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 related to the language spoken there. I will start by searching 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 will search for properties related to language or spoken language for this entity to find the language spoken in the Czech Republic.

[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 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


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 .
  }
}
LIMIT 10

Got 10 rows and 2 columns:
| placeOfBirth       | placeOfBirthLabel |
| ------------------ | ----------------- |
| Mecca (fb:m.058wp) | La Meca (ca)      |
| Mecca (fb:m.058wp) | La Meca (es)      |
| Mecca (fb:m.058wp) | La Mecca (it)     |
| Mecca (fb:m.058wp) | La Mecque (fr)    |
| Mecca (fb:m.058wp) | Makkah (ms)       |
| Mecca (fb:m.058wp) | Meca (pt)         |
| Mecca (fb:m.058wp) | Mecca (en)        |
| Mecca (fb:m.058wp) | Mecca (ro)        |
| Mecca (fb:m.058wp) | Mecca (vi)        |
| Mecca (fb:m.058wp) | Mecka (sv)        |

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 birth.

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

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

[Assistant]
The search for "prophet Mohammed" returned mostly books and other unrelated entities. The closest relevant entity seems to be "Mohammed, the Arabian prophet" (fb:m.069v7k3), but it is typed as a Book, which is not correct for the prophet himself.

I will try searching for just "Mohammed" to see if there is a more direct entity for the prophet Mohammed.

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

[Assistant]
The search for "Mohammed" did not return an entity clearly representing the prophet Mohammed either. The results mostly include people with the name Mohammed, musical recordings, and other unrelated entities.

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

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

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

No other items found

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

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

[Tool]
Got 10 rows and 2 columns:
| placeOfBirth       | placeOfBirthLabel |
| ------------------ | ----------------- |
| Mecca (fb:m.058wp) | La Meca (ca)      |
| Mecca (fb:m.058wp) | La Meca (es)      |
| Mecca (fb:m.058wp) | La Mecca (it)     |
| Mecca (fb:m.058wp) | La Mecque (fr)    |
| Mecca (fb:m.058wp) | Makkah (ms)       |
| Mecca (fb:m.058wp) | Meca (pt)         |
| Mecca (fb:m.058wp) | Mecca (en)        |
| Mecca (fb:m.058wp) | Mecca (ro)        |
| Mecca (fb:m.058wp) | Mecca (vi)        |
| Mecca (fb:m.058wp) | Mecka (sv)        |

[Tool] Stopped generation process


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 identify the correct entity IRI. Then, I will look for properties related to "parents" or "parent" for that entity to find the relevant information.

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

[Assistant] There are multiple entities named Anne Hathaway in Freebase. The first one (fb:m.02vntj) is Anne Jacqueline Hathaway, an American actress, which matches the most likely person the user is referring to. I will now search for properties related to "parents" or "parent" for this entity to find the relevant information.

[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 available for the entity Anne Hathaway (fb:m.02vntj). I will now query the parents of Anne Hathaway using this property.

[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) |

[Assistant] Anne Hathaway's parents are Gerald Hathaway and Kate McCauley Hathaway. I will now provide the final answer with their identifiers and names.

[Tool] Stopped generation process


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

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

Helen Flanagan is an actor according to the Freebase 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 will first search for the entity "Helen Flanagan" in the Freebase knowledge graph to find her identifier. Then, I will look for properties related to occupation or profession for that entity. Finally, I will construct a SPARQL query to retrieve her occupation(s).

Step 1: Search 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]
There are multiple entities named Helen Flanagan. The most relevant one seems to be the first result: Helen Flanagan (fb:m.087k1_), described as an English actress, model, and TV actor. This matches the common knowledge about Helen Flanagan, the actress.

Next, I will search for properties related to occupation or profession for this entity to find out what she does.

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

No other items found

[Assistant]
The property "Profession" (fb:people.person.profession) is the most suitable to find out what Helen Flanagan does.

I will now construct a SPARQL query to retrieve the profession(s) of Helen Flanagan (fb:m.087k1_). I will also include optional labels for human-readable output.

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

[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" )
  }
}
LIMIT 10

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

Kim Kardashian's place of birth is Los Angeles.

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

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

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

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

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

[User] where did kim kardashian come from?

[Assistant]
The user question is asking about the origin or place where Kim Kardashian came from. This typically refers to her place of birth or hometown.

Step 1: I will search for the entity "Kim Kardashian" in the Freebase knowledge graph to get her unique identifier.

[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] I found the entity for Kim Kardashian with the identifier fb:m.0261x8t. Now I will search for properties related to the origin or place of birth for this entity. I will search for properties related to "place of birth" or "origin" for Kim Kardashian.

[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 Kim Kardashian. I will now write a SPARQL query to retrieve the place of birth for Kim Kardashian using this property.

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

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?case ?caseLabel WHERE {
  fb:m.07sz1 fb:law.court.legal_cases ?case .
  OPTIONAL {
    ?case rdfs:label ?caseLabel .
    FILTER ( lang( ?caseLabel ) = "en" )
  }
}
LIMIT 20

Got 20 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)                                                 |
| ...                                                                                | ...                                                                      |
| Civil Rights Cases (fb:m.012myv)                                                    | Civil Rights Cases (en)                                                  |
| Munn v. Illinois (fb:m.012mz5)                                                      | Munn v. Illinois (en)                                                    |
| Fletcher v. Peck (fb:m.012mzj)                                                      | Fletcher v. Peck (en)                                                    |
| Cohens v. Virginia (fb:m.012n00)                                                    | Cohens v. Virginia (en)                                                  |
| Gibbons v. Ogden (fb:m.012n0c)                                                      | Gibbons v. Ogden (en)                                                    |

The Supreme Court cases include Burwell v. Hobby Lobby, Motor Vehicles Manufacturers Ass... Mutual Automobile Insurance Co., Schuette v. Coalition to Defend Affirmative Action, Myers v. United States, Riley v. California, Civil Rights Cases, Munn v. Illinois, Fletcher v. Peck, Cohens v. Virginia, and Gibbons v. Ogden among others. These are some of the legal cases associated with the Supreme Court of the United States.

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

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

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

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

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

[User] what are the supreme court cases?

[Assistant]
The user is asking for "supreme court cases." This is a broad query. To clarify, "supreme court cases" could refer to cases decided by the Supreme Court of the United States or supreme courts of other countries. Since the user did not specify a country, I will assume they mean the Supreme Court of the United States, as it is the most commonly referred to supreme court.

Step 1: Identify entities and properties:
- Entity: Supreme Court (likely the Supreme Court of the United States)
- Property: cases decided by this court

Step 2: Search for the entity "Supreme Court of the United States" in Freebase.
Step 3: Search for properties related to cases or decisions of this court.

I will start by searching for the entity "Supreme Court of the United States" in Freebase.

[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 "Supreme Court of the United States" is identified with the Freebase ID fb:m.07sz1. This entity is of type Court and represents the highest federal court in the United States.

Next, I will search for properties related to "cases" or "decisions" for this entity to find how cases decided by this court are represented in the knowledge graph.

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

No other items found

[Assistant]
The property "Legal cases" (fb:law.court.legal_cases) is linked to the type Legal case and is part of the Court schema. This property likely represents the cases associated with the Supreme Court.

I will now construct a SPARQL query to retrieve the legal cases of the Supreme Court of the United States (fb:m.07sz1). I will also try to get the labels of these cases for better readability.

[Tool]
Got 20 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)                                                 |
| ...                                                                                | ...                                                                      |
| Civil Rights Cases (fb:m.012myv)                                                    | Civil Rights Cases (en)                                                  |
| Munn v. Illinois (fb:m.012mz5)                                                      | Munn v. Illinois (en)                                                    |
| Fletcher v. Peck (fb:m.012mzj)                                                      | Fletcher v. Peck (en)                                                    |
| Cohens v. Virginia (fb:m.012n00)                                                    | Cohens v. Virginia (en)                                                  |
| Gibbons v. Ogden (fb:m.012n0c)                                                      | Gibbons v. Ogden (en)                                                    |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?spouse ?name WHERE {
  VALUES ?spouse {
    fb:m.05znhhq fb:m.0j1782w fb:m.0661_f
  }
  ?spouse fb:type.object.name ?name .
  FILTER ( LANG( ?name ) = "en" )
}

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

Newt Gingrich's wives are 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 his identifier. Then I will look for properties related to "wife" or "spouse" for this entity to find the relevant property. Finally, I will query the knowledge graph to get the name of Newt Gingrich's wife.

[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 to get the name of Newt Gingrich's 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 property identifier fb:people.person.spouse_s. I will now query the knowledge graph to find the spouse of Newt Gingrich using this property.

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

[Assistant] Newt Gingrich has three spouses listed in the knowledge graph, but their names are not directly shown in the results. I will now query the names of these spouses separately to get their names.

[Tool] Got no rows and 2 columns

[Assistant] The names of the spouses are not directly available with the property fb:type.object.name. I will try to get the rdfs:label or other name-related properties for these spouse entities to find their names.

[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 represents a marriage and has a spouse property pointing to Callista Gingrich (fb:m.05znhhq). I will now check the other two marriage entities for their spouse names.

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                         | object                              |
| ------------ | ------------------------------------------------ | ----------------------------------- |
| fb:m.0j1782r | Type (fb:type.object.type)                       | Marriage (fb:people.marriage)       |
| fb:m.0j1782r | Has value (fb:freebase.valuenotation.has_value)  | Location of ceremony (fb:m.02xg9mh) |
| fb:m.0j1782r | Spouse (fb:people.marriage.spouse)               | Newt Gingrich (fb:m.018fzs)         |
| fb:m.0j1782r | Type of union (fb:people.marriage.type_of_union) | Marriage (fb:m.04ztj)               |
| fb:m.0j1782r | From (fb:people.marriage.from)                   | 1962-06-19 (xsd:date)               |
| fb:m.0j1782r | To (fb:people.marriage.to)                       | 1981-02 (xsd:gYearMonth)            |
| fb:m.0j1782r | rdf:type                                         | Marriage (fb:people.marriage)       |
| fb:m.0j1782r | Spouse (fb:people.marriage.spouse)               | Jackie Battley (fb:m.0j1782w)       |

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                         | object                              |
| ------------ | ------------------------------------------------ | ----------------------------------- |
| fb:m.0j17836 | Type (fb:type.object.type)                       | Marriage (fb:people.marriage)       |
| fb:m.0j17836 | Has value (fb:freebase.valuenotation.has_value)  | Location of ceremony (fb:m.02xg9mh) |
| fb:m.0j17836 | Spouse (fb:people.marriage.spouse)               | Newt Gingrich (fb:m.018fzs)         |
| fb:m.0j17836 | Type of union (fb:people.marriage.type_of_union) | Marriage (fb:m.04ztj)               |
| fb:m.0j17836 | From (fb:people.marriage.from)                   | 1981-08-08 (xsd:date)               |
| fb:m.0j17836 | To (fb:people.marriage.to)                       | 2000-04 (xsd:gYearMonth)            |
| fb:m.0j17836 | rdf:type                                         | Marriage (fb:people.marriage)       |
| fb:m.0j17836 | Spouse (fb:people.marriage.spouse)               | Marianne Ginther (fb:m.0661_f)      |

[Assistant]
The three spouses of Newt Gingrich are:
- Callista Gingrich (fb:m.05znhhq)
- Jackie Battley (fb:m.0j1782w)
- Marianne Ginther (fb:m.0661_f)

I will now get the names of these spouse entities.

[Tool]
Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| spouse                           | name                   |
| -------------------------------- | ---------------------- |
| Callista Gingrich (fb:m.05znhhq) | Callista Gingrich (en) |
| Callista Gingrich (fb:m.05znhhq) | Callista Gingrich (fr) |
| Callista Gingrich (fb:m.05znhhq) | Callista Gingrich (it) |
| Callista Gingrich (fb:m.05znhhq) | Callista Gingrich (pl) |
| Callista Gingrich (fb:m.05znhhq) | Callista Gingrich (pt) |
| ...                              | ...                    |
| 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)    |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?actor ?actorName WHERE {
  VALUES ?performance {
    fb:m.02s9tsc fb:m.02s9tx3 fb:m.02s9tz1 fb:m.0g5ddb0 fb:m.0zfn9cq
  }
  ?performance fb:film.performance.actor ?actor .
  OPTIONAL {
    ?actor fb:type.object.name ?actorName
  }
}

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

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

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

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

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

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

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

[User] who played carmen cortez in spy kids?

[Assistant]
To answer the question "Who played Carmen Cortez in Spy Kids?", I need to identify the entity for the character "Carmen Cortez" and the entity for the movie "Spy Kids". Then, I need to find the property that relates a character to the actor who played them in a movie. Finally, I will construct a SPARQL query to retrieve the actor who played Carmen Cortez in Spy Kids.

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

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

[Assistant] I found an entity that matches Carmen Cortez as a film character: fb:m.02ql50. Now I need to find the entity for the movie "Spy Kids" to confirm the connection and then find the actor who played Carmen Cortez in that movie. I will search for the entity "Spy Kids" next.

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

[Assistant] I found an entity for the movie "Spy Kids" as a 2001 American science fantasy family adventure film: fb:m.02rrfzf. Now I will search for the property that relates a film character to the actor who played them. This property might be something like "portrayed by" or "actor". I will search for properties related to the entity Carmen Cortez (fb:m.02ql50) with the query "actor".

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

No other items found

[Assistant] The property "Portrayed in films" (fb:film.film_character.portrayed_in_films) links the film character to a film performance. I will now explore the film performances related to Carmen Cortez using this property to find the actor who played her.

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

[Assistant] The character Carmen Cortez (Baby Carmen) is portrayed in several films (five film performances). Now I will check the actors who performed in these film performances. The property that links a film performance to an actor is likely something like "actor" or "performance actor". I will search for properties of one of these film performances (e.g., fb:m.02s9tsc) with the query "actor".

[Tool]
Top 10 property alternatives:
1. Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
2. Character (fb:film.performance.character): part of Film performance schema, links to type Film character
3. Film (fb:film.performance.film): part of Film performance schema, links to type Film
4. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] The property "Actor" (fb:film.performance.actor) links a film performance to the actor who performed it. I will now query the actors for all the film performances where Carmen Cortez was portrayed.

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

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?formOfGovernment ?formOfGovernmentLabel WHERE {
  fb:m.09c7w0 fb:location.country.form_of_government ?formOfGovernment .
  OPTIONAL {
    ?formOfGovernment rdfs:label ?formOfGovernmentLabel .
    FILTER ( LANG( ?formOfGovernmentLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| formOfGovernment                      | formOfGovernmentLabel        |
| ------------------------------------- | ---------------------------- |
| Presidential system (fb:m.01d9r3)     | Presidential system (en)     |
| Constitutional republic (fb:m.0c9rw5) | Constitutional republic (en) |
| Federal republic (fb:m.0j729)         | Federal republic (en)        |

The United States is a Presidential system, a Constitutional republic, and a Federal republic.

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

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

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

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

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

[User] what type of democracy is the united states?

[Assistant]
To answer the question "What type of democracy is the United States?" I need to identify the entity for the United States and then find properties related to the type of democracy or government it has.

Step 1: Search for the entity "United States" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. United States of America, also known as U.S. of A., USA, U.S.A., US, U.S. (fb:m.09c7w0): The United States of America, commonly referred to as the United...s emerged from 13 British colonies located along the East Coast., has type Country
2. Federal government of the United States, also known as American Government, US Government, U.S. government, US Federal government, United States government (fb:m.01bqks): The government of the United States of America is the federal go...ften used, and the term "National Government" is sometimes used., has type Organization founder
3. United States (fb:m.0dvxqk): United States is a half-hour comedy-drama that NBC added to its ... Bob can go out and get yourselves one redhead with two straws.", has type TV Program
4. United States (fb:m.0dmmqxb): has type Musical Recording
5. United States (fb:m.0829w2d): has type Book Edition
6. United States... (fb:m.03987_d): has type Musical Release
7. United States (fb:m.0qhhg_4): has type Consumer product
8. United States (fb:m.05q8l00): United States is the first full length hard rock collaborative a...oration has been described as a cross between Queen and Mr. Big., has type Musical Album
9. United States (fb:m.0qhgg6l): has type Consumer product
10. United States (fb:m.011kfnhv): has type Musical Release

[Assistant] The entity for the United States of America is fb:m.09c7w0. Now, I will search for properties related to the type of democracy or government for this entity. I will start by searching for properties related to "government" or "democracy" for the United States of America.

[Tool]
Top 10 property alternatives:
1. Government (fb:government.governmental_jurisdiction.government): part of Governmental Jurisdiction schema, links to type Government
2. Government bodies (fb:government.governmental_jurisdiction.government_bodies): part of Governmental Jurisdiction schema, links to type Governmental Body
3. Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema
4. Government positions (fb:government.governmental_jurisdiction.government_positions): links to type Government Office or Title, part of Governmental Jurisdiction schema
5. Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
6. Agencies (fb:government.governmental_jurisdiction.agencies): part of Governmental Jurisdiction schema, links to type Government Agency
7. Administrative Divisions (fb:location.country.administrative_divisions): links to type Administrative Division, part of Country schema
8. President (fb:user.exooo.default_domain.head_of_state.president): links to type Employment tenure, part of Head of state schema
9. Courts (fb:law.court_jurisdiction_area.courts): part of Court jurisdiction area schema, links to type Court
10. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI

No other items found

[Assistant] The property "Form of Government" (fb:location.country.form_of_government) seems to be the most relevant to the question about the type of democracy or government the United States has. I will now query the value of this property for the United States of America (fb:m.09c7w0).

[Tool]
Got 3 rows and 2 columns:
| formOfGovernment                      | formOfGovernmentLabel        |
| ------------------------------------- | ---------------------------- |
| Presidential system (fb:m.01d9r3)     | Presidential system (en)     |
| Constitutional republic (fb:m.0c9rw5) | Constitutional republic (en) |
| Federal republic (fb:m.0j729)         | Federal republic (en)        |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?education WHERE {
  fb:m.025s5v9 fb:people.person.education ?education .
}

Got 3 rows and 1 column:
| education    |
| ------------ |
| fb:m.02wn0g2 |
| fb:m.02wpt7p |
| fb:m.0n1db15 |

Michelle Obama graduated from three educational institutions identified by the following Freebase IDs: fb:m.02wn0g2, fb:m.02wpt7p, and fb:m.0n1db15.

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

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

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

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

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

[User] where did michelle obama graduated from?

[Assistant] To answer the question "Where did Michelle Obama graduate from?" I will first search for the entity "Michelle Obama" in the Freebase knowledge graph to get her identifier. Then, I will look for properties related to education or graduation associated with her entity. Finally, I will build a SPARQL query to retrieve the educational institutions from which Michelle Obama graduated.

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

[Assistant] The most relevant entity for Michelle Obama is fb:m.025s5v9, which corresponds to Michelle LaVaughn Robinson Obama, an American lawyer and writer. Next, I will search for properties related to education or graduation for this entity to find where she graduated from.

[Tool]
Top 10 property alternatives:
1. Education (fb:people.person.education): links to type Education, part of Person schema
2. Article (fb:common.topic.article): links to type Document, part of Topic schema
3. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
4. Religion (fb:people.person.religion): links to type Religion, part of Person schema
5. Profession (fb:people.person.profession): links to type Profession, part of Person schema
6. Parents (fb:people.person.parents): part of Person schema, links to type Person
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema
9. Web Link(s) (fb:common.topic.webpage): links to type Webpage, part of Topic schema
10. Children (fb:people.person.children): part of Person schema, links to type Person

No other items found

[Assistant] The property fb:people.person.education seems to be the relevant property for education information of Michelle Obama. I will now query the educational institutions linked to Michelle Obama through this property.

[Tool]
Got 3 rows and 2 columns:
| education    | educationLabel |
| ------------ | -------------- |
| fb:m.02wn0g2 |                |
| fb:m.02wpt7p |                |
| fb:m.0n1db15 |                |

[Assistant] Michelle Obama has three educational institutions linked to her via the education property. The results currently do not show labels for these institutions. I will now try to get the labels (names) of these educational institutions to provide a more informative answer.

[Tool]
Got 3 rows and 2 columns:
| education    | educationLabel |
| ------------ | -------------- |
| fb:m.02wn0g2 |                |
| fb:m.02wpt7p |                |
| fb:m.0n1db15 |                |

[Assistant] The educational institutions linked to Michelle Obama do not have English labels in the knowledge graph. I will try to get the types of these institutions to confirm they are educational institutions and then provide the identifiers as the answer.

[Tool]
Got 3 rows and 2 columns:
| education    | type                               |
| ------------ | ---------------------------------- |
| fb:m.02wn0g2 | Education (fb:education.education) |
| fb:m.02wpt7p | Education (fb:education.education) |
| fb:m.0n1db15 | Education (fb:education.education) |

[Assistant] All three entities linked to Michelle Obama through the education property are of type Education. Since the labels are not available, I will provide the identifiers of these educational institutions as the answer.

[Tool] Stopped generation process