PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?country WHERE {
  ?person rdfs:label "José Manuel Barroso" @en .
  ?person fb:government.politician.government_positions_held ?position .
  ?position fb:government.government_position_held.jurisdiction_of_office ?country .
  ?country fb:location.country.official_language fb:m.05zjd .
}

The country where Portuguese is spoken as an official language and where José Manuel Barroso was appointed to a governmental position is Portugal.

[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 country do they speak Portuguese and where they appointed JosÃ© Manuel Barroso to a governmental position?

[Assistant]
The user question asks for the country where Portuguese is spoken and where José Manuel Barroso was appointed to a governmental position. To answer this, I need to:

1. Identify the entity "José Manuel Barroso" in the knowledge graph.
2. Find the governmental positions or roles he was appointed to.
3. Determine the country associated with those governmental positions.
4. Verify that Portuguese is spoken in that country.

I will start by searching for the entity "José Manuel Barroso" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. José Manuel Barroso, also known as Jose Manuel Durao Barroso, José Manuel Durão Barroso (fb:m.01zps5): José Manuel Durão Barroso is a Portuguese politician who was the...as Prime Minister of Portugal from 6 April 2002 to 17 July 2004., has type Politician
2. José Manuel Ramos Barroso (fb:m.0hr1s9j): José Manuel Ramos Barroso was a Puerto Rican politician and Sena... He was a member of the Senate of Puerto Rico from 1977 to 1985., has type Person
3. Manuel José de Jesus, also known as Manuel Jose (fb:m.0b9b3c): Manuel José de Jesus Silva, ComM, known simply as Manuel José, i... team to the medal positions in the FIFA Club World Cup in 2006., has type Football player
4. José Manuel Figueroa, also known as José Manuel, José Manuel Figueroa González (fb:m.0h4vds1): José Manuel Figueroa Jr. is a popular Mexican singer, songwriter...eroa's father, Joan Sebastian died on July 13, 2015 at 7:15pm CT, José Manuel Figueroa is a singer and composer., has type Musical Artist
5. Jose Manuel, also known as Thomas Adamec, Simon Dusek, Josef Kob (fb:m.07x4hc5): has type Film actor
6. Manuel Barroso (fb:m.0n3w098): Manuel Barroso is a Portuguese modern pentathlete. He competed at the 1984, 1988, 1992 and 1996 Summer Olympics., has type Athlete
7. José Barroso (fb:m.0cc9m0x): José Alberto da Mota Barroso is a Portuguese retired footballer ...ls of 328 games and 55 goals, mainly in representation of Braga., has type Football player
8. Jose Manuel (fb:m.0y1h5mh): has type Musical Artist
9. Jotta Barroso, also known as José Barroso (fb:m.0wpg4kp): Jotta Barroso is an actor and production designer., has type Film story contributor
10. Manuel José (fb:m.0j27bt1): Manuel José was a New Zealand trader and founding father. A Span... among the Māori people, retiring to Tikapa on the Waiapu River., has type Deceased Person

[Assistant] I found the entity José Manuel Barroso with the Freebase ID fb:m.01zps5. He is a Portuguese politician and was Prime Minister of Portugal. Next, I will search for the governmental positions or roles he was appointed to. I will look for properties related to governmental positions or roles for this entity.

[Tool]
Top 10 property alternatives:
1. Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
2. Leader of (fb:business.board_member.leader_of): links to type Organization leadership, part of Organization leader schema
3. Appointees (fb:government.political_appointer.appointees): links to type Government Position Held, part of Political Appointer schema
4. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
5. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Belongs to Order (fb:royalty.chivalric_order_member.belongs_to_order): links to type Chivalric Order Membership, part of Chivalric Order Member schema
8. Image (fb:common.topic.image): part of Topic schema, links to type Image
9. Profession (fb:people.person.profession): links to type Profession, part of Person schema
10. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema

No other items found

[Assistant] The property "Government Positions Held" (fb:government.politician.government_positions_held) seems to be the relevant property for finding the governmental positions José Manuel Barroso held. I will now query the governmental positions held by José Manuel Barroso using this property.

[Tool]
Got 3 rows and 3 columns:
| subject                           | property                                                                       | object        |
| --------------------------------- | ------------------------------------------------------------------------------ | ------------- |
| José Manuel Barroso (fb:m.01zps5) | Government Positions Held (fb:government.politician.government_positions_held) | fb:m.010g46jf |
| José Manuel Barroso (fb:m.01zps5) | Government Positions Held (fb:government.politician.government_positions_held) | fb:m.04szrh4  |
| José Manuel Barroso (fb:m.01zps5) | Government Positions Held (fb:government.politician.government_positions_held) | fb:m.0djv3dp  |

[Assistant] José Manuel Barroso held three governmental positions with the IDs fb:m.010g46jf, fb:m.04szrh4, and fb:m.0djv3dp. I will now retrieve the labels or names of these governmental positions to understand what they are.

[Tool]
Got 7 rows and 3 columns:
| subject       | property                                                                               | object                                                            |
| ------------- | -------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.010g46jf | Type (fb:type.object.type)                                                             | Government Position Held (fb:government.government_position_held) |
| fb:m.010g46jf | Officeholder (fb:government.government_position_held.office_holder)                    | José Manuel Barroso (fb:m.01zps5)                                 |
| fb:m.010g46jf | From (fb:government.government_position_held.from)                                     | 2002-04-06 (xsd:date)                                             |
| fb:m.010g46jf | Basic title (fb:government.government_position_held.basic_title)                       | Prime minister (fb:m.060bp)                                       |
| fb:m.010g46jf | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office) | Portugal (fb:m.05r4w)                                             |
| fb:m.010g46jf | To (fb:government.government_position_held.to)                                         | 2004-07-17 (xsd:date)                                             |
| fb:m.010g46jf | rdf:type                                                                               | Government Position Held (fb:government.government_position_held) |

[Assistant] The governmental position with ID fb:m.010g46jf is "Prime minister" with jurisdiction "Portugal." I will now check the other two governmental positions to see if they also relate to Portugal.

[Tool]
Got 6 rows and 3 columns:
| subject      | property                                                                                | object                                                            |
| ------------ | --------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.04szrh4 | Type (fb:type.object.type)                                                                                | Government Position Held (fb:government.government_position_held) |
| fb:m.04szrh4 | Officeholder (fb:government.government_position_held.office_holder)                                       | José Manuel Barroso (fb:m.01zps5)                                 |
| fb:m.04szrh4 | Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body) | Assembly of the Republic (fb:m.0487sx)                            |
| fb:m.04szrh4 | From (fb:government.government_position_held.from)                                                        | 1995 (xsd:gYear)                                                  |
| fb:m.04szrh4 | To (fb:government.government_position_held.to)                                                            | 2004 (xsd:gYear)                                                  |
| fb:m.04szrh4 | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Assistant] The governmental position with ID fb:m.04szrh4 is part of the "Assembly of the Republic." This is the Portuguese parliament, so this position is also related to Portugal. I will check the last governmental position now.

[Tool]
Got 9 rows and 3 columns:
| subject      | property                                                                                | object                                                            |
| ------------ | --------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.0djv3dp | Type (fb:type.object.type)                                                                                | Government Position Held (fb:government.government_position_held) |
| fb:m.0djv3dp | Officeholder (fb:government.government_position_held.office_holder)                                       | José Manuel Barroso (fb:m.01zps5)                                 |
| fb:m.0djv3dp | Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body) | Government of Portugal (fb:m.0bxb7c)                              |
| fb:m.0djv3dp | Basic title (fb:government.government_position_held.basic_title)                                          | Foreign Minister (fb:m.01t_55)                                    |
| fb:m.0djv3dp | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)                    | Portugal (fb:m.05r4w)                                             |
| fb:m.0djv3dp | To (fb:government.government_position_held.to)                                                            | 1995-10-28 (xsd:date)                                             |
| fb:m.0djv3dp | Legislative sessions (fb:government.government_position_held.legislative_sessions)                        | 12th Constitutional Government (of Portugal) (fb:m.0djv1bm)       |
| fb:m.0djv3dp | Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by)             | Aníbal Cavaco Silva (fb:m.02jbmn)                                 |
| fb:m.0djv3dp | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Assistant]
The governmental position with ID fb:m.0djv3dp is "Foreign Minister" with jurisdiction "Portugal." It was part of the Government of Portugal.

Since all the governmental positions held by José Manuel Barroso are related to Portugal, and Portuguese is the official language of Portugal, the answer to the user's question is Portugal.

I will now formulate the final SPARQL query to retrieve the country where Portuguese is spoken and where José Manuel Barroso was appointed to a governmental position. The country should be Portugal.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query correctly identifies Portugal as the country where Portuguese is spoken and where José Manuel Barroso held a governmental position. However, the FILTER conditions are redundant and may limit the query unnecessarily. Specifically, filtering the country label to contain "portugal" is sufficient, and filtering aliases for "portuguese" is not reliable for confirming the language spoken in the country. Instead, the query should explicitly check for the official language property or a more direct link to the Portuguese language to ensure the country speaks Portuguese. Also, the query returns multiple labels for Portugal in different languages, which is expected, but the answer should clarify that Portugal is the single country meeting the criteria. Refining the query to explicitly check for the language spoken in the country would improve accuracy and completeness.

[Assistant] Thank you for the feedback. I will refine the query to explicitly check for the official language spoken in the country rather than relying on aliases. I will look for a property that links the country to the Portuguese language and ensure the country is Portugal where José Manuel Barroso held governmental positions. I will remove the redundant filters and focus on the official language property. I will now search for properties related to the official language or languages spoken for the country Portugal.

[Tool]
Top 10 property alternatives:
1. Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema
2. Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text
3. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
4. Government (fb:government.governmental_jurisdiction.government): part of Governmental Jurisdiction schema, links to type Government
5. Government bodies (fb:government.governmental_jurisdiction.government_bodies): part of Governmental Jurisdiction schema, links to type Governmental Body
6. Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema
7. Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
8. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
9. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
10. Government positions (fb:government.governmental_jurisdiction.government_positions): links to type Government Office or Title, part of Governmental Jurisdiction schema

No other items found

[Assistant] The property "Official Language" (fb:location.country.official_language) is the relevant property to check the official language of the country Portugal. I will now refine the SPARQL query to explicitly check that the official language of the country is Portuguese and that José Manuel Barroso held a governmental position in that country.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query did not return any results, indicating it failed to find the country where Portuguese is spoken and where José Manuel Barroso held a governmental position. The query structure is generally correct, but the issue might be with the labels or the way the language and person are identified. For example, the label for José Manuel Barroso might not be exactly "José Manuel Barroso"@en in the dataset, or the language label "Portuguese"@en might not match. Also, the property fb:location.country.official_language might not be the correct property or might require a different approach to link the country and its official languages. I suggest verifying the exact labels and properties used in the knowledge graph for the person, language, and country. Additionally, consider using entity IDs if known, or a more flexible label matching approach. The query should also ensure it returns the country identifier as required. Please revise the query accordingly and retry.

[Assistant]
Thank you for the feedback. I will verify the exact label of José Manuel Barroso and the label of the Portuguese language entity in the knowledge graph. I will also verify the property linking Portugal to its official language. Then I will revise the query to use entity IDs and more flexible label matching to ensure it returns the correct country identifier.

First, I will check the label of the Portuguese language entity by searching for the entity "Portuguese language" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Portuguese Language, also known as Portugese, Português, Portuguese, Portuguese language (fb:m.05zjd): Portuguese is a Romance language and the sole official language ... and is an official language of the European Union and Mercosul., has type Human Language
2. Portuguese language (fb:m.0bpqflx)
3. Portuguese Sign Language, also known as Lingua Gestual Portuguesa (fb:m.02hxpqb): Portuguese Sign language is a sign language used mainly by Deaf ...tugal. It is recognized in the present Constitution of Portugal., has type Human Language
4. The Portuguese language (fb:m.0c65mf4): has type Book Edition
5. Portuguese language--Etymology (fb:m.0bpdj4t)
6. The Portuguese language (fb:m.0c42wvk): has type Book
7. Portuguese Sign Language (fb:m.0bp1lc6)
8. Portuguese language--Written Portuguese (fb:m.0bpx3k_)
9. Portuguese language--Dictionaries (fb:m.0bqcds8)
10. Portuguese language--Business Portuguese (fb:m.0bq6hmj)

[Assistant] The Portuguese language entity in Freebase is fb:m.05zjd. Now, I will verify the label of José Manuel Barroso entity again to confirm the exact label used.

[Tool]
Got 39 rows and 3 columns, showing the first 10 rows below:
| subject                           | property   | object                   |
| --------------------------------- | ---------- | ------------------------ |
| José Manuel Barroso (fb:m.01zps5) | rdfs:label | José Manuel Barroso (da) |
| José Manuel Barroso (fb:m.01zps5) | rdfs:label | José Manuel Barroso (de) |
| José Manuel Barroso (fb:m.01zps5) | rdfs:label | José Manuel Barroso (en) |
| José Manuel Barroso (fb:m.01zps5) | rdfs:label | José Manuel Barroso (fi) |
| José Manuel Barroso (fb:m.01zps5) | rdfs:label | José Manuel Barroso (hu) |
| José Manuel Barroso (fb:m.01zps5) | rdfs:label | José Manuel Barroso (id) |
| José Manuel Barroso (fb:m.01zps5) | rdfs:label | José Manuel Barroso (lt) |
| José Manuel Barroso (fb:m.01zps5) | rdfs:label | José Manuel Barroso (ms) |
| José Manuel Barroso (fb:m.01zps5) | rdfs:label | José Manuel Barroso (nl) |
| José Manuel Barroso (fb:m.01zps5) | rdfs:label | José Manuel Barroso (ro) |
| ...                               | ...        | ...                      |

[Assistant] The label for José Manuel Barroso in English is "José Manuel Barroso"@en. This matches the label I used in the previous query. Now, I will check the official language property for Portugal (fb:m.05r4w) to see its values and confirm the property and object used for Portuguese language.

[Tool]
Got 1 row and 3 columns:
| subject               | property                                                  | object                           |
| --------------------- | --------------------------------------------------------- | -------------------------------- |
| Portugal (fb:m.05r4w) | Official Language (fb:location.country.official_language) | Portuguese Language (fb:m.05zjd) |

[Assistant] The property fb:location.country.official_language links Portugal (fb:m.05r4w) to the Portuguese Language (fb:m.05zjd). I will now revise the SPARQL query to use these entity IDs directly for the country and language, and use the label for José Manuel Barroso to find the person entity. This should ensure the query returns the correct country where Portuguese is spoken and where José Manuel Barroso held a governmental position.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?person ?personLabel ?profession ?professionLabel WHERE {
  fb:m.053myr fb:location.location.people_born_here ?person .
  OPTIONAL {
    ?person rdfs:label ?personLabel .
    FILTER ( LANG( ?personLabel ) = "en" )
  }
  .
  ?person fb:people.person.profession ?profession .
  OPTIONAL {
    ?profession rdfs:label ?professionLabel .
    FILTER ( LANG( ?professionLabel ) = "en" )
  }
}
LIMIT 1

The person who lived in Marin City, Brett Wallace, once was a baseball player.

[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 did the person who lived in Marin City once do?

[Assistant]
The user question is: "What did the person who lived in Marin City once do?"

Step 1: Identify key entities and properties:
- Entity: Marin City (a place)
- Property: "person who lived in Marin City" (residence or place of living)
- Property: "once do" (occupation, job, or activity done by the person)

Step 2: Search for the entity "Marin City" in the knowledge graph to get its identifier.

I will start by searching for the entity "Marin City" in the freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Marin City, also known as Marin City, California (fb:m.053myr): Marin City, is an unincorporated community and census-designated...found celebrity in the 1990s as the home of rapper Tupac Shakur., has type City/Town/Village
2. Marin City (fb:m.015wh16): has type Musical Recording
3. Marin City (fb:m.0lmk749)
4. Marine City, also known as Marine City, Michigan, St. Clair County / Marine City city (fb:m.0vqbb): Marine City is a city in St. Clair County in the U.S. state of M... auto ferry service to Sombra, Ontario, Canada across the river., has type City/Town/Village
5. Marina City (fb:m.06q00_): Marina City is a mixed-use residential/commercial building compl...ilding in the United States to be constructed with tower cranes., has type Building complex
6. Marinig, Cabuyao, also known as Barangay Marinig, Cabuyao, Laguna, Marinig, Cabuyao City (fb:m.0ds0srp): Barangay Marinig is one of the eighteen urbanized barangays comp... second largest barangay in Cabuyao when it comes to population., has type Location
7. Marina City Park (fb:m.0b5gvn): Marina City Park is a park in Singapore, located at Marina South...tury", as part of Singapore's vision to be a "City in a Garden"., has type Location
8. Marina City 2, also known as Marina City West (fb:m.02bdrfr): has type Skyscraper
9. Marina City 1, also known as Marina City East (fb:m.02bdsqm): has type Skyscraper
10. Rock City Marine (fb:m.0bhbxby): Rock City Marine is a manufacturer of marine electronics, specif...ned and requires no wiring to external sensors or power sources., has type Organization

[Assistant]
I found the entity "Marin City, California" with the identifier fb:m.053myr which is a city/town/village. This is likely the correct entity for Marin City.

Step 3: Now I need to find a person who lived in Marin City. I will search for people associated with the place Marin City (fb:m.053myr) by looking for properties related to residence or place of living.

I will search for properties of the entity Marin City that might relate to people living there.

[Tool]
Top 10 property alternatives:
1. People born here (fb:location.location.people_born_here): part of Location schema, links to type Person
2. Population (fb:location.statistical_region.population): part of Statistical region schema, links to type Dated Integer
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Image (fb:common.topic.image): part of Topic schema, links to type Image
8. Article (fb:common.topic.article): links to type Document, part of Topic schema
9. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
10. Description (fb:common.topic.description): part of Topic schema, links to type Text

No other items found

[Assistant]
There is a property "People born here" (fb:location.location.people_born_here) for the entity Marin City (fb:m.053myr) which links to persons born in Marin City. This can be used to find people associated with Marin City.

Step 4: I will now find a person born in Marin City using this property. Then I will search for what this person once did (occupation or activity).

I will write a query to get a person born in Marin City.

[Tool]
Got 1 row and 2 columns:
| person                       | personLabel        |
| ---------------------------- | ------------------ |
| Brett Wallace (fb:m.04jbtd9) | Brett Wallace (en) |

[Assistant]
I found a person born in Marin City: Brett Wallace (fb:m.04jbtd9).

Step 5: Now I will search for what Brett Wallace once did. I will look for properties related to occupation, job, or activity for Brett Wallace.

[Tool]
Top 10 property alternatives:
1. Profession (fb:people.person.profession): links to type Profession, part of Person schema
2. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
3. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
4. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
5. Position(s) (fb:baseball.baseball_player.position_s): links to type Baseball Position, part of Baseball Player schema
6. Salary (fb:base.schemastaging.athlete_extra.salary): part of Athlete extra schema, links to type Athlete salary
7. Gender (fb:people.person.gender): part of Person schema, links to type Gender
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Name (fb:type.object.name): part of Object schema, links to type Text
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Assistant]
The property "Profession" (fb:people.person.profession) is available for Brett Wallace (fb:m.04jbtd9) which indicates what he did.

Step 6: I will now query the profession of Brett Wallace.

[Tool]
Got 1 row and 2 columns:
| profession                     | professionLabel      |
| ------------------------------ | -------------------- |
| Baseball player (fb:m.02h664g) | Baseball player (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves a person who lived in Marin City along with their profession. The answer identifies Brett Wallace as the person and states that he was a baseball player, which matches the query result. The query uses appropriate properties and returns the relevant identifiers and labels. The answer is clear, accurate, and complete based on the query results. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?founder ?founderLabel WHERE {
  fb:m.0bwfn fb:organization.organization.founders ?founder .
  OPTIONAL {
    ?founder rdfs:label ?founderLabel
  }
}

Got 23 rows and 2 columns, showing the first 5 and last 5 rows below:
| founder                            | founderLabel                 |
| ---------------------------------- | ---------------------------- |
| Albert Gallatin (fb:m.01p369)      | Albert Gallatin (de)         |
| Albert Gallatin (fb:m.01p369)      | Albert Gallatin (en)         |
| Albert Gallatin (fb:m.01p369)      | Albert Gallatin (es)         |
| Albert Gallatin (fb:m.01p369)      | Albert Gallatin (fr)         |
| Albert Gallatin (fb:m.01p369)      | Albert Gallatin (hu)         |
| ...                                | ...                          |
| Mordecai Manuel Noah (fb:m.05m665) | Mordecai Manuel Noah (it)    |
| Mordecai Manuel Noah (fb:m.05m665) | Mordecaï Manuel Noah (fr)    |
| Mordecai Manuel Noah (fb:m.05m665) | Mordecai M. Noah (es)        |
| Mordecai Manuel Noah (fb:m.05m665) | Mordechai Immanuel Noah (de) |
| Mordecai Manuel Noah (fb:m.05m665) | מרדכי מנואל נח (iw)          |

The founders of the college where Lindsay Zir is a grad student (New York University) are Albert Gallatin and Mordecai Manuel Noah.

[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 founded the college where Lindsay Zir is a grad student?

[Assistant]
To answer the question "Who founded the college where Lindsay Zir is a grad student?", I need to follow these steps:

1. Identify the entity for "Lindsay Zir" in the knowledge graph.
2. Find the college or university where Lindsay Zir is a graduate student.
3. Identify the founder(s) of that college or university.

I will start by searching for the entity "Lindsay Zir" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Lindsay Zir, also known as Lindsay Amanda Zir, Pin (fb:m.0frrz3): Lindsay Zir is an actress and costume designer., has type Film costumer designer
2. Lindsay Zir LF (fb:m.03t5xbb)
3. Lindsay, also known as Lindsay, California, Tulare County / Lindsay city (fb:m.0r7wp): Lindsay is a city in Tulare County, California, United States. T...d the Porterville Urban Area by the United States Census Bureau., has type City/Town/Village
4. Lindsay, also known as Garvin County / Lindsay city, Lindsay, Oklahoma (fb:m.0z5zg): Lindsay is a city in Garvin County, Oklahoma, United States. The population was 2,889 at the 2000 census., has type City/Town/Village
5. Margaret Lindsay, also known as Lindsay, Peg, Margaret Kies (fb:m.080bms): Margaret Lindsay was an American film actress. Her time as a War...The House of the Seven Gables as Lindsay's standout career role., has type Film actor
6. Lindsay, also known as Cooke County / Lindsay town, Lindsay, Cooke County, Texas, Lindsay, Texas (fb:m.0__ml): Lindsay is a city in Cooke County, Texas, United States, along U... from 788 at the 2000 census. It was estimated at 1,060 in 2014., has type City/Town/Village
7. Lindsay, also known as Lindsay, Nebraska, Platte County / Lindsay village (fb:m.0x8wt): Lindsay is a village in Platte County, Nebraska, United States. The population was 255 at the 2010 census., has type City/Town/Village
8. Lindsay, also known as Lindsay, Canada, Lindsay, Ontario (fb:m.018glj): Lindsay is a community of 20,354 people on the Scugog River in t...every two years students are chosen to travel to Japan for free., has type City/Town/Village
9. Lindsay (fb:m.01wh511): has type Musical Artist
10. Lindsay, also known as Lindsay, Reeves County, Texas, Lindsay, Texas, Reeves County / Lindsay CDP (fb:m.010815): Lindsay is a census-designated place in Reeves County, Texas, United States. The population was 394 at the 2000 census., has type US Census Designated Place

[Assistant] I found an entity for Lindsay Zir (fb:m.0frrz3) who is an actress and costume designer. However, there is no direct indication that this Lindsay Zir is a graduate student. I will proceed with this entity to check if there is any information about the college where she is a graduate student. I will search for properties of this entity related to education or college.

[Tool]
Top 10 property alternatives:
1. Education (fb:people.person.education): links to type Education, part of Person schema
2. Article (fb:common.topic.article): links to type Document, part of Topic schema
3. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
4. Profession (fb:people.person.profession): links to type Profession, part of Person schema
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Web Link(s) (fb:common.topic.webpage): links to type Webpage, part of Topic schema
7. Gender (fb:people.person.gender): part of Person schema, links to type Gender
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

No other items found

[Assistant] The entity Lindsay Zir (fb:m.0frrz3) has a property "Education" (fb:people.person.education) which might link to the college or university she attended or is attending. I will query the value of this property for Lindsay Zir to find the college where she is a graduate student.

[Tool]
Got 1 row and 3 columns:
| subject                   | property                               | object       |
| ------------------------- | -------------------------------------- | ------------ |
| Lindsay Zir (fb:m.0frrz3) | Education (fb:people.person.education) | fb:m.0_kzcwh |

[Assistant] Lindsay Zir is linked to an education entity fb:m.0_kzcwh. I will now check what this education entity represents, likely the college or university where she is a graduate student. I will look for the label or type of this education entity.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                             |
| ------------ | ------------------------------------------------ | ---------------------------------- |
| fb:m.0_kzcwh | Type (fb:type.object.type)                       | Education (fb:education.education) |
| fb:m.0_kzcwh | Institution (fb:education.education.institution) | New York University (fb:m.0bwfn)   |
| fb:m.0_kzcwh | Student (fb:education.education.student)         | Lindsay Zir (fb:m.0frrz3)          |
| fb:m.0_kzcwh | rdf:type                                         | Education (fb:education.education) |

[Assistant] The education entity fb:m.0_kzcwh corresponds to an education record at the institution New York University (fb:m.0bwfn) for the student Lindsay Zir. So Lindsay Zir is a grad student at New York University. Next, I will find the founder(s) of New York University. I will search for properties of New York University related to "founder" or "founders".

[Tool]
Top 10 property alternatives:
1. Founders (fb:organization.organization.founders): links to type Organization founder, part of Organization schema
2. Date founded (fb:organization.organization.date_founded): part of Organization schema, links to type Date/Time
3. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Leadership (fb:organization.organization.leadership): links to type Organization leadership, part of Organization schema
6. Board members (fb:organization.organization.board_members): links to type Organization governorship, part of Organization schema
7. Registered with (fb:organization.non_profit_organization.registered_with): links to type Non-profit registration, part of Nonprofit organization schema
8. Endowment (fb:organization.endowed_organization.endowment): part of Endowed Organization schema, links to type Dated Money Value
9. Headquarters (fb:organization.organization.headquarters): part of Organization schema, links to type Address
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] The property "Founders" (fb:organization.organization.founders) is available for New York University. I will query the founders of New York University using this property.

[Tool]
Got 2 rows and 3 columns:
| subject                          | property                                         | object                             |
| -------------------------------- | ------------------------------------------------ | ---------------------------------- |
| New York University (fb:m.0bwfn) | Founders (fb:organization.organization.founders) | Albert Gallatin (fb:m.01p369)      |
| New York University (fb:m.0bwfn) | Founders (fb:organization.organization.founders) | Mordecai Manuel Noah (fb:m.05m665) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the founders of New York University, which is the college where Lindsay Zir is a grad student. The query uses the appropriate entity and property, and the execution result shows the expected founders Albert Gallatin and Mordecai Manuel Noah. The answer is accurate and complete based on the data retrieved from the knowledge graph.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?movie WHERE {
  ?movie fb:film.actor.film fb:m.057yk8 .
  ?movie fb:film.cinematographer.film fb:m.02pndc0 .
}

There is no movie in the knowledge graph where Charlie Hunnam acted and John Mathieson was the cinematographer.

[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 movie starring Charlie Hunnam that had John Mathieson as the cinematographer?

[Assistant]
To answer this question, I need to find a movie that has both Charlie Hunnam as an actor and John Mathieson as the cinematographer.

Step 1: Search for the entity representing Charlie Hunnam in the knowledge graph.
Step 2: Search for the entity representing John Mathieson in the knowledge graph.
Step 3: Find movies where Charlie Hunnam is an actor.
Step 4: Find movies where John Mathieson is the cinematographer.
Step 5: Find the intersection of these movies.

I will start with step 1 and step 2 by searching for the entities Charlie Hunnam and John Mathieson.

[Tool]
Top 10 entity alternatives:
1. Charlie Hunnam, also known as Charles Matthew Hunnam, Charlie Matthew Hunnam, Charlie (fb:m.057yk8): Charles Matthew "Charlie" Hunnam is an English actor and screenw... Pete Dunham in Green Street, and Raleigh Becket in Pacific Rim., has type Film actor
2. Charlie Hunnam by Gage Skidmore (fb:m.0cmrbyb)
3. Jane Lynch, Serena Ryder, also known as Jane Lynch, Charlie Hunnam, Serena Ryder (fb:m.0w4g3jg): has type TV Episode
4. Charlie Hunnam by Gage Skidmore 2 (fb:m.0h46sfj)
5. Charlie Chaplin, also known as Sir Charles Chaplin, Sir Charles Chaplin, KBE, Sir Charles Spencer Chaplin, Sir Charles Spencer Chaplin, KBE, Sir Charles Spencer "Charlie" Chaplin (fb:m.01lc5): Sir Charles Spencer "Charlie" Chaplin, KBE was a British comic a...e moved to the Essanay, Mutual, and First National corporations., has type Film director
6. Anthony Hopkins, also known as Charlie, Tony, Sir Philip Anthony Hopkins, CBE, Sir Philip Anthony Hopkins, Sir Anthony Hopkins (fb:m.0z4s): Sir Philip Anthony Hopkins, CBE is a Welsh actor of film, stage,...ins was knighted by Queen Elizabeth II for services to the arts., has type Celebrity
7. Charles M. Schulz, also known as Charlie, Sparky, C. M. Schulz, Charles Schulz, Charles Schultz (fb:m.0blgl): Charles Monroe Schulz, nicknamed Sparky, was an American cartoon...ide trail that most every cartoonist since has tried to follow.", has type Comic Strip Creator
8. Charlton Heston, also known as John Charles Carter, Chuck, Charlton Easton, Charlie, Captured Slave Charlton Heston (fb:m.0chsq): Charlton Heston was an American actor and political activist. As... in 2003. Heston died on April 5, 2008, aged 84, from pneumonia., has type Film actor
9. Charlize Theron, also known as Charlie (fb:m.01l9p): Charlize Theron is a South African and American actress, produce...tive producer. In 2014, she produced and starred in Dark Places., has type Celebrity
10. Charles Manson, also known as Charlie Manson, no name Maddox, Manson, Charles Milles, Manson, Charles, Mac (fb:m.0bq63): Charles Milles Manson is an American criminal who led what becam...' song. He believed the murders would help precipitate that war., has type Composer

[Assistant]
I found the entity for Charlie Hunnam: fb:m.057yk8 (Charles Matthew "Charlie" Hunnam, English actor).

Next, I will search for the entity representing John Mathieson.

[Tool]
Top 10 entity alternatives:
1. John Mathieson (fb:m.02pndc0): John Mathieson, BSC is a British cinematographer. He is one of a...s did much to shape the evolution of contemporary feature films., has type Film cinematographer
2. John Mathieson (fb:m.0v39tsn): John Mathieson FRSE FRSGS was a Scottish surveyor, cartographer,...ciety and the Murchison Grant by the Royal Geographical Society., has type Organization member
3. John Mathieson (fb:m.0fxmr): John Mathieson is a Computer Science graduate who initially work... team for three generations of the Tegra applications processor., has type Organization founder
4. John Mathieson (fb:m.0hpkqjr): has type Person
5. John Alexander Mathieson (fb:m.02v3_v): John Alexander Mathieson was a Prince Edward Island politician a...hich Prince Edward Island joined Canadian confederation in 1873., has type Politician
6. Dock Mathieson, also known as John Davie Mathieson (fb:m.0mwfhwb): Dock Mathieson was a conductor., has type Deceased Person
7. John George Mathieson (fb:m.0mwfdlx): John George Mathieson was an artist., has type Person
8. John Mathieson vs John Mathieson (fb:m.090lndb)
9. Elton John, also known as The Rocket Man, Sir Elton John CBE, Sir Elton John, Sir Elton Hercules John CBE, Sir Elton Hercules John (fb:m.01vrz41): Sir Elton Hercules John CBE is an English songwriter and singer,...o play piano at an early age, and by 1962 had formed Bluesology., has type Celebrity
10. John Lennon, also known as The Beatles, John, Plastic Ono Band, Lennon, John Winston Ono Lennon MBE (fb:m.01vsl3_): John Winston Ono Lennon MBE was an English singer and songwriter... wit in his music, writing, drawings, on film and in interviews., has type Musical Artist

[Assistant]
I found the entity for John Mathieson as a film cinematographer: fb:m.02pndc0.

Next, I will find movies where Charlie Hunnam (fb:m.057yk8) is an actor.

[Tool]
Got 12 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                               | object        |
| ---------------------------- | -------------------------------------- | ------------- |
| Charlie Hunnam (fb:m.057yk8) | Film performances (fb:film.actor.film) | fb:m.0113ygm8 |
| Charlie Hunnam (fb:m.057yk8) | Film performances (fb:film.actor.film) | fb:m.0134tj88 |
| Charlie Hunnam (fb:m.057yk8) | Film performances (fb:film.actor.film) | fb:m.03jrm7w  |
| Charlie Hunnam (fb:m.057yk8) | Film performances (fb:film.actor.film) | fb:m.03js8v1  |
| Charlie Hunnam (fb:m.057yk8) | Film performances (fb:film.actor.film) | fb:m.040jwv4  |
| Charlie Hunnam (fb:m.057yk8) | Film performances (fb:film.actor.film) | fb:m.046168c  |
| Charlie Hunnam (fb:m.057yk8) | Film performances (fb:film.actor.film) | fb:m.0gx5yc7  |
| Charlie Hunnam (fb:m.057yk8) | Film performances (fb:film.actor.film) | fb:m.0gxp6xq  |
| Charlie Hunnam (fb:m.057yk8) | Film performances (fb:film.actor.film) | fb:m.0h0yd7r  |
| Charlie Hunnam (fb:m.057yk8) | Film performances (fb:film.actor.film) | fb:m.0h0ydlf  |
| ...                          | ...                                    | ...           |

[Assistant] I found 12 movies where Charlie Hunnam acted. Now I will find movies where John Mathieson (fb:m.02pndc0) was the cinematographer. I need to find the property that relates John Mathieson to movies as a cinematographer. I will search for properties of John Mathieson related to cinematography or film.

[Tool]
Top 10 property alternatives:
1. Film cinematography credits (fb:film.cinematographer.film): part of Film cinematographer schema, links to type Film
2. Films crewed (fb:film.film_crewmember.films_crewed): part of Film crewmember schema, links to type Film crew gig
3. Profession (fb:people.person.profession): links to type Profession, part of Person schema
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
6. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
7. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
8. Award Nominations (fb:award.award_nominee.award_nominations): links to type Award Nomination, part of Award Nominee schema
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Assistant]
The property "Film cinematography credits" (fb:film.cinematographer.film) links John Mathieson to films he worked on as a cinematographer.

Now I will find the movies where John Mathieson was the cinematographer using this property.

[Tool]
Got 27 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                                                   | object                                 |
| ----------------------------- | ---------------------------------------------------------- | -------------------------------------- |
| John Mathieson (fb:m.02pndc0) | Film cinematography credits (fb:film.cinematographer.film) | Gladiator (fb:m.09q5w2)                |
| John Mathieson (fb:m.02pndc0) | Film cinematography credits (fb:film.cinematographer.film) | X-Men: First Class (fb:m.0cd2vh9)      |
| John Mathieson (fb:m.02pndc0) | Film cinematography credits (fb:film.cinematographer.film) | Robin Hood (fb:m.05q96q6)              |
| John Mathieson (fb:m.02pndc0) | Film cinematography credits (fb:film.cinematographer.film) | Kingdom of Heaven (fb:m.01_0f7)        |
| John Mathieson (fb:m.02pndc0) | Film cinematography credits (fb:film.cinematographer.film) | Hannibal (fb:m.02xs6_)                 |
| John Mathieson (fb:m.02pndc0) | Film cinematography credits (fb:film.cinematographer.film) | The Phantom of the Opera (fb:m.01sxdy) |
| John Mathieson (fb:m.02pndc0) | Film cinematography credits (fb:film.cinematographer.film) | August Rush (fb:m.06y79v)              |
| John Mathieson (fb:m.02pndc0) | Film cinematography credits (fb:film.cinematographer.film) | K-PAX (fb:m.0b2tb1)                    |
| John Mathieson (fb:m.02pndc0) | Film cinematography credits (fb:film.cinematographer.film) | Matchstick Men (fb:m.0bys_y)           |
| John Mathieson (fb:m.02pndc0) | Film cinematography credits (fb:film.cinematographer.film) | 47 Ronin (fb:m.0fp_dsj)                |
| ...                           | ...                                                        | ...                                    |

[Assistant]
I found 27 movies where John Mathieson was the cinematographer. Now I will find the intersection of movies where Charlie Hunnam acted and John Mathieson was the cinematographer.

I will write a SPARQL query to find movies where Charlie Hunnam acted and John Mathieson was the cinematographer.

[Tool] Got no rows and 2 columns

[Assistant]
There are no movies where Charlie Hunnam acted and John Mathieson was the cinematographer according to the current data.

I will double-check by listing the movies for Charlie Hunnam and see if any match the movies for John Mathieson. I will retrieve the movie labels for Charlie Hunnam's movies to better understand the titles.

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| movie         | movieLabel |
| ------------- | ---------- |
| fb:m.0113ygm8 |            |
| fb:m.0134tj88 |            |
| fb:m.03jrm7w  |            |
| fb:m.03js8v1  |            |
| fb:m.040jwv4  |            |
| ...           | ...        |
| fb:m.0gxp6xq  |            |
| fb:m.0h0yd7r  |            |
| fb:m.0h0ydlf  |            |
| fb:m.0jwksr   |            |
| fb:m.0jy_sj   |            |

[Assistant]
The movies where Charlie Hunnam acted do not have labels in the data, so I cannot identify them by name here.

Since the direct intersection query returned no results, it suggests there is no movie in the knowledge graph where Charlie Hunnam acted and John Mathieson was the cinematographer.

I will finalize the answer accordingly.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified that there is no movie in the Freebase knowledge graph where Charlie Hunnam acted and John Mathieson was the cinematographer. The SPARQL query is well-formed, using the correct properties and entities, and the empty result is a valid answer to the question. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?location ?locationLabel WHERE {
  fb:m.0dz9by fb:film.film.featured_film_locations ?location .
  OPTIONAL {
    ?location rdfs:label ?locationLabel
  }
}

Got 43 rows and 2 columns, showing the first 5 and last 5 rows below:
| location             | locationLabel |
| -------------------- | ------------- |
| Toronto (fb:m.0h7h6) | Torontas (lt) |
| Toronto (fb:m.0h7h6) | Toronto (ca)  |
| Toronto (fb:m.0h7h6) | Toronto (cs)  |
| Toronto (fb:m.0h7h6) | Toronto (da)  |
| Toronto (fb:m.0h7h6) | Toronto (de)  |
| ...                  | ...           |
| Toronto (fb:m.0h7h6) | โทรอนโต (th)  |
| Toronto (fb:m.0h7h6) | 토론토 (ko)      |
| Toronto (fb:m.0h7h6) | トロント (ja)     |
| Toronto (fb:m.0h7h6) | 多伦多 (zh)      |
| Toronto (fb:m.0h7h6) | 多倫多 (zh-Hant) |

The movie 'Shoot 'Em Up' was filmed in Toronto.

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

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

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

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

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

[User] Where was the movie "Shoot 'Em Up" filmed?

[Assistant] To answer the question "Where was the movie 'Shoot 'Em Up' filmed?", I will first search for the entity corresponding to the movie "Shoot 'Em Up" in the Freebase knowledge graph. Then, I will look for properties related to filming locations or places where the movie was filmed.

[Tool]
Top 10 entity alternatives:
1. Shoot 'em up, also known as Shootem-Up (fb:m.01ljm6): Shoot 'em up is a subgenre of the shooter genre of video games. ...Shoot 'em ups were popular throughout the 1980s and early 1990s., has type Media genre
2. Shoot 'Em Up (fb:m.0dz9by): Shoot 'Em Up is a 2007 action/black comedy film, starring Clive ...Up underperformed at the box office, but has become a cult film., has type Film
3. Shoot 'em Up (fb:m.03j7qv5): has type Consumer product
4. Shoot 'em Up (fb:m.0l_gb6): has type Canonical Version
5. Shoot 'em Up, also known as Shoot Em'up (fb:m.0rbrzc): has type Musical Recording
6. Shoot 'Em Up, also known as Shoot Em Up (fb:m.0pt5fw): has type Musical Recording
7. Shoot 'em Up, also known as Shoot 'em Up Soundtrack (fb:m.03jh7fx): has type Musical Album
8. Shoot 'em Up (fb:m.0ndk5c): has type Musical Recording
9. Shoot em Up (fb:m.0q5pcmd): has type Musical Recording
10. Shoot 'Em Up (fb:m.013cvxy9): has type Musical Recording

[Assistant] The movie "Shoot 'Em Up" corresponds to the entity fb:m.0dz9by in Freebase. Next, I will search for properties related to filming locations or places where this movie was filmed. I will search for properties of the entity fb:m.0dz9by with a query related to filming location.

[Tool]
Top 10 property alternatives:
1. Notable filming locations (fb:film.film.featured_film_locations): links to type Filming location, part of Film schema
2. Cinematography (fb:film.film.cinematography): links to type Film cinematographer, part of Film schema
3. Production companies (fb:film.film.production_companies): links to type Production company, part of Film schema
4. Produced by (fb:film.film.produced_by): links to type Film producer, part of Film schema
5. Directed by (fb:film.film.directed_by): links to type Film director, part of Film schema
6. Screenplay by (fb:film.film.written_by): links to type Film writer, part of Film schema
7. Country of origin (fb:film.film.country): links to type Country, part of Film schema
8. Production design by (fb:film.film.film_production_design_by): links to type Film production designer, part of Film schema
9. Executive produced by (fb:film.film.executive_produced_by): links to type Film producer, part of Film schema
10. Casting director (fb:film.film.film_casting_director): links to type Film casting director, part of Film schema

No other items found

[Assistant] The property "Notable filming locations" (fb:film.film.featured_film_locations) seems to be the most relevant to answer the question about where the movie "Shoot 'Em Up" was filmed. I will now query the filming locations for the movie entity fb:m.0dz9by using this property.

[Tool]
Got 43 rows and 2 columns, showing the first 5 and last 5 rows below:
| location             | locationLabel |
| -------------------- | ------------- |
| Toronto (fb:m.0h7h6) | Torontas (lt) |
| Toronto (fb:m.0h7h6) | Toronto (ca)  |
| Toronto (fb:m.0h7h6) | Toronto (cs)  |
| Toronto (fb:m.0h7h6) | Toronto (da)  |
| Toronto (fb:m.0h7h6) | Toronto (de)  |
| ...                  | ...           |
| Toronto (fb:m.0h7h6) | โทรอนโต (th)  |
| Toronto (fb:m.0h7h6) | 토론토 (ko)      |
| Toronto (fb:m.0h7h6) | トロント (ja)     |
| Toronto (fb:m.0h7h6) | 多伦多 (zh)      |
| Toronto (fb:m.0h7h6) | 多倫多 (zh-Hant) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the filming locations of the movie 'Shoot 'Em Up' from the Freebase knowledge graph. The query returns the location identifiers and their labels in multiple languages, which is appropriate. The answer given, that the movie was filmed in Toronto, is supported by the query results. The query and answer are correct and complete for the user's question.


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?event ?eventName WHERE {
  fb:m.0md6f fb:location.location.events ?event .
  ?event fb:type.object.name ?eventName .
  ?event fb:military.military_conflict.casualties ?casualty .
  ?casualty fb:military.casualties.lower_estimate ?estimate .
  FILTER ( xsd:integer ( ?estimate ) > 30000 )
}
LIMIT 1

The event causing more than 30,000 estimated casualties that happened in Dunkirk during World War II is the Battle of Dunkirk.

[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 event causing more than 30000 estimated casualties happened in Dunkirk during WW2?

[Assistant]
To answer the question, I need to identify the event that happened in Dunkirk during World War II which caused more than 30,000 estimated casualties.

Step 1: Search for the entity "Dunkirk" in the knowledge graph.
Step 2: Search for events related to Dunkirk during World War II.
Step 3: Filter events based on estimated casualties greater than 30,000.
Step 4: Retrieve the name and details of the event.

I will start by searching for the entity "Dunkirk" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Dunkirk, also known as Dunkerque, Dunkirk, France (fb:m.0md6f): Dunkirk is a commune in the Nord department in northern France. ...opulation of the city at the 2012 census was 90,995 inhabitants., has type City/Town/Village
2. Dunkirk, also known as Dunkirk, New York, Dunkirk, NY (fb:m.01mb4t): Dunkirk is a city in Chautauqua County, New York, in the United ... west. Dunkirk is the westernmost city in the state of New York., has type City/Town/Village
3. Dunkirk, also known as Dunkirk, Ohio, Hardin County / Dunkirk village (fb:m.0yycr): Dunkirk is a village in Hardin County, Ohio, United States. The population was 875 at the 2010 census., has type City/Town/Village
4. Dunkirk, also known as Dunkirk, Indiana (fb:m.0sk4w): Dunkirk is a city in Blackford and Jay counties in the U.S. state of Indiana. The population was 2,362 at the 2010 census., has type City/Town/Village
5. Dunkirk, also known as Dunkirk South, Maryland, Dunkirk South, Dunkirk, Maryland, Calvert County / Dunkirk CDP (fb:m.0ttzr): Dunkirk is a census-designated place in Calvert County, Maryland, United States. The population was 2,520 at the 2010 census., has type US Census Designated Place
6. Dunkirk, also known as Dunkirk, Wisconsin (fb:m.0110y6): Dunkirk is a town in Dane County, Wisconsin, United States. The ...d communities of Dunkirk and Hanerville are located in the town., has type City/Town/Village
7. Dunkirk (fb:m.04d_vlx): Dunkirk is a 2004 BBC television docudrama about the Battle of Dunkirk and the Dunkirk evacuation in World War II., has type Award-Winning Work
8. Dunkirk, also known as Chautauqua County / Dunkirk city, Dunkirk, New York (fb:m.01mb4g): Dunkirk is a town in Chautauqua County, New York, United States....st and west, by the city of Dunkirk, which is a separate entity., has type City/Town/Village
9. Dunkirk (fb:m.04jry4): Dunkirk is a 1958 British war film directed by Leslie Norman and...k-Up and Lt. Col. Ewan Hunter and Maj. J. S. Bradford's Dunkirk., has type Film
10. Dunkirk, also known as Dunkirk, Kent (fb:m.058hhl): Dunkirk is a village and civil parish between Faversham and Cant...the Canterbury Road between Boughton under Blean and Harbledown., has type City/Town/Village

[Assistant] The most relevant entity for "Dunkirk" in the context of World War II is the city in northern France (fb:m.0md6f). Next, I will search for events related to Dunkirk (fb:m.0md6f) during World War II. I will start by searching for events related to Dunkirk.

[Tool]
Top 10 property alternatives:
1. Events (fb:location.location.events): part of Location schema, links to type Event
2. Article (fb:common.topic.article): links to type Document, part of Topic schema
3. Key (fb:type.object.key): part of Object schema, links to type Key
4. Description (fb:common.topic.description): part of Topic schema, links to type Text
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Image (fb:common.topic.image): part of Topic schema, links to type Image
7. Contains (fb:location.location.contains): part of Location schema, links to type Location
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Contained by (fb:location.location.containedby): part of Location schema, links to type Location

No other items found

[Assistant] The property "Events" (fb:location.location.events) is used to link Dunkirk to events. I will now query for events linked to Dunkirk (fb:m.0md6f) using this property.

[Tool]
Got 7 rows and 3 columns:
| subject              | property                             | object                                    |
| -------------------- | ------------------------------------ | ----------------------------------------- |
| Dunkirk (fb:m.0md6f) | Events (fb:location.location.events) | Battle of Dunkirk (fb:m.0jpb7)            |
| Dunkirk (fb:m.0md6f) | Events (fb:location.location.events) | Dunkirk evacuation (fb:m.01lmvf)          |
| Dunkirk (fb:m.0md6f) | Events (fb:location.location.events) | Battle of the Dunes (fb:m.014mww)         |
| Dunkirk (fb:m.0md6f) | Events (fb:location.location.events) | Action of 18 February 1639 (fb:m.0ddc_np) |
| Dunkirk (fb:m.0md6f) | Events (fb:location.location.events) | Siege of Dunkirk (fb:m.03hm2pk)           |
| Dunkirk (fb:m.0md6f) | Events (fb:location.location.events) | Siege of Dunkirk (fb:m.05f3m74)           |
| Dunkirk (fb:m.0md6f) | Events (fb:location.location.events) | Raid on Dunkirk (fb:m.076y47n)            |

[Assistant] There are two events related to Dunkirk during World War II that stand out: "Battle of Dunkirk" (fb:m.0jpb7) and "Dunkirk evacuation" (fb:m.01lmvf). I will now check the estimated casualties for these two events to find which one caused more than 30,000 estimated casualties. I will start with the "Battle of Dunkirk".

[Tool]
Got 580 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                                            | object                                                                   |
| ------------------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Battle of Dunkirk (fb:m.0jpb7) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Battle of Dunkirk (fb:m.0jpb7) | Key (fb:type.object.key)                                            | /authority/daylife/topic/0cqL6FAaKN8nX                                   |
| Battle of Dunkirk (fb:m.0jpb7) | Name (fb:type.object.name)                                          | Bataille de Dunkerque (fr)                                               |
| Battle of Dunkirk (fb:m.0jpb7) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%45%39%31%43%29_%2F%46%43%4A%31%43>        |
| Battle of Dunkirk (fb:m.0jpb7) | Notable for (fb:common.topic.notable_for)                           | fb:g.1258k9b_6                                                           |
| Battle of Dunkirk (fb:m.0jpb7) | Notable types (fb:common.topic.notable_types)                       | Military Conflict (fb:m.02h76fz)                                         |
| Battle of Dunkirk (fb:m.0jpb7) | Description (fb:common.topic.description)                           | A Batalha de Dunquerque foi uma ...oram evacuados por via marítima. (pt) |
| Battle of Dunkirk (fb:m.0jpb7) | Article (fb:common.topic.article)                                   | fb:m.0jpbj                                                               |
| Battle of Dunkirk (fb:m.0jpb7) | Image (fb:common.topic.image)                                       | Battle of Dunkirk (fb:m.02brxlr)                                         |
| Battle of Dunkirk (fb:m.0jpb7) | Start date (fb:time.event.start_date)                               | 1940-05-26 (xsd:date)                                                    |
| ...                            | ...                                                                 | ...                                                                      |

[Assistant] The Battle of Dunkirk (fb:m.0jpb7) has many properties but I need to find information related to estimated casualties. I will search for properties related to casualties for this event.

[Tool]
Top 10 property alternatives:
1. Casualties (fb:military.military_conflict.casualties): part of Military Conflict schema, links to type Casualties
2. Combatants (fb:military.military_conflict.combatants): links to type Military combatant group, part of Military Conflict schema
3. Commanders (fb:military.military_conflict.commanders): part of Military Conflict schema, links to type Military Command
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. entity involved (fb:base.culturalevent.event.entity_involved): part of event schema, links to type Topic
6. Force Strengths (fb:military.military_conflict.force_strengths): part of Military Conflict schema, links to type Force Strength
7. Location(s) (fb:time.event.locations): links to type Location, part of Event schema

No other items found

[Assistant] The property "Casualties" (fb:military.military_conflict.casualties) is available for the Battle of Dunkirk. I will now query the casualties for the Battle of Dunkirk.

[Tool]
Got 4 rows and 3 columns:
| subject                        | property                                              | object       |
| ------------------------------ | ----------------------------------------------------- | ------------ |
| Battle of Dunkirk (fb:m.0jpb7) | Casualties (fb:military.military_conflict.casualties) | fb:m.04lkt8p |
| Battle of Dunkirk (fb:m.0jpb7) | Casualties (fb:military.military_conflict.casualties) | fb:m.04lkt8z |
| Battle of Dunkirk (fb:m.0jpb7) | Casualties (fb:military.military_conflict.casualties) | fb:m.04lkt9b |
| Battle of Dunkirk (fb:m.0jpb7) | Casualties (fb:military.military_conflict.casualties) | fb:m.04lkt9m |

[Assistant] The Battle of Dunkirk has multiple casualties entries. I will now check the details of these casualties entries to find the estimated number of casualties. I will start with the first one (fb:m.04lkt8p).

[Tool]
Got 6 rows and 3 columns:
| subject      | property                                                       | object                              |
| ------------ | -------------------------------------------------------------- | ----------------------------------- |
| fb:m.04lkt8p | Type (fb:type.object.type)                                     | Casualties (fb:military.casualties) |
| fb:m.04lkt8p | Combatant (fb:military.casualties.combatant)                   | Nazi Germany (fb:m.059z0)           |
| fb:m.04lkt8p | Estimate (fb:military.casualties.lower_estimate)               | 10252                               |
| fb:m.04lkt8p | Military Conflict (fb:military.casualties.military_conflict)   | Battle of Dunkirk (fb:m.0jpb7)      |
| fb:m.04lkt8p | Type Of Casualties (fb:military.casualties.type_of_casualties) | Military - Dead (fb:m.02h76wg)      |
| fb:m.04lkt8p | rdf:type                                                       | Casualties (fb:military.casualties) |

[Assistant] The first casualties entry for the Battle of Dunkirk shows an estimate of 10,252 military dead for Nazi Germany. I will check the other casualties entries to see if there is an entry with more than 30,000 estimated casualties. I will check the second one (fb:m.04lkt8z).

[Tool]
Got 7 rows and 3 columns:
| subject      | property                                                     | object                              |
| ------------ | ------------------------------------------------------------ | ----------------------------------- |
| fb:m.04lkt8z | Type (fb:type.object.type)                                   | Casualties (fb:military.casualties) |
| fb:m.04lkt8z | Combatant (fb:military.casualties.combatant)                 | United Kingdom (fb:m.07ssc)         |
| fb:m.04lkt8z | Estimate (fb:military.casualties.lower_estimate)             | 30000                               |
| fb:m.04lkt8z | Military Conflict (fb:military.casualties.military_conflict) | Battle of Dunkirk (fb:m.0jpb7)      |
| fb:m.04lkt8z | rdf:type                                                     | Casualties (fb:military.casualties) |
| fb:m.04lkt8z | Combatant (fb:military.casualties.combatant)                 | Belgium (fb:m.0154j)                |
| fb:m.04lkt8z | Combatant (fb:military.casualties.combatant)                 | French Third Republic (fb:m.01h3dj) |

[Assistant]
The second casualties entry for the Battle of Dunkirk shows an estimate of 30,000 casualties for the United Kingdom, Belgium, and French Third Republic combined. This matches the user's criteria of more than 30,000 estimated casualties.

Now, I will check the "Dunkirk evacuation" event to see if it also has casualty information.

[Tool]
Got 502 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                                                            | object                                                                     |
| -------------------------------- | ------------------------------------------------------------------- | -------------------------------------------------------------------------- |
| Dunkirk evacuation (fb:m.01lmvf) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                    |
| Dunkirk evacuation (fb:m.01lmvf) | Key (fb:type.object.key)                                            | /en/operation_dynamo                                                       |
| Dunkirk evacuation (fb:m.01lmvf) | Name (fb:type.object.name)                                          | Chiến dịch Dynamo (vi)                                                     |
| Dunkirk evacuation (fb:m.01lmvf) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%27%46%33%2D%27%28_%2F%27%46%43%31%43>       |
| Dunkirk evacuation (fb:m.01lmvf) | Notable for (fb:common.topic.notable_for)                           | fb:g.125fxfs44                                                             |
| Dunkirk evacuation (fb:m.01lmvf) | Notable types (fb:common.topic.notable_types)                       | Military Conflict (fb:m.02h76fz)                                           |
| Dunkirk evacuation (fb:m.01lmvf) | Description (fb:common.topic.description)                           | A „Dinamó” hadművelet a második ...agánjachtok, utasszállító hajók. (hu)   |
| Dunkirk evacuation (fb:m.01lmvf) | Article (fb:common.topic.article)                                   | fb:m.01lmvp                                                                |
| Dunkirk evacuation (fb:m.01lmvf) | Also known as (fb:common.topic.alias)                               | Miracle of Dunkirk (en)                                                    |
| Dunkirk evacuation (fb:m.01lmvf) | Image (fb:common.topic.image)                                       | French troops rescued by a British merchant ship at Dunkirk (fb:m.02cbbkm) |
| ...                              | ...                                                                 | ...                                                                        |

[Assistant] The Dunkirk evacuation (fb:m.01lmvf) is also a military conflict event. I will now search for casualties related to the Dunkirk evacuation.

[Tool]
Top 10 property alternatives:
1. Commanders (fb:military.military_conflict.commanders): part of Military Conflict schema, links to type Military Command
2. Key (fb:type.object.key): part of Object schema, links to type Key
3. Location(s) (fb:time.event.locations): links to type Location, part of Event schema

No other items found

[Assistant]
There are no direct casualties properties linked to the Dunkirk evacuation event in the knowledge graph. Given that the Battle of Dunkirk has casualties exceeding 30,000 and is a major event in Dunkirk during World War II, it is likely the event the user is referring to.

I will now formulate a SPARQL query to retrieve the event in Dunkirk during World War II with estimated casualties greater than 30,000 and provide the answer.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query did not return any results, indicating that the data for casualties over 30,000 in Dunkirk events might not be directly available or linked as expected in Freebase. The query attempts to find events in Dunkirk with military conflicts having casualties over 30,000, but no such data was found. To improve, consider verifying the correct entity for Dunkirk and its events, and check if casualty data is recorded differently or under different properties. Also, consider broadening the query to include related events or conflicts associated with Dunkirk during WW2, such as the 'Battle of Dunkirk' or the 'Dunkirk evacuation,' and check for casualty estimates in other related properties. Additionally, ensure the query returns the event identifiers as required, and optionally include labels in an OPTIONAL clause. The current query's FILTER might be too restrictive or the data might not be present in Freebase. A retry with a refined query or a different approach is recommended.

[Assistant]
The previous query did not return results likely because the casualty data is linked to specific casualty entities rather than directly to the event with a numeric estimate. I will refine the query to:
- Retrieve events linked to Dunkirk.
- For each event, retrieve linked casualties entities.
- For each casualties entity, retrieve the lower estimate of casualties.
- Filter for estimates greater than 30,000.
- Return the event and its label.

This approach should better capture the structure of the data. I will retry with this refined query.

[Tool]
Got 5 rows and 2 columns:
| event                          | eventName                    |
| ------------------------------ | ---------------------------- |
| Battle of Dunkirk (fb:m.0jpb7) | Bataille de Dunkerque (fr)   |
| Battle of Dunkirk (fb:m.0jpb7) | Batalha de Dunquerque (pt)   |
| Battle of Dunkirk (fb:m.0jpb7) | Bătălia de la Dunkerque (ro) |
| Battle of Dunkirk (fb:m.0jpb7) | Batalla de Dunkerque (ca)    |
| Battle of Dunkirk (fb:m.0jpb7) | Batalla de Dunkerque (es)    |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the event in Dunkirk during World War II with more than 30,000 estimated casualties. It uses the location entity for Dunkirk and filters events by casualty estimates greater than 30,000, returning the Battle of Dunkirk as the answer. The query adheres to the rules by returning the event identifier and its name. The answer is accurate and complete for the user's question.