PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?actorName WHERE {
  fb:m.02ql50 fb:film.film_character.portrayed_in_films ?performance .
  ?performance fb:film.performance.actor ?actor .
  ?actor fb:type.object.name ?actorName .
  FILTER ( lang( ?actorName ) = "en" )
}

Got 5 rows and 1 column:
| actorName         |
| ----------------- |
| Alexa Vega (en)   |
| Alexa Vega (en)   |
| Alexa Vega (en)   |
| Alexa Vega (en)   |
| Addisyn Fair (en) |

Alexa Vega

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

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

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

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

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

[User] who played carmen cortez in spy kids?

[Assistant]
Okay, let's start by identifying the entities and properties involved in the question.
The question is about the movie "Spy Kids" and the character "Carmen Cortez". We need to find the actor who played this character.

First, let's 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., 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., Opera
3. Cortez, also known as Cortez, Colorado, Montezuma County / Cortez city (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., City/Town/Village
4. Carmen Ejogo, also known as Carmen Elizabeth Ejogo, Carmen (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., 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., 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., 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., City/Town/Village
8. Risë Stevens, also known as Carmen, Risë Gus Steenberg, Risë Steenberg, Rise Stevens (fb:m.0953c4): Risë Stevens was an American operatic mezzo-soprano., Musical Artist
9. Carmen, also known as Carmen (London Symphony Orchestra feat. conductor: Claudio Abbado) (fb:m.03_dwxc): 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., Book

[Assistant]
The search results show "Baby Carmen, also known as Carmen Cortez (fb:m.02ql50)" as a film character. Let's use this entity.
Now, let's find the property that connects a character to the actor who played them. I'll search for properties of the entity "fb:m.02ql50" related to "actor" or "played by".

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

No other items found

[Assistant] The property "Portrayed in films (fb:film.film_character.portrayed_in_films)" seems relevant. Let's investigate this property further to find the actor.

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

[Assistant] The query returned 5 film performances. Now, we need to find the actor for each of these film performances. Let's pick one, say fb:m.02s9tsc, and find the actor associated with it. I'll search for properties of this entity related to "actor".

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

No other items found

[Assistant] The property "Actor (fb:film.performance.actor)" seems perfect. Let's use it to find the actor.

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

[Assistant] The result shows that the actor is "Alexa Vega (fb:m.02z7h0)". Let's get the name of this entity to present the answer.

[Tool]
Got 24 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                   | object              |
| ------------------------ | -------------------------- | ------------------- |
| Alexa Vega (fb:m.02z7h0) | Name (fb:type.object.name) | Alexa PenaVega (cs) |
| Alexa Vega (fb:m.02z7h0) | Name (fb:type.object.name) | Alexa Vega (da)     |
| Alexa Vega (fb:m.02z7h0) | Name (fb:type.object.name) | Alexa Vega (de)     |
| Alexa Vega (fb:m.02z7h0) | Name (fb:type.object.name) | Alexa Vega (en)     |
| Alexa Vega (fb:m.02z7h0) | Name (fb:type.object.name) | Alexa Vega (es)     |
| Alexa Vega (fb:m.02z7h0) | Name (fb:type.object.name) | Alexa Vega (fi)     |
| Alexa Vega (fb:m.02z7h0) | Name (fb:type.object.name) | Alexa Vega (fr)     |
| Alexa Vega (fb:m.02z7h0) | Name (fb:type.object.name) | Alexa Vega (id)     |
| Alexa Vega (fb:m.02z7h0) | Name (fb:type.object.name) | Alexa Vega (it)     |
| Alexa Vega (fb:m.02z7h0) | Name (fb:type.object.name) | Alexa Vega (nl)     |
| ...                      | ...                        | ...                 |

[Assistant]
The query returned the name "Alexa Vega" in English.

Now, let's construct the SPARQL query.
```sparql
SELECT ?actorName WHERE {
  fb:m.02ql50 fb:film.film_character.portrayed_in_films ?performance .
  ?performance fb:film.performance.actor ?actor .
  ?actor fb:type.object.name ?actorName .
  FILTER (lang(?actorName) = "en")
}
```

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?government_type WHERE {
  fb:m.09c7w0 fb:location.country.form_of_government ?government_type .
}

Got 3 rows and 1 column:
| government_type                       |
| ------------------------------------- |
| Presidential system (fb:m.01d9r3)     |
| Constitutional republic (fb:m.0c9rw5) |
| Federal republic (fb:m.0j729)         |

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

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

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

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

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

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

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

[Assistant] Okay, let's start by searching for the United States entity in Freebase.

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

[Assistant] The most relevant entity is "United States of America" (fb:m.09c7w0). Now, let's search for properties related to the type of government or political system for this entity.

[Tool]
Top 10 property alternatives:
1. Form of Government (fb:location.country.form_of_government): Form of Government, Country
2. Government (fb:government.governmental_jurisdiction.government): Governmental Jurisdiction, Government
3. Government bodies (fb:government.governmental_jurisdiction.government_bodies): Governmental Jurisdiction, Governmental Body
4. Government positions (fb:government.governmental_jurisdiction.government_positions): Government Office or Title, Governmental Jurisdiction
5. Governing officials (fb:government.governmental_jurisdiction.governing_officials): Governmental Jurisdiction, Government Position Held
6. Administrative Area Type (fb:base.aareas.schema.administrative_area.administrative_area_type): Type of Administrative Area, Administrative Area
7. Administrative Divisions (fb:location.country.administrative_divisions): Administrative Division, Country
8. States/provinces within (fb:base.locations.countries.states_provinces_within): States and provinces, Countries
9. Type (fb:base.biblioness.bibs_location.loc_type): Bibs Location, Text
10. Type (fb:type.object.type): Object, Type

No other items found

[Assistant] The property "Form of Government" (fb:location.country.form_of_government) seems appropriate. Let's use it in a SPARQL query to find the form of government of the United States.

[Tool]
Got 3 rows and 1 column:
| government_type                       |
| ------------------------------------- |
| Presidential system (fb:m.01d9r3)     |
| Constitutional republic (fb:m.0c9rw5) |
| Federal republic (fb:m.0j729)         |

[Assistant] The query returns three types of government: Presidential system, Constitutional republic, and Federal republic. Let's get the labels for these to provide a more readable answer.

[Tool]
Got 76 rows and 2 columns, showing the first 5 and last 5 rows below:
| government_type                   | government_type_label                 |
| --------------------------------- | ------------------------------------- |
| Presidential system (fb:m.01d9r3) | Başkanlık sistemi (tr)                |
| Presidential system (fb:m.01d9r3) | Præsidentialisme (da)                 |
| Presidential system (fb:m.01d9r3) | Präsidentielles Regierungssystem (de) |
| Presidential system (fb:m.01d9r3) | Predsedniški sistem (sl)              |
| Presidential system (fb:m.01d9r3) | Predsjednički sustav (hr)             |
| ...                               | ...                                   |
| Federal republic (fb:m.0j729)     | Федеральна республіка (uk)            |
| Federal republic (fb:m.0j729)     | Федеративная республика (ru)          |
| Federal republic (fb:m.0j729)     | רפובליקה פדרלית (iw)                  |
| Federal republic (fb:m.0j729)     | جمهورية فدرالية (ar)                  |
| Federal republic (fb:m.0j729)     | جمهوری فدرال (fa)                     |

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

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?institutionLabel WHERE {
  fb:m.025s5v9 fb:people.person.education ?education .
  ?education fb:education.education.institution ?institution .
  ?institution rdfs:label ?institutionLabel .
}

Got 69 rows and 1 column, showing the first 5 and last 5 rows below:
| institutionLabel                  |
| --------------------------------- |
| Đại học Princeton (vi)            |
| Escola de direito de Harvard (pt) |
| Escuela de Derecho Harvard (es)   |
| Faculté de droit de Harvard (fr)  |
| Harvard Law School (ca)           |
| ...                               |
| ホイットニー・ヤング高校 (ja)                 |
| 哈佛法学院 (zh)                        |
| 哈佛法學院 (zh-Hant)                   |
| 普林斯頓大學 (zh-Hant)                  |
| 普林斯顿大学 (zh)                       |

Michelle Obama graduated from Princeton University and Harvard Law School.

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

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

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

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

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

[User] where did michelle obama graduated from?

[Assistant]
I need to find the graduation location of Michelle Obama.
First, I need to find the entity ID of Michelle Obama.

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

[Assistant]
The entity ID for Michelle Obama is fb:m.025s5v9.
Now I need to find the property that represents where someone graduated from. I will search for properties related to "education" or "graduation".

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

No other items found

[Assistant] The property `fb:people.person.education` seems relevant. Let's find the type of the object of this property.

[Tool]
Got 3 rows and 3 columns:
| subject                       | property                               | object       |
| ----------------------------- | -------------------------------------- | ------------ |
| Michelle Obama (fb:m.025s5v9) | Education (fb:people.person.education) | fb:m.02wn0g2 |
| Michelle Obama (fb:m.025s5v9) | Education (fb:people.person.education) | fb:m.02wpt7p |
| Michelle Obama (fb:m.025s5v9) | Education (fb:people.person.education) | fb:m.0n1db15 |

[Assistant] The objects are fb:m.02wn0g2, fb:m.02wpt7p, and fb:m.0n1db15. Let's find the names of these entities.

[Tool]
Got 10 rows and 3 columns:
| subject      | property                                                           | object                                 |
| ------------ | ------------------------------------------------------------------ | -------------------------------------- |
| fb:m.02wn0g2 | Type (fb:type.object.type)                                         | Education (fb:education.education)     |
| fb:m.02wn0g2 | Has value (fb:freebase.valuenotation.has_value)                    | Start Date (fb:m.028xmgn)              |
| fb:m.02wn0g2 | Institution (fb:education.education.institution)                   | Princeton University (fb:m.05zl0)      |
| fb:m.02wn0g2 | Student (fb:education.education.student)                           | Michelle Obama (fb:m.025s5v9)          |
| fb:m.02wn0g2 | Degree (fb:education.education.degree)                             | Bachelor of Arts (fb:m.014mlp)         |
| fb:m.02wn0g2 | End Date (fb:education.education.end_date)                         | 1985 (xsd:gYear)                       |
| fb:m.02wn0g2 | Major/Field Of Study (fb:education.education.major_field_of_study) | Sociology (fb:m.06ms6)                 |
| fb:m.02wn0g2 | Minor (fb:education.education.minor)                               | African-American studies (fb:m.02c95d) |
| fb:m.02wn0g2 | rdf:type                                                           | Education (fb:education.education)     |
| fb:m.02wn0g2 | Has value (fb:freebase.valuenotation.has_value)                    | Specialization (fb:m.03bv8rc)          |

[Assistant] Princeton University is one of the schools.

[Tool]
Got 10 rows and 3 columns:
| subject      | property                                         | object                              |
| ------------ | ------------------------------------------------ | ----------------------------------- |
| fb:m.02wpt7p | Type (fb:type.object.type)                       | Education (fb:education.education)  |
| fb:m.02wpt7p | Has value (fb:freebase.valuenotation.has_value)  | Major/Field Of Study (fb:m.028xml4) |
| fb:m.02wpt7p | Institution (fb:education.education.institution) | Harvard Law School (fb:m.014zws)    |
| fb:m.02wpt7p | Student (fb:education.education.student)         | Michelle Obama (fb:m.025s5v9)       |
| fb:m.02wpt7p | Degree (fb:education.education.degree)           | Juris Doctor (fb:m.013zdg)          |
| fb:m.02wpt7p | End Date (fb:education.education.end_date)       | 1988 (xsd:gYear)                    |
| fb:m.02wpt7p | Start Date (fb:education.education.start_date)   | 1985 (xsd:gYear)                    |
| fb:m.02wpt7p | rdf:type                                         | Education (fb:education.education)  |
| fb:m.02wpt7p | Has value (fb:freebase.valuenotation.has_value)  | Specialization (fb:m.03bv8rc)       |
| fb:m.02wpt7p | Has value (fb:freebase.valuenotation.has_value)  | Minor (fb:m.03bv8rx)                |

[Assistant] Harvard Law School is another school.

[Tool]
Got 10 rows and 3 columns:
| subject      | property                                         | object                                             |
| ------------ | ------------------------------------------------ | -------------------------------------------------- |
| fb:m.0n1db15 | Type (fb:type.object.type)                       | Education (fb:education.education)                 |
| fb:m.0n1db15 | Has value (fb:freebase.valuenotation.has_value)  | Major/Field Of Study (fb:m.028xml4)                |
| fb:m.0n1db15 | Institution (fb:education.education.institution) | Whitney M. Young Magnet High School (fb:m.09rs7mx) |
| fb:m.0n1db15 | Student (fb:education.education.student)         | Michelle Obama (fb:m.025s5v9)                      |
| fb:m.0n1db15 | End Date (fb:education.education.end_date)       | 1981 (xsd:gYear)                                   |
| fb:m.0n1db15 | rdf:type                                         | Education (fb:education.education)                 |
| fb:m.0n1db15 | Has value (fb:freebase.valuenotation.has_value)  | Degree (fb:m.04qk)                                 |
| fb:m.0n1db15 | Has value (fb:freebase.valuenotation.has_value)  | Start Date (fb:m.028xmgn)                          |
| fb:m.0n1db15 | Has value (fb:freebase.valuenotation.has_value)  | Specialization (fb:m.03bv8rc)                      |
| fb:m.0n1db15 | Has value (fb:freebase.valuenotation.has_value)  | Minor (fb:m.03bv8rx)                               |

[Assistant]
Whitney M. Young Magnet High School is another school.

Now I will construct a SPARQL query to retrieve the institutions where Michelle Obama received her education.

[Tool]
Got 69 rows and 1 column, showing the first 5 and last 5 rows below:
| institutionLabel                  |
| --------------------------------- |
| Đại học Princeton (vi)            |
| Escola de direito de Harvard (pt) |
| Escuela de Derecho Harvard (es)   |
| Faculté de droit de Harvard (fr)  |
| Harvard Law School (ca)           |
| ...                               |
| ホイットニー・ヤング高校 (ja)                 |
| 哈佛法学院 (zh)                        |
| 哈佛法學院 (zh-Hant)                   |
| 普林斯頓大學 (zh-Hant)                  |
| 普林斯顿大学 (zh)                       |

[Tool] Stopped generation process


I am unable to find a SPARQL query that returns the locations of Ancient Greek temples. The Freebase knowledge graph does not seem to have a direct way to link Ancient Greek temples to their locations.

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

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

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

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

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

[User] where were greek temples built?

[Assistant] I need to find the location where Greek temples were built. I will start by searching for the entity "Greek temple".

[Tool]
Top 10 entity alternatives:
1. Greek Temple (fb:m.0zk2rpk): Composition
2. Greek Temple (fb:m.0rpk98): Musical Recording
3. Greek Temple (fb:m.0rpkbl): Musical Recording
4. Greek Temple (fb:m.0qcqzv8)
5. Greek Temple (fb:m.0qk2qwh)
6. Ancient Greek temple (fb:m.03f34_): Greek temples were structures built to house deity statues withi...tian tradition. Most Greek temples were oriented astronomically., Building function
7. Greek Temple II (fb:m.0rpkcp): Musical Recording
8. Greek Temple II (fb:m.0zh587g): Composition
9. Greek Temple II (fb:m.0qhwdpn)
10. Temples, Greek (fb:m.0bq2n64)

[Assistant] The search results show several entities named "Greek Temple". I will use the entity "Ancient Greek temple" (fb:m.03f34_) as it has a description that seems relevant. Now I need to find a property that indicates the location where these temples were built. I will search for properties related to "location" or "place" for the entity "Ancient Greek temple".

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): Object, Text
2. Description (fb:common.topic.description): Topic, Text
3. Image (fb:common.topic.image): Topic, Image
4. Buildings (fb:architecture.building_function.buildings): Building function, Building
5. Key (fb:type.object.key): Object, Key
6. Article (fb:common.topic.article): Document, Topic
7. Type (fb:type.object.type): Object, Type
8. Descriptive name (fb:base.descriptive_names.names.descriptive_name): Plural form, Names
9. Ellerdale ID (fb:user.avh.default_domain.ellerdale_topic.ellerdale_id): Ellerdale Topic, Enumeration
10. Notable types (fb:common.topic.notable_types): Topic, Type

No other items found

[Assistant] The search for properties related to "location" did not return any relevant properties. I will try a broader search using the `list` function to find properties associated with "Ancient Greek temple".

[Tool]
Got 271 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                                                               | object                                                                           |
| ---------------------------------- | ---------------------------------------------------------------------- | -------------------------------------------------------------------------------- |
| Ancient Greek temple (fb:m.03f34_) | Type (fb:type.object.type)                                             | Topic (fb:common.topic)                                                          |
| Ancient Greek temple (fb:m.03f34_) | Key (fb:type.object.key)                                               | /en/greek_temple                                                                 |
| Ancient Greek temple (fb:m.03f34_) | Name (fb:type.object.name)                                             | Ancient Greek temple (en)                                                        |
| Ancient Greek temple (fb:m.03f34_) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage)    | <http://ar.wikipedia.org/wiki/%27%44%45%39%27%28%2F_%27%44%4A%48%46%27%46%4A%29> |
| Ancient Greek temple (fb:m.03f34_) | Notable for (fb:common.topic.notable_for)                              | fb:g.1255n9_v7                                                                   |
| Ancient Greek temple (fb:m.03f34_) | Notable types (fb:common.topic.notable_types)                          | Building function (fb:m.02b8yh9)                                                 |
| Ancient Greek temple (fb:m.03f34_) | Description (fb:common.topic.description)                              | Der griechische Tempel ist urspr...t über 20 Meter Höhe erreichten. (de)         |
| Ancient Greek temple (fb:m.03f34_) | Article (fb:common.topic.article)                                      | fb:m.03f355                                                                      |
| Ancient Greek temple (fb:m.03f34_) | Image (fb:common.topic.image)                                          | Athens Acropolis (fb:m.05pjk_s)                                                  |
| Ancient Greek temple (fb:m.03f34_) | Ellerdale ID (fb:user.avh.default_domain.ellerdale_topic.ellerdale_id) | 009c-4201                                                                        |
| ...                                | ...                                                                    | ...                                                                              |

[Assistant] I still don't see a direct property for location. I will try searching for properties related to "location" more generally.

[Tool]
Top 10 property alternatives:
1. Location (fb:base.localfood.produce_availability.location): Food producing region, Produce availability
2. Location (fb:base.arthist.int_zm_nyek.helynev): Intézmények, Helynevek
3. Location (fb:base.militaryinfiction.event_in_fiction.location): Location in Fiction, Event in Fiction
4. Location (fb:user.robert.earthquakes.earthquake_nearest_location.location): Earthquake nearest location, Earthquake epicenter
5. location (fb:base.cimis.weather_station.location): Weather Station, Geocode
6. Location (fb:fictional_universe.event_in_fiction.location): Fictional Setting, Event in fiction
7. Location (fb:base.virology.biological_sample.location): Biological Sample, Location
8. Location (fb:base.litcentral.source_feature_taxa.location): Source feature taxa, Focal location
9. Location (fb:user.alecf.car_sharing.vehicle_location_value.location): Vehicle Location Value, Share Location
10. Location (fb:broadcast.content.location): Broadcast Content, Location

[Assistant] None of these properties seem directly applicable to temples. I will try a different approach. I will search for "temples in Greece" to see if I can find a category or list of temples that might have location information.

[Tool]
Top 10 entity alternatives:
1. Incunabula in Greece (fb:m.06g9j2c): Book
2. Temples in India (fb:m.0c7wth1): Book Edition
3. Football in Greece (fb:m.0119cyrs): Football is a highly popular sport in Greece.
4. Transport in Greece (fb:m.0119f4kq): Transport in Greece has undergone significant changes in the pas...st decade has come to rely heavily on the construction industry.
5. Religion in Greece (fb:m.0118q5dr): Religion in Greece, is dominated by Greek Orthodox Church, which...nclude Islam, Catholicism, Evangelicalism and Hellenic Paganism.
6. Tourism in Greece (fb:m.01196qxp): Greece attracted 24.5 million people in 2014, contributing 18% t...uristed country in Europe, two out of three people are tourists.
7. Women in Greece (fb:m.0vzrt2m): The status and characteristics of ancient and modern-day women i...ntain their right to inherit property, even after being married.
8. Islam in Greece (fb:m.0116pj38): Islam in Greece is represented by a number of indigenous communi...settled in Athens have added to the numbers of Greece's Muslims.
9. Elections in Greece (fb:m.0119_9r0): Elections in Greece gives information on elections and election results in Greece.
10. Inachos, also known as Inachos, Greece (fb:m.0fn779): Inachos is a former municipality in Aetolia-Acarnania, West Gree... are Empesós, Amorgianoí, Thýamos, Perdikáki, and Néa Malesiáda., City/Town/Village

[Assistant] This search didn't give me a list of temples. I will try to find specific famous Greek temples and then see if I can find their locations. Let's start with the Parthenon.

[Tool]
Top 10 entity alternatives:
1. Parthenon, also known as Parthenon, Athens (fb:m.05x7b): The Parthenon is a former temple on the Athenian Acropolis, Gree...0 BC. The temple is archaeoastronomically aligned to the Hyades., Building
2. Parthenon, also known as Parthenon, Nashville, The Parthenon, The Parthenon, Nashville (fb:m.06j9j7): The Parthenon in Nashville, Tennessee is a full-scale replica of...nt to what is considered the pinnacle of classical architecture., Venue
3. Parthenon (fb:m.0shzzf4): Consumer product
4. Parthenon, Arkansas, also known as Parthenon, Parthenon, Arkansas (fb:m.0487vsh): Parthenon is an unincorporated community in Newton County, Arkan...west of Jasper. Parthenon has a post office with ZIP code 72666., City/Town/Village
5. Parthenon (fb:m.0sm4gft): Musical Album
6. Parthenon (fb:m.0ybp5wn): Musical Recording
7. Parthenon (fb:m.012d40zc): Musical Recording
8. Parthenon (fb:m.0qjkfv): Musical Recording
9. Parthenon (fb:m.0spktpn): Musical Recording
10. Parthenon (fb:m.04220xy)

[Assistant] I found the Parthenon in Athens (fb:m.05x7b). Now I will try to find its location.

[Tool]
Got 744 rows and 3 columns, showing the first 10 rows below:
| subject                | property                                                            | object                                                                    |
| ---------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------- |
| Parthenon (fb:m.05x7b) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                   |
| Parthenon (fb:m.05x7b) | Key (fb:type.object.key)                                            | /base/ranker/rankerurlname/parthenon$002F1758335                          |
| Parthenon (fb:m.05x7b) | Name (fb:type.object.name)                                          | Đền Parthenon (vi)                                                        |
| Parthenon (fb:m.05x7b) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%28%27%31%2B%4A%46%48%46>                   |
| Parthenon (fb:m.05x7b) | Notable for (fb:common.topic.notable_for)                           | fb:g.1258_gg72                                                            |
| Parthenon (fb:m.05x7b) | Notable types (fb:common.topic.notable_types)                       | Building (fb:m.01xljym)                                                   |
| Parthenon (fb:m.05x7b) | Description (fb:common.topic.description)                           | Ang Parthenon ay isang templong ...anakop na Pesiano noong 480 BCE. (fil) |
| Parthenon (fb:m.05x7b) | Article (fb:common.topic.article)                                   | fb:m.05x7n                                                                |
| Parthenon (fb:m.05x7b) | Also known as (fb:common.topic.alias)                               | Parthenon, Athens (en)                                                    |
| Parthenon (fb:m.05x7b) | Contained by (fb:location.location.containedby)                     | Europe (fb:m.02j9z)                                                       |
| ...                    | ...                                                                 | ...                                                                       |

[Assistant] I found the property `Contained by (fb:location.location.containedby)`. It shows that the Parthenon is contained by Europe (fb:m.02j9z). I can also see that it is located in Athens. I will try to find a more specific location. I will search for a property that gives the city or region.

[Tool]
Top 10 property alternatives:
1. Near travel destination (fb:travel.tourist_attraction.near_travel_destination): Tourist attraction, Travel destination
2. Name (fb:type.object.name): Object, Text
3. Street address (fb:location.location.street_address): Location, Address
4. Type (fb:type.object.type): Object, Type
5. Official website (fb:common.topic.official_website): Topic, URI
6. Image (fb:common.topic.image): Topic, Image
7. Key (fb:type.object.key): Object, Key
8. Building Complex (fb:architecture.building.building_complex): Building complex, Building
9. Architect (fb:architecture.structure.architect): Structure, Architect
10. Building elements (fb:base.engineering.structure.building_elements): Structural composition, Structure

No other items found

[Assistant] I see `Street address (fb:location.location.street_address)`. Let's see if that gives us the city.

[Tool]
Got 1 row and 3 columns:
| subject                | property                                             | object       |
| ---------------------- | ---------------------------------------------------- | ------------ |
| Parthenon (fb:m.05x7b) | Street address (fb:location.location.street_address) | fb:m.02sf2w5 |

[Assistant] I got an object `fb:m.02sf2w5`. Let's see what that is.

[Tool]
Got 14 rows and 3 columns, showing the first 10 rows below:
| subject      | property                                                    | object                                      |
| ------------ | ----------------------------------------------------------- | ------------------------------------------- |
| fb:m.02sf2w5 | Type (fb:type.object.type)                                  | Topic (fb:common.topic)                     |
| fb:m.02sf2w5 | Notable for (fb:common.topic.notable_for)                   | fb:g.125dsx3hq                              |
| fb:m.02sf2w5 | Notable types (fb:common.topic.notable_types)               | Location (fb:m.01n7)                        |
| fb:m.02sf2w5 | Geolocation (fb:location.location.geolocation)              | fb:m.02sf2wh                                |
| fb:m.02sf2w5 | City/Town (fb:location.mailing_address.citytown)            | Athens (fb:m.0n2z)                          |
| fb:m.02sf2w5 | Street Address (fb:location.mailing_address.street_address) | Acropolis (en)                              |
| fb:m.02sf2w5 | rdf:type                                                    | Topic (fb:common.topic)                     |
| fb:m.02sf2w5 | fb:kg.object_profile.prominent_type                         | Location (fb:location.location)             |
| fb:m.02sf2w5 | Type (fb:type.object.type)                                  | Inanimate (fb:base.type_ontology.inanimate) |
| fb:m.02sf2w5 | Type (fb:type.object.type)                                  | Location (fb:location.location)             |
| ...          | ...                                                         | ...                                         |

[Assistant] I found the city: Athens (fb:m.0n2z). So, the Parthenon is located in Athens. I will now construct a SPARQL query to find the location of Ancient Greek temples. I will start with a query to find the location of the Parthenon.

[Tool]
Got 1 row and 1 column:
| city               |
| ------------------ |
| Athens (fb:m.0n2z) |

[Assistant] Now I will generalize the query to find the location of any Ancient Greek temple.

[Tool] Got no rows and 1 columns

[Assistant] The query returned no results. I need to revise the query. I will try a different approach. I will use the `containedby` property to find the location.

[Tool] Got no rows and 1 columns

[Assistant] That query also returned no results. I will try to find the type of the Parthenon and use that in the query.

[Tool]
Got 14 rows and 3 columns, showing the first 10 rows below:
| subject                | property | object                                                                  |
| ---------------------- | -------- | ----------------------------------------------------------------------- |
| Parthenon (fb:m.05x7b) | rdf:type | Topic (fb:common.topic)                                                 |
| Parthenon (fb:m.05x7b) | rdf:type | Non-Agent (fb:base.type_ontology.non_agent)                             |
| Parthenon (fb:m.05x7b) | rdf:type | Inanimate (fb:base.type_ontology.inanimate)                             |
| Parthenon (fb:m.05x7b) | rdf:type | Physically Instantiable (fb:base.type_ontology.physically_instantiable) |
| Parthenon (fb:m.05x7b) | rdf:type | Location (fb:location.location)                                         |
| Parthenon (fb:m.05x7b) | rdf:type | Structure (fb:architecture.structure)                                   |
| Parthenon (fb:m.05x7b) | rdf:type | Project focus (fb:projects.project_focus)                               |
| Parthenon (fb:m.05x7b) | rdf:type | Building (fb:architecture.building)                                     |
| Parthenon (fb:m.05x7b) | rdf:type | Tourist attraction (fb:travel.tourist_attraction)                       |
| Parthenon (fb:m.05x7b) | rdf:type | Ontology Instance (fb:base.ontologies.ontology_instance)                |
| ...                    | ...      | ...                                                                     |

[Assistant] I see that the Parthenon is a `Building (fb:architecture.building)`. I will use this type in the query.

[Tool]
Got 101,566 rows and 1 column, showing the first 5 and last 5 rows below:
| location                               |
| -------------------------------------- |
| Japan (fb:m.03_3d)                     |
| Tokyo (fb:m.07dfk)                     |
| Sendai (fb:m.01wr43)                   |
| Japan (fb:m.03_3d)                     |
| Japan (fb:m.03_3d)                     |
| ...                                    |
| Nebraska (fb:m.05fhy)                  |
| Imperial (fb:m.0x5d3)                  |
| Virginia (fb:m.07z1m)                  |
| United States of America (fb:m.09c7w0) |
| Richmond (fb:m.0dzt9)                  |

[Assistant] This query returns many buildings, not just Greek temples. I need to combine the types. I will try to find a common type between `Ancient Greek temple` and `Building`.

[Tool]
Got 271 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                                                               | object                                                                           |
| ---------------------------------- | ---------------------------------------------------------------------- | -------------------------------------------------------------------------------- |
| Ancient Greek temple (fb:m.03f34_) | Type (fb:type.object.type)                                             | Topic (fb:common.topic)                                                          |
| Ancient Greek temple (fb:m.03f34_) | Key (fb:type.object.key)                                               | /en/greek_temple                                                                 |
| Ancient Greek temple (fb:m.03f34_) | Name (fb:type.object.name)                                             | Ancient Greek temple (en)                                                        |
| Ancient Greek temple (fb:m.03f34_) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage)    | <http://ar.wikipedia.org/wiki/%27%44%45%39%27%28%2F_%27%44%4A%48%46%27%46%4A%29> |
| Ancient Greek temple (fb:m.03f34_) | Notable for (fb:common.topic.notable_for)                              | fb:g.1255n9_v7                                                                   |
| Ancient Greek temple (fb:m.03f34_) | Notable types (fb:common.topic.notable_types)                          | Building function (fb:m.02b8yh9)                                                 |
| Ancient Greek temple (fb:m.03f34_) | Description (fb:common.topic.description)                              | Der griechische Tempel ist urspr...t über 20 Meter Höhe erreichten. (de)         |
| Ancient Greek temple (fb:m.03f34_) | Article (fb:common.topic.article)                                      | fb:m.03f355                                                                      |
| Ancient Greek temple (fb:m.03f34_) | Image (fb:common.topic.image)                                          | Athens Acropolis (fb:m.05pjk_s)                                                  |
| Ancient Greek temple (fb:m.03f34_) | Ellerdale ID (fb:user.avh.default_domain.ellerdale_topic.ellerdale_id) | 009c-4201                                                                        |
| ...                                | ...                                                                    | ...                                                                              |

[Assistant] I see that `Ancient Greek temple` has `Notable types (fb:common.topic.notable_types) Building function (fb:m.02b8yh9)`. I will try to use this.

[Tool] Got no rows and 1 columns

[Assistant] I will try to find the location of the Parthenon using geolocation.

[Tool]
Got 744 rows and 3 columns, showing the first 10 rows below:
| subject                | property                                                            | object                                                                    |
| ---------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------- |
| Parthenon (fb:m.05x7b) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                   |
| Parthenon (fb:m.05x7b) | Key (fb:type.object.key)                                            | /base/ranker/rankerurlname/parthenon$002F1758335                          |
| Parthenon (fb:m.05x7b) | Name (fb:type.object.name)                                          | Đền Parthenon (vi)                                                        |
| Parthenon (fb:m.05x7b) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%28%27%31%2B%4A%46%48%46>                   |
| Parthenon (fb:m.05x7b) | Notable for (fb:common.topic.notable_for)                           | fb:g.1258_gg72                                                            |
| Parthenon (fb:m.05x7b) | Notable types (fb:common.topic.notable_types)                       | Building (fb:m.01xljym)                                                   |
| Parthenon (fb:m.05x7b) | Description (fb:common.topic.description)                           | Ang Parthenon ay isang templong ...anakop na Pesiano noong 480 BCE. (fil) |
| Parthenon (fb:m.05x7b) | Article (fb:common.topic.article)                                   | fb:m.05x7n                                                                |
| Parthenon (fb:m.05x7b) | Also known as (fb:common.topic.alias)                               | Parthenon, Athens (en)                                                    |
| Parthenon (fb:m.05x7b) | Contained by (fb:location.location.containedby)                     | Europe (fb:m.02j9z)                                                       |
| ...                    | ...                                                                 | ...                                                                       |

[Assistant] I don't see geolocation directly for the Parthenon. However, the street address `fb:m.02sf2w5` has geolocation.

[Tool]
Got 14 rows and 3 columns, showing the first 10 rows below:
| subject      | property                                                    | object                                      |
| ------------ | ----------------------------------------------------------- | ------------------------------------------- |
| fb:m.02sf2w5 | Type (fb:type.object.type)                                  | Topic (fb:common.topic)                     |
| fb:m.02sf2w5 | Notable for (fb:common.topic.notable_for)                   | fb:g.125dsx3hq                              |
| fb:m.02sf2w5 | Notable types (fb:common.topic.notable_types)               | Location (fb:m.01n7)                        |
| fb:m.02sf2w5 | Geolocation (fb:location.location.geolocation)              | fb:m.02sf2wh                                |
| fb:m.02sf2w5 | City/Town (fb:location.mailing_address.citytown)            | Athens (fb:m.0n2z)                          |
| fb:m.02sf2w5 | Street Address (fb:location.mailing_address.street_address) | Acropolis (en)                              |
| fb:m.02sf2w5 | rdf:type                                                    | Topic (fb:common.topic)                     |
| fb:m.02sf2w5 | fb:kg.object_profile.prominent_type                         | Location (fb:location.location)             |
| fb:m.02sf2w5 | Type (fb:type.object.type)                                  | Inanimate (fb:base.type_ontology.inanimate) |
| fb:m.02sf2w5 | Type (fb:type.object.type)                                  | Location (fb:location.location)             |
| ...          | ...                                                         | ...                                         |

[Assistant] The geolocation is `fb:m.02sf2wh`. Let's see what that is.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                  | object                        |
| ------------ | ----------------------------------------- | ----------------------------- |
| fb:m.02sf2wh | Type (fb:type.object.type)                | Geocode (fb:location.geocode) |
| fb:m.02sf2wh | Latitude (fb:location.geocode.latitude)   | 37.971497                     |
| fb:m.02sf2wh | Longitude (fb:location.geocode.longitude) | 23.726581                     |
| fb:m.02sf2wh | rdf:type                                  | Geocode (fb:location.geocode) |

[Assistant] I have the latitude and longitude. I will construct a query to find the latitude and longitude of the Parthenon.

[Tool]
Got 1 row and 2 columns:
| lat       | long      |
| --------- | --------- |
| 37.971497 | 23.726581 |

[Assistant] Now I will try to generalize this query to find the latitude and longitude of Ancient Greek temples.

[Tool] Got no rows and 2 columns

[Assistant] I am unable to find a query that returns the locations of Ancient Greek temples. I will try a different approach. I will search for a list of ancient sites in Greece and then try to extract the temples from that list.

[Tool]
Top 10 entity alternatives:
1. Slavery in ancient Greece (fb:m.0d427v): Slavery was a very common practice in Ancient Greek history, as ...ade no substantial differentiation between slaves and craftsmen.
2. Pederasty in ancient Greece (fb:m.0979f6): Pederasty in ancient Greece was a socially acknowledged erotic r... the general Classical Athenian reassessment of Archaic culture., Literature Subject
3. Women in ancient Greece (fb:m.08dhbjr): Book Edition
4. Slavery in ancient Greece (fb:m.0c6dr4g): Book Edition
5. Warfare in ancient Greece (fb:m.0c5v9q4): Book Edition
6. Women in ancient Greece (fb:m.0946zw6): Book Edition
7. Diplomacy in ancient Greece (fb:m.0c8fmb6): Book Edition
8. Gynaecology in Ancient Greece (fb:m.0fqq85j): Musical Recording
9. Mathematics in Ancient Greece (fb:m.04wg7l0): Book
10. Once in Ancient Greece (fb:m.0q2ct0): Musical Recording

[Assistant] This search did not return a list of sites. I will try a more general search for "ancient sites".

[Tool]
Top 10 entity alternatives:
1. Ancient Sites of Hawai'i (fb:m.06h6wc4): Book
2. Jerusalem; some ancient sites (fb:m.0c8fg71): Book Edition
3. Ancient sites in Galilee (fb:m.0c3fhyj): Book
4. Jerusalem; some ancient sites (fb:m.0c4_klr): Book
5. Kiln sites of ancient China (fb:m.06qlby6): Book
6. Sacred Sites of Ancient Egypt (fb:m.06rjjdv): Book
7. Egypt: ancient sites and modern scenes (fb:m.06h1_y5): Book
8. Guide to Ancient Sites in Britain (fb:m.06crb1m): Book
9. Conservation of ancient monuments and sites (fb:m.06kmrt9): Book
10. Guide to ancient Native American sites (fb:m.067vnwn): Book

[Assistant] This search also returns books. I am unable to find a suitable query to answer the question.

[Tool] Stopped generation process


Failed to generate 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 https://qlever.cs.uni-freiburg.de/api/freebase

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

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

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

[User] what is the current time in bangalore india?

[Assistant] I cannot answer this question directly using the available tools. I do not have access to real-time information like the current time. I can only query the knowledge graph.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?composition ?composition_label WHERE {
  fb:m.01vvy fb:music.composer.compositions ?composition .
  OPTIONAL {
    ?composition rdfs:label ?composition_label .
  }
}

Got 903 rows and 2 columns, showing the first 5 and last 5 rows below:
| composition                                            | composition_label                                                        |
| ------------------------------------------------------ | ------------------------------------------------------------------------ |
| fb:g.11b821q1dm                                        | Pelléas et Mélisande - Concert S.... Un appartement dans le château (fr) |
| Lindaraja (fb:g.120ldwp4)                              | Lindaraja (en)                                                           |
| Lindaraja (fb:g.120ldwp4)                              | Lindaraja (es)                                                           |
| Lindaraja (fb:g.120ldwp4)                              | Lindaraja (et)                                                           |
| fb:g.1234bndn                                          |                                                                          |
| ...                                                    | ...                                                                      |
| fb:m.0zxwzf0                                           | Trois Ballades de François Villo...III. Ballade des femmes de Paris (fr) |
| Images pour orchestre, L 122: I. Gigues (fb:m.0zxxg9g) | Images pour orchestre, L 122: I. Gigues (en)                             |
| Images pour orchestre, L 122: I. Gigues (fb:m.0zxxg9g) | Images pour orchestre, L 122: I. Gigues (fr)                             |
| fb:m.0zxxtm4                                           | Fête galante, L. 23, CD 31, mélo...ilà Sylandre et Lycas et Myrtil" (fr) |
| fb:m.0zxy7vf                                           | Pelléas et Mélisande: Act IV, Sc...soir" (Golaud, Arkel, Mélisande) (fr) |

Claude Debussy composed the following pieces of music:

SELECT ?composition ?composition_label WHERE { fb:m.01vvy fb:music.composer.compositions ?composition . OPTIONAL { ?composition rdfs:label ?composition_label . } }

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

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

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

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

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

[User] what pieces of music did claude debussy compose?

[Assistant] Okay, let's start by finding the entity ID for Claude Debussy.

[Tool]
Top 10 entity alternatives:
1. Claude Debussy, also known as Calude Debussy, クロード・ドビュッシー, クロード・アシル・ドビュッシー, 드뷔시, Debyssy (fb:m.01vvy): Claude-Achille Debussy was a French composer. Along with Maurice...ebussy both as a composer and as an active cultural participant., Composer
2. Claude Debussy (fb:m.0c9hm3g): Book Edition
3. Claude Debussy (fb:m.010x5z5): Musical Recording
4. Claude Debussy (fb:m.0ndfjdx): Claude Debussy is a fictional character from the 1988 film Camille Claudel., Film character
5. Claude Debussy (fb:m.0c37836): Book
6. Claude Debussy (fb:m.0c3r4nz): Book
7. Claude Debussy (fb:m.0kln9hh)
8. Claude-Emma Debussy, also known as シュシュ, クロード・エンマ, クロード・エンマ・ドビュッシー, Chou-Chou (fb:m.07jw5zq): Claude-Emma Debussy was the only daughter of Claude Debussy., Deceased Person
9. Claude Debussy (I) (fb:m.0fmvxw2): Musical Release
10. Reverie (Claude Debussy), also known as Reverie (Turtle Island String Quartet) (fb:m.0103tfz): Musical Recording

[Assistant] The most likely entity ID for Claude Debussy is fb:m.01vvy. Now, let's find the property that relates a composer to their works. I'll search for properties of the entity "Claude Debussy" related to "music" or "work".

[Tool]
Top 10 property alternatives:
1. Musical Genres (fb:music.artist.genre): Musical Artist, Musical genre
2. Instruments Played (fb:music.group_member.instruments_played): Musical instrument, Musician
3. Albums (fb:music.artist.album): Musical Artist, Musical Album
4. Music catalog (fb:base.catalog.cataloged_composer.music_catalog): Cataloged composer, Music catalog
5. Recordings (fb:music.artist.track): Musical Recording, Musical Artist
6. Works Composed (fb:music.composer.compositions): Composition, Composer
7. Content (fb:broadcast.artist.content): Broadcast Content, Broadcast Artist
8. Active as Musical Artist (end) (fb:music.artist.active_end): Musical Artist, Date/Time
9. Works written (fb:book.author.works_written): Written Work, Author
10. Composition (fb:base.musiteca.music_teacher.composition): Composition, Composer

No other items found

[Assistant] The property "Works Composed" (fb:music.composer.compositions) seems to be the most appropriate. Let's use this property to find the musical pieces composed by Claude Debussy.

[Tool]
Got 508 rows and 1 column, showing the first 5 and last 5 rows below:
| composition                                            |
| ------------------------------------------------------ |
| fb:g.11b821q1dm                                        |
| Lindaraja (fb:g.120ldwp4)                              |
| fb:g.1234bndn                                          |
| fb:g.1234nfvz                                          |
| Le promenoir des deux amants (fb:g.1ym_l6xb0)          |
| ...                                                    |
| fb:m.0zxwtzf                                           |
| fb:m.0zxwzf0                                           |
| Images pour orchestre, L 122: I. Gigues (fb:m.0zxxg9g) |
| fb:m.0zxxtm4                                           |
| fb:m.0zxy7vf                                           |

[Assistant] The query returns a list of compositions. Let's add labels to the compositions to make the result more readable.

[Tool]
Got 903 rows and 2 columns, showing the first 5 and last 5 rows below:
| composition                                            | composition_label                                                        |
| ------------------------------------------------------ | ------------------------------------------------------------------------ |
| fb:g.11b821q1dm                                        | Pelléas et Mélisande - Concert S.... Un appartement dans le château (fr) |
| Lindaraja (fb:g.120ldwp4)                              | Lindaraja (en)                                                           |
| Lindaraja (fb:g.120ldwp4)                              | Lindaraja (es)                                                           |
| Lindaraja (fb:g.120ldwp4)                              | Lindaraja (et)                                                           |
| fb:g.1234bndn                                          |                                                                          |
| ...                                                    | ...                                                                      |
| fb:m.0zxwzf0                                           | Trois Ballades de François Villo...III. Ballade des femmes de Paris (fr) |
| Images pour orchestre, L 122: I. Gigues (fb:m.0zxxg9g) | Images pour orchestre, L 122: I. Gigues (en)                             |
| Images pour orchestre, L 122: I. Gigues (fb:m.0zxxg9g) | Images pour orchestre, L 122: I. Gigues (fr)                             |
| fb:m.0zxxtm4                                           | Fête galante, L. 23, CD 31, mélo...ilà Sylandre et Lycas et Myrtil" (fr) |
| fb:m.0zxy7vf                                           | Pelléas et Mélisande: Act IV, Sc...soir" (Golaud, Arkel, Mélisande) (fr) |

[Assistant] This looks good. I'll provide the answer now.

[Tool] Stopped generation process


SELECT (YEAR(fb:government.government_position_held.from) - 1) WHERE {
  fb:m.09b6zr fb:government.politician.government_positions_held ?position .
  ?position fb:government.government_position_held.office_position_or_title fb:m.060d2 .
  ?position fb:government.government_position_held.from ?from .
}

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

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

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

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

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

[User] what year was george w bush elected?

[Assistant] Okay, let's start by searching for the entity "George W. Bush" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. George W. Bush, also known as Gov. George W. Bush, Pres. George W. Bush, Junior, President Bush, President George Bush (fb:m.09b6zr): George Walker Bush is an American politician and businessman who...s president, the September 11, 2001, terrorist attacks occurred., US President
2. W., also known as W: Una película sobre G. Bush, W., l'improbable président, W. - Ein missverstandenes Leben, Oliver Stone's W., Hijo de... Bush (fb:m.03m5y9p): W. is a 2008 American biographical drama film loosely based on t... 12, 2008, in Louisiana and the film was released on October 17., Award-Winning Work
3. President George Walker Bush, also known as George W. Bush (Will Ferrell), George W. Bush (Will Forte), George W. Bush, George Bush (fb:m.0gxp2zw): George W. Bush is a fictional character form the 2008 film Harold & Kumar Escape from Guatanamo Bay., President George Walker Bush is a fictional character from the 2008 film Mission Istaanbul., George W. Bush is a fictional character from the 2010 documentary film I Want Your Money., George W. Bush is the fictional representation of George W. Bush in films., Film character
4. George W. Bush, also known as President Bush (fb:m.0ghnnb3): As producers travel to Kennebunkport, Maine, for a visit to the ...at risk her chance to have crucial planning meetings with Oprah., TV Episode
5. George W. Bush (fb:m.05dkm_3): Guest Rob Lowe., TV Episode
6. George W. Bush (fb:m.05dkm_p): TV Episode
7. George W. Bush (fb:m.06yz412): TV Episode
8. George W. Bush (fb:m.04wjbv9): Book
9. George W. Bush (fb:m.06y_lz4): TV Episode
10. George W. Bush (fb:m.0f6lt0h): Musical Recording

[Assistant] The first result, "George W. Bush (fb:m.09b6zr)", seems to be the correct entity. Now, let's find the property related to "election" or "office".

[Tool]
Top 10 property alternatives:
1. Election campaigns (fb:government.politician.election_campaigns): Election campaign, Politician
2. Party (fb:government.politician.party): Political Party Tenure, Politician
3. Government Positions Held (fb:government.politician.government_positions_held): Government Position Held, Politician
4. Key (fb:type.object.key): Object, Key
5. Inauguration (fb:base.inaugurations.inauguration_speaker.inauguration): Inauguration Speaker, Inauguration
6. President number (fb:government.us_president.presidency_number): US President, Integer
7. Vice president (fb:government.us_president.vice_president): US Vice President, US President
8. Country of nationality (fb:people.person.nationality): Country, Person
9. Nominated At (fb:base.politicalconventions.presidential_nominee.nominated_at): U.S. Presidential Nominating Convention, Presidential Nominee
10. Appointment made (fb:people.appointer.appointment_made): Appointment, Appointer

No other items found

[Assistant] The property "Government Positions Held (fb:government.politician.government_positions_held)" seems relevant. Let's use this property to find the election year.

[Tool]
Got 2 rows and 3 columns:
| subject                      | property                                                                       | object       |
| ---------------------------- | ------------------------------------------------------------------------------ | ------------ |
| George W. Bush (fb:m.09b6zr) | Government Positions Held (fb:government.politician.government_positions_held) | fb:m.02h6phn |
| George W. Bush (fb:m.09b6zr) | Government Positions Held (fb:government.politician.government_positions_held) | fb:m.04ks0l1 |

[Assistant] We have two government positions held: fb:m.02h6phn and fb:m.04ks0l1. Let's examine these objects to find the election year. First, let's examine fb:m.02h6phn.

[Tool]
Got 8 rows and 3 columns:
| subject      | property                                                                                | object                                                            |
| ------------ | -------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.02h6phn | Type (fb:type.object.type)                                                                   | Government Position Held (fb:government.government_position_held) |
| fb:m.02h6phn | Officeholder (fb:government.government_position_held.office_holder)                          | George W. Bush (fb:m.09b6zr)                                      |
| fb:m.02h6phn | From (fb:government.government_position_held.from)                                           | 2001-01-20 (xsd:date)                                             |
| fb:m.02h6phn | Office, position, or title (fb:government.government_position_held.office_position_or_title) | President of the United States (fb:m.060d2)                       |
| fb:m.02h6phn | Basic title (fb:government.government_position_held.basic_title)                             | President (fb:m.060c4)                                            |
| fb:m.02h6phn | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)       | United States of America (fb:m.09c7w0)                            |
| fb:m.02h6phn | To (fb:government.government_position_held.to)                                               | 2009-01-20 (xsd:date)                                             |
| fb:m.02h6phn | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Assistant] From the results, we see that the "from" date is 2001-01-20. This is the start date of his presidency. To find the election year, we need to look for the election that preceded this date. Let's check the other government position held, fb:m.04ks0l1.

[Tool]
Got 14 rows and 3 columns, showing the first 10 rows below:
| subject      | property                                                                                | object                                                            |
| ------------ | -------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.04ks0l1 | Type (fb:type.object.type)                                                                   | Government Position Held (fb:government.government_position_held) |
| fb:m.04ks0l1 | Is reviewed (fb:freebase.valuenotation.is_reviewed)                                          | Officeholder (fb:m.02xlh86)                                       |
| fb:m.04ks0l1 | Officeholder (fb:government.government_position_held.office_holder)                          | George W. Bush (fb:m.09b6zr)                                      |
| fb:m.04ks0l1 | From (fb:government.government_position_held.from)                                           | 1995-01-17 (xsd:date)                                             |
| fb:m.04ks0l1 | Office, position, or title (fb:government.government_position_held.office_position_or_title) | Governor of Texas (fb:m.0fqqygh)                                  |
| fb:m.04ks0l1 | Basic title (fb:government.government_position_held.basic_title)                             | Governor (fb:m.0fkvn)                                             |
| fb:m.04ks0l1 | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)       | Texas (fb:m.07b_l)                                                |
| fb:m.04ks0l1 | To (fb:government.government_position_held.to)                                               | 2000-12-21 (xsd:date)                                             |
| fb:m.04ks0l1 | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |
| fb:m.04ks0l1 | Is reviewed (fb:freebase.valuenotation.is_reviewed)                                          | Basic title (fb:m.0h5vz3d)                                        |
| ...          | ...                                                                                | ...                                                               |

[Assistant]
This is the term as Governor of Texas, from 1995-01-17 to 2000-12-21. Since his term as president started in 2001, the election year must have been 2000.

Now, let's construct a SPARQL query to confirm this. We want to find the "from" date of the government position held where the office is President of the United States and the officeholder is George W. Bush. Then, we can subtract one year to get the election year.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?alias WHERE {
  fb:m.0k0sb fb:common.topic.alias ?alias .
}

Got 4 rows and 1 column:
| alias              |
| ------------------ |
| Bosnian (en)       |
| Montenegrin (en)   |
| Serbian (en)       |
| Serbisk språk (no) |

Serbian

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

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

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

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

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

[User] what is serbian language called?

[Tool]
Top 10 entity alternatives:
1. Serbian language, also known as Serbian, Montenegrin, Bosnian (fb:m.0k0sb): Serbian is the standardized variety of the Serbo-Croatian langua...alphabet was designed by Croatian linguist Ljudevit Gaj in 1830., Human Language
2. Serbian language (fb:m.0bpm0hg)
3. Romano-Serbian language, also known as Serbian Romany language, Tent Gypsy (fb:m.013rcr): The Romano-Serbian language is a mixed language resulting from l...ies and distinct from the Vlax Romani dialects spoken in Serbia., Human Language
4. Serbian Cyrillic language (fb:m.010s9tqk)
5. Serbian language in Croatia (fb:m.012mc3g8): The Serbian language is one of officially recognized minority la...s sre two standardized varieties of the Serbo-Croatian language.
6. Board for Standardization of the Serbian Language (fb:m.03c82v8): The Board for Standardization of the Serbian Language is a lingu...ić University of Kragujevac Srpska književna zadruga in Belgrade, Organization
7. Language (fb:m.04g7d): Language is the ability to acquire and use complex systems of co...istling. This is because human language is modality-independent., Website Category
8. Language (fb:type.lang)
9. Serbian (fb:m.0l_22p)
10. Language (fb:m.0l8pmj1): "Language" is a song by American electronic music producer and D... Chart. The song features uncredited vocals from Heather Bright., Composition

[Assistant] The entity "Serbian language" (fb:m.0k0sb) seems most appropriate. I will now search for the properties of this entity.

[Tool]
Got 728 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                                                            | object                                                                   |
| ----------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Serbian language (fb:m.0k0sb) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Serbian language (fb:m.0k0sb) | Key (fb:type.object.key)                                            | /authority/iso/639_1/sr                                                  |
| Serbian language (fb:m.0k0sb) | Name (fb:type.object.name)                                          | Bahasa Serbia (id)                                                       |
| Serbian language (fb:m.0k0sb) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%44%3A%29_%35%31%28%4A%29>                 |
| Serbian language (fb:m.0k0sb) | Notable for (fb:common.topic.notable_for)                           | fb:g.125cc43dx                                                           |
| Serbian language (fb:m.0k0sb) | Notable types (fb:common.topic.notable_types)                       | Human Language (fb:m.0358)                                               |
| Serbian language (fb:m.0k0sb) | Description (fb:common.topic.description)                           | A língua sérvia é uma língua esl...adrões do dialecto servo-croata. (pt) |
| Serbian language (fb:m.0k0sb) | Article (fb:common.topic.article)                                   | fb:m.0k0sn                                                               |
| Serbian language (fb:m.0k0sb) | Also known as (fb:common.topic.alias)                               | Bosnian (en)                                                             |
| Serbian language (fb:m.0k0sb) | Image (fb:common.topic.image)                                       | Map of Serbian language - official or recognized (fb:m.059z_c9)          |
| ...                           | ...                                                                 | ...                                                                      |

[Assistant] The property "fb:type.object.name" seems to provide names for the language in different languages. The property "fb:common.topic.alias" provides alternative names. I will use "fb:type.object.name" to get the names of the Serbian language.

[Tool]
Got 43 rows and 1 column, showing the first 5 and last 5 rows below:
| name                   |
| ---------------------- |
| Bahasa Serbia (id)     |
| Bahasa Serbia (ms)     |
| Idioma serbio (es)     |
| Idioma serbio (es-419) |
| Język serbski (pl)     |
| ...                    |
| ภาษาเซอร์เบีย (th)     |
| 세르비아어 (ko)             |
| セルビア語 (ja)             |
| 塞尔维亚语 (zh)             |
| 塞爾維亞語 (zh-Hant)        |

[Assistant] The query returns the name of the Serbian language in different languages. I will now use the alias property to find alternative names.

[Tool]
Got 4 rows and 1 column:
| alias              |
| ------------------ |
| Bosnian (en)       |
| Montenegrin (en)   |
| Serbian (en)       |
| Serbisk språk (no) |

[Assistant] The aliases include "Bosnian", "Montenegrin", and "Serbian". The question asks what the Serbian language is called. I will return "Serbian" as the answer.

[Tool] Stopped generation process