PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?invention ?inventionName WHERE {
  fb:m.0h24w fb:law.inventor.inventions ?invention .
  OPTIONAL {
    ?invention fb:type.object.name ?inventionName
  }
}

Got 42 rows and 2 columns, showing the first 5 and last 5 rows below:
| invention              | inventionName  |
| ---------------------- | -------------- |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (ca) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (cs) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (da) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (de) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (el) |
| ...                    | ...            |
| Coca-Cola (fb:m.01yvs) | โค้ก (th)      |
| Coca-Cola (fb:m.01yvs) | 코카콜라 (ko)      |
| Coca-Cola (fb:m.01yvs) | コカ・コーラ (ja)    |
| Coca-Cola (fb:m.01yvs) | 可口可乐 (zh)      |
| Coca-Cola (fb:m.01yvs) | 可口可樂 (zh-Hant) |

John Pemberton created the drink Coca-Cola.

[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 drink did john pemberton create?

[Assistant] The user is asking about the drink created by John Pemberton. John Pemberton is historically known as the inventor of Coca-Cola. To confirm this and get the exact entity and property in the Freebase knowledge graph, I will first search for the entity "John Pemberton" in Freebase. Then I will look for properties related to "drink created" or "invented drink" or similar to find the drink he created.

[Tool]
Top 10 entity alternatives:
1. John Pemberton (fb:m.0h24w): John Stith Pemberton was an American pharmacist, and is best known for being the inventor of Coca-Cola., has type Inventor
2. John C. Pemberton, also known as John Pemberton (fb:m.02_qg_): John Clifford Pemberton, was a career United States Army officer...render in the critical Siege of Vicksburg in the summer of 1863., has type Military Commander
3. John Pemberton (fb:m.02qgpmy): John Pemberton is an English former professional footballer and ...pent a brief period as interim manager of the club's first team., has type Football player
4. John Pemberton (fb:m.04jj19k): John Pemberton is an associate professor of anthropology at Colu...y at Columbia, Pemberton taught at the University of Washington., has type Academic
5. John Pemberton (fb:m.04n6m7f): John "Jack" Pemberton was an Australian rules footballer who pla...iled to experience a win either as a player or coach in the VFL., has type Australian Rules Footballer
6. John Pemberton (fb:m.05wk10h): has type Author
7. John Pemberton (fb:m.0t_8wsy): John Pemberton is an actor., has type Film actor
8. John Pemberton (fb:m.04r039p)
9. John Pemberton (fb:m.03t75g1)
10. Johnny Pemberton (fb:m.09j61nb): Johnny Pemberton is an actor., has type TV Actor

[Assistant] The most relevant entity for John Pemberton, the inventor of Coca-Cola, is fb:m.0h24w. Next, I will search for properties of this entity that might relate to the drink he created or invented. I will search for properties related to "drink" or "create" or "invent" for this entity.

[Tool]
Top 10 property alternatives:
1. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
2. Image (fb:common.topic.image): part of Topic schema, links to type Image
3. Key (fb:type.object.key): part of Object schema, links to type Key
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Type (fb:type.object.type): part of Object schema, links to type Type
6. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
7. Daylife Topic (fb:common.identity.daylife_topic): links to type Enumeration, part of Identity schema
8. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time

No other items found

[Assistant] There are no direct properties related to "drink" or "invent" for the entity John Pemberton (fb:m.0h24w). I will try a broader search for properties related to "create" or "invent" for this entity.

[Tool]
Top 10 property alternatives:
1. Inventions (fb:law.inventor.inventions): links to type Invention, part of Inventor schema
2. Things named after this (fb:symbols.name_source.namesakes): part of Name source schema, links to type Namesake
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Profession (fb:people.person.profession): links to type Profession, part of Person schema
6. Gender (fb:people.person.gender): part of Person schema, links to type Gender
7. Article (fb:common.topic.article): links to type Document, part of Topic schema
8. Image (fb:common.topic.image): part of Topic schema, links to type Image
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema

No other items found

[Assistant] The property "Inventions" (fb:law.inventor.inventions) seems to be the relevant property for John Pemberton's inventions. I will query the inventions of John Pemberton using this property to find the drink he created.

[Tool]
Got 42 rows and 2 columns, showing the first 5 and last 5 rows below:
| invention              | inventionName  |
| ---------------------- | -------------- |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (ca) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (cs) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (da) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (de) |
| Coca-Cola (fb:m.01yvs) | Coca-Cola (el) |
| ...                    | ...            |
| Coca-Cola (fb:m.01yvs) | โค้ก (th)      |
| Coca-Cola (fb:m.01yvs) | 코카콜라 (ko)      |
| Coca-Cola (fb:m.01yvs) | コカ・コーラ (ja)    |
| Coca-Cola (fb:m.01yvs) | 可口可乐 (zh)      |
| Coca-Cola (fb:m.01yvs) | 可口可樂 (zh-Hant) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the inventions of John Pemberton, including Coca-Cola, which is the drink he created. The answer is accurate and complete. The query also optionally retrieves the invention names in various languages, which is a nice addition. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?official ?officialLabel WHERE {
  fb:m.04ly1 fb:government.governmental_jurisdiction.governing_officials ?official .
  OPTIONAL {
    ?official rdfs:label ?officialLabel
  }
}

Got 67 rows and 2 columns, showing the first 5 and last 5 rows below:
| official      | officialLabel |
| ------------- | ------------- |
| fb:m.010f0pjr |               |
| fb:m.010f0pn6 |               |
| fb:m.010f0v3j |               |
| fb:m.010fr50s |               |
| fb:m.010wzlnk |               |
| ...           | ...           |
| fb:m.0wzkd48  |               |
| fb:m.0wztk13  |               |
| fb:m.0x0wd9d  |               |
| fb:m.0yqgrv3  |               |
| fb:m.0zs3n9b  |               |

The knowledge graph does not have specific data on Louisiana state senators. This query retrieves governing officials of Louisiana with their labels, which may include state senators if available.

[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 louisiana state senator?

[Assistant]
The question "Who is Louisiana state senator?" is somewhat ambiguous because Louisiana has multiple state senators representing different districts. To provide a meaningful answer, I need to clarify if the user wants a list of all current Louisiana state senators or a specific senator from Louisiana.

Step 1: Identify the entity "Louisiana" and the concept of "state senator."
Step 2: Search for entities related to Louisiana and state senators in the knowledge graph.
Step 3: Construct a query to find all state senators associated with Louisiana.

I will start by searching for the entity "Louisiana" in the knowledge graph to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Louisiana, also known as LA, Sugar State, Sportsman's Paradise, Pelican State (fb:m.04ly1): Louisiana is a state located in the southern region of the Unite...ecies, including many species of orchids and carnivorous plants., has type US State
2. Louisiana, also known as Louisiana (New France) (fb:m.06c97m): Louisiana or French Louisiana was an administrative district of ...art to Spain as compensation for that country's loss of Florida., has type Location
3. Louisiana, also known as Louisiana, Missouri, Pike County / Louisiana city (fb:m.0wz6q): Louisiana is a city in Pike County, Missouri, United States. The... for a former US Speaker of the House from nearby Bowling Green., has type City/Town/Village
4. Louisiana, also known as Louisiana (New Spain) (fb:m.02ptx6c): Louisiana was the name of an administrative district of the Vice...g Louis XIV in 1682. It is sometimes known as Spanish Louisiana., has type Location
5. Louisiana (fb:m.013ck9x): has type Musical Recording
6. Louisiana (fb:m.0smk4_): has type Musical Recording
7. Lyman C. Josephs House, also known as Louisiana, Lyman C. Joseph House, Middletown (fb:m.043qsrr): The Lyman C. Josephs House, also known as Louisiana, is an histo...e was added to the National Register of Historic Places in 1975., has type Building
8. Drums O' Voodoo, also known as Louisiana, She Devill (fb:m.08mmmq): Drums O' Voodoo is a film about voodoo. The film was written by ...ed by Arthur Hoerl, based on the play by Smith of the same name., has type Film
9. Louisiana (fb:m.012ngw_h): Louisiana is a 1919 American silent comedy film directed by Robe.... The film was released on July 20, 1919, by Paramount Pictures.
10. Louisiana (fb:m.0dmrtfk): has type Musical Recording

[Assistant] I found the entity for Louisiana as a US state with the identifier fb:m.04ly1. Now I need to find the property or relation that connects Louisiana to its state senators. I will search for properties related to "state senator" or "senator" for the entity Louisiana (fb:m.04ly1).

[Tool]
Top 10 property alternatives:
1. Representatives (fb:government.political_district.representatives): links to type Government Position Held, part of Political District schema
2. Government positions (fb:government.governmental_jurisdiction.government_positions): links to type Government Office or Title, part of Governmental Jurisdiction schema
3. Elections (fb:government.political_district.elections): part of Political District schema, links to type Election contest
4. Country (fb:base.locations.states_and_provences.country): part of States and provinces schema, links to type Countries
5. Country (fb:location.administrative_division.country): part of Administrative Division schema, links to type Country
6. Country (fb:base.biblioness.bibs_location.country): part of Bibs Location schema, links to type Location
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Government bodies (fb:government.governmental_jurisdiction.government_bodies): part of Governmental Jurisdiction schema, links to type Governmental Body
9. Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
10. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI

No other items found

[Assistant] The property "Governing officials" (fb:government.governmental_jurisdiction.governing_officials) seems relevant to find officials like state senators for Louisiana. I will now query for the governing officials of Louisiana (fb:m.04ly1) and check if any of them are state senators.

[Tool]
Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| official      | officialLabel |
| ------------- | ------------- |
| fb:m.010f0pjr |               |
| fb:m.010f0pn6 |               |
| fb:m.010f0v3j |               |
| fb:m.010fr50s |               |
| fb:m.010wzlnk |               |
| ...           | ...           |
| fb:m.09tmmqy  |               |
| fb:m.09tmmtt  |               |
| fb:m.09tmmv_  |               |
| fb:m.09tmmxm  |               |
| fb:m.0hz6wgt  |               |

[Assistant] I retrieved a list of governing officials for Louisiana, but the labels are missing for these officials. To identify which of these officials are state senators, I will check the government positions held by these officials to see if any of them hold the position of "state senator." I will start by checking the government position of one of these officials, for example, fb:m.010f0pjr.

[Tool] Got no rows and 3 columns

[Assistant] There are no results for the government position held by the official fb:m.010f0pjr. I will try to find the government position held by another official from the list, for example, fb:m.010f0pn6.

[Tool] Got no rows and 3 columns

[Assistant]
There are no results for the government position held by the official fb:m.010f0pn6 either. Since the direct approach to find the position held by these officials is not yielding results, I will try a different approach.

I will search for the entity "state senator" to find its identifier and then query for individuals who hold this position in Louisiana.

[Tool]
Top 10 entity alternatives:
1. State Senator, also known as Member of State Senate (fb:m.01t7n9): A state senator is a member of a state's Senate, the upper house...t a higher level than a state representative in the lower house., Member of State Senate is a politician who represents a sub-state administrative division at the regional level Senate., has type Government office category
2. State Senator (fb:m.0y7p0td): State Senator is a fictional character from the 2012 film So Undercover., has type Film character
3. State Senator (fb:m.0v2_xz7): State Senator  is a fictional character from the 2012 film Little Red Wagon., has type Film character
4. State Senator (fb:m.0bdy2mk)
5. state senator (fb:m.07r8cvn)
6. State Senator (fb:user.oxlady.default_domain.state_senator)
7. Ohio State Senator (fb:m.0b_chkn): has type Government Office or Title
8. Virginia State Senator (fb:m.0b_m_zg): has type Government Office or Title
9. California State Senator (fb:m.03hcl24): has type Government Office or Title
10. Vermont State Senator, also known as Member of Vermont Senate (fb:m.04h_9kh): Member of Vermont Senate is a government title in Vermont, USA., has type Government Office or Title

[Assistant] I found the entity for "State Senator" as a government office category with the identifier fb:m.01t7n9. Now I will query for individuals who hold the position of state senator in Louisiana. To do this, I will look for people who have the position "State Senator" and are associated with Louisiana. I will try to find a property that links a person to their government position and location.

[Tool]
Top 10 property alternatives:
1. Position Holders (fb:royalty.chivalric_office.position_holders): links to type Chivalric Order Officer Tenure, part of Chivalric Office schema
2. Position (fb:people.appointment_nomination.position): part of Appointment Nomination schema, links to type Appointed Role
3. Position (fb:base.centreforeresearch.person.position): part of Person schema, links to type Text
4. Position (fb:base.formula1.formula_1_race_standing.position): part of Formula 1 Race Standing schema, links to type Integer
5. Position (fb:cricket.cricket_roster_batting.position): part of Cricket Roster Batting schema, links to type Integer
6. Position (fb:user.szaijan.fantasy_football.position_limit.position): part of Position Limit schema, links to type Position
7. Position (fb:american_football.football_historical_coach_position.position): part of American football historical coach position schema, links to type American football coach position
8. Position (fb:user.jamslevy.plopquiz.profile.position): links to type Position, part of Profile schema
9. Position (fb:user.cheunger.sports_test.roster_membership.position): part of Roster Membership schema, links to type Topic
10. Position (fb:base.fictionaluniverse.fictional_spaceship_crewman_posting.position): part of Fictional Spaceship Crewman Posting schema, links to type Character Occupation

[Assistant]
The property "Position Holders" (fb:royalty.chivalric_office.position_holders) is related to position holders but seems specific to chivalric offices. The property "Position" (fb:people.appointment_nomination.position) looks promising as it is part of the Appointment Nomination schema and links to an appointed role.

I will now try to find people who hold the position of "State Senator" (fb:m.01t7n9) using the property fb:people.appointment_nomination.position.

[Tool] Got no rows and 3 columns

[Assistant]
There are no direct triples linking people to the position "State Senator" using the property fb:people.appointment_nomination.position. I will try to find people who hold government positions in Louisiana using the property fb:government.governmental_jurisdiction.governing_officials and then filter those who have the position of state senator.

I will query for the government positions held by the officials of Louisiana (fb:m.04ly1) using the property fb:government.position_held.

[Tool] Got no rows and 3 columns

[Assistant]
There are no results for the government positions held by the officials of Louisiana using the property fb:government.position_held. Since the direct approach to find Louisiana state senators is not yielding results, I will try a different approach.

I will search for entities with the label "Louisiana State Senator" to see if there are specific individuals with this title in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. State Senator, also known as Member of State Senate (fb:m.01t7n9): A state senator is a member of a state's Senate, the upper house...t a higher level than a state representative in the lower house., Member of State Senate is a politician who represents a sub-state administrative division at the regional level Senate., has type Government office category
2. Louisiana State (fb:m.0sj4mbx): has type Musical Recording
3. Louisiana State (fb:m.0nm0p30): has type Musical Recording
4. State Senator (fb:m.0y7p0td): State Senator is a fictional character from the 2012 film So Undercover., has type Film character
5. State Senator (fb:m.0v2_xz7): State Senator  is a fictional character from the 2012 film Little Red Wagon., has type Film character
6. State Senator (fb:m.0bdy2mk)
7. Louisiana State (fb:m.0sjdg15)
8. Louisiana State (fb:m.0nqc657)
9. state senator (fb:m.07r8cvn)
10. State Senator (fb:user.oxlady.default_domain.state_senator)

[Assistant]
There are no specific individuals labeled as "Louisiana State Senator" in the knowledge graph. Given the complexity and the lack of direct data linking Louisiana to its state senators, it seems the knowledge graph may not have detailed or up-to-date information on individual Louisiana state senators.

I will provide a query that retrieves the governing officials of Louisiana and their labels, which might include state senators if available. This is the best approximation given the data.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query retrieves governing officials of Louisiana but does not specifically filter for state senators. The question asks specifically for Louisiana state senators, so the query should be refined to filter officials by the position or role of 'state senator' within Louisiana. Additionally, the query currently returns many officials without labels, which reduces readability. It would be beneficial to include a filter for the position held (e.g., 'state senator') and ensure labels are retrieved for better clarity. This refinement will make the answer more precise and relevant to the user's question.

[Assistant]
Thank you for the feedback. To refine the query, I will focus on filtering the governing officials of Louisiana by those who hold the position of "State Senator." I will try to find a property that links officials to their positions and filter for the position "State Senator" (fb:m.01t7n9). I will also ensure to retrieve labels for both the officials and their positions for better readability.

I will first check if the officials have a property indicating their position held, then filter by the position "State Senator."

[Tool] Got no rows and 4 columns

[Assistant]
The query to find governing officials of Louisiana with the position held containing "state senator" returned no results. This suggests that the property fb:government.position_held may not be used or populated for these officials.

I will try a different approach by searching for entities that are of type "State Senator" and are associated with Louisiana as their jurisdiction or location. I will first find properties related to "jurisdiction" or "location" for the entity type "State Senator" (fb:m.01t7n9).

[Tool]
Top 10 property alternatives:
1. Offices (fb:government.government_office_category.offices): part of Government office category schema, links to type Government Office or Title
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Key (fb:type.object.key): part of Object schema, links to type Key
4. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Officeholders (fb:government.government_office_category.officeholders): part of Government office category schema, links to type Government Position Held
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Article (fb:common.topic.article): links to type Document, part of Topic schema

No other items found

[Assistant]
There are no properties directly related to "jurisdiction" or "location" for the entity type "State Senator" (fb:m.01t7n9). The property "Officeholders" (fb:government.government_office_category.officeholders) might be useful to find individuals holding the office of state senator.

I will try to find officeholders of the "State Senator" category (fb:m.01t7n9) and then filter those who are associated with Louisiana.

[Tool] Got no rows and 3 columns

[Assistant]
There are no officeholders listed for the "State Senator" category (fb:m.01t7n9). Given the limitations in the data, it appears that the knowledge graph does not have detailed or specific information on individual Louisiana state senators.

I will provide a refined query that attempts to retrieve governing officials of Louisiana with their labels, acknowledging that specific filtering for state senators is not possible with the available data. This query will at least provide the officials associated with Louisiana.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The current query retrieves governing officials of Louisiana but does not specifically filter for state senators. Since the user asked for Louisiana state senators, the query should be refined to specifically find officials holding the position of state senator in Louisiana. This can be done by including a filter or a triple pattern that restricts the officials to those with a position related to 'state senator' or similar. Additionally, the query should ensure to return labels for better readability. Improving the query to specifically target state senators will provide a more accurate and relevant answer to the user's question.

[Assistant]
Thank you for the feedback. To specifically find Louisiana state senators, I will try to identify officials who hold the position of "State Senator" and are associated with Louisiana. Since previous attempts to find a direct property linking officials to their positions or jurisdiction did not yield results, I will try a different approach:

1. Search for entities that are of type "State Senator" (fb:m.01t7n9).
2. Filter those entities by their association with Louisiana, possibly through a property like "state" or "jurisdiction" or "location."
3. Retrieve the labels of these entities for readability.

I will start by searching for properties related to "state" or "jurisdiction" for entities of type "State Senator" (fb:m.01t7n9) to find a suitable property to filter by Louisiana.

[Tool]
Top 10 property alternatives:
1. Key (fb:type.object.key): part of Object schema, links to type Key
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Description (fb:common.topic.description): part of Topic schema, links to type Text
5. Officeholders (fb:government.government_office_category.officeholders): part of Government office category schema, links to type Government Position Held
6. Offices (fb:government.government_office_category.offices): part of Government office category schema, links to type Government Office or Title
7. Article (fb:common.topic.article): links to type Document, part of Topic schema
8. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
9. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

No other items found

[Assistant]
There are no properties directly related to "state" or "jurisdiction" for the entity type "State Senator" (fb:m.01t7n9) that would help filter by Louisiana. The properties available are mostly descriptive or related to officeholders and offices, but no direct link to a state or location.

Given these limitations, I will try a different approach: I will search for entities with the label "Louisiana State Senator" or similar to find specific individuals who might be state senators from Louisiana. Then I can retrieve their labels and identifiers.

I will perform a search for entities with the query "Louisiana State Senator."

[Tool]
Top 10 entity alternatives:
1. State Senator, also known as Member of State Senate (fb:m.01t7n9): A state senator is a member of a state's Senate, the upper house...t a higher level than a state representative in the lower house., Member of State Senate is a politician who represents a sub-state administrative division at the regional level Senate., has type Government office category
2. Louisiana State (fb:m.0sj4mbx): has type Musical Recording
3. Louisiana State (fb:m.0nm0p30): has type Musical Recording
4. State Senator (fb:m.0y7p0td): State Senator is a fictional character from the 2012 film So Undercover., has type Film character
5. State Senator (fb:m.0v2_xz7): State Senator  is a fictional character from the 2012 film Little Red Wagon., has type Film character
6. State Senator (fb:m.0bdy2mk)
7. Louisiana State (fb:m.0sjdg15)
8. Louisiana State (fb:m.0nqc657)
9. state senator (fb:m.07r8cvn)
10. State Senator (fb:user.oxlady.default_domain.state_senator)

[Assistant]
There are no specific individuals labeled as "Louisiana State Senator" in the knowledge graph. Given the limitations in the data and the lack of direct links between Louisiana and its state senators, it appears that the knowledge graph does not have detailed or specific information on individual Louisiana state senators.

I will provide a query that retrieves governing officials of Louisiana with their labels, which might include state senators if available. This is the best approximation given the data.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?country ?countryLabel ?birthPlace ?birthPlaceLabel WHERE {
  OPTIONAL {
    fb:m.047sxrj fb:people.person.nationality ?country .
    ?country rdfs:label ?countryLabel .
    FILTER ( LANG( ?countryLabel ) = "en" )
  }
  OPTIONAL {
    fb:m.047sxrj fb:people.person.place_of_birth ?birthPlace .
    ?birthPlace rdfs:label ?birthPlaceLabel .
    FILTER ( LANG( ?birthPlaceLabel ) = "en" )
  }
}

Nicki Minaj's nationality is United States of America, and her place of birth is Saint James, Trinidad and Tobago.

[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 is nicki minaj from?

[Assistant] To answer the question "What country is Nicki Minaj from?" I will first search for the entity "Nicki Minaj" in the Freebase knowledge graph to get its identifier. Then I will look for properties related to the country or place of origin for that entity.

[Tool]
Top 10 entity alternatives:
1. Nicki Minaj, also known as Onika Tanya Maraj, Onika Tonya Maraj, Point Dexter, Princess of Pop, Queen of Hip-Hop (fb:m.047sxrj): Onika Tanya Maraj, better known by her stage name Nicki Minaj, i...and also had a supporting role in the 2014 film The Other Woman., has type Celebrity
2. Nicki Minaj (fb:m.0jb0j64): Cycle 17 features the first-ever All-Star cast, with fan favorit...e judges' panel for the first elimination of the All-Star cycle., has type TV Episode
3. Nicki Minaj (fb:m.0g0dbj6): has type TV Episode
4. Nicki Minaj (fb:m.0129t7c6): has type Musical Recording
5. Nicki Minaj (fb:m.0mthrxw): has type TV Episode
6. Nicki Minaj (fb:m.0wrrscc): has type TV Episode
7. Nicki Minaj (fb:m.012b5zby)
8. Nicki Minaj Speaks (fb:m.0np03yq): has type Musical Recording
9. Nicki Minaj cropped (fb:m.0dhcp0w)
10. Nicki Minaj Speaks (fb:m.0npczwq)

[Assistant] The entity for Nicki Minaj in Freebase is fb:m.047sxrj. Now I will search for properties related to the country or place of origin for this entity. I will start by searching for properties related to "country" or "origin" for Nicki Minaj.

[Tool]
Top 10 property alternatives:
1. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
2. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
3. Key (fb:type.object.key): part of Object schema, links to type Key
4. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
5. Member of (fb:music.group_member.membership): links to type Musical Group Membership, part of Musician schema
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Profession (fb:people.person.profession): links to type Profession, part of Person schema
8. Image (fb:common.topic.image): part of Topic schema, links to type Image
9. Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
10. Content (fb:broadcast.artist.content): links to type Broadcast Content, part of Broadcast Artist schema

No other items found

[Assistant] I found relevant properties for country or origin for Nicki Minaj: "Country of nationality" (fb:people.person.nationality) and "Place of birth" (fb:people.person.place_of_birth). I will now query the values for these properties for Nicki Minaj.

[Tool]
Got 1 row and 4 columns:
| country                                | countryLabel                  | birthPlace                                     | birthPlaceLabel                       |
| -------------------------------------- | ----------------------------- | ---------------------------------------------- | ------------------------------------- |
| United States of America (fb:m.09c7w0) | United States of America (en) | Saint James, Trinidad and Tobago (fb:m.0gplfm) | Saint James, Trinidad and Tobago (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves both the nationality and place of birth of Nicki Minaj, which are relevant to the question about her country of origin. The answer clearly states that her nationality is United States of America and her place of birth is Saint James, Trinidad and Tobago, providing a complete and accurate response. The query uses appropriate properties and includes labels for readability. No further refinement is necessary.