William Shakespeare, the English p... subject of much speculation by historians and creative writers., has type Deceased Person
3. Anne Hathaway (fb:m.05ngh3d): Three people die in an attempt to get a jump on their holiday sh...on's mouthpiece, and Anne Hathaway vows to become a train wreck., has type TV Episode
4. Anne Hathaway (fb:m.0j946gh): One of the sweetest stars in Hollywood, ANNE HATHAWAY, is here t...he very first time to perform her hit song, "Dancing on My Own.", One of the sweetest stars in Hollywood, ANNE HATHAWAY, is here t...p star. She's here to perform her hit song, "Dancing on My Own.", has type TV Episode
5. Anne Hathaway (fb:m.0kb0jh6): Warren Buffett enters the "class warfare" fray, Fitch downgrades...rsey's credit rating, and Anne Hathaway talks Scrabble strategy., has type TV Episode
6. Anne Hathaway (fb:m.0jgxn99): Actress Anne Hathaway on her movie The Dark Knight Rises; Round ...ion with comics Greg Proops, Heather McDonald, and Ross Mathews., has type TV Episode
7. Anne Hathaway (fb:m.07kcjnv): has type TV Episode
8. Anne Hathaway (fb:m.07mls9g): has type TV Episode
9. Anne Hathaway (fb:m.0wfdz3f): America temporarily avoids the Fiscal Cliff, House Republicans v...kage, and Anne Hathaway divulges the ending to "Les Miserables"., has type TV Episode
10. Anne Hathaway (fb:m.04_11dq): "Anne Hathaway" is a poem by Carol Ann Duffy about Anne Hathaway...sket of my widow's head/ as he held me upon that next best bed".

[Assistant]
There are multiple entities named Anne Hathaway. The first one (fb:m.02vntj) is Anne Jacqueline Hathaway, an American actress, which matches the likely person of interest. The second one (fb:m.03mzbg) is Anne Hathaway, the wife of William Shakespeare, a deceased person. Since the question is likely about the actress, I will proceed with the first entity (fb:m.02vntj).

Next, I will search for properties related to "parents" for this entity.

[Tool]
Top 10 property alternatives:
1. Parents (fb:people.person.parents): part of Person schema, links to type Person
2. Siblings (fb:people.person.sibling_s): links to type Sibling Relationship, part of Person schema
3. Supports (fb:base.popstra.celebrity.supporter): part of Celebrity schema, links to type Support
4. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
5. Image (fb:common.topic.image): part of Topic schema, links to type Image
6. Gender (fb:people.person.gender): part of Person schema, links to type Gender
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Interest (fb:base.popstra.sww_base.interest): part of sww_base schema, links to type Integer
9. Wears (fb:base.popstra.celebrity.wears): links to type Fashion Choice, part of Celebrity schema
10. Is reviewed (fb:freebase.valuenotation.is_reviewed): part of Value Notation schema, links to type Property

No other items found

[Assistant] The property "Parents" (fb:people.person.parents) is available for the entity Anne Hathaway (fb:m.02vntj). I will now construct a SPARQL query to retrieve the parents of Anne Hathaway using this property. I will also include optional labels for the parents to provide human-readable names.

[Tool]
Got 2 rows and 2 columns:
| parent                                | parentLabel                 |
| ------------------------------------- | --------------------------- |
| Gerald Hathaway (fb:m.07ylp26)        | Gerald Hathaway (en)        |
| Kate McCauley Hathaway (fb:m.07ylp2d) | Kate McCauley Hathaway (en) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?profession ?professionLabel WHERE {
  fb:m.087k1_ fb:people.person.profession ?profession .
  OPTIONAL {
    ?profession rdfs:label ?professionLabel FILTER ( lang( ?professionLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| profession           | professionLabel |
| -------------------- | --------------- |
| Actor (fb:m.02hrh1q) | Actor (en)      |

Helen Flanagan is an actor.

[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 does helen flanagan do?

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

[Tool]
Example 1:
Question:
what form of government does greece use?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.035qy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.035qy fb:location.country.form_of_government ?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:
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

Example 2:
Question:
what years have the dodgers won the world series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04mjl ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04mjl fb:sports.sports_team.championships ?x .
}

Using entities:
Los Angeles Dodgers (fb:m.04mjl): The Los Angeles Dodgers are a professional baseball team in Los ...cutive from 1979 to 1982 and five consecutive from 1992 to 1996., has type Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

Example 3:
Question:
what language do you speak in finland?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02vzc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02vzc fb:location.country.languages_spoken ?x .
}

Using entities:
Finland, also known as Republic of Finland, Suomi (fb:m.02vzc): Finland, officially the Republic of Finland, is a Nordic country... the prevalence of the Swedish language and its official status., has type Country

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

[Assistant]
The question is "what does Helen Flanagan do?" which is asking about the occupation or profession of Helen Flanagan.

Step 1: Search for the entity "Helen Flanagan" in the knowledge graph to get her identifier.
Step 2: Search for properties related to occupation or profession for the entity Helen Flanagan.
Step 3: Construct a SPARQL query to retrieve the occupation or profession of Helen Flanagan.

I will start by searching for the entity "Helen Flanagan".

[Tool]
Top 10 entity alternatives:
1. Helen Flanagan, also known as Helen Daniella Flanagan (fb:m.087k1_): Helen Joyce Gabriel Flanagan is an English actress, model, and t...h candidate in the 2013 FHM 100 Sexiest Women in the World poll., has type TV Actor
2. Helen Flanagan (fb:m.0_z3nl7): Helen Flanagan is a cinematographer., has type Film cinematographer
3. Helen Flanagan (fb:m.0ygdbgn): Helen Flanagan is a fictional character from the 2011 film Butter., has type Film character
4. Helen Flanagan Pictures (fb:m.0c1_pkz)
5. Helen Flanagan, Henning Wehn, Miles Jupp, TBA, also known as Helen Flanagan, Henning Wehn, Miles Jupp, Alex Brooker (fb:m.0y5r68h): Jimmy Carr hosts the topical comedy panel show, with team captai...uests Helen Flanagan, Henning Wehn. Alex Brooker and Miles Jupp., has type TV Episode
6. Helen Flanagan, Henning Wehn, and Miles Jupp, also known as Helen Flanagan, Henning Wehn, Miles Jupp, Alex Brooker (fb:m.0yldrqp): Extended version of the show guest staring Helen Flanagan, Henning Wehn, Miles Jupp and Alex Brooker., has type TV Episode
7. Helen, also known as H-Bomb, Queen of the Nautch Girls, Miss Helen, Helen Richardson Khan, Helen Richardson (fb:m.070c93): Helen Jairag Richardson is a Burma-born Indian film actress and ...s the second wife of Salim Khan, and step-mother of Salman Khan., has type Award Winner
8. Jon Flanagan, also known as Flanagan, Jonathon Patrick Flanagan (fb:m.0gkzb7h): Jonathon Patrick "Jon" Flanagan is an English professional footb...ion". This has led to fans dubbing Flanagan as "the Scouse Cafu", has type Football player
9. Helen, also known as White County / Helen city, Helen, Georgia (fb:m.0r_0f): Helen is a city in White County, Georgia, United States, along the Chattahoochee River. The population was 430 at the 2000 census., has type City/Town/Village
10. Flanagan, also known as Flanagan, Illinois, Livingston County / Flanagan village (fb:m.0sbmb): Flanagan is a village in Livingston County, Illinois, United Sta...ool and grade school are both located within the village limits., has type City/Town/Village

[Assistant]
Helen Flanagan as a person is identified as fb:m.087k1_ in the knowledge graph. She is described as an English actress, model, and TV actor.

Next, I will search for properties related to occupation or profession for this entity fb:m.087k1_ to confirm what she does.

[Tool]
Top 10 property alternatives:
1. Profession (fb:people.person.profession): links to type Profession, part of Person schema
2. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
3. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
4. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
5. Gender (fb:people.person.gender): part of Person schema, links to type Gender
6. Ethnicity (fb:people.person.ethnicity): links to type Ethnicity, part of Person schema
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Daylife Topic (fb:common.identity.daylife_topic): links to type Enumeration, part of Identity schema

No other items found

[Assistant]
The property "Profession" (fb:people.person.profession) is the most relevant to answer the question about what Helen Flanagan does.

I will now construct a SPARQL query to retrieve the profession(s) of Helen Flanagan (fb:m.087k1_).

[Tool]
Got 1 row and 2 columns:
| profession           | professionLabel |
| -------------------- | --------------- |
| Actor (fb:m.02hrh1q) | Actor (en)      |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?placeOfBirth ?placeOfBirthLabel WHERE {
  fb:m.0261x8t fb:people.person.place_of_birth ?placeOfBirth .
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel .
    FILTER ( lang( ?placeOfBirthLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| placeOfBirth               | placeOfBirthLabel |
| -------------------------- | ----------------- |
| Los Angeles (fb:m.030qb3t) | Los Angeles (en)  |

Kim Kardashian's place of birth is Los Angeles.

[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 examples.

[Tool]
Example 1:
Question:
what countries in north america continent?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.059g4 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.059g4 fb:base.locations.continents.countries_within ?x .
}

Using entities:
North America (fb:m.059g4): North America is a continent wholly within the Northern Hemisphe... ago. The Classic stage spans roughly the 6th to 13th centuries., has type Continent

Using properties:
Countries within (fb:base.locations.continents.countries_within): part of Continents schema, links to type Countries

Example 2:
Question:
where is hong kong china?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03h64 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03h64 fb:location.location.containedby ?x .
}

Using entities:
Hong Kong, also known as Hong Kong Special Administrative...f the People's Republic of China, Hongkong, Hong Kong Special Administrative Region, Hongkong Island, Hong Kon (fb:m.03h64): Hong Kong, officially known as Hong Kong Special Administrative ... on 1 July 1997 under the principle of one country, two systems., Hong Kong is one of two Special Administrative Regions (SARs) of... is renowned for its expansive skyline and deep natural harbour., has type Country

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

Example 3:
Question:
what year were the new york yankees established?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0cqt41 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0cqt41 fb:sports.sports_team.founded ?x .
}

Using entities:
New York Yankees, also known as The Pinstripes, The Bronx Bombers, The Pinstripers, The Bronx Zoo, New York Highlanders (fb:m.0cqt41): The New York Yankees are a Major League Baseball team based in t...d in 1995, which allowed  the two teams to meet in the playoffs., The New York Yankees are an American professional baseball team ... attendance—in 2011, the Yankees had the 2nd-highest attendance., has type Professional Sports Team

Using properties:
Founded (fb:sports.sports_team.founded): part of Sports Team schema, links to type Date/Time

[Assistant]
From the examples, it seems that to answer "where did [person] come from?" we can look for properties related to place of birth or origin. For Kim Kardashian, we should first find the entity for Kim Kardashian in the knowledge graph and then look for properties related to place of birth or origin.

Step 1: Search for the entity "Kim Kardashian" in the freebase knowledge graph.

[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 as a celebrity is fb:m.0261x8t. Next, I will search for properties of this entity related to place of birth or origin.

[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. Ethnicity (fb:people.person.ethnicity): links to type Ethnicity, part of Person schema
7. Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
8. Name ID (fb:imdb.topic.name_id): links to type Enumeration, part of Topic schema
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Gender (fb:people.person.gender): part of Person schema, links to type Gender

No other items found

[Assistant] The property "Place of birth" (fb:people.person.place_of_birth) seems to be the most relevant to answer where Kim Kardashian came from. I will now query the place of birth for Kim Kardashian using this property.

[Tool]
Got 1 row and 2 columns:
| placeOfBirth               | placeOfBirthLabel |
| -------------------------- | ----------------- |
| Los Angeles (fb:m.030qb3t) | Los Angeles (en)  |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?case ?caseName WHERE {
  ?case a fb:law.legal_case .
  ?case fb:type.object.name ?caseName .
  FILTER ( CONTAINS( LCASE( ?caseName ) , "supreme court" ) )
}
LIMIT 20

The knowledge graph contains limited data on Supreme Court cases. One example of a Supreme Court case is '2003 term per curiam opinions of the Supreme Court of the United States' (fb:m.0fwm_7). This is a case entity representing opinions from the Supreme Court of the United States.

[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 examples.

[Tool]
Example 1:
Question:
what kind of government does chile have today?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01p1v ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01p1v fb:location.country.form_of_government ?x .
}

Using entities:
Chile, also known as Republic of Chile (fb:m.01p1v): Chile, officially the Republic of Chile, is a South American cou...nth of fjords, inlets, canals, twisting peninsulas, and islands., 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 country is the west bank located in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.082pc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.082pc fb:location.administrative_division.country ?x .
}

Using entities:
West Bank (fb:m.082pc): The West Bank Arabic: الضفة الغربية aḍ-Ḍiffah l-Ġarbiyyah; Hebr...m, illegal under international law, though Israel disputes this., has type Administrative Division

Using properties:
Country (fb:location.administrative_division.country): part of Administrative Division schema, links to type Country

Example 3:
Question:
what else did eli whitney invent?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02ncr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02ncr fb:law.inventor.inventions ?x .
}

Using entities:
Eli Whitney (fb:m.02ncr): Eli Whitney was an American inventor best known for inventing th... He continued making arms and inventing until his death in 1825., has type Inventor

Using properties:
Inventions (fb:law.inventor.inventions): links to type Invention, part of Inventor schema

[Assistant] The examples do not directly show how to query for "supreme court cases." I will now search for the entity "Supreme Court" to identify its identifier in the knowledge graph. Then I will look for properties related to cases or decisions associated with the Supreme Court.

[Tool]
Top 10 entity alternatives:
1. Supreme court (fb:m.0ctwx3): A supreme court is the highest court within the hierarchy of man...and the former Supreme Court of Judicature of England and Wales., has type Literature Subject
2. Supreme Court (fb:m.01rt58s): has type Musical Group
3. Supreme Court (fb:m.072g_g): The Supreme Court of Hong Kong was the highest court in Hong Kon... made up of the Court of First Instance and the Court of Appeal., has type Court
4. Supreme Court (fb:m.0n48695): Supreme Court was a British Thoroughbred racehorse and sire. Aft...retired to stud, where he had some success as a sire of winners., has type Organism
5. Supreme Court of the Pitcairn Islands, also known as Supreme Court (fb:m.0c5tt2): The Pitcairn Supreme Court is the supreme court of the Pitcairn ...y. Hearings of the court may also be held in the United Kingdom., has type Court
6. Supreme Court (fb:m.0f3tqrm): has type Musical Recording
7. Supreme Court (fb:m.09h92c): The Supreme Court of Fiji is one of three courts established by ...eview any judgement or decision that it has previously rendered., has type Court
8. Supreme Court (fb:m.0dkpmlm): has type TV Episode
9. Supreme Court (fb:m.0h3xvgp): The Supreme Court is the highest judicial authority in Sudan, lo...Court will sign a Memorandum of Understanding in September 2011.
10. Supreme Court (fb:m.0lz99hp)

[Assistant] There are multiple entities named "Supreme Court" for different jurisdictions. The most general or well-known one is not explicitly clear from the list. To proceed, I will check properties of the entity fb:m.0ctwx3 (Supreme court, the first result) to see if it has properties related to cases or decisions. If not, I may try other entities.

[Tool]
Top 10 property alternatives:
1. Type (fb:type.object.type): part of Object schema, links to type Type
2. Image (fb:common.topic.image): part of Topic schema, links to type Image
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Subject of (fb:common.topic.subject_of): part of Topic schema, links to type Topic
7. Article (fb:common.topic.article): links to type Document, part of Topic schema
8. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
9. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
10. Pronunciation (fb:base.schemastaging.context_name.pronunciation): links to type Pronunciation, part of Context name schema

No other items found

[Assistant] The entity fb:m.0ctwx3 (Supreme court) does not have properties related to cases. I will try the entity fb:m.072g_g which is the Supreme Court of Hong Kong, a specific court, to see if it has properties related to cases.

[Tool]
Top 10 property alternatives:
1. Type (fb:type.object.type): part of Object schema, links to type Type
2. Image (fb:common.topic.image): part of Topic schema, links to type Image
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Name (fb:type.object.name): part of Object schema, links to type Text
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. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
8. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
9. Judges (fb:law.court.judges): links to type Judicial tenure, part of Court schema
10. Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage): part of Topic schema, links to type URI

No other items found

[Assistant] The Supreme Court of Hong Kong entity also does not have properties related to cases. I will try a different approach and search for entities related to "Supreme Court case" to find if there is a class or type for supreme court cases.

[Tool]
Top 10 entity alternatives:
1. Contemporary Supreme Court Cases (fb:m.06ty839): has type Book
2. Famous Supreme Court cases (fb:m.068_pbs): has type Book
3. Historic Supreme Court Cases (fb:m.06rs5_3): has type Book
4. Supreme Court Case Selections Act (fb:m.0cn_fjt): The Supreme Court Case Selections Act of 1988 is an act of Congr...from federal district courts and in limited categories of cases.
5. Supreme Court Cases Through Primary Sources (fb:m.068xzgs): has type Book
6. Supreme Court Cases on Sex Discrimination (fb:m.06g_l7m): has type Book
7. Supreme Court of Canada - Case Information (fb:m.0bm58y0)
8. Landmark Supreme Court cases: a reference guide (fb:m.090n2c7): has type Book Edition
9. Case selection in the United States Supreme Court (fb:m.095rz7m): has type Book Edition
10. Case selection in the United States Supreme Court (fb:m.06nt7lp): has type Book

[Assistant] The search results mostly show books and acts related to Supreme Court cases, but not a class or type for Supreme Court cases themselves. I will try to search for the property "case" or "cases" to see if there is a property that links courts to their cases.

[Tool]
Top 10 property alternatives:
1. Case (fb:law.legal_case_party_relationship.case): part of Legal case/party relationship schema, links to type Legal case
2. Cases (fb:law.judge.cases): links to type Legal case, part of Judge schema
3. Case name (fb:base.canadianlaw.case.case_name): part of Legal Case schema, links to type Text
4. CaseName (fb:user.commonplace.default_domain.u_s_supreme_court.casename): part of U.S. Supreme Court schema, links to type Text
5. Case material (fb:base.watches.watch_model.case_material): links to type Watch case material, part of Watch model schema
6. Case Material (fb:user.dabrutyn.default_domain.watch_model.case_metal): links to type Watch Material, part of Watch schema
7. Grammatical case (fb:base.natlang.predicate_relation.grammatical_case): part of Predicate relation schema, links to type Grammatical case
8. Party to cases (fb:law.litigant.party_to_cases): links to type Legal case/party relationship, part of Litigant schema
9. Legal cases (fb:law.legal_subject.legal_cases): part of Legal subject schema, links to type Legal case
10. Legal Cases (fb:base.crime.criminal_defendant.legal_cases): part of Criminal Defendant schema, links to type Legal case

[Assistant] There is a property fb:law.judge.cases that links a judge to legal cases. Also, there is a property fb:law.legal_subject.legal_cases that links a legal subject to legal cases. I will now search for the entity "Supreme Court" as a judge or court to see if it has cases linked. I will try to find a Supreme Court entity that is typed as a Judge or Court.

[Tool]
Top 10 entity alternatives:
1. Supreme Court Judge (fb:m.011dx7zk): Supreme Court Judge is a fictional character from the 1948 film Jiggs and Maggie in Court., has type Film character
2. Supreme Court Justice Jackson, lawyer's judge (fb:m.06bgj2w): has type Book
3. RI Supreme Court Judge Florence Murray (fb:m.0v4j5p5): RI Supreme Court Judge Florence Murray is a fictional character from the 1990 film Reversal of Fortune., has type Film character
4. Judge Cassody, of the Supreme Court of Wisconsin (fb:m.0c6s2vs): has type Book Edition
5. Supreme court (fb:m.0ctwx3): A supreme court is the highest court within the hierarchy of man...and the former Supreme Court of Judicature of England and Wales., has type Literature Subject
6. Supreme Court (fb:m.01rt58s): has type Musical Group
7. Supreme Court (fb:m.072g_g): The Supreme Court of Hong Kong was the highest court in Hong Kon... made up of the Court of First Instance and the Court of Appeal., has type Court
8. Supreme Court (fb:m.0n48695): Supreme Court was a British Thoroughbred racehorse and sire. Aft...retired to stud, where he had some success as a sire of winners., has type Organism
9. Supreme Court of the Pitcairn Islands, also known as Supreme Court (fb:m.0c5tt2): The Pitcairn Supreme Court is the supreme court of the Pitcairn ...y. Hearings of the court may also be held in the United Kingdom., has type Court
10. Supreme Court (fb:m.0f3tqrm): has type Musical Recording

[Assistant] The entity fb:m.072g_g is a Supreme Court and has type Court. I will now check if it has judges and if those judges have cases linked to them. I will first check the judges of this court.

[Tool]
Got 2 rows and 3 columns:
| subject                     | property                     | object       |
| --------------------------- | ---------------------------- | ------------ |
| Supreme Court (fb:m.072g_g) | Judges (fb:law.court.judges) | fb:m.0_b2jbg |
| Supreme Court (fb:m.072g_g) | Judges (fb:law.court.judges) | fb:m.0w357k6 |

[Assistant] The Supreme Court of Hong Kong (fb:m.072g_g) has judges fb:m.0_b2jbg and fb:m.0w357k6. I will now check if these judges have cases linked to them.

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Assistant] The judges of the Supreme Court of Hong Kong do not have cases linked to them. I will try a different approach and search for legal cases in general and see if any are linked to a Supreme Court.

[Tool]
Top 10 entity alternatives:
1. Legal case (fb:law.legal_case)
2. Legal case (fb:m.05ps5_): A legal case is a dispute between opposing parties resolved by a...e either civil or criminal. There is a defendant and an accuser., has type Website Category
3. Legal case (fb:m.045r4j9): A legal case is a legal action brought before a court of law.
4. Trial, also known as court case, Legal case (fb:m.0852v5q): a base type for any kind of trial
5. Legal Case (fb:m.0dk9db2)
6. Court decision, also known as Legal authority, Legal case (fb:m.0cvb0v1): A decision of a court or tribunal either having precedential or ...piece of litigation might give rise to multiple court decisions.
7. Legal Case (fb:m.0hnkgf0)
8. Legal case (fb:m.04nt8q9)
9. Legal Case (fb:m.0134hpt2): Legal Case was an Irish-bred British-trained Thoroughbred raceho...rom racing he had some success as a breeding stallion in Brazil.
10. Legal case (fb:m.0852v61)

[Assistant] The entity fb:law.legal_case seems to be the class for legal cases. I will now try to find legal cases that are linked to a Supreme Court. I will try to find properties of legal cases that might link them to courts.

[Tool]
Top 10 property alternatives:
1. Instance (fb:type.type.instance): links to type Object, part of Type schema
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Assistant] The legal case entity does not have a direct property linking it to a court. I will try to find properties of the Supreme Court entity that might link it to legal cases. I will try the Supreme Court of the Pitcairn Islands (fb:m.0c5tt2) as another example of a Supreme Court.

[Tool]
Top 10 property alternatives:
1. Type (fb:type.object.type): part of Object schema, links to type Type
2. Description (fb:common.topic.description): part of Topic schema, links to type Text
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Article (fb:common.topic.article): links to type Document, part of Topic schema
6. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
7. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
8. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
9. Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage): part of Topic schema, links to type URI

No other items found

[Assistant] The Supreme Court of the Pitcairn Islands entity also does not have properties linking it to cases. Given the difficulty in finding a direct link between Supreme Courts and their cases in the knowledge graph, I will now try a more general query to find legal cases and their court if available, and filter for those related to a Supreme Court in the label or description. This might give us some Supreme Court cases.

[Tool]
Got 1 row and 4 columns:
| case                                                                              | caseName                                                                 | court | courtName |
| --------------------------------------------------------------------------------- | ------------------------------------------------------------------------ | ----- | --------- |
| 2003 term per curiam opinions of...preme Court of the United States (fb:m.0fwm_7) | 2003 term per curiam opinions of...preme Court of the United States (en) |       |           |

[Assistant] I found one case entity named "2003 term per curiam opinions of the Supreme Court of the United States" (fb:m.0fwm_7). It does not have a court linked directly, but the name indicates it is a Supreme Court case. I will now query for more cases with similar names to get a broader list of Supreme Court cases.

[Tool]
Got 1 row and 2 columns:
| case                                                                              | caseName                                                                 |
| --------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| 2003 term per curiam opinions of...preme Court of the United States (fb:m.0fwm_7) | 2003 term per curiam opinions of...preme Court of the United States (en) |

[Assistant] The only Supreme Court case found by name is "2003 term per curiam opinions of the Supreme Court of the United States" (fb:m.0fwm_7). It seems the knowledge graph has limited data on Supreme Court cases. I will provide this case as an example of a Supreme Court case.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?wife WHERE {
  fb:m.018fzs fb:people.person.spouse_s ?wife .
  ?wife fb:type.object.name ?wifeName .
  FILTER ( LANG( ?wifeName ) = '' || LANGMATCHES( LANG( ?wifeName ) , 'en' ) )
}

Newt Gingrich's wife's name is Callista Gingrich.

[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 examples.

[Tool]
Example 1:
Question:
what albums did john frusciante play on?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0191h5 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0191h5 fb:music.artist.album ?x .
}

Using entities:
John Frusciante, also known as Trickfinger, John Anthony Frusciante, Frusciante, John, Greenman, Greenie (fb:m.0191h5): John Anthony Frusciante is an American guitarist, singer, produc...ecame overwhelmed by the band's new popularity and quit in 1992., has type Musical Artist

Using properties:
Albums (fb:music.artist.album): part of Musical Artist schema, links to type Musical Album

Example 2:
Question:
what state in chicago in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01_d4 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01_d4 fb:location.location.containedby ?x .
  ?x fb:common.topic.notable_types fb:m.0kpys4 .
}

Using entities:
Chicago, also known as Chicago, Chicagoland, The Windy City, The City With Broad Shoulders, The City That Works, DuPage County / Chicago city (fb:m.01_d4): Chicago is the third most populous city in the United States. Wi...Chicago hosted 50.2 million international and domestic visitors., has type City/Town/Village
US State (fb:m.0kpys4): A US State is one of the fifty sub-national entitites comprising... of America. Each state has its own capital city and government.

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 3:
Question:
who played dorothy in the wizard of oz movie?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.020hj1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.020hj1 fb:film.film_character.portrayed_in_films ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.film fb:m.02q52q .
}

Using entities:
Dorothy Gale (fb:m.020hj1): Dorothy Gale is a fictional character and protagonist of many of... officially makes her a princess of Oz later in the book series., has type Film character
The Wizard of Oz, also known as Troldmanden fra Oz, O Feiticeiro de Oz, Ozu no mahôtsukai, Oz büyücüsü, Óz, a csodák csodája (fb:m.02q52q): The Wizard of Oz is a 1939 American musical fantasy film produce... categories including Best Original Song for "Over the Rainbow"., The Wizard of Oz is a 1939 musical fantasy adventure film writte...rence Ryerson, Edgar Allan Woolf and directed by Victor Fleming., has type Award-Winning Work

Using properties:
Portrayed in films (fb:film.film_character.portrayed_in_films): links to type Film performance, part of Film character schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant] I have seen examples of how to query for a person's related entities such as albums or roles. Now I will search for the entity "Newt Gingrich" in the knowledge graph to get his identifier. Then I will look for properties related to "wife" or "spouse" for that entity.

[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. Now I will search for properties related to "wife" or "spouse" for this entity to find the property that links Newt Gingrich to his wife.

[Tool]
Top 10 property alternatives:
1. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
2. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
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. Gender (fb:people.person.gender): part of Person schema, links to type Gender
7. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
8. Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema
9. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
10. Parents (fb:people.person.parents): part of Person schema, links to type Person

No other items found

[Assistant] The property "Spouse (or domestic partner)" with the identifier fb:people.person.spouse_s is the relevant property for Newt Gingrich's wife. Now I will write a SPARQL query to get the spouse of Newt Gingrich using this property.

[Tool]
SPARQL execution failed:
Operation timed out. Last operation: Filter ( LANG ( ?wifeName ) = '' || LANGMATCHES ( LANG ( ?wifeName ) , 'en' ) )

[Assistant] The query to get Newt Gingrich's wife timed out, likely due to the language filter. I will simplify the query by removing the language filter and try again.

[Tool]
Got 3 rows and 2 columns:
| wife         | wifeName |
| ------------ | -------- |
| fb:m.0hybx80 |          |
| fb:m.0j1782r |          |
| fb:m.0j17836 |          |

[Assistant] The query returned three spouses for Newt Gingrich, but no names were directly attached. I will now query the names of these three spouse entities separately to find their names.

[Tool] Got no rows and 2 columns

[Assistant] The names of the spouse entities did not return any results with the language filter. I will try again without the language filter to see if any names are available.

[Tool] Got no rows and 2 columns

[Assistant] The spouse entities do not have names directly attached in the knowledge graph. I will now try to find other properties of these spouse entities to identify their names or labels.

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                                       | object                           |
| ------------ | -------------------------------------------------------------- | -------------------------------- |
| fb:m.0hybx80 | Type (fb:type.object.type)                                     | Marriage (fb:people.marriage)    |
| fb:m.0hybx80 | Has no value (fb:freebase.valuenotation.has_no_value)          | To (fb:m.01z0kt_)                |
| fb:m.0hybx80 | Spouse (fb:people.marriage.spouse)                             | Newt Gingrich (fb:m.018fzs)      |
| fb:m.0hybx80 | Type of union (fb:people.marriage.type_of_union)               | Marriage (fb:m.04ztj)            |
| fb:m.0hybx80 | From (fb:people.marriage.from)                                 | 2000-08-18 (xsd:date)            |
| fb:m.0hybx80 | Location of ceremony (fb:people.marriage.location_of_ceremony) | Alexandria (fb:m.013h9)          |
| fb:m.0hybx80 | rdf:type                                                       | Marriage (fb:people.marriage)    |
| fb:m.0hybx80 | Spouse (fb:people.marriage.spouse)                             | Callista Gingrich (fb:m.05znhhq) |

[Assistant] The entity fb:m.0hybx80 is a marriage entity. It has a spouse property pointing to Callista Gingrich (fb:m.05znhhq). I will now check the name of Callista Gingrich.

[Tool]
Got 1 row and 1 column:
| name                   |
| ---------------------- |
| Callista Gingrich (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?actor ?actorName WHERE {
  fb:m.02ql50 fb:film.film_character.portrayed_in_films ?performance .
  ?performance fb:film.performance.film fb:m.02rrfzf .
  ?performance fb:film.performance.actor ?actor .
  OPTIONAL {
    ?actor fb:type.object.name ?actorName
  }
}

Got 25 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor                       | actorName           |
| --------------------------- | ------------------- |
| Alexa Vega (fb:m.02z7h0)    | Alexa PenaVega (cs) |
| Alexa Vega (fb:m.02z7h0)    | Alexa Vega (da)     |
| Alexa Vega (fb:m.02z7h0)    | Alexa Vega (de)     |
| Alexa Vega (fb:m.02z7h0)    | Alexa Vega (en)     |
| Alexa Vega (fb:m.02z7h0)    | Alexa Vega (es)     |
| ...                         | ...                 |
| Alexa Vega (fb:m.02z7h0)    | 알렉사 베가 (ko)         |
| Alexa Vega (fb:m.02z7h0)    | アレクサ・ヴェガ (ja)       |
| Alexa Vega (fb:m.02z7h0)    | 阿丽夏·维加 (zh)         |
| Alexa Vega (fb:m.02z7h0)    | 阿麗夏·維加 (zh-Hant)    |
| Addisyn Fair (fb:m.0zfn9cs) | Addisyn Fair (en)   |

The actor who played Carmen Cortez in Spy Kids is Alexa Vega.

[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 examples.

[Tool]
Example 1:
Question:
what does the name austin stand for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0vzm ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0vzm fb:symbols.namesake.named_after ?x .
}

Using entities:
Austin, also known as Austin, Texas, Austin, TX, Williamson County / Austin city (fb:m.0vzm): Austin is the capital of the US state of Texas and the seat of T...blic's new capital and was incorporated under the name Waterloo., has type City/Town/Village

Using properties:
Named after (fb:symbols.namesake.named_after): links to type Name source, part of Namesake schema

Example 2:
Question:
who was judy garland married to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0g10g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0g10g 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
Judy Garland, also known as The Garland Sisters, Miss Show Business, Marie Gumm, Judy, Joots (fb:m.0g10g): Judy Garland was an American singer, actress, and vaudevillian. ...urn to acting, beginning with critically acclaimed performances., has type Musical Artist

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 style of art does andy warhol do?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0kc6 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0kc6 fb:visual_art.visual_artist.associated_periods_or_movements ?x .
}

Using entities:
Andy Warhol, also known as Andrew Varchola, Drella, Andrew Warhola, Jr., Andrew Warhola, Andrew Varchola, Jr. (fb:m.0kc6): Andy Warhol was an American artist who was a leading figure in t...man who lived openly as such before the gay liberation movement., has type Visual Artist

Using properties:
Associated periods or movements (fb:visual_art.visual_artist.associated_periods_or_movements): links to type Art Period/Movement, part of Visual Artist schema

[Assistant]
The question is "who played Carmen Cortez in Spy Kids?" We need to find the entity for the character "Carmen Cortez" and the movie "Spy Kids" or the related film, then find the actor who played this character.

Step 1: Search for the entity "Carmen Cortez" in the knowledge graph.

[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 "Carmen Cortez" is found as fb:m.02ql50, described as a fictional character in film. Next, I will search for the property that links a film character to the actor who played them. I will search for properties related to "played by" or "actor" for the entity Carmen Cortez (fb:m.02ql50).

[Tool]
Top 10 property alternatives:
1. Portrayed in films (fb:film.film_character.portrayed_in_films): links to type Film performance, part of Film character schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Programs in which this was a regular character (fb:tv.tv_character.appeared_in_tv_program): links to type TV Regular Performance, part of TV Character schema
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Type (fb:type.object.type): part of Object schema, links to type Type
6. Gender (fb:fictional_universe.fictional_character.gender): part of Fictional Character schema, links to type Character Gender
7. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
8. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text

No other items found

[Assistant] The property "Portrayed in films" (fb:film.film_character.portrayed_in_films) is linked to the type Film performance, which likely connects the character to the film performance by an actor. Now I will explore the property "fb:film.film_performance.actor" to see if it links to the actor who played the character. I will check if this property exists and is used in the knowledge graph.

[Tool]
Top 10 property alternatives:
1. Actor (fb:base.tatort.tatort_team_membership.actor): part of Tatort Team Membership schema, links to type TV Actor
2. Actor (fb:tv.tv_segment_performance.actor): part of TV segment performance schema, links to type TV Actor
3. Actor (fb:base.webvideo.internet_video_regular_performance.actor): part of Internet Video Regular Performance schema, links to type Internet Video Actor
4. Actor (fb:theater.theater_role.actor): links to type Theater Actor, part of Theater Role schema
5. Actor (fb:user.thadguidry.default_domain.ad_spot_performance.actor): part of Ad Spot Performance schema, links to type Ad Spot Actor
6. Actor (fb:base.italiantv.tv_dubbing_performance.actor): part of TV Dubbing Performance schema, links to type Dubbing actor
7. Actor (fb:base.schemastaging.tv_episode_dubbing_performance.actor): part of TV episode dubbing performance schema, links to type TV actor extra
8. Actor (fb:base.saturdaynightlive.snl_recurring_sketch_performance.actor): part of SNL sketch series regular performance schema, links to type SNL actor
9. Actor (fb:base.webvideo.internet_video_performance.actor): part of Internet Video Performance schema, links to type Internet Video Actor
10. Actor (fb:cvg.game_performance.voice_actor): part of Video Game Performance schema, links to type Video Game Actor

[Assistant] There are several properties named "actor" but they are mostly related to specific performance types like TV segment, theater role, etc. I will check the property "fb:film.film_performance.actor" specifically to see if it is used in the knowledge graph.

[Tool] Got no rows and 3 columns

[Assistant] The property "fb:film.film_performance.actor" does not seem to have any data in the knowledge graph. I will try to find the films in which Carmen Cortez was portrayed using "fb:film.film_character.portrayed_in_films" and then find the actors related to those films.

[Tool]
Got 5 rows and 3 columns:
| subject                   | property                                                       | object       |
| ------------------------- | -------------------------------------------------------------- | ------------ |
| Baby Carmen (fb:m.02ql50) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.02s9tsc |
| Baby Carmen (fb:m.02ql50) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.02s9tx3 |
| Baby Carmen (fb:m.02ql50) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.02s9tz1 |
| Baby Carmen (fb:m.02ql50) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0g5ddb0 |
| Baby Carmen (fb:m.02ql50) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0zfn9cq |

[Assistant] The character Carmen Cortez (fb:m.02ql50) is portrayed in several films (fb:m.02s9tsc, fb:m.02s9tx3, fb:m.02s9tz1, fb:m.0g5ddb0, fb:m.0zfn9cq). Now I will check the actors for one of these films, for example, fb:m.02s9tsc, by looking for the property "fb:film.performance.actor" or similar.

[Tool]
Got 1 row and 3 columns:
| subject      | property                          | object                   |
| ------------ | --------------------------------- | ------------------------ |
| fb:m.02s9tsc | Actor (fb:film.performance.actor) | Alexa Vega (fb:m.02z7h0) |

[Assistant] The film fb:m.02s9tsc has an actor Alexa Vega (fb:m.02z7h0) listed with the property "fb:film.performance.actor". I will check if this film is related to Spy Kids by getting its name.

[Tool] Got no rows and 3 columns

[Assistant] The film fb:m.02s9tsc does not have a name property listed as fb:type.object.name. I will try to get the label of the film using rdfs:label.

[Tool] Got no rows and 3 columns

[Assistant] The film fb:m.02s9tsc does not have an rdfs:label either. I will try to get any name or title property for the film.

[Tool]
Got 5 rows and 3 columns:
| subject      | property                                  | object                                 |
| ------------ | ----------------------------------------- | -------------------------------------- |
| fb:m.02s9tsc | Type (fb:type.object.type)                | Film performance (fb:film.performance) |
| fb:m.02s9tsc | Actor (fb:film.performance.actor)         | Alexa Vega (fb:m.02z7h0)               |
| fb:m.02s9tsc | Film (fb:film.performance.film)           | Spy Kids (fb:m.02rrfzf)                |
| fb:m.02s9tsc | Character (fb:film.performance.character) | Baby Carmen (fb:m.02ql50)              |
| fb:m.02s9tsc | rdf:type                                  | Film performance (fb:film.performance) |

[Assistant]
The film performance fb:m.02s9tsc is related to the film "Spy Kids" (fb:m.02rrfzf) and the character "Baby Carmen" (fb:m.02ql50). The actor for this performance is Alexa Vega (fb:m.02z7h0). This means Alexa Vega played Carmen Cortez in Spy Kids.

I will now formulate the final SPARQL query to retrieve the actor who played Carmen Cortez in Spy Kids.

[Tool] Stopped generation process