PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?language ?languageLabel WHERE {
  fb:m.01mjq fb:location.country.official_language ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
    FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| language                    | languageLabel       |
| --------------------------- | ------------------- |
| Czech Language (fb:m.01wgr) | Czech Language (en) |

The official language spoken in the Czech Republic is Czech Language.

[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 spoken in czech republic?

[Assistant]
The user question is asking about the language spoken in the Czech Republic. To answer this, I need to find the entity for "Czech Republic" and then find the property that relates the country to the language spoken there.

Step 1: Search for the entity "Czech Republic" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Czech Republic, also known as Bohemia (fb:m.01mjq): The Czech Republic, is a landlocked country in Central Europe bo...ized mainly by the emperor and princes of the Holy Roman Empire., has type Country
2. Mrdrchain, also known as Czech Republic, MRDRCHAIN (fb:m.0fpp763): Mrdrchain is a 2010 short animation film written and directed by Ondrej Svadlena., has type Film
3. Czech Republic (fb:m.0sndgq9): has type Musical Recording
4. Czech Republic (fb:m.03c3ks2): In European elections, Czech Republic is a constituency of the E...nty-four MEPs. It covers the member state of the Czech Republic., has type Political District
5. Czech Republic (fb:m.05dlwwg): The Czech Republic, land of ornate castles and mystical legends,... landmarks alike, so kick back, drink up and let it all sink in., has type TV Episode
6. Czech Republic (fb:m.0f75lvn): has type Musical Recording
7. Czech Republic (fb:m.0d_mqs2): has type Musical Recording
8. Czech Republic (fb:m.07lbfj3): has type TV Episode
9. Czech Republic (fb:m.0799b2k): has type TV Episode
10. Episode 43, also known as Czech Republic (fb:m.0kxxg3t): has type TV Episode

[Assistant] The entity for the Czech Republic is fb:m.01mjq, which is a country. Next, I need to find the property that relates a country to the language spoken there. I will search for properties related to "language" for the entity Czech Republic (fb:m.01mjq).

[Tool]
Top 10 property alternatives:
1. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
2. Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema
3. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Titles (fb:media_common.netflix_genre.titles): part of Netflix Genre schema, links to type Netflix Title
6. Adjectival form (fb:location.location.adjectival_form): part of Location schema, links to type Text
7. Adjectival form (fb:freebase.linguistic_hint.adjectival_form): part of Linguistic hint schema, links to type Text
8. Adjectival form (fb:base.aareas.schema.administrative_area.adjectival_form): part of Administrative Area schema, links to type Text
9. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
10. Continent (fb:base.locations.countries.continent): links to type Continents, part of Countries schema

No other items found

[Assistant]
There are two relevant properties related to language for the Czech Republic entity:
1. Languages spoken (fb:location.country.languages_spoken)
2. Official Language (fb:location.country.official_language)

I will first try to query the official language of the Czech Republic using the property fb:location.country.official_language.

[Tool]
Got 1 row and 2 columns:
| language                    | languageLabel       |
| --------------------------- | ------------------- |
| Czech Language (fb:m.01wgr) | Czech Language (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the official language spoken in the Czech Republic by using the property for official language and the entity for the Czech Republic. The query also optionally retrieves the English label for the language, which is helpful for readability. The result correctly identifies Czech Language as the official language. The answer provided is accurate and complete. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?placeOfBirth ?placeOfBirthLabel WHERE {
  fb:m.04s9n fb:people.person.place_of_birth ?placeOfBirth .
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel .
    FILTER ( lang( ?placeOfBirthLabel ) = "en" )
  }
}
LIMIT 10

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]
To answer the question "Where was the prophet Mohammed from?" I need to identify the entity representing the prophet Mohammed in the knowledge graph and then find the property that indicates his place of origin or birthplace.

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 show several entities related to "Mohammed" but many are books or other unrelated entities. The most relevant entity that likely corresponds to the prophet Mohammed is not explicitly clear from the top results. However, the first entity "Mohammed, the Arabian prophet" (fb:m.069v7k3) seems to be the closest match despite being labeled as a book.

I will try to explore this entity further to see if it contains information about the place of origin or birthplace. I will look for properties of this entity that might indicate place of birth or origin.

[Tool]
Got 22 rows and 3 columns, showing the first 10 rows below:
| subject                                      | property                                      | object                                                              |
| -------------------------------------------- | --------------------------------------------- | ------------------------------------------------------------------- |
| Mohammed, the Arabian prophet (fb:m.069v7k3) | Type (fb:type.object.type)                    | Topic (fb:common.topic)                                             |
| Mohammed, the Arabian prophet (fb:m.069v7k3) | Key (fb:type.object.key)                      | /authority/openlibrary/book/moha...9202a8c04000641f800000000bb504d0 |
| Mohammed, the Arabian prophet (fb:m.069v7k3) | Name (fb:type.object.name)                    | Mohammed, the Arabian prophet (en)                                  |
| Mohammed, the Arabian prophet (fb:m.069v7k3) | Notable for (fb:common.topic.notable_for)     | fb:g.125dtc7g_                                                      |
| Mohammed, the Arabian prophet (fb:m.069v7k3) | Notable types (fb:common.topic.notable_types) | Book (fb:m.01xryvm)                                                 |
| Mohammed, the Arabian prophet (fb:m.069v7k3) | Author (fb:book.written_work.author)          | George Henry Miles (fb:m.083mrr)                                    |
| Mohammed, the Arabian prophet (fb:m.069v7k3) | rdf:type                                      | Topic (fb:common.topic)                                             |
| Mohammed, the Arabian prophet (fb:m.069v7k3) | fb:kg.object_profile.prominent_type           | Book (fb:book.book)                                                 |
| Mohammed, the Arabian prophet (fb:m.069v7k3) | fbkey:authority.openlibrary.book              | mohammed_9202a8c04000641f800000000bb504d0                           |
| Mohammed, the Arabian prophet (fb:m.069v7k3) | fbkey:en                                      | mohammed_the_arabian_prophet                                        |
| ...                                          | ...                                           | ...                                                                 |

[Assistant]
The entity "Mohammed, the Arabian prophet" (fb:m.069v7k3) appears to be a book rather than the actual person entity for the prophet Mohammed. It does not have properties related to place of birth or origin.

I will try a different approach: I will search for the entity "Mohammed" alone to see if there is a more appropriate entity representing the prophet Mohammed as a person.

[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" alone did not return an entity clearly representing the prophet Mohammed as a person. The results mostly include people with the name Mohammed in various professions and other unrelated entities.

I will try searching for "Muhammad" (an alternative spelling) to see if that yields a more relevant entity for the prophet Mohammed.

[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 a very relevant entity: "Muhammad in Islam" (fb:m.04s9n), which is described as Muḥammad ibn ʿAbd Allāh, the Islamic prophet. This seems to be the correct entity representing the prophet Mohammed.

Next, I will look for properties of this entity that might indicate his place of origin or birthplace.

[Tool]
Got 1,846 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                                            | object                                                                   |
| ------------------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Muhammad in Islam (fb:m.04s9n) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Muhammad in Islam (fb:m.04s9n) | Key (fb:type.object.key)                                            | /authority/us/gov/loc/na/n79130881                                       |
| Muhammad in Islam (fb:m.04s9n) | Name (fb:type.object.name)                                          | Mahoma (ca)                                                              |
| Muhammad in Islam (fb:m.04s9n) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%45%2D%45%2F>                              |
| Muhammad in Islam (fb:m.04s9n) | Notable for (fb:common.topic.notable_for)                           | fb:g.125fwcqy7                                                           |
| Muhammad in Islam (fb:m.04s9n) | Notable types (fb:common.topic.notable_types)                       | Military Commander (fb:m.02h77nv)                                        |
| Muhammad in Islam (fb:m.04s9n) | Description (fb:common.topic.description)                           | Abū al-kāsim Muḥamad ibn ʿAbd Al...red njim drugi islamski preroki. (sl) |
| Muhammad in Islam (fb:m.04s9n) | Article (fb:common.topic.article)                                   | fb:m.04s9z                                                               |
| Muhammad in Islam (fb:m.04s9n) | Also known as (fb:common.topic.alias)                               | Abu al-Kvasim Mohamed Ibn Abd Alah Ibn Abd al-Mutalib Ibn Hašim (sl)     |
| Muhammad in Islam (fb:m.04s9n) | Has value (fb:freebase.valuenotation.has_value)                     | Height (fb:m.025d7wc)                                                    |
| ...                            | ...                                                                 | ...                                                                      |

[Assistant] The entity "Muhammad in Islam" (fb:m.04s9n) has many properties. I will now search for properties related to birthplace, place of birth, or origin to find where the prophet Mohammed was from. I will search for properties of this entity with keywords like "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. 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 indicate where the prophet Mohammed was from.

I will now write a SPARQL query to retrieve the place of birth for the prophet Mohammed using this property. I will also try to get the label of the place of birth if available.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of birth of the prophet Mohammed using the appropriate entity and property from the Freebase knowledge graph. The query returns the identifier and the English label of the place, which is Mecca, matching the human-readable answer. The query is well-formed, uses optional labeling correctly, and the result is accurate and complete. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?parent ?parentName WHERE {
  fb:m.02vntj fb:people.person.parents ?parent .
  OPTIONAL {
    ?parent fb:type.object.name ?parentName
  }
}

Got 17 rows and 2 columns, showing the first 5 and last 5 rows below:
| parent                                | parentName                  |
| ------------------------------------- | --------------------------- |
| Gerald Hathaway (fb:m.07ylp26)        | Gerald Hathaway (de)        |
| Gerald Hathaway (fb:m.07ylp26)        | Gerald Hathaway (en)        |
| Gerald Hathaway (fb:m.07ylp26)        | Gerald Hathaway (hu)        |
| Gerald Hathaway (fb:m.07ylp26)        | Gerald Hathaway (nl)        |
| Gerald Hathaway (fb:m.07ylp26)        | Gerald Hathaway (pt)        |
| ...                                   | ...                         |
| Kate McCauley Hathaway (fb:m.07ylp2d) | Kate McCauley Hathaway (en) |
| Kate McCauley Hathaway (fb:m.07ylp2d) | Kate McCauley Hathaway (hr) |
| Kate McCauley Hathaway (fb:m.07ylp2d) | Kate McCauley Hathaway (nl) |
| Kate McCauley Hathaway (fb:m.07ylp2d) | Kate McCauley Hathaway (ro) |
| Kate McCauley Hathaway (fb:m.07ylp2d) | Kate McCauley Hathaway (sl) |

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] To answer the question "Who are Anne Hathaway's parents?" I will first search for the entity "Anne Hathaway" in the Freebase knowledge graph to get her identifier. Then, I will look for properties related to her parents.

[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] The most relevant entity for Anne Hathaway, the American actress, is fb:m.02vntj. Next, I will search for properties related to her parents using this entity.

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

No other items found

[Assistant] The property "Parents" (fb:people.person.parents) is the relevant property to find Anne Hathaway's parents. I will now construct a SPARQL query to retrieve the parents of Anne Hathaway (fb:m.02vntj).

[Tool]
Got 17 rows and 2 columns, showing the first 5 and last 5 rows below:
| parent                                | parentName                  |
| ------------------------------------- | --------------------------- |
| Gerald Hathaway (fb:m.07ylp26)        | Gerald Hathaway (de)        |
| Gerald Hathaway (fb:m.07ylp26)        | Gerald Hathaway (en)        |
| Gerald Hathaway (fb:m.07ylp26)        | Gerald Hathaway (hu)        |
| Gerald Hathaway (fb:m.07ylp26)        | Gerald Hathaway (nl)        |
| Gerald Hathaway (fb:m.07ylp26)        | Gerald Hathaway (pt)        |
| ...                                   | ...                         |
| Kate McCauley Hathaway (fb:m.07ylp2d) | Kate McCauley Hathaway (en) |
| Kate McCauley Hathaway (fb:m.07ylp2d) | Kate McCauley Hathaway (hr) |
| Kate McCauley Hathaway (fb:m.07ylp2d) | Kate McCauley Hathaway (nl) |
| Kate McCauley Hathaway (fb:m.07ylp2d) | Kate McCauley Hathaway (ro) |
| Kate McCauley Hathaway (fb:m.07ylp2d) | Kate McCauley Hathaway (sl) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the parents of Anne Hathaway along with their names from the Freebase knowledge graph. The answer provided is accurate and complete, listing Gerald Hathaway and Kate McCauley Hathaway as her parents. The query uses the appropriate properties and entities, and the execution result confirms the correctness of the answer. No further refinement is necessary.


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

Got 1 row and 1 column:
| professionLabel |
| --------------- |
| Actor (en)      |

Helen Flanagan is an English actress and is known as a film and TV actor according to the knowledge graph. There is no explicit mention of her being a model in the knowledge graph.

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

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

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

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

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

[User] what does helen flanagan do?

[Assistant]
The user is asking about what Helen Flanagan does, which likely refers to her occupation or profession. To answer this, I need to:

1. Search for the entity "Helen Flanagan" in the Freebase knowledge graph.
2. Identify properties related to occupation or profession for this entity.
3. Retrieve the values of these properties to answer what Helen Flanagan does.

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

[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]
I found multiple entities named Helen Flanagan. The most relevant one seems to be "Helen Flanagan, also known as Helen Daniella Flanagan," who is described as an English actress, model, and TV actor. There is also another Helen Flanagan who is a cinematographer, and a fictional character named Helen Flanagan.

Since the user likely refers to the well-known Helen Flanagan who is an actress and model, I will now look for properties related to occupation or profession for this entity (fb:m.087k1_).

[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 describe what Helen Flanagan does. I will now query the values of this property for the entity Helen Flanagan (fb:m.087k1_) to find out her professions.

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

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

[Assistant]
The query results show that Helen Flanagan's profession is listed as "Actor." Given the initial entity description also mentioned model and TV actor, I will check if there are other related professions or occupations linked to her that might not be captured under the "profession" property but could be under other related properties such as "type" or "occupation."

I will search for other properties related to occupation or type for this entity to see if there are additional relevant roles.

[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

[Tool]
Got 9 rows and 2 columns:
| type                                                                    | typeLabel                    |
| ----------------------------------------------------------------------- | ---------------------------- |
| Award Nominee (fb:award.award_nominee)                                  | Award Nominee (en)           |
| Agent (fb:base.type_ontology.agent)                                     | Agent (en)                   |
| Animate (fb:base.type_ontology.animate)                                 | Animate (en)                 |
| Physically Instantiable (fb:base.type_ontology.physically_instantiable) | Physically Instantiable (en) |
| Topic (fb:common.topic)                                                 | Topic (en)                   |
| Film actor (fb:film.actor)                                              | Film actor (en)              |
| Influence Node (fb:influence.influence_node)                            | Influence Node (en)          |
| Person (fb:people.person)                                               | Person (en)                  |
| TV Actor (fb:tv.tv_actor)                                               | TV Actor (en)                |

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

[Assistant]
Helen Flanagan is identified as an "Actor" under the profession property. Additionally, the types associated with her include "Film actor" and "TV Actor," which further specify her acting roles. There is no direct mention of "model" in the profession or type properties, but the main occupation is clearly acting.

I will now finalize the answer stating that Helen Flanagan is an actor, including the information about film and TV acting.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer correctly identifies Helen Flanagan as an actor, which matches the profession found in the query result. However, the question is open-ended and could include other professions or roles she is known for, such as model or TV personality, if available in the knowledge graph. The SPARQL query currently retrieves only one profession label, but it should be refined to retrieve all professions associated with Helen Flanagan to provide a more complete answer. Also, the answer could mention that she is an English actress and model for more context.

[Assistant] Thank you for the feedback. I will refine the query to retrieve all professions associated with Helen Flanagan to provide a more complete answer. I will also include the information that she is English and mention her modeling profession if available in the knowledge graph. I will now update the query accordingly.

[Tool]
Got 1 row and 1 column:
| professionLabel |
| --------------- |
| Actor (en)      |

[Tool]
Got 9 rows and 1 column:
| typeLabel                    |
| ---------------------------- |
| Agent (en)                   |
| Animate (en)                 |
| Award Nominee (en)           |
| Film actor (en)              |
| Influence Node (en)          |
| Person (en)                  |
| Physically Instantiable (en) |
| Topic (en)                   |
| TV Actor (en)                |

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Assistant]
The knowledge graph only lists Helen Flanagan's profession as "Actor" and types related to acting such as "Film actor" and "TV Actor." There is no explicit mention of "model" or other professions in the properties checked. The description or comment property is also not available.

I will finalize the answer stating that Helen Flanagan is an English actress and TV and film actor, as this is the most accurate information available from the knowledge graph.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer correctly identifies Helen Flanagan as an actor, which aligns with the profession retrieved by the SPARQL query. However, the answer could be improved by including all relevant professions if available, such as 'model' or other roles, since Helen Flanagan is known for multiple professions. The SPARQL query currently retrieves only one profession label 'Actor'. To provide a more complete answer, the query should be checked or refined to ensure it retrieves all professions associated with Helen Flanagan. Additionally, the answer should mention that she is an English actress and model, as per the entity description, to give a fuller picture of what she does.

[Assistant]
The feedback suggests that the answer should include all relevant professions associated with Helen Flanagan, such as "model," if available, to provide a more complete picture. The current query only retrieves one profession label "Actor." I will refine the approach to check if there are other properties or ways to find additional professions or roles like "model" for Helen Flanagan in the knowledge graph.

I will search for all properties and values related to Helen Flanagan that might indicate her professions or roles, focusing on properties that might capture "model" or similar roles.

[Tool]
Got 134 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                                                            | object                                                                   |
| ---------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Helen Flanagan (fb:m.087k1_) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Helen Flanagan (fb:m.087k1_) | Key (fb:type.object.key)                                            | /authority/daylife/topic/0gSP1AG1Cjeuq                                   |
| Helen Flanagan (fb:m.087k1_) | Name (fb:type.object.name)                                          | Helen Flanagan (en)                                                      |
| Helen Flanagan (fb:m.087k1_) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%47%4A%44%4A%46_%41%44%27%46%27%3A%27%46>  |
| Helen Flanagan (fb:m.087k1_) | Notable for (fb:common.topic.notable_for)                           | fb:g.125bd4dls                                                           |
| Helen Flanagan (fb:m.087k1_) | Notable types (fb:common.topic.notable_types)                       | TV Actor (fb:m.01xrzlq)                                                  |
| Helen Flanagan (fb:m.087k1_) | Description (fb:common.topic.description)                           | Helen Joyce Flanagan es una actr...ie Webster en Coronation Street. (es) |
| Helen Flanagan (fb:m.087k1_) | Article (fb:common.topic.article)                                   | fb:m.087k24                                                              |
| Helen Flanagan (fb:m.087k1_) | Also known as (fb:common.topic.alias)                               | Helen Daniella Flanagan (en)                                             |
| Helen Flanagan (fb:m.087k1_) | Gender (fb:people.person.gender)                                    | Female (fb:m.02zsn)                                                      |
| ...                          | ...                                                                 | ...                                                                      |

[Tool]
Got 1 row and 3 columns:
| subject                      | property                                 | object               |
| ---------------------------- | ---------------------------------------- | -------------------- |
| Helen Flanagan (fb:m.087k1_) | Profession (fb:people.person.profession) | Actor (fb:m.02hrh1q) |

[Tool]
Got 1 row and 3 columns:
| subject                      | property                                      | object                  |
| ---------------------------- | --------------------------------------------- | ----------------------- |
| Helen Flanagan (fb:m.087k1_) | Notable types (fb:common.topic.notable_types) | TV Actor (fb:m.01xrzlq) |

[Tool]
Got 1 row and 3 columns:
| subject                      | property                                  | object         |
| ---------------------------- | ----------------------------------------- | -------------- |
| Helen Flanagan (fb:m.087k1_) | Notable for (fb:common.topic.notable_for) | fb:g.125bd4dls |

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject        | property                                              | object                              |
| -------------- | ----------------------------------------------------- | ----------------------------------- |
| fb:g.125bd4dls | Display name (fb:common.notable_for.display_name)     | Acteur (fr)                         |
| fb:g.125bd4dls | Type (fb:type.object.type)                            | notable_for (fb:common.notable_for) |
| fb:g.125bd4dls | notable object (fb:common.notable_for.notable_object) | Actor (fb:m.02hrh1q)                |
| fb:g.125bd4dls | Predicate (fb:common.notable_for.predicate)           | /people/person/profession           |
| fb:g.125bd4dls | rdf:type                                              | notable_for (fb:common.notable_for) |
| fb:g.125bd4dls | fb:common.notable_for.object                          | Actor (fb:m.02hrh1q)                |
| fb:g.125bd4dls | Display name (fb:common.notable_for.display_name)     | Actor (en)                          |
| fb:g.125bd4dls | Display name (fb:common.notable_for.display_name)     | Actor (es)                          |
| fb:g.125bd4dls | Display name (fb:common.notable_for.display_name)     | Ator (pt)                           |
| fb:g.125bd4dls | Display name (fb:common.notable_for.display_name)     | Attore (it)                         |
| ...            | ...                                                   | ...                                 |

[Assistant]
The knowledge graph lists Helen Flanagan's profession only as "Actor" under the profession property and notable types as "TV Actor." There is no explicit mention of "model" or other professions in the properties checked. The notable_for property also points to "Actor."

Given this, the knowledge graph does not provide additional professions such as "model" for Helen Flanagan. I will finalize the answer stating that Helen Flanagan is an English actress and TV and film actor, as this is the most accurate information available from the knowledge graph.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
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 came from 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]
The question "Where did Kim Kardashian come from?" is asking about the origin or place of birth of Kim Kardashian. To answer this, I need to find the entity for Kim Kardashian in the Freebase knowledge graph and then find the property that indicates her place of birth or origin.

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

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

[Assistant] The entity for Kim Kardashian in Freebase is fb:m.0261x8t. Now I will search for properties related to "place of birth" or "origin" for this entity to find where Kim Kardashian came from.

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

No other items found

[Assistant] The property "Place of birth" (fb:people.person.place_of_birth) is available for the entity Kim Kardashian (fb:m.0261x8t). 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

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of birth of Kim Kardashian from the Freebase knowledge graph, returning both the identifier and the English label. The answer "Kim Kardashian came from Los Angeles" is accurate and directly supported by the query result. The query follows the rules by returning the actual identifier and an optional label. No further refinement is necessary.


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

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

These are some Supreme Court cases (U.S.) retrieved from the knowledge graph, including Burwell v. Hobby Lobby, Schuette v. Coalition to Defend Affirmative Action, Myers v. United States, Riley v. California, New York Times Co. v. Sullivan, and Worcester v. Georgia, among others.

[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]
The user is asking for "supreme court cases." This is a broad query that could refer to cases decided by the Supreme Court of a specific country, most commonly the United States Supreme Court. Since the user did not specify a country, I will assume they mean the U.S. Supreme Court cases.

Step 1: Identify entities and properties:
- Entity: Supreme Court cases (likely cases decided by the U.S. Supreme Court)
- Property: We want to find entities that are Supreme Court cases.

Step 2: Search for entities related to "Supreme Court case" in Freebase to find the relevant class or type.

I will start by searching for entities with the query "Supreme Court case" to see if there is a class or type for such 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 for "Supreme Court case" returned mostly books and acts related to Supreme Court cases, but not a direct class or type for Supreme Court cases themselves. There is no direct entity representing the concept of "Supreme Court case" as a class.

Next, I will try to find if there is a class or type for "court case" or "legal case" in Freebase and then filter for those related to the Supreme Court. I will search for "court case" to see if there is a relevant class.

[Tool]
Top 10 entity alternatives:
1. Trial, also known as court case, Legal case (fb:m.0852v5q): a base type for any kind of trial
2. Series 3, Episode 2, also known as Court Case (fb:m.07l0z7n): has type TV Episode
3. Court Case (fb:m.0dwxct1): has type Musical Recording
4. Court Case (fb:m.0krs8ld): Steve and Alex find themselves on opposite sides of a court case., has type TV Episode
5. Court Case (fb:m.0g29lgv): has type Musical Recording
6. Court Case (fb:m.0mxsv_p)
7. Court Case (fb:m.0mc362f)
8. Court Cases (fb:m.01dg15g): has type Musical Recording
9. Court Cases (fb:m.0l6tz1z)
10. Babiniotis dictionary court case, also known as Bampiniotis dictionary court case (fb:m.0bmd3q1): The court case of the Babiniotis dictionary was fought in Greece...essors, and later the court case was reviewed by a higher court.

[Assistant]
There is an entity "Trial, also known as court case, Legal case" (fb:m.0852v5q) which is a base type for any kind of trial or court case. This could be a useful class to find court cases.

Next, I will try to find properties related to this entity to see if there is a property that links a court case to the Supreme Court or the court that decided the case. I will search for properties of the entity fb:m.0852v5q with the query "court" or "court name" or "court type."

[Tool]
Top 10 property alternatives:
1. Key (fb:type.object.key): part of Object schema, links to type Key
2. Permission (fb:type.object.permission): links to type Permission, part of Object schema
3. Domain (fb:type.type.domain): links to type Domain, part of Type schema
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. ID (fb:type.object.id): part of Object schema, links to type Id
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Property Count (fb:freebase.type_profile.property_count): part of Type Profile schema, links to type Integer
9. Article (fb:common.topic.article): links to type Document, part of Topic schema
10. Equivalent Topic (fb:freebase.type_profile.equivalent_topic): links to type Type/domain equivalent topic, part of Type Profile schema

No other items found

[Assistant]
The search for properties related to "court" for the entity "Trial, also known as court case, Legal case" did not return any specific properties related to the court that decided the case.

Next, I will try to search for properties related to "court" in general to see if there is a property that links a case to a court. This might help us find Supreme Court cases by filtering on the court property.

[Tool]
Top 10 property alternatives:
1. Court (fb:base.crime.appeal.court): links to type Appellate court, part of Appeal schema
2. Court (fb:base.lawbase.court_decision.court): part of Court decision schema, links to type Court
3. Court (fb:base.canadianlaw.case.court): part of Legal Case schema, links to type Court
4. Court (fb:law.court_courthouse_relationship.court): part of Court-courthouse relationship schema, links to type Court
5. Court (fb:user.rca.default_domain.us_court_decision.court): part of US Court Decision schema, links to type Court
6. Court (fb:base.morelaw.legal_case.court): part of Trial schema, links to type Court
7. Court (fb:law.legal_case.court): part of Legal case schema, links to type Court
8. Court (fb:base.morelaw.canadian_judge.court): part of Canadian Judge schema, links to type Court
9. Court (fb:base.morelaw.legal_system.court): part of Legal system schema, links to type Court
10. Court (fb:law.judicial_tenure.court): part of Judicial tenure schema, links to type Court

[Assistant]
There are multiple properties named "Court" related to different schemas. The most relevant ones for legal cases or court decisions seem to be:

- fb:base.lawbase.court_decision.court
- fb:base.morelaw.legal_case.court
- fb:law.legal_case.court

I will check the domain and range of the property fb:base.morelaw.legal_case.court to see if it is related to the entity "Trial, also known as court case, Legal case" and if it links to a court entity.

[Tool]
Got 289 rows and 3 columns, showing the first 10 rows below:
| subject                                                                            | property                                 | object                               |
| ---------------------------------------------------------------------------------- | ---------------------------------------- | ------------------------------------ |
| Ford v Quebec (AG) (fb:m.01g69s)                                                   | Court (fb:base.morelaw.legal_case.court) | Supreme Court of Canada (fb:m.0x2jd) |
| City of New York v. Kingsley Books (fb:m.0m4f90y)                                  | Court (fb:base.morelaw.legal_case.court) | New York Supreme Court (fb:m.01n8xj) |
| Hill v Church of Scientology of Toronto (fb:m.01hfxt)                              | Court (fb:base.morelaw.legal_case.court) | Supreme Court of Canada (fb:m.0x2jd) |
| R v Duarte (fb:m.025_905)                                                          | Court (fb:base.morelaw.legal_case.court) | Supreme Court of Canada (fb:m.0x2jd) |
| EB v Order of the Oblates of Mar...the Province of British Columbia (fb:m.025vj_2) | Court (fb:base.morelaw.legal_case.court) | Supreme Court of Canada (fb:m.0x2jd) |
| Miglin v Miglin (fb:m.025x5pw)                                                     | Court (fb:base.morelaw.legal_case.court) | Supreme Court of Canada (fb:m.0x2jd) |
| Canada (AG) v Ward (fb:m.025xyp8)                                                  | Court (fb:base.morelaw.legal_case.court) | Supreme Court of Canada (fb:m.0x2jd) |
| Canadian Aero Service Ltd v O'Malley (fb:m.025z93y)                                | Court (fb:base.morelaw.legal_case.court) | Supreme Court of Canada (fb:m.0x2jd) |
| Peso Silver Mines Ltd v Cropper (fb:m.02653pc)                                     | Court (fb:base.morelaw.legal_case.court) | Supreme Court of Canada (fb:m.0x2jd) |
| Chartier v Chartier (fb:m.0269dn8)                                                 | Court (fb:base.morelaw.legal_case.court) | Supreme Court of Canada (fb:m.0x2jd) |
| ...                                                                                | ...                                      | ...                                  |

[Assistant]
The property fb:base.morelaw.legal_case.court links legal cases to courts. The example results show cases linked to the "Supreme Court of Canada" and other courts.

Since the user likely means the U.S. Supreme Court, I will search for the entity "Supreme Court of the United States" to get its IRI. Then I will query for legal cases that have this court as their court property.

I will search for "Supreme Court of the United States" entity next.

[Tool]
Top 10 entity alternatives:
1. Supreme Court of the United States, also known as United States Supreme Court, U.S. Supreme Court, us supreme court, SCOTUS (fb:m.07sz1): The Supreme Court of the United States is the highest federal co...efs that track with those philosophical or political categories., has type Court
2. The Supreme Court of the United States (fb:m.068xzg8): has type Book
3. The Supreme Court of the United States (fb:m.06hd54w): has type Book
4. The Supreme Court of the United States (fb:m.06v1f6r): has type Book
5. The Supreme Court of the United States (fb:m.06vvjt0): has type Book
6. Supreme Court of the United States (fb:m.03s6x67)
7. Supreme Court of the United States (fb:m.07pwv4y)
8. Supreme Court of the United States (fb:m.0bk60s7)
9. Demographics of the Supreme Court of the United States (fb:m.0118p_hr): The demographics of the Supreme Court of the United States encom...he 21st century saw the first appointment of a Hispanic justice.
10. Clerk of the Supreme Court of the United States (fb:m.02qr0s7): The Clerk of the Supreme Court of the United States is the offic...d maintaining its records. The current Clerk is Scott S. Harris., has type Government Office or Title

[Assistant]
The entity for the Supreme Court of the United States is fb:m.07sz1.

Now I will write a SPARQL query to get legal cases that have the court property fb:base.morelaw.legal_case.court with the object fb:m.07sz1 (Supreme Court of the United States). I will limit the results to 100 cases for manageability and include their labels.

[Tool] Got no rows and 2 columns

[Assistant]
The query returned no results for legal cases linked to the Supreme Court of the United States using the property fb:base.morelaw.legal_case.court.

I will try another property related to court for legal cases: fb:law.legal_case.court. I will run the same query but with this property instead.

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

[Assistant]
I found legal cases that are linked to the Supreme Court of the United States using the property fb:law.legal_case.court. The query returned 100 cases with their labels.

I will now provide the final answer with a SPARQL query that retrieves Supreme Court cases (U.S.) and their labels.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves Supreme Court cases from the knowledge graph by filtering legal cases with the court property set to the Supreme Court of the United States. The query also optionally retrieves English labels for the cases, which helps provide a human-readable answer. The answer lists several well-known Supreme Court cases as examples, which matches the query results. The query and answer are appropriate and complete for the user's question about Supreme Court cases.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?wifeName WHERE {
  fb:m.018fzs fb:people.person.spouse_s ?marriage .
  ?marriage fb:people.marriage.spouse ?wife .
  ?wife fb:type.object.name ?wifeName .
  FILTER ( ?wife != fb:m.018fzs )
}

Got 11 rows and 1 column, showing the first 5 and last 5 rows below:
| wifeName               |
| ---------------------- |
| Callista Gingrich (en) |
| Callista Gingrich (fr) |
| Callista Gingrich (it) |
| Callista Gingrich (pl) |
| Callista Gingrich (pt) |
| ...                    |
| Jackie Battley (it)    |
| Jackie Battley (pl)    |
| Marianne Ginther (en)  |
| Marianne Ginther (it)  |
| Marianne Ginther (pl)  |

Newt Gingrich has had multiple wives. Their names include Callista Gingrich, Jackie Battley, and Marianne Ginther.

[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] To answer the question "What is Newt Gingrich's wife's name?" I will first search for the entity "Newt Gingrich" in the Freebase knowledge graph to get its identifier. Then, I will look for the property that relates Newt Gingrich to his wife or spouse. Finally, I will query the knowledge graph to get the name of Newt Gingrich's wife. Let's start by searching for the entity "Newt Gingrich."

[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 in Freebase is fb:m.018fzs. Next, I will search for properties related to "wife" or "spouse" for this entity to find the relevant 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 relevant property for Newt Gingrich's wife is "Spouse (or domestic partner)" with the identifier fb:people.person.spouse_s. Now I will query the knowledge graph to find the spouse of Newt Gingrich (fb:m.018fzs) using this property.

[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 their names were not included in the results. I will now query the names of these three spouses to identify Newt Gingrich's wife's name(s).

[Tool] Got no rows and 2 columns

[Assistant] The query to get the names of the spouses did not return any results. It seems the direct property fb:type.object.name may not be the correct one for the spouse entities' names. I will try to find another property that provides the name or label for these spouse entities. I will check the properties of one of the spouse entities (fb:m.0hybx80) to find a suitable property for the name.

[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, and it has a property fb:people.marriage.spouse that links to the spouse entity Callista Gingrich (fb:m.05znhhq). I will now get the name of the spouse entity Callista Gingrich (fb:m.05znhhq).

[Tool]
Got 5 rows and 1 column:
| name                   |
| ---------------------- |
| Callista Gingrich (en) |
| Callista Gingrich (fr) |
| Callista Gingrich (it) |
| Callista Gingrich (pl) |
| Callista Gingrich (pt) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query returns the name of Callista Gingrich, but it does not explicitly link Newt Gingrich to his wife. The query should be refined to start from Newt Gingrich's entity and find his spouse, then retrieve the spouse's name. This ensures the answer directly addresses the user's question about Newt Gingrich's wife's name rather than just returning the name of Callista Gingrich without context.

[Assistant] Thank you for the feedback. I will refine the SPARQL query to explicitly start from Newt Gingrich's entity, find his spouse through the marriage entity, and then retrieve the spouse's name. This will directly link Newt Gingrich to his wife in the query result. I will now construct and execute the refined query.

[Tool]
Got 107 rows and 2 columns, showing the first 5 and last 5 rows below:
| wife                           | wifeName              |
| ------------------------------ | --------------------- |
| Newt Gingrich (fb:m.018fzs)    | Newt Gingrich (ca)    |
| Newt Gingrich (fb:m.018fzs)    | Newt Gingrich (cs)    |
| Newt Gingrich (fb:m.018fzs)    | Newt Gingrich (da)    |
| Newt Gingrich (fb:m.018fzs)    | Newt Gingrich (de)    |
| Newt Gingrich (fb:m.018fzs)    | Newt Gingrich (en)    |
| ...                            | ...                   |
| Marianne Ginther (fb:m.0661_f) | Marianne Ginther (it) |
| Marianne Ginther (fb:m.0661_f) | Marianne Ginther (pl) |
| Jackie Battley (fb:m.0j1782w)  | Jackie Battley (en)   |
| Jackie Battley (fb:m.0j1782w)  | Jackie Battley (it)   |
| Jackie Battley (fb:m.0j1782w)  | Jackie Battley (pl)   |

[Assistant] The refined query returned multiple spouses for Newt Gingrich, including names like Jackie Battley and Marianne Ginther, along with Newt Gingrich himself (likely due to data representation). To provide a clear answer, I will filter out Newt Gingrich himself and focus on the distinct spouse names. I will refine the query to exclude Newt Gingrich from the spouse results and return distinct spouse names.

[Tool]
Got 11 rows and 1 column, showing the first 5 and last 5 rows below:
| wifeName               |
| ---------------------- |
| Callista Gingrich (en) |
| Callista Gingrich (fr) |
| Callista Gingrich (it) |
| Callista Gingrich (pl) |
| Callista Gingrich (pt) |
| ...                    |
| Jackie Battley (it)    |
| Jackie Battley (pl)    |
| Marianne Ginther (en)  |
| Marianne Ginther (it)  |
| Marianne Ginther (pl)  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the names of Newt Gingrich's wives by navigating from Newt Gingrich's entity through the spouse relationship to the marriage entity and then to the spouse persons. The query also filters out Newt Gingrich himself to avoid self-reference. The result includes multiple wives, which is accurate as Newt Gingrich has had multiple spouses. The answer lists the names clearly and matches the query results. The query and answer follow the rules by returning identifiers and names without unnecessary early stopping or external computation. Overall, the output is correct and complete.