PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?label ?professionLabel WHERE {
  fb:m.0btx2g rdfs:label ?label FILTER ( lang( ?label ) = 'en' ) .
  fb:m.0btx2g fb:people.person.profession ?profession .
  ?profession rdfs:label ?professionLabel
  FILTER ( lang( ?professionLabel ) = 'en' )
}

Got 5 rows and 2 columns:
| label           | professionLabel        |
| --------------- | ---------------------- |
| Rick Scott (en) | Businessperson (en)    |
| Rick Scott (en) | Executive officer (en) |
| Rick Scott (en) | Investor (en)          |
| Rick Scott (en) | Lawyer (en)            |
| Rick Scott (en) | Politician (en)        |

Rick Scott (fb:m.0btx2g) is an American businessperson, investor, executive officer, lawyer, and politician.

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

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

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

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

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

[User] who is rick scott?

[Assistant] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
what did roald dahl write?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0ff2k ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0ff2k fb:film.writer.film ?x .
}

Using entities:
Roald Dahl, also known as Dahl, Roald, Roald Dal, Ronald Dahl (fb:m.0ff2k): Roald Dahl was a British novelist, short story writer, poet, scr...Adult works include Tales of the Unexpected and My Uncle Oswald., has type Author

Using properties:
Film writing credits (fb:film.writer.film): part of Film writer schema, links to type Film

Example 2:
Question:
what school does bart simpson go to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0h6cb ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0h6cb fb:fictional_universe.fictional_character.education ?x .
}

Using entities:
Bart Simpson, also known as Bart 2, Bartholomew Jo-Jo Simpson, Bartholomew J. Simpson, Bartman (fb:m.0h6cb): Bartholomew JoJo "Bart" Simpson is a fictional character in the ...is mischievousness, rebelliousness and disrespect for authority., has type Film character

Using properties:
Education (fb:fictional_universe.fictional_character.education): part of Fictional Character schema, links to type School in fiction

Example 3:
Question:
what language does the new zealand speak?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0ctw_b ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0ctw_b fb:location.country.official_language ?x .
}

Using entities:
New Zealand, also known as Aotearoa, God's own, Land of the long white cloud, NZ (fb:m.0ctw_b): New Zealand is an island country in the southwestern Pacific Oce...ned the Treaty of Waitangi, making New Zealand a British colony., has type Country

Using properties:
Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema

[Assistant]
The question "Who is Rick Scott?" is asking for information about the entity Rick Scott. The best approach is to search for the entity "Rick Scott" in the Freebase knowledge graph and then retrieve relevant information about him, such as his type (e.g., politician, person) and a brief description or label.

First, I will search for the entity "Rick Scott" in the Freebase knowledge graph to find its identifier. Then, I will retrieve some basic information about this entity.

[Tool]
Top 10 entity alternatives:
1. Rick Scott, also known as Richard L Scott, Richard Lynn Scott (fb:m.0btx2g): Richard "Rick" Lynn Scott is an American businessman and politic...against him personally. Scott later became a venture capitalist., has type Politician
2. Rick Scott, also known as Scott (fb:m.0dv8x35): Shirley Myers is one of the writers of the song Haven't You Heard., Rick Scott is a 2005 Juno Award nominated artist., Rick Scott  is a Juno Award nominated musician., has type Composer
3. Rick Scott (fb:m.012jl2sr): has type Musician
4. Rick Scott (fb:m.0zd59w_): Rick Scott is a former member of the musical group Alabama., has type Musical Artist
5. Rick Scott (fb:m.0v003jw): Rick Scott is a fictional character from the 1999 film In Too Deep., has type Film character
6. Scott Rickards (fb:m.02w99_5): Scott Rickards is a professional footballer, who plays for Rainw...s then went on to play for Halesowen Town having signed in 2009., has type Football player
7. Rickey Scott (fb:m.0w7r4l6): Rickey Scott is a basketball player., has type Basketball Player
8. Ricky Scott, also known as Scott, Ricky (fb:m.03j18jt): has type Musical Artist
9. Rickey Scott Sr., also known as Rickey Scott (fb:m.0w7t7xp): Rickey Scott Sr. is the father of Rickey Scott., has type Person
10. Mark Scott Ricketts (fb:m.05mwyrn): Mark Ricketts is an American comic book writer, illustrator and ...nwriting award for his teleplay "Whiskey Dickel, Int'l Cowgirl.", has type Person

[Assistant]
The most relevant entity for "Rick Scott" is fb:m.0btx2g, which corresponds to Richard "Rick" Lynn Scott, an American businessman and politician.

Next, I will retrieve some basic information about this entity, such as his type and a brief description or label.

[Tool]
Got 50 rows and 4 columns, showing the first 5 and last 5 rows below:
| property                 | propertyLabel | value              | valueLabel |
| ------------------------ | ------------- | ------------------ | ---------- |
| fbkey:business.cik       |               | 0000915477         |            |
| fbkey:business.cik       |               | 915477             |            |
| fbkey:en                 |               | richard_l_scott    |            |
| fbkey:en                 |               | richard_lynn_scott |            |
| fbkey:source.corpwatch   |               | 9862               |            |
| ...                      | ...           | ...                | ...        |
| fbkey:wikipedia.it       |               | Rick_Scott         |            |
| fbkey:wikipedia.it_id    |               | 3440624            |            |
| fbkey:wikipedia.it_title |               | Rick_Scott         |            |
| fbkey:wikipedia.nl       |               | Rick_Scott         |            |
| fbkey:wikipedia.nl_id    |               | 2309037            |            |

[Assistant]
I found several identifiers and keys related to Rick Scott (fb:m.0btx2g), including business identifiers and Wikipedia links. However, there is no direct short description or type label in the first 50 results.

I will now try to retrieve the type of Rick Scott to confirm he is a politician and possibly other relevant properties like his profession or notable roles.

[Tool]
Got 12 rows and 1 column, showing the first 5 and last 5 rows below:
| type                                                                                |
| ------------------------------------------------------------------------------------- |
| Government position held extra (fb:base.schemastaging.government_position_held_extra) |
| Agent (fb:base.type_ontology.agent)                                                   |
| Animate (fb:base.type_ontology.animate)                                               |
| Physically Instantiable (fb:base.type_ontology.physically_instantiable)               |
| Organization leader (fb:business.board_member)                                        |
| ...                                                                                |
| Political Appointer (fb:government.political_appointer)                               |
| Politician (fb:government.politician)                                                 |
| Organization founder (fb:organization.organization_founder)                           |
| Appointer (fb:people.appointer)                                                       |
| Person (fb:people.person)                                                             |

[Assistant]
Rick Scott (fb:m.0btx2g) is typed as a Person, Politician, Organization founder, Organization leader, and other related types. This confirms he is a politician.

To provide a concise answer, I will now retrieve his full name and a short description or label if available.

[Tool]
Got 1 row and 1 column:
| label           |
| --------------- |
| Rick Scott (en) |

[Tool] Got no rows and 1 columns

[Assistant]
There is no direct description available for Rick Scott in the knowledge graph. However, based on the information retrieved, Rick Scott (fb:m.0btx2g) is an American businessman and politician.

I will now provide the final answer with his identifier and a brief summary.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The current SPARQL query only returns the label 'Rick Scott' but does not provide any descriptive information about who he is. The user's question asks 'who is Rick Scott?', which implies a need for a brief description or relevant attributes such as his occupation or notable roles. To improve, the query should be refined to retrieve additional information such as his professions, notable roles, or a short description if available in the knowledge graph. For example, querying for his types or notable properties related to his career would provide a more informative answer.

[Assistant]
Thank you for the feedback. To provide a more informative answer to "Who is Rick Scott?", I will refine the query to retrieve his occupations, notable roles, and any other relevant descriptive information available in the knowledge graph.

I will start by querying for his occupations and notable roles.

[Tool]
Got 5 rows and 4 columns:
| property                                 | propertyLabel   | value                           | valueLabel             |
| ---------------------------------------- | --------------- | ------------------------------- | ---------------------- |
| Profession (fb:people.person.profession) | Profession (en) | Businessperson (fb:m.012t_z)    | Businessperson (en)    |
| Profession (fb:people.person.profession) | Profession (en) | Investor (fb:m.025sppp)         | Investor (en)          |
| Profession (fb:people.person.profession) | Profession (en) | Executive officer (fb:m.0289fz) | Executive officer (en) |
| Profession (fb:people.person.profession) | Profession (en) | Lawyer (fb:m.04gc2)             | Lawyer (en)            |
| Profession (fb:people.person.profession) | Profession (en) | Politician (fb:m.0fj9f)         | Politician (en)        |

[Assistant]
Rick Scott (fb:m.0btx2g) has several professions including Businessperson, Investor, Executive officer, Lawyer, and Politician.

I will now provide this refined answer with his professions.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The current SPARQL query only retrieves the English label of Rick Scott, which is 'Rick Scott'. However, the user's question 'who is Rick Scott?' expects a descriptive answer about his identity or roles. The answer provided in natural language is good, but the SPARQL query should be improved to fetch more informative data, such as his professions, roles, or a short description if available. For example, the query could retrieve properties like 'profession', 'occupation', or 'description' to provide a more complete answer. Therefore, the output is sensible but needs refinement to better meet the user's question.

[Assistant]
Thank you for the feedback. I understand that the SPARQL query should return more informative data such as Rick Scott's professions or roles, not just his label.

I will now construct a SPARQL query that retrieves Rick Scott's English label along with his professions (with their English labels) to provide a more complete answer to the question "Who is Rick Scott?".

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?city ?cityName ?containedBy ?containedByName WHERE {
  VALUES ?city {
    fb:m.0qgkw fb:m.010g5b fb:m.0ynrd fb:m.011d48 fb:m.0tzq6 fb:m.0tnn7 fb:m.034yq0 fb:m.0x_k8
  }
  ?city fb:type.object.name ?cityName .
  ?city fb:location.location.containedby ?containedBy .
  ?containedBy fb:type.object.name ?containedByName .
}

Got 6,060 rows and 4 columns, showing the first 5 and last 5 rows below:
| city                | cityName      | containedBy                  | containedByName                      |
| ------------------- | ------------- | ---------------------------- | ------------------------------------ |
| Wales (fb:m.010g5b) | Wales (ca)    | Utah (fb:m.07srw)            | Juta (lt)                            |
| Wales (fb:m.010g5b) | Wales (ca)    | Utah (fb:m.07srw)            | Jūta (lv)                            |
| Wales (fb:m.010g5b) | Wales (ca)    | Utah (fb:m.07srw)            | Utah (ca)                            |
| Wales (fb:m.010g5b) | Wales (ca)    | Utah (fb:m.07srw)            | Utah (cs)                            |
| Wales (fb:m.010g5b) | Wales (ca)    | Utah (fb:m.07srw)            | Utah (da)                            |
| ...                 | ...           | ...                          | ...                                  |
| Wales (fb:m.0ynrd)  | 威爾士 (zh-Hant) | Cavalier County (fb:m.0n3dh) | شهرستان کاوالیر، داکوتای شمالی (fa)  |
| Wales (fb:m.0ynrd)  | 威爾士 (zh-Hant) | Cavalier County (fb:m.0n3dh) | مقاطعة كافالير، داكوتا الشمالية (ar) |
| Wales (fb:m.0ynrd)  | 威爾士 (zh-Hant) | Cavalier County (fb:m.0n3dh) | キャバリエ郡 (ja)                          |
| Wales (fb:m.0ynrd)  | 威爾士 (zh-Hant) | Cavalier County (fb:m.0n3dh) | 卡弗利爾縣 (zh)                           |
| Wales (fb:m.0ynrd)  | 威爾士 (zh-Hant) | Cavalier County (fb:m.0n3dh) | 卡弗利爾郡 (北達科他州) (zh-Hant)              |

There are multiple cities named Wales. Here are some of them with their containing locations:
- Wales in Alaska, United States
- Wales in Utah, United States
- Wales in North Dakota, United States
- Wales in Wisconsin, United States
- Wales in Massachusetts, United States
- Wales in Maine, United States
- Wales in South Yorkshire, United Kingdom (village/civil parish)
- Wales in New York, United States

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

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

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

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

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

[User] where is the city wales?

[Assistant] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
where's wayne state?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01s0_f ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01s0_f fb:organization.organization.headquarters ?y .
  ?y fb:location.mailing_address.country ?x .
}

Using entities:
Wayne State University, also known as WSU, Wayne State University, main campus, Wayne State University, Detroit (fb:m.01s0_f): Wayne State University is a public research university located i... and hosting of the Detroit Windsor International Film Festival., has type College/University

Using properties:
Country (fb:location.mailing_address.country): part of Address schema, links to type Country
Headquarters (fb:organization.organization.headquarters): part of Organization schema, links to type Address

Example 2:
Question:
what was nicolaus copernicus occupation?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01vvm4 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01vvm4 fb:people.person.profession ?x .
}

Using entities:
Nicolaus Copernicus, also known as Mikołaj Kopernik, Niclas Koppernigk, Nicolò Copernico, Nikolaus Kopernikus (fb:m.01vvm4): Nicolaus Copernicus was a Renaissance mathematician and astronom...ormulated a version of what later became known as Gresham's law., has type Astronomer

Using properties:
Profession (fb:people.person.profession): links to type Profession, part of Person schema

Example 3:
Question:
where was dwight d. eisenhower from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.028rk ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.028rk fb:people.person.place_of_birth ?x .
}

Using entities:
Dwight D. Eisenhower, also known as David Dwight Eisenhower, President Eisenhower, President Dwight D. Eisenhower, Pres. Dwight D. Eisenhower, Ike (fb:m.028rk): Dwight David "Ike" Eisenhower was the 34th President of the Unit... A. Taft, campaigning against "Communism, Korea and corruption"., has type US President

Using properties:
Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

[Assistant]
The question "where is the city Wales?" seems to ask for the location of a city named "Wales." However, "Wales" is primarily known as a country, not a city. I will first check if there is a city named "Wales" in the knowledge graph. If not, I will clarify the location of the country Wales.

Step 1: Search for the entity "Wales" to identify if it is a city or a country or both.

[Tool]
Top 10 entity alternatives:
1. Wales (fb:m.0j5g9): Wales is a country that is part of the United Kingdom and the is...–1542. Distinctive Welsh politics developed in the 19th century., has type Country
2. Iwan Rheon, also known as Wales, Misfits, Iwanny (fb:m.09gf_v_): Iwan Rheon is a Welsh actor, singer and musician, best known for...series Game of Thrones and Ash Weston in the ITV sitcom Vicious., has type Film actor
3. Wales, also known as Nome Census Area / Wales city, Wales, Alaska (fb:m.0qgkw): Wales is a city in the Nome Census Area, Alaska, United States. ... serves Wales with flights on Bering Air and Era Alaska to Nome., has type City/Town/Village
4. Wales, also known as Wales, Utah, Sanpete County / Wales town (fb:m.010g5b): Wales is a town in Sanpete County, Utah, United States. The popu...of the present residents are descendants of the original miners., has type City/Town/Village
5. Wales, also known as Cavalier County / Wales city, Wales, North Dakota (fb:m.0ynrd): Wales is a city in Cavalier County, North Dakota, United States....population was 31 at the 2010 census. Wales was founded in 1897., has type City/Town/Village
6. Wales, also known as Wales, Wisconsin, Waukesha County / Wales village (fb:m.011d48): Wales is a village in Waukesha County, Wisconsin, United States,...y Welsh immigrants. The population was 2,549 at the 2010 census., has type City/Town/Village
7. Wales, also known as Wales, Massachusetts (fb:m.0tzq6): Wales is a town in Hampden County, Massachusetts, United States....of the Springfield, Massachusetts Metropolitan Statistical Area., has type City/Town/Village
8. Wales, also known as Wales, Maine (fb:m.0tnn7): Wales is a town in Androscoggin County, Maine, United States. Th...iston-Auburn, Maine Metropolitan New England City and Town Area., has type City/Town/Village
9. Wales, also known as Wales, South Yorkshire (fb:m.034yq0): Wales is a village and a civil parish in the Metropolitan Boroug...s the village of Wales and neighbouring settlement Kiveton Park., has type Administrative Division
10. Wales, also known as Wales, New York (fb:m.0x_k8): Wales is a town in Erie County, New York, United States. The tow...ffalo. As of the 2010 census the town had a population of 3,005., has type City/Town/Village

[Assistant]
There are multiple entities named "Wales" in the knowledge graph. The first is Wales as a country (fb:m.0j5g9). There are also several cities/towns named Wales in the United States (e.g., in Alaska, Utah, North Dakota, Wisconsin, Massachusetts, Maine, South Yorkshire, New York).

Since the question asks "where is the city Wales?" I will focus on the cities named Wales. I will now retrieve the location information for these cities named Wales. Let's start with the city Wales in Alaska (fb:m.0qgkw).

[Tool]
Got 337 rows and 3 columns, showing the first 10 rows below:
| subject            | property                                                            | object                                                                   |
| ------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Wales (fb:m.0qgkw) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Wales (fb:m.0qgkw) | Key (fb:type.object.key)                                            | /authority/gnis/1404755                                                  |
| Wales (fb:m.0qgkw) | Name (fb:type.object.name)                                          | Wales (ca)                                                               |
| Wales (fb:m.0qgkw) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ca.wikipedia.org/wiki/index.html?curid=674510>                   |
| Wales (fb:m.0qgkw) | Notable for (fb:common.topic.notable_for)                           | fb:g.125b673hx                                                           |
| Wales (fb:m.0qgkw) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                            |
| Wales (fb:m.0qgkw) | Description (fb:common.topic.description)                           | Wales, Amerika Birleşik Devletle...eşim arasında Wales de yer alır. (tr) |
| Wales (fb:m.0qgkw) | Article (fb:common.topic.article)                                   | fb:m.0qgl0                                                               |
| Wales (fb:m.0qgkw) | Also known as (fb:common.topic.alias)                               | Nome Census Area / Wales city (en)                                       |
| Wales (fb:m.0qgkw) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                                   |
| ...                | ...                                                                 | ...                                                                      |

[Assistant] The city Wales in Alaska (fb:m.0qgkw) is contained by the United States of America (fb:m.09c7w0). I will now check the location information for the other cities named Wales to provide a more complete answer. Next, I will check the city Wales in Utah (fb:m.010g5b).

[Tool]
Got 304 rows and 3 columns, showing the first 10 rows below:
| subject             | property                                                            | object                                                                   |
| ------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Wales (fb:m.010g5b) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Wales (fb:m.010g5b) | Key (fb:type.object.key)                                            | /authority/gnis/1446954                                                  |
| Wales (fb:m.010g5b) | Name (fb:type.object.name)                                          | Wales (ca)                                                               |
| Wales (fb:m.010g5b) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%48%4A%44%32_(%4A%48%2A%27)>               |
| Wales (fb:m.010g5b) | Notable for (fb:common.topic.notable_for)                           | fb:g.1255yn0mq                                                           |
| Wales (fb:m.010g5b) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                            |
| Wales (fb:m.010g5b) | Description (fb:common.topic.description)                           | La ville américaine de Wales est...nts lors du recensement de 2000. (fr) |
| Wales (fb:m.010g5b) | Article (fb:common.topic.article)                                   | fb:m.010g5h                                                              |
| Wales (fb:m.010g5b) | Also known as (fb:common.topic.alias)                               | Sanpete County / Wales town (en)                                         |
| Wales (fb:m.010g5b) | Contained by (fb:location.location.containedby)                     | Utah (fb:m.07srw)                                                        |
| ...                 | ...                                                                 | ...                                                                      |

[Assistant] The city Wales in Utah (fb:m.010g5b) is contained by Utah (fb:m.07srw). I will now check the city Wales in North Dakota (fb:m.0ynrd).

[Tool]
Got 286 rows and 3 columns, showing the first 10 rows below:
| subject            | property                                                            | object                                                                                |
| ------------------ | ------------------------------------------------------------------- | ----------------------------------------------------------------------------------------- |
| Wales (fb:m.0ynrd) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                                   |
| Wales (fb:m.0ynrd) | Key (fb:type.object.key)                                            | /authority/gnis/1032665                                                                   |
| Wales (fb:m.0ynrd) | Name (fb:type.object.name)                                          | Wales (ca)                                                                                |
| Wales (fb:m.0ynrd) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%48%4A%44%32_(%2F%27%43%48%2A%27_%27%44%34%45%27%44%4A%29)> |
| Wales (fb:m.0ynrd) | Notable for (fb:common.topic.notable_for)                           | fb:g.1255mfkvs                                                                            |
| Wales (fb:m.0ynrd) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                                             |
| Wales (fb:m.0ynrd) | Description (fb:common.topic.description)                           | Wales es una ciudad ubicada en e...cional de 50,5 personas por km². (es)                  |
| Wales (fb:m.0ynrd) | Article (fb:common.topic.article)                                   | fb:m.0ynrk                                                                                |
| Wales (fb:m.0ynrd) | Also known as (fb:common.topic.alias)                               | Cavalier County / Wales city (en)                                                         |
| Wales (fb:m.0ynrd) | Contained by (fb:location.location.containedby)                     | North Dakota (fb:m.05fky)                                                                 |
| ...                | ...                                                                 | ...                                                                                |

[Assistant] The city Wales in North Dakota (fb:m.0ynrd) is contained by North Dakota (fb:m.05fky). I will now check the city Wales in Wisconsin (fb:m.011d48).

[Tool]
Got 238 rows and 3 columns, showing the first 10 rows below:
| subject             | property                                                            | object                                                                   |
| ------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Wales (fb:m.011d48) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Wales (fb:m.011d48) | Key (fb:type.object.key)                                            | /authority/gnis/1576156                                                  |
| Wales (fb:m.011d48) | Name (fb:type.object.name)                                          | Wales (ca)                                                               |
| Wales (fb:m.011d48) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%48%27%44%33_(%48%4A%33%43%48%46%33%46)>   |
| Wales (fb:m.011d48) | Notable for (fb:common.topic.notable_for)                           | fb:g.1256mrr5f                                                           |
| Wales (fb:m.011d48) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                            |
| Wales (fb:m.011d48) | Description (fb:common.topic.description)                           | Wales és una població dels Estat...una població de 2.523 habitants. (ca) |
| Wales (fb:m.011d48) | Article (fb:common.topic.article)                                   | fb:m.011d4f                                                              |
| Wales (fb:m.011d48) | Also known as (fb:common.topic.alias)                               | Wales, Wisconsin (en)                                                    |
| Wales (fb:m.011d48) | Contained by (fb:location.location.containedby)                     | Wisconsin (fb:m.0824r)                                                   |
| ...                 | ...                                                                 | ...                                                                      |

[Assistant] The city Wales in Wisconsin (fb:m.011d48) is contained by Wisconsin (fb:m.0824r). I will now check the city Wales in Massachusetts (fb:m.0tzq6).

[Tool]
Got 135 rows and 3 columns, showing the first 10 rows below:
| subject            | property                                                            | object                                                                   |
| ------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Wales (fb:m.0tzq6) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Wales (fb:m.0tzq6) | Key (fb:type.object.key)                                            | /authority/gnis/609858                                                   |
| Wales (fb:m.0tzq6) | Name (fb:type.object.name)                                          | Wales (ca)                                                               |
| Wales (fb:m.0tzq6) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ca.wikipedia.org/wiki/index.html?curid=684273>                   |
| Wales (fb:m.0tzq6) | Notable for (fb:common.topic.notable_for)                           | fb:g.1255f0571                                                           |
| Wales (fb:m.0tzq6) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                            |
| Wales (fb:m.0tzq6) | Description (fb:common.topic.description)                           | Wales är en kommun i Hampden Cou...1,3 km² varav 0,5 km² är vatten. (sv) |
| Wales (fb:m.0tzq6) | Article (fb:common.topic.article)                                   | fb:m.0tzqc                                                               |
| Wales (fb:m.0tzq6) | Also known as (fb:common.topic.alias)                               | Wales, Massachusetts (en)                                                |
| Wales (fb:m.0tzq6) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                                   |
| ...                | ...                                                                 | ...                                                                      |

[Assistant] The city Wales in Massachusetts (fb:m.0tzq6) is contained by the United States of America (fb:m.09c7w0). I will now check the city Wales in Maine (fb:m.0tnn7).

[Tool]
Got 134 rows and 3 columns, showing the first 10 rows below:
| subject            | property                                                            | object                                                                   |
| ------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Wales (fb:m.0tnn7) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Wales (fb:m.0tnn7) | Key (fb:type.object.key)                                            | /authority/hud/fmr_id/2300179585                                         |
| Wales (fb:m.0tnn7) | Name (fb:type.object.name)                                          | Wales (ca)                                                               |
| Wales (fb:m.0tnn7) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ca.wikipedia.org/wiki/index.html?curid=692051>                   |
| Wales (fb:m.0tnn7) | Notable for (fb:common.topic.notable_for)                           | fb:g.125czvnmn                                                           |
| Wales (fb:m.0tnn7) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                            |
| Wales (fb:m.0tnn7) | Description (fb:common.topic.description)                           | La ville américaine de Wales est...ion s’élevait à 1 616 habitants. (fr) |
| Wales (fb:m.0tnn7) | Article (fb:common.topic.article)                                   | fb:m.0tnnd                                                               |
| Wales (fb:m.0tnn7) | Also known as (fb:common.topic.alias)                               | Wales, Maine (en)                                                        |
| Wales (fb:m.0tnn7) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                                   |
| ...                | ...                                                                 | ...                                                                      |

[Assistant] The city Wales in Maine (fb:m.0tnn7) is contained by the United States of America (fb:m.09c7w0). I will now check the city Wales in South Yorkshire (fb:m.034yq0).

[Tool]
Got 87 rows and 3 columns, showing the first 10 rows below:
| subject             | property                                                            | object                                                                   |
| ------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Wales (fb:m.034yq0) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Wales (fb:m.034yq0) | Key (fb:type.object.key)                                            | /en/wales_united_kingdom                                                 |
| Wales (fb:m.034yq0) | Name (fb:type.object.name)                                          | Wales (en)                                                               |
| Wales (fb:m.034yq0) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://en.wikipedia.org/wiki/index.html?curid=712234>                   |
| Wales (fb:m.034yq0) | Notable for (fb:common.topic.notable_for)                           | fb:g.12584qy5v                                                           |
| Wales (fb:m.034yq0) | Notable types (fb:common.topic.notable_types)                       | Administrative Division (fb:m.02hpz31)                                   |
| Wales (fb:m.034yq0) | Description (fb:common.topic.description)                           | Wales è un paese di 6.000 abitan...South Yorkshire, in Inghilterra. (it) |
| Wales (fb:m.034yq0) | Article (fb:common.topic.article)                                   | fb:m.034yq5                                                              |
| Wales (fb:m.034yq0) | Also known as (fb:common.topic.alias)                               | Wales, South Yorkshire (en)                                              |
| Wales (fb:m.034yq0) | Contained by (fb:location.location.containedby)                     | United Kingdom (fb:m.07ssc)                                              |
| ...                 | ...                                                                 | ...                                                                      |

[Assistant]
The Wales in South Yorkshire (fb:m.034yq0) is an administrative division contained by the United Kingdom (fb:m.07ssc). It is not a city but a village or civil parish.

I will now check the city Wales in New York (fb:m.0x_k8).

[Tool]
Got 72 rows and 3 columns, showing the first 10 rows below:
| subject            | property                                                            | object                                                                   |
| ------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Wales (fb:m.0x_k8) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Wales (fb:m.0x_k8) | Key (fb:type.object.key)                                            | /en/wales_new_york                                                       |
| Wales (fb:m.0x_k8) | Name (fb:type.object.name)                                          | Wales (en)                                                               |
| Wales (fb:m.0x_k8) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://en.wikipedia.org/wiki/index.html?curid=126428>                   |
| Wales (fb:m.0x_k8) | Notable for (fb:common.topic.notable_for)                           | fb:g.12577s1l5                                                           |
| Wales (fb:m.0x_k8) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                            |
| Wales (fb:m.0x_k8) | Description (fb:common.topic.description)                           | Wales es un pueblo ubicado en el...cional de 32.1 personas por km². (es) |
| Wales (fb:m.0x_k8) | Article (fb:common.topic.article)                                   | fb:m.0x_kf                                                               |
| Wales (fb:m.0x_k8) | Also known as (fb:common.topic.alias)                               | Wales, New York (en)                                                     |
| Wales (fb:m.0x_k8) | Contained by (fb:location.location.containedby)                     | United States of America (fb:m.09c7w0)                                   |
| ...                | ...                                                                 | ...                                                                      |

[Assistant]
The city Wales in New York (fb:m.0x_k8) is contained by the United States of America (fb:m.09c7w0).

Summary: There are multiple cities named Wales, mostly in the United States, each contained by their respective states or the United States itself. There is also a Wales in South Yorkshire, UK, which is a village or civil parish contained by the United Kingdom.

I will now prepare a SPARQL query to return these cities named Wales along with their containing location.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified that there are multiple cities named Wales and provided a list of them along with their containing locations. The SPARQL query returns the city identifiers and their containing locations, which is appropriate for the question. The answer is clear and complete, covering multiple instances of cities named Wales in different regions. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?actor ?actorName WHERE {
  fb:m.0gynx fb:film.film_character.portrayed_in_films ?performance .
  ?performance fb:film.performance.actor ?actor .
  ?actor fb:type.object.name ?actorName .
}

Got 30 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor                      | actorName         |
| -------------------------- | ----------------- |
| Miranda Otto (fb:m.0294fd) | Miranda Oto (lv)  |
| Miranda Otto (fb:m.0294fd) | Miranda Otto (cs) |
| Miranda Otto (fb:m.0294fd) | Miranda Otto (da) |
| Miranda Otto (fb:m.0294fd) | Miranda Otto (de) |
| Miranda Otto (fb:m.0294fd) | Miranda Otto (en) |
| ...                        | ...               |
| Miranda Otto (fb:m.0294fd) | میراندا اتو (fa)  |
| Miranda Otto (fb:m.0294fd) | 미란다 오토 (ko)       |
| Miranda Otto (fb:m.0294fd) | ミランダ・オットー (ja)    |
| Miranda Otto (fb:m.0294fd) | 米兰达·奥图 (zh)       |
| Miranda Otto (fb:m.0294fd) | 米蘭達·奧圖 (zh-Hant)  |

The actor who plays Eowyn in the Lord of the Rings films is Miranda Otto.

[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 plays eowyn in lord of the rings?

[Assistant] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
where did paul ryan live?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.024v2j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.024v2j fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
}

Using entities:
Paul Ryan, also known as Paul D. Ryan, Jr. (fb:m.024v2j): Paul Davis Ryan is an American politician and member of the Repu...ith the two chambers controlled by different parties since 1986., Paul Ryan appeared in the 2012 film Koch Brothers Exposed., has type U.S. Congressperson

Using properties:
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location

Example 2:
Question:
what was francisco vasquez de coronado known for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0jgb2 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0jgb2 fb:common.topic.notable_for ?y .
  ?y fb:common.notable_for.object ?x .
}

Using entities:
Francisco Vázquez de Coronado, also known as Francisco Vasquez de Coronado (fb:m.0jgb2): Francisco Vázquez de Coronado y Luján was a Spanish conquistador...andmarks. His name is often Anglicized as "Vasquez de Coronado"., has type Author

Using properties:
Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema

Example 3:
Question:
what two countries share a border with the great lakes?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03519 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03519 fb:location.location.partially_containedby ?x .
  ?x fb:base.biblioness.bibs_location.loc_type ?sk0 .
  FILTER ( str( ?sk0 ) = "Country" )
}

Using entities:
Great Lakes, also known as Laurentian Great Lakes (fb:m.03519): The Great Lakes are a series of interconnected freshwater lakes ...duced due to trade, and some threaten the region's biodiversity., has type Body Of Water

Using properties:
Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
Partially contained by (fb:location.location.partially_containedby): part of Location schema, links to type Location

[Assistant]
The question is "who plays eowyn in lord of the rings?" We want to find the actor who played the character Eowyn in the Lord of the Rings.

Step 1: Search for the entity "Eowyn" to identify the character in the knowledge graph.
Step 2: Search for the entity "Lord of the Rings" to identify the work.
Step 3: Find the property that links a character to the actor who played them.
Step 4: Construct a query to find the actor who played Eowyn in Lord of the Rings.

I will start by searching for the entity "Eowyn".

[Tool]
Top 10 entity alternatives:
1. Éowyn, also known as Dernhelm, Eowyn of Rohan, Eowyn (fb:m.0gynx): Éowyn is a fictional character in Tolkien's legendarium who appe...She is a noblewoman of Rohan who is described as a shieldmaiden., has type Film character
2. Eowyn, also known as Éowyn (fb:m.01scdwn): Éowyn is a Christian alternative rock artist from the Nashville, Tennessee area that began in 1999., has type Composer
3. Eowyn (fb:m.0w8d6cx): has type Musical Recording
4. Eowyn (fb:m.0w8p4l7)
5. Eowyn Ivey, also known as Eowyn LeMay Ivey (fb:m.0j4jycq): Eowyn Ivey is a Pulitzer Prize-nominated author. Educated at Wes...for her first novel The Snow Child. She is a resident of Alaska., Eowyn Ivey is the author of The Snow Child., has type Author
6. Eowyn Steele (fb:m.0gb_yrh): has type Film actor
7. Princess Éowyn (fb:m.0f1kdnb): has type Musical Recording
8. Eowyn Scholiers (fb:m.0cjcrdp): has type Film actor
9. Eowyn Suchan (fb:m.011m7vfr): Eowyn Suchan is the mother of American Football player Dominic Rufran., has type Person
10. Princess Éowyn (fb:m.0lzxk92)

[Assistant]
The entity "Éowyn" as a film character in Tolkien's legendarium is identified as fb:m.0gynx. This matches the character we are interested in.

Next, I will search for the entity "Lord of the Rings" to identify the work.

[Tool]
Top 10 entity alternatives:
1. The Lord of the Rings: The Fellowship of the Ring, also known as Sagan om ringen - härskarringen, O Senhor dos Anéis - A Irmandade do Anel, Sagan om ringen, Rôdo obu za ringu, Ringenes herre: Ringens brorskap (fb:m.017gl1): The Lord of the Rings: The Fellowship of the Ring is a 2001 epic...ritic lists of the greatest fantasy films ever made, as of 2013., has type Film
2. The Lord of the Rings, also known as LotR, The Lord of the Ring, The Lord of the Rings Boxed Set (fb:m.07bz5): The Lord of the Rings is an epic high-fantasy novel written by E...rior; Legolas Greenleaf, an Elven prince; and Gandalf, a Wizard., has type Book
3. Gerhard Schröder, also known as The Lord of the Rings, Gerhard Schroeder, Gerhard Schroder, Gerhard Fritz Kurt Schröder, Der Bundeskanzler (fb:m.0bj7n): Gerhard Fritz Kurt Schröder is a German politician, and was Chan...ng been hired as a global manager by investment bank Rothschild., has type Politician
4. The Lord of the Rings (fb:m.025h5s): The Lord of the Rings is a film series consisting of three epic ... thus ensure the destruction of its maker, the Dark Lord Sauron., has type Film series
5. The Lord of the Rings, also known as A Gyűrűk Ura (fb:m.023cjg): J.R.R. Tolkien's The Lord of the Rings is a 1978 American animat...s to be presented theatrically in the Dolby Stereo sound system., has type Award-Winning Work
6. Lord of the Rings, also known as Sagan om ringen, The Lord of the Rings, Music Inspired by Lord of the Rings (fb:m.01n7v81): Music Inspired by Lord of the Rings is an instrumental progressi...a result, it is by far his best known and most successful album., has type Musical Album
7. The Fellowship, also known as The Lord of the Rings: The Fellowship of the Ring: The Fellowship, The Lord of the Rings (The Fello... of the Ring) - “The Fellowship”, The Fellowship (The Lord of the Rings: Fellowship of the Ring), The Fellowship (The Lord of The Rings), The Fellowship of the Ring: The Fellowship (fb:m.0135qbm): has type Musical Recording
8. Lord of the Rings (fb:m.02r9202): The Lord of the Rings is the most prominent of several theatre a... performed in 2006 and will be revived for a world tour in 2015., has type Play
9. Symphony No. 1, also known as The Lord of the Rings (fb:m.03crlvx): Symphony No. 1 "The Lord of the Rings" is the first symphony for...ny is based on literary themes from the novel by J.R.R. Tolkien., has type Composition
10. Lord of the Rings (fb:m.0dy052c): has type Consumer product

[Assistant]
There are multiple entities related to "Lord of the Rings." The most relevant for the film series is "The Lord of the Rings (fb:m.025h5s)" which is a film series. Since the question is about who plays Eowyn in the Lord of the Rings, this entity seems appropriate.

Next, I will search for properties related to the character "Éowyn" (fb:m.0gynx) that might indicate the actor who played this character.

[Tool]
Top 10 property alternatives:
1. Portrayed in films (fb:film.film_character.portrayed_in_films): links to type Film performance, part of Film character schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
4. Key (fb:type.object.key): part of Object schema, links to type Key
5. Married To (fb:fictional_universe.fictional_character.married_to): links to type Marriage (of Fictional Characters), part of Fictional Character schema
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Gender (fb:fictional_universe.fictional_character.gender): part of Fictional Character schema, links to type Character Gender
8. Species (fb:fictional_universe.fictional_character.species): part of Fictional Character schema, links to type Character Species
9. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema
10. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text

No other items found

[Assistant]
The property "Portrayed in films" (fb:film.film_character.portrayed_in_films) links the character to a film performance. This is likely where the actor information is stored.

Next, I will explore the property "Portrayed in films" for the character Éowyn (fb:m.0gynx) to find the film performance entity. Then I will find the actor linked to that film performance.

[Tool]
Got 2 rows and 3 columns:
| subject            | property                                                       | object       |
| ------------------ | -------------------------------------------------------------- | ------------ |
| Éowyn (fb:m.0gynx) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.03l6qc3 |
| Éowyn (fb:m.0gynx) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.03l6qws |

[Assistant]
The character Éowyn (fb:m.0gynx) is portrayed in two films: fb:m.03l6qc3 and fb:m.03l6qws.

Next, I will check the details of these films to see if they belong to the Lord of the Rings film series (fb:m.025h5s). I will start by checking the first film fb:m.03l6qc3.

[Tool]
Got 5 rows and 3 columns:
| subject      | property                                  | object                                              |
| ------------ | ----------------------------------------- | --------------------------------------------------- |
| fb:m.03l6qc3 | Type (fb:type.object.type)                | Film performance (fb:film.performance)              |
| fb:m.03l6qc3 | Actor (fb:film.performance.actor)         | Miranda Otto (fb:m.0294fd)                          |
| fb:m.03l6qc3 | Film (fb:film.performance.film)           | The Lord of the Rings: The Two Towers (fb:m.017gm7) |
| fb:m.03l6qc3 | Character (fb:film.performance.character) | Éowyn (fb:m.0gynx)                                  |
| fb:m.03l6qc3 | rdf:type                                  | Film performance (fb:film.performance)              |

[Assistant]
The film performance fb:m.03l6qc3 is for the film "The Lord of the Rings: The Two Towers" (fb:m.017gm7). The actor for this performance is Miranda Otto (fb:m.0294fd).

I will also check the second film performance fb:m.03l6qws to see if it is related to the Lord of the Rings film series.

[Tool]
Got 5 rows and 3 columns:
| subject      | property                                  | object                                                      |
| ------------ | ----------------------------------------- | ----------------------------------------------------------- |
| fb:m.03l6qws | Type (fb:type.object.type)                | Film performance (fb:film.performance)                      |
| fb:m.03l6qws | Actor (fb:film.performance.actor)         | Miranda Otto (fb:m.0294fd)                                  |
| fb:m.03l6qws | Film (fb:film.performance.film)           | The Lord of the Rings: The Return of the King (fb:m.017jd9) |
| fb:m.03l6qws | Character (fb:film.performance.character) | Éowyn (fb:m.0gynx)                                          |
| fb:m.03l6qws | rdf:type                                  | Film performance (fb:film.performance)                      |

[Assistant]
The second film performance fb:m.03l6qws is for the film "The Lord of the Rings: The Return of the King" (fb:m.017jd9). The actor for this performance is also Miranda Otto (fb:m.0294fd).

Therefore, Miranda Otto plays Éowyn in the Lord of the Rings films.

I will now prepare the final SPARQL query and answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the actor who plays Éowyn in the Lord of the Rings films from the Freebase knowledge graph. The query uses the appropriate properties to link the character to film performances and then to the actor, and it returns the actor's identifier and name. The execution result shows multiple labels for Miranda Otto in different languages, confirming the correct identification of the actor. The answer provided, "Miranda Otto," is accurate and complete. No further refinement is necessary.