PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?place_of_birth WHERE {
  fb:m.04s9n fb:people.person.place_of_birth ?place_of_birth .
}

Got 1 row and 1 column:
| place_of_birth     |
| ------------------ |
| Mecca (fb:m.058wp) |

Prophet Muhammad was from Mecca (fb:m.058wp).

[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 http://galera:7002

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

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

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

[User] where was the prophet mohammed from?

[Assistant]
Let's break down the question:

1. The entity is "Prophet Mohammed" (also spelled Muhammad).
2. The property we are interested in is "place of origin" or "place of birth".

First, I will search for the entity "Prophet Mohammed" in Freebase to find the correct identifier.

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

[Assistant]
The search results do not show a direct entity for "Prophet Mohammed" as a person, but rather books and other unrelated entities. The closest match appears to be "Mohammed; prophet of the religion of Islam (fb:m.06m2f60)", which is a book, not the person.

To ensure accuracy, I will try searching for "Muhammad" (the more common spelling for the prophet) to see if there is a person entity.

[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 top result, "Muhammad in Islam" (fb:m.04s9n), has a detailed description matching the Prophet Muhammad, including his full name and role as the founder of Islam. This is likely the correct entity for the Prophet Muhammad.

Next, I need to find the property for "place of birth" or "place of origin" for this entity. I will search for properties related to "birth" 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 the most relevant for determining where Prophet Muhammad was from.

Now, I will construct a SPARQL query to retrieve the place of birth for the entity fb:m.04s9n (Muhammad in Islam), and also try to get a human-readable label for the location.

[Tool]
Got 42 rows and 2 columns, showing the first 5 and last 5 rows below:
| place_of_birth     | place_of_birth_label |
| ------------------ | -------------------- |
| 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) | มักกะหฺ (th)         |
| Mecca (fb:m.058wp) | 메카 (ko)              |
| Mecca (fb:m.058wp) | メッカ (ja)             |
| Mecca (fb:m.058wp) | 麥加 (zh-Hant)         |
| Mecca (fb:m.058wp) | 麦加 (zh)              |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of birth for Prophet Muhammad (fb:m.04s9n) using the appropriate property (fb:people.person.place_of_birth). The result, Mecca (fb:m.058wp), is accurate and directly answers the user's question. The query returns the IRI as required, and there are no unnecessary computations or missing information. This output is correct and complete.


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

Got 2 rows and 1 column:
| parent                                |
| ------------------------------------- |
| Gerald Hathaway (fb:m.07ylp26)        |
| Kate McCauley Hathaway (fb:m.07ylp2d) |

Anne Hathaway's parents are Gerald Hathaway (fb:m.07ylp26) and Kate McCauley Hathaway (fb:m.07ylp2d).

[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 http://galera:7002

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

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

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

[User] who is anne hathaway parents?

[Assistant]
Let's break down the question:

1. The entity is "Anne Hathaway".
2. The property we are interested in is "parents".

First, I will search for the entity "Anne Hathaway" in Freebase to get her identifier.

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

[Assistant]
The most relevant entity for the actress Anne Hathaway is fb:m.02vntj.

Next, I need to find the property in Freebase that relates to "parents" for a person. I will search for properties related to "parent" for this entity.

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

No other items found

[Assistant]
The relevant property for parents is fb:people.person.parents.

Now, I will construct a SPARQL query to find the parents of Anne Hathaway (fb:m.02vntj) using the property fb:people.person.parents. I will also try to get their labels (names) if available.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the IRIs of Anne Hathaway's parents from Freebase using the appropriate property. The answer provided matches the query result, and the query adheres to the guidelines by returning the identifiers. No further refinement is necessary.


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

According to the structured data in Freebase, Helen Flanagan's profession is 'actor'.

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

You have access to the following knowledge graphs:
freebase at http://galera:7002

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]
To answer this question, I need to identify the entity for "Helen Flanagan" in Freebase and then find properties related to her occupation or what she does (such as profession, job, or role).

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]
The most relevant entity for "Helen Flanagan" (the English actress and model) is fb:m.087k1_.

Next, I will search for properties related to her occupation, profession, or 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

[Tool]
Got 1 row and 1 column:
| profession           |
| -------------------- |
| Actor (fb:m.02hrh1q) |

[Tool]
Got 45 rows and 1 column, showing the first 5 and last 5 rows below:
| label         |
| ------------- |
| Acteur (fr)   |
| Acteur (nl)   |
| Actor (ca)    |
| Actor (en)    |
| Actor (en-GB) |
| ...           |
| นักแสดง (th)  |
| 배우 (ko)       |
| 俳優 (ja)       |
| 演员 (zh)       |
| 演員 (zh-Hant)  |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer correctly identifies Helen Flanagan as an actor, which is accurate. However, the SPARQL query result contains multiple duplicate rows of the same profession (Actor). Additionally, Helen Flanagan is also known as a model, which is not reflected in the answer or the query result. The query should be refined to use DISTINCT to remove duplicates and ensure all professions (such as model) are included. Also, the answer should mention all relevant professions found in the data.

[Assistant]
Thank you for the feedback. I will refine the SPARQL query to:

1. Use SELECT DISTINCT to avoid duplicate professions.
2. Retrieve all professions associated with Helen Flanagan, including possible roles such as "model".
3. Optionally include human-readable labels for each profession.
4. Update the answer to mention all relevant professions found.

Let me update and execute the improved query.

[Tool]
Got 45 rows and 2 columns, showing the first 5 and last 5 rows below:
| profession           | label         |
| -------------------- | ------------- |
| Actor (fb:m.02hrh1q) | Acteur (fr)   |
| Actor (fb:m.02hrh1q) | Acteur (nl)   |
| Actor (fb:m.02hrh1q) | Actor (ca)    |
| Actor (fb:m.02hrh1q) | Actor (en)    |
| Actor (fb:m.02hrh1q) | Actor (en-GB) |
| ...                  | ...           |
| Actor (fb:m.02hrh1q) | นักแสดง (th)  |
| Actor (fb:m.02hrh1q) | 배우 (ko)       |
| Actor (fb:m.02hrh1q) | 俳優 (ja)       |
| Actor (fb:m.02hrh1q) | 演员 (zh)       |
| Actor (fb:m.02hrh1q) | 演員 (zh-Hant)  |

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

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

[Tool]
Got 9 rows and 3 columns:
| subject                      | property                   | object                                                                  |
| ---------------------------- | -------------------------- | ----------------------------------------------------------------------- |
| Helen Flanagan (fb:m.087k1_) | Type (fb:type.object.type) | Topic (fb:common.topic)                                                 |
| Helen Flanagan (fb:m.087k1_) | Type (fb:type.object.type) | Physically Instantiable (fb:base.type_ontology.physically_instantiable) |
| Helen Flanagan (fb:m.087k1_) | Type (fb:type.object.type) | Agent (fb:base.type_ontology.agent)                                     |
| Helen Flanagan (fb:m.087k1_) | Type (fb:type.object.type) | Animate (fb:base.type_ontology.animate)                                 |
| Helen Flanagan (fb:m.087k1_) | Type (fb:type.object.type) | Person (fb:people.person)                                               |
| Helen Flanagan (fb:m.087k1_) | Type (fb:type.object.type) | Film actor (fb:film.actor)                                              |
| Helen Flanagan (fb:m.087k1_) | Type (fb:type.object.type) | Award Nominee (fb:award.award_nominee)                                  |
| Helen Flanagan (fb:m.087k1_) | Type (fb:type.object.type) | TV Actor (fb:tv.tv_actor)                                               |
| Helen Flanagan (fb:m.087k1_) | Type (fb:type.object.type) | Influence Node (fb:influence.influence_node)                            |

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

[Tool]
Top 10 property alternatives:
1. Type (fb:type.object.type): part of Object schema, links to type Type
2. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
6. Profession (fb:people.person.profession): links to type Profession, part of Person schema
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Gender (fb:people.person.gender): part of Person schema, links to type Gender
9. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
10. Height (fb:people.person.height_meters): links to type Floating Point Number, part of Person schema

No other items found

[Tool]
Top 10 property alternatives:
1. Profession (fb:people.person.profession): links to type Profession, 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. Place of birth (fb:people.person.place_of_birth): links to type Location, 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. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Daylife Topic (fb:common.identity.daylife_topic): links to type Enumeration, part of Identity schema

No other items found

[Tool]
Got 7 rows and 3 columns:
| subject                      | property                                  | object                                                                   |
| ---------------------------- | ----------------------------------------- | ------------------------------------------------------------------------ |
| Helen Flanagan (fb:m.087k1_) | Description (fb:common.topic.description) | Helen Joyce Flanagan es una actr...ie Webster en Coronation Street. (es) |
| Helen Flanagan (fb:m.087k1_) | Description (fb:common.topic.description) | Helen Joyce Gabriel Flanagan ada...ronation Street selama 12 tahun. (id) |
| Helen Flanagan (fb:m.087k1_) | Description (fb:common.topic.description) | Helen Joyce Gabriel Flanagan è u...lle100 donne più sexy del mondo. (it) |
| Helen Flanagan (fb:m.087k1_) | Description (fb:common.topic.description) | Helen Joyce Gabriel Flanagan is ...Sexiest Women in the World poll. (en) |
| Helen Flanagan (fb:m.087k1_) | Description (fb:common.topic.description) | هيلين جويس غابرييل فلاناغان Hele...م في مجلة إف إتش إم في سنة 2013. (ar) |
| Helen Flanagan (fb:m.087k1_) | Description (fb:common.topic.description) | هيلين فلاناغان هي ممثلة وعارضة أزياء إنجليزية (ar)                       |
| Helen Flanagan (fb:m.087k1_) | Description (fb:common.topic.description) | 헬렌 플래너건은 잉글랜드의 배우, 모델, 사회자이다. (ko)                                       |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the profession(s) of Helen Flanagan from Freebase, and the answer accurately reflects the structured data result. However, the query returns multiple labels for the same profession in different languages, which is redundant for most users. It would be better to filter the labels to English (e.g., using FILTER(LANG(?label) = 'en')) or to return only the IRI if the user did not request labels. Additionally, the answer mentions that she is also known as a model according to descriptions, but this is not supported by the structured data returned by the query. The answer should clarify that only 'actor' is present in the structured data and avoid referencing information not present in the SPARQL result.

[Tool]
Got 1 row and 2 columns:
| profession           | label      |
| -------------------- | ---------- |
| 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 ?place_of_birth ?place_of_birth_label WHERE {
  fb:m.0261x8t fb:people.person.place_of_birth ?place_of_birth .
  OPTIONAL {
    ?place_of_birth rdfs:label ?place_of_birth_label .
    FILTER ( LANG( ?place_of_birth_label ) = 'en' )
  }
}

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

Kim Kardashian was born in Los Angeles (fb:m.030qb3t).

[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 http://galera:7002

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

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

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

[User] where did kim kardashian come from?

[Assistant]
Let's break down the question:

1. The user is asking about the origin of Kim Kardashian. This could refer to her place of birth, or possibly her family background or nationality. The most direct interpretation is her place of birth.
2. First, I need to identify the entity for Kim Kardashian in Freebase.
3. Then, I need to find the property for "place of birth" or similar.
4. Finally, I will construct a SPARQL query to retrieve this information.

Let's start by searching for the entity "Kim Kardashian" in Freebase.

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

[Assistant]
The top result for "Kim Kardashian" as a person is fb:m.0261x8t. This is the correct entity for the celebrity Kim Kardashian.

Next, I need to find the property for "place of birth" or similar for this entity.

[Tool]
Top 10 property alternatives:
1. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
2. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
3. Gender (fb:people.person.gender): part of Person schema, links to type Gender
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Religion (fb:base.popstra.celebrity.religion): links to type Religion Choice, part of Celebrity schema
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 most relevant property for "where did Kim Kardashian come from?" is "Place of birth" (fb:people.person.place_of_birth).

Now, I will construct a SPARQL query to retrieve the place of birth for Kim Kardashian (fb:m.0261x8t), and optionally include the label of the place.

[Tool]
Got 42 rows and 2 columns, showing the first 5 and last 5 rows below:
| place_of_birth             | place_of_birth_label |
| -------------------------- | -------------------- |
| Los Angeles (fb:m.030qb3t) | Los Andželas (lt)    |
| Los Angeles (fb:m.030qb3t) | Losandželosa (lv)    |
| Los Angeles (fb:m.030qb3t) | Los Angeles (ca)     |
| Los Angeles (fb:m.030qb3t) | Los Angeles (cs)     |
| Los Angeles (fb:m.030qb3t) | Los Angeles (da)     |
| ...                        | ...                  |
| Los Angeles (fb:m.030qb3t) | ลอสแอนเจลิส (th)     |
| Los Angeles (fb:m.030qb3t) | 로스앤젤레스 (ko)          |
| Los Angeles (fb:m.030qb3t) | ロサンゼルス (ja)          |
| Los Angeles (fb:m.030qb3t) | 洛杉矶 (zh)             |
| Los Angeles (fb:m.030qb3t) | 洛杉磯 (zh-Hant)        |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer is correct in identifying Kim Kardashian's place of birth as Los Angeles, and the SPARQL query properly retrieves the IRI for Los Angeles. However, the query returns multiple rows due to the many language variants of the label, which is unnecessary unless the user specifically requests multilingual labels. To refine, the query should either:
- Return only the IRI (which is sufficient for most cases), or
- Use a FILTER to select the English label (e.g., FILTER(LANG(?place_of_birth_label) = 'en')) if a label is included.
This would make the result more concise and focused.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of birth (identifier and optional label) for Kim Kardashian using the appropriate entity and property. The answer matches the expected result, and the query follows all the specified rules. No further refinement is needed.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?case ?case_label WHERE {
  fb:m.07sz1 fb:law.court.legal_cases ?case .
  OPTIONAL {
    ?case rdfs:label ?case_label
  }
}

Got 1,387 rows and 2 columns, showing the first 5 and last 5 rows below:
| case                                                                                | case_label                                                               |
| ----------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| 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)                                                 |
| ...                                                                                | ...                                                                      |
| Bush v. Gore (fb:m.0qjn1)                                                           | Bush v. Gore (fr)                                                        |
| Bush v. Gore (fb:m.0qjn1)                                                           | Contestazioni sulle elezioni presidenziali statunitensi del 2000 (it)    |
| Bush v. Gore (fb:m.0qjn1)                                                           | Буш против Гора (sr)                                                     |
| Bush v. Gore (fb:m.0qjn1)                                                           | ブッシュ対ゴア事件 (ja)                                                           |
| Law v. Siegel (fb:m.0_xc06k)                                                        | Law v. Siegel (en)                                                       |

The Supreme Court cases are the legal cases associated with the Supreme Court of the United States (fb:m.07sz1). Examples include Burwell v. Hobby Lobby, Schuette v. Coalition to Defend Affirmative Action, Myers v. United States, Riley v. California, Bush v. Gore, and Law v. Siegel. The full list can be retrieved using the provided SPARQL query.

[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 http://galera:7002

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]
To answer this question, I need to identify the entity representing the "Supreme Court" and find the property that links it to its cases (likely court cases or legal cases).

First, I will search for the entity "Supreme Court" in Freebase.

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

[Assistant]
There are multiple entities named "Supreme Court" in Freebase, corresponding to different countries and contexts. Since the user did not specify a country, but in general, "Supreme Court" often refers to the Supreme Court of the United States.

The most generic entity is "Supreme court" (fb:m.0ctwx3), but it is described as a literature subject. The entity "Supreme Court" (fb:m.01rt58s) is a musical group, and others are for specific countries or unrelated topics.

To clarify, I will search for "Supreme Court of the United States" to find the most relevant entity for U.S. Supreme Court cases.

[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 most relevant entity for the Supreme Court of the United States is "Supreme Court of the United States" (fb:m.07sz1), which is described as the highest federal court in the United States.

Next, I need to find the property that links this court to its cases. I will search for properties of this entity related to "case".

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

No other items found

[Assistant]
The property "Legal cases" (fb:law.court.legal_cases) links the Supreme Court of the United States entity to its legal cases. This is likely the property that lists the court's cases.

Now, I will construct a SPARQL query to retrieve all legal cases associated with the Supreme Court of the United States (fb:m.07sz1) using the property fb:law.court.legal_cases. I will also try to get their labels (names) if available.

[Tool]
Got 1,387 rows and 2 columns, showing the first 5 and last 5 rows below:
| case                                                                                | case_label                                                               |
| ----------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| 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)                                                 |
| ...                                                                                | ...                                                                      |
| Bush v. Gore (fb:m.0qjn1)                                                           | Bush v. Gore (fr)                                                        |
| Bush v. Gore (fb:m.0qjn1)                                                           | Contestazioni sulle elezioni presidenziali statunitensi del 2000 (it)    |
| Bush v. Gore (fb:m.0qjn1)                                                           | Буш против Гора (sr)                                                     |
| Bush v. Gore (fb:m.0qjn1)                                                           | ブッシュ対ゴア事件 (ja)                                                           |
| Law v. Siegel (fb:m.0_xc06k)                                                        | Law v. Siegel (en)                                                       |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all legal cases associated with the Supreme Court of the United States by using the appropriate entity and property. It returns the IRIs of the cases and optionally their labels, which is in line with the requirements. The answer is complete and the output is correct.


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

Got 5 rows and 2 columns:
| wife                             | wife_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) |

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

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

You have access to the following knowledge graphs:
freebase at http://galera:7002

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 this question, I need to:

1. Identify the entity for "Newt Gingrich" in Freebase.
2. Find the property that links a person to their spouse.
3. Query for the spouse(s) of Newt Gingrich and retrieve their names.

Let's start by searching for the entity "Newt Gingrich" in Freebase.

[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 correct entity for Newt Gingrich, the American politician, is fb:m.018fzs.

Next, I need to find the property in Freebase that links a person to their spouse. I'll search for properties related to "spouse".

[Tool]
Top 10 property alternatives:
1. Spouse (fb:user.synedra.didwho.marriage.spouse): links to type Celebrity, part of Marriage schema
2. spouse (fb:user.jfry.testing_types.j_marriage.spouse): part of j-marriage schema, links to type j-person
3. Spouse (fb:user.synedra.didwho.divorce.spouse): links to type Celebrity, part of Divorce schema
4. Spouse (fb:base.separation.separation.spouse): part of Separation schema, links to type Person
5. Spouse (fb:base.folklore.named_mythical_creature_marriage.spouse): part of Named mythical creature marriage schema, links to type Named mythical creature
6. Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
7. Spouse(s) (fb:user.jfry.testing_types.j_person.spouse): links to type j-marriage, part of j-person schema
8. Spouses (fb:fictional_universe.marriage_of_fictional_characters.spouses): part of Marriage (of Fictional Characters) schema, links to type Fictional Character
9. Married To (fb:fictional_universe.fictional_character.married_to): links to type Marriage (of Fictional Characters), part of Fictional Character schema
10. Spouse (or domestic partner) (fb:base.folklore.named_mythical_creature.spouse_or_domestic_partner): links to type Named mythical creature marriage, part of Named mythical creature schema

[Assistant]
The most general and likely property for linking a person to their spouse in Freebase is fb:people.marriage.spouse.

Now, I need to check how this property is used for Newt Gingrich (fb:m.018fzs). I'll list triples with Newt Gingrich as the subject and see how the spouse property is structured.

[Tool]
Got 739 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                                            | object                                                                   |
| --------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Newt Gingrich (fb:m.018fzs) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Newt Gingrich (fb:m.018fzs) | Key (fb:type.object.key)                                            | /authority/daylife/topic/01oscHi9wA2Am                                   |
| Newt Gingrich (fb:m.018fzs) | Name (fb:type.object.name)                                          | Newt Gingrich (ca)                                                       |
| Newt Gingrich (fb:m.018fzs) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%46%4A%48%2A_%2C%4A%46%2C%31%4A%2A%34>     |
| Newt Gingrich (fb:m.018fzs) | Notable for (fb:common.topic.notable_for)                           | fb:g.125b19mcc                                                           |
| Newt Gingrich (fb:m.018fzs) | Notable types (fb:common.topic.notable_types)                       | U.S. Congressperson (fb:m.05kpwk1)                                       |
| Newt Gingrich (fb:m.018fzs) | Description (fb:common.topic.description)                           | Newt Gingrich je americký politi...istorik, spisovateľ a futurológ. (sk) |
| Newt Gingrich (fb:m.018fzs) | Article (fb:common.topic.article)                                   | fb:m.018fz_                                                              |
| Newt Gingrich (fb:m.018fzs) | Also known as (fb:common.topic.alias)                               | Newt (en)                                                                |
| Newt Gingrich (fb:m.018fzs) | Gender (fb:people.person.gender)                                    | Male (fb:m.05zppz)                                                       |
| ...                         | ...                                                                 | ...                                                                      |

[Tool] Got no rows and 3 columns

[Assistant]
It appears that the property fb:people.marriage.spouse is not directly used with Newt Gingrich as the subject. In Freebase, marriages are often modeled as a separate entity (a "marriage" node), which links the person to the spouse and includes additional information such as marriage dates.

To find the correct structure, I'll look for properties related to "marriage" for Newt Gingrich.

[Tool]
Top 10 property alternatives:
1. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
2. Religion (fb:people.person.religion): links to type Religion, part of Person schema
3. Profession (fb:people.person.profession): links to type Profession, part of Person schema
4. Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician 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. Gender (fb:people.person.gender): part of Person schema, links to type Gender
8. Parents (fb:people.person.parents): part of Person schema, links to type Person
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country

No other items found

[Assistant]
The property fb:people.person.spouse_s links a person to a "Marriage" entity in Freebase. From there, we can likely find the spouse's identity.

Next, I'll list the objects for Newt Gingrich with the property fb:people.person.spouse_s to find his marriage entities.

[Tool]
Got 3 rows and 3 columns:
| subject                     | property                                                 | object       |
| --------------------------- | -------------------------------------------------------- | ------------ |
| Newt Gingrich (fb:m.018fzs) | Spouse (or domestic partner) (fb:people.person.spouse_s) | fb:m.0hybx80 |
| Newt Gingrich (fb:m.018fzs) | Spouse (or domestic partner) (fb:people.person.spouse_s) | fb:m.0j1782r |
| Newt Gingrich (fb:m.018fzs) | Spouse (or domestic partner) (fb:people.person.spouse_s) | fb:m.0j17836 |

[Assistant]
Newt Gingrich has three marriage entities: fb:m.0hybx80, fb:m.0j1782r, and fb:m.0j17836.

To find the names of his spouses, I need to check each marriage entity for the property that links to the spouse (person). I'll start by listing the properties of one of these marriage entities to see how the spouse is represented.

[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) |

[Tool]
Got 108 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                                                            | object                                                                   |
| -------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Callista Gingrich (fb:m.05znhhq) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Callista Gingrich (fb:m.05znhhq) | Key (fb:type.object.key)                                            | /authority/imdb/name/nm3366161                                           |
| Callista Gingrich (fb:m.05znhhq) | Name (fb:type.object.name)                                          | Callista Gingrich (en)                                                   |
| Callista Gingrich (fb:m.05znhhq) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://en.wikipedia.org/wiki/Callista_Gingrich>                         |
| Callista Gingrich (fb:m.05znhhq) | Notable for (fb:common.topic.notable_for)                           | fb:g.125cqrr7b                                                           |
| Callista Gingrich (fb:m.05znhhq) | Notable types (fb:common.topic.notable_types)                       | Author (fb:m.01xryvt)                                                    |
| Callista Gingrich (fb:m.05znhhq) | Description (fb:common.topic.description)                           | Callista Gingrich, née Bisek le ...une femme d'affaires américaine. (fr) |
| Callista Gingrich (fb:m.05znhhq) | Article (fb:common.topic.article)                                   | fb:m.05znhhv                                                             |
| Callista Gingrich (fb:m.05znhhq) | Also known as (fb:common.topic.alias)                               | Callista Louise Bisek (en)                                               |
| Callista Gingrich (fb:m.05znhhq) | Gender (fb:people.person.gender)                                    | Female (fb:m.02zsn)                                                      |
| ...                              | ...                                                                 | ...                                                                      |

[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)      |

[Tool]
Got 30 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                        | object                                                                   |
| ------------------------------ | ----------------------------------------------- | ------------------------------------------------------------------------ |
| Marianne Ginther (fb:m.0661_f) | Type (fb:type.object.type)                      | Topic (fb:common.topic)                                                  |
| Marianne Ginther (fb:m.0661_f) | Key (fb:type.object.key)                        | /en/marianne_ginther                                                     |
| Marianne Ginther (fb:m.0661_f) | Name (fb:type.object.name)                      | Marianne Ginther (en)                                                    |
| Marianne Ginther (fb:m.0661_f) | Notable for (fb:common.topic.notable_for)       | fb:g.1259lv8qm                                                           |
| Marianne Ginther (fb:m.0661_f) | Notable types (fb:common.topic.notable_types)   | Person (fb:m.04kr)                                                       |
| Marianne Ginther (fb:m.0661_f) | Description (fb:common.topic.description)       | Marianne Ginther is an author an...wife of politician Newt Gingher. (en) |
| Marianne Ginther (fb:m.0661_f) | Article (fb:common.topic.article)               | fb:m.0661_l                                                              |
| Marianne Ginther (fb:m.0661_f) | Has value (fb:freebase.valuenotation.has_value) | Country of nationality (fb:m.04nt)                                       |
| Marianne Ginther (fb:m.0661_f) | Gender (fb:people.person.gender)                | Female (fb:m.02zsn)                                                      |
| Marianne Ginther (fb:m.0661_f) | Profession (fb:people.person.profession)        | Author (fb:m.0kyk)                                                       |
| ...                            | ...                                             | ...                                                                      |

[Tool]
Got 31 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                                        | object                                                                   |
| ----------------------------- | ----------------------------------------------- | ------------------------------------------------------------------------ |
| Jackie Battley (fb:m.0j1782w) | Type (fb:type.object.type)                      | Topic (fb:common.topic)                                                  |
| Jackie Battley (fb:m.0j1782w) | Name (fb:type.object.name)                      | Jackie Battley (en)                                                      |
| Jackie Battley (fb:m.0j1782w) | Notable for (fb:common.topic.notable_for)       | fb:g.125c9gczn                                                           |
| Jackie Battley (fb:m.0j1782w) | Notable types (fb:common.topic.notable_types)   | Person (fb:m.04kr)                                                       |
| Jackie Battley (fb:m.0j1782w) | Description (fb:common.topic.description)       | Jackie Battley is a former teach...ife of politician Newt Gingrich. (en) |
| Jackie Battley (fb:m.0j1782w) | Also known as (fb:common.topic.alias)           | Jackie (Battley) Gingrich (en)                                           |
| Jackie Battley (fb:m.0j1782w) | Has value (fb:freebase.valuenotation.has_value) | Country of nationality (fb:m.04nt)                                       |
| Jackie Battley (fb:m.0j1782w) | Gender (fb:people.person.gender)                | Female (fb:m.02zsn)                                                      |
| Jackie Battley (fb:m.0j1782w) | Profession (fb:people.person.profession)        | Teacher (fb:m.01d30f)                                                    |
| Jackie Battley (fb:m.0j1782w) | Children (fb:people.person.children)            | Kathy Lubbers (fb:m.03sc8bz)                                             |
| ...                           | ...                                             | ...                                                                      |

[Assistant]
Now I have confirmed the names of Newt Gingrich's spouses:

- Jackie Battley (fb:m.0j1782w)
- Marianne Ginther (fb:m.0661_f)
- Callista Gingrich (fb:m.05znhhq)

The question asks for "Newt Gingrich's wife's name." Since he is currently married to Callista Gingrich (the marriage from 2000-08-18, no end date), I will focus on her.

I will now write a SPARQL query that returns the IRI and name of Newt Gingrich's current wife.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies Newt Gingrich's current wife by filtering for marriages without an end date, and retrieves the name using an OPTIONAL clause. The result contains multiple language variants of the name, but all refer to Callista Gingrich, which matches the answer. The query returns the IRIs as required. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?actor WHERE {
  ?perf fb:film.performance.film fb:m.02rrfzf .
  ?perf fb:film.performance.character fb:m.02ql50 .
  ?perf fb:film.performance.actor ?actor .
}

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

Both Alexa Vega (now known as Alexa PenaVega, IRI: fb:m.02z7h0) and Addisyn Fair (IRI: fb:m.0zfn9cs) played Carmen Cortez in Spy Kids. Alexa Vega played the main/older version of the character, while Addisyn Fair portrayed the younger version.

[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 http://galera:7002

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

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

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

[User] who played carmen cortez in spy kids?

[Assistant]
Let's break down the question:

1. The user wants to know the actor who played the character "Carmen Cortez" in the movie "Spy Kids".
2. We need to identify:
   - The entity for "Carmen Cortez" (likely a character).
   - The entity for "Spy Kids" (the movie).
   - The property that links a character in a movie to the actor who played them.

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

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

[Assistant]
The top result for "Carmen Cortez" is:
- Baby Carmen, also known as Carmen Cortez (fb:m.02ql50): Carmen Elizabeth Juanita Costa Brava Cortez is a fictional character, has type Film character.

This matches our target character.

Next, I need to identify the entity for the movie "Spy Kids" to ensure we get the correct context for the character.

[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]
The top result for "Spy Kids" is:
- Spy Kids (fb:m.02rrfzf): Spy Kids is a 2001 American science fantasy family adventure film.

Now, I need to find the property that links a film character (Carmen Cortez) in a specific film (Spy Kids) to the actor who played them. Usually, this is something like "portrayed by" or "actor".

I'll search for properties related to "actor" or "portrayed by" for the character entity.

[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

[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 |

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

[Tool]
Got 494 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                                                            | object                                                                   |
| ------------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Alexa Vega (fb:m.02z7h0) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Alexa Vega (fb:m.02z7h0) | Key (fb:type.object.key)                                            | /authority/google/google_plus_page/114985237285550995169                 |
| Alexa Vega (fb:m.02z7h0) | Name (fb:type.object.name)                                          | Alexa PenaVega (cs)                                                      |
| Alexa Vega (fb:m.02z7h0) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%23%44%4A%43%33%27_%41%4A%3A%27>           |
| Alexa Vega (fb:m.02z7h0) | Notable for (fb:common.topic.notable_for)                           | fb:g.12572800h                                                           |
| Alexa Vega (fb:m.02z7h0) | Notable types (fb:common.topic.notable_types)                       | Film actor (fb:m.0jsg4j)                                                 |
| Alexa Vega (fb:m.02z7h0) | Description (fb:common.topic.description)                           | Alexa Ellesse PenaVega, amerykań...ając swoje nazwisko na PenaVega. (pl) |
| Alexa Vega (fb:m.02z7h0) | Recordings (fb:music.artist.track)                                  | Christmas Is the Time to Say I Love You (fb:m.0sldmsb)                   |
| Alexa Vega (fb:m.02z7h0) | Article (fb:common.topic.article)                                   | fb:m.02z7h6                                                              |
| Alexa Vega (fb:m.02z7h0) | Also known as (fb:common.topic.alias)                               | Alex (en)                                                                |
| ...                      | ...                                                                 | ...                                                                      |

[Tool]
Got 25 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor                       | actorLabel          |
| --------------------------- | ------------------- |
| 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

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves all actors who played Carmen Cortez in Spy Kids, which includes both Alexa Vega and Addisyn Fair. However, the human-readable answer only mentions Alexa Vega (now Alexa PenaVega) and omits Addisyn Fair. To improve completeness and accuracy, the answer should mention both actors, or clarify the context (e.g., if Alexa Vega played the main/older version and Addisyn Fair played a younger version). The query itself is correct, but the answer summary should reflect all results returned by the query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the IRIs of the actors who played Carmen Cortez in Spy Kids, and the answer accurately explains the roles of Alexa Vega and Addisyn Fair. The query follows all guidelines: it returns IRIs, does not use unsupported SERVICE clauses, and does not perform computation outside SPARQL. No further refinement is needed.