PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?championship ?date WHERE {
  fb:m.0713r fb:sports.sports_team.championships ?championship .
  ?championship fb:time.event.start_date ?date .
}
ORDER BY DESC ( ?date )
LIMIT 1

The last time the Giants won the World Series was in 2014.

[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] when is the last time the giants won the world series?

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

[Tool]
Example 1:
Question:
when was the last time the san francisco giants won a world series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0713r ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0713r fb:sports.sports_team.championships ?x .
  ?x fb:time.event.start_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
San Francisco Giants, also known as New York Giants (fb:m.0713r): The San Francisco Giants are an American professional baseball f...ed in the World Series 20 times but boycotted the event in 1904., has type Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
Start date (fb:time.event.start_date): links to type Date/Time, part of Event schema

Example 2:
Question:
what years have the giants won the world series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0713r ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0713r fb:sports.sports_team.championships ?x .
}

Using entities:
San Francisco Giants, also known as New York Giants (fb:m.0713r): The San Francisco Giants are an American professional baseball f...ed in the World Series 20 times but boycotted the event in 1904., has type Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

Example 3:
Question:
what year did giants win world series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0713r ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0713r fb:sports.sports_team.championships ?x .
}

Using entities:
San Francisco Giants, also known as New York Giants (fb:m.0713r): The San Francisco Giants are an American professional baseball f...ed in the World Series 20 times but boycotted the event in 1904., has type Professional Sports Team

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

[Assistant]
From the examples, we can see that the San Francisco Giants (also known as New York Giants) are represented by the entity `fb:m.0713r`. The property `fb:sports.sports_team.championships` is used to link the team to their championship events, and the property `fb:time.event.start_date` is used to get the start date of these events.

We can use this information to construct a SPARQL query that finds the last time the Giants won the World Series. Let's start by listing the championships of the Giants and their dates.

[Tool]
Got 3 rows and 2 columns:
| championship                      | date                  |
| --------------------------------- | --------------------- |
| 2014 World Series (fb:m.0117q3yz) | 2014-10-22 (xsd:date) |
| 2010 World Series (fb:m.09gnk2r)  | 2010-10-27 (xsd:date) |
| 2012 World Series (fb:m.0ds8qct)  | 2012-10-24 (xsd:date) |

[Assistant]
The query returned the championships and their dates for the San Francisco Giants. To find the last time they won the World Series, we need to order these results by date in descending order and limit the result to the most recent one.

Let's modify the query to achieve this.

[Tool]
Got 1 row and 2 columns:
| championship                      | date                  |
| --------------------------------- | --------------------- |
| 2014 World Series (fb:m.0117q3yz) | 2014-10-22 (xsd:date) |

[Assistant]
The query has returned the most recent championship and its date for the San Francisco Giants. The last time the Giants won the World Series was in 2014.

Here is the final SPARQL query and the answer:

```sparql
SELECT DISTINCT ?championship ?date WHERE {
  fb:m.0713r fb:sports.sports_team.championships ?championship .
  ?championship fb:time.event.start_date ?date .
} ORDER BY DESC(?date) LIMIT 1
```

The last time the Giants won the World Series was in 2014.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The provided SPARQL query correctly identifies the most recent World Series championship won by the San Francisco Giants, which is the 2014 World Series. The query is well-formed and returns the expected result. No further refinements are necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?governor WHERE {
  fb:m.02xry fb:government.governmental_jurisdiction.governing_officials ?position .
  ?position fb:government.government_position_held.basic_title fb:m.0fkvn .
  ?position fb:government.government_position_held.office_holder ?governor .
  OPTIONAL {
    ?position fb:government.government_position_held.to ?to .
  }
  FILTER ( ! BOUND( ?to ) || STR( ?to ) > STR( NOW () ) )
}

Got 1 row and 1 column:
| governor                 |
| ------------------------ |
| Rick Scott (fb:m.0btx2g) |

The current governor of Florida is Rick Scott.

[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 the state governor of florida?

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

[Tool]
Example 1:
Question:
who is the new governor of florida 2011?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02xry ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02xry fb:government.governmental_jurisdiction.governing_officials ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.basic_title fb:m.0fkvn .
  FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk0
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2011-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk2
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2011-01-01" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk4
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk5 .
    FILTER ( xsd:datetime ( ?sk5 ) <= "2011-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk6
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk7 .
    FILTER ( xsd:datetime ( ?sk7 ) >= "2011-01-01" ^^ xsd:dateTime )
  }
  ) ?y fb:government.government_position_held.from ?sk8 .
}
ORDER BY DESC ( xsd:datetime ( ?sk8 ) )
LIMIT 1

Using entities:
Florida, also known as Sunshine State, State of Florida, Fla, FL (fb:m.02xry): Florida /ˈflɒrɪdə/ is a state in the southeast United States, bo...anther and manatee can be found in the Everglades National Park., has type US State
Governor (fb:m.0fkvn): A governor is, in most cases, a public official with the power t...ub-national units include Mexico, United States and Switzerland., has type Government office category

Using properties:
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held

Example 2:
Question:
who is the elected governor of california?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01n7q ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01n7q fb:government.governmental_jurisdiction.governing_officials ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.basic_title fb:m.0fkvn .
  FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk0
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk2
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
California, also known as CA, Calif, California, USA, Golden State (fb:m.01n7q): California is a state located on the West Coast of the United St...rnia, which was admitted as the 31st state on September 9, 1850., has type US State
Governor (fb:m.0fkvn): A governor is, in most cases, a public official with the power t...ub-national units include Mexico, United States and Switzerland., has type Government office category

Using properties:
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held

Example 3:
Question:
who won the governor election in michigan?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04rrx ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04rrx fb:government.governmental_jurisdiction.governing_officials ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.basic_title fb:m.0fkvn .
}

Using entities:
Michigan, also known as MI, US-MI, The Wolverine State, The Great Lakes State, Mich (fb:m.04rrx): Michigan /ˈmɪʃɨɡən/ is a state in the Great Lakes region of the ...water source or more than 85 miles from a Great Lakes shoreline., has type US State
Governor (fb:m.0fkvn): A governor is, in most cases, a public official with the power t...ub-national units include Mexico, United States and Switzerland., has type Government office category

Using properties:
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held

[Assistant]
Based on the examples, we can see that the SPARQL queries are structured similarly. They all use the `fb:government.governmental_jurisdiction.governing_officials` property to link the state to its governing officials, then filter by the `fb:government.government_position_held.basic_title` property to ensure it's the Governor position, and finally retrieve the `fb:government.government_position_held.office_holder`.

Let's first identify the entity for Florida.

[Tool]
Top 10 entity alternatives:
1. Florida, also known as Sunshine State, State of Florida, Fla, FL (fb:m.02xry): Florida /ˈflɒrɪdə/ is a state in the southeast United States, bo...anther and manatee can be found in the Everglades National Park., has type US State
2. Florida, also known as Florida / Florida city, Florida, Puerto Rico (fb:m.02_zf2): Florida is a municipality of Puerto Rico located north of Ciales...t of the San Juan-Caguas-Guaynabo Metropolitan Statistical Area., has type Puerto Rican Municipality
3. Florida Department, also known as Florida, Departamento De Florida (fb:m.05vn9s): Florida is a department of Uruguay. Its capital is Florida. It i...ts south and the departments of Flores and San José to its west., has type Administrative Division
4. Florida, also known as Florida, Uruguay (fb:m.06xkgz): Florida is the capital of Florida Department of Uruguay. Having ... it is home to almost half of the inhabitants of the department., has type City/Town/Village
5. Florida, also known as Florida, Ohio, Henry County / Florida village (fb:m.0yyl3): Florida is a village in Henry County, Ohio, United States, along the Maumee River. The population was 232 at the 2010 census., has type City/Town/Village
6. Florida, also known as Florida, Missouri, Monroe County / Florida village (fb:m.0wx_x): Florida is a village in Monroe County, Missouri, United States. ...c Site is located in Florida, with Mark Twain State Park nearby., has type City/Town/Village
7. Florida, also known as Florida, Orange County, New York, Florida, New York (fb:m.0y4qp): Florida is a village in Orange County, New York, United States. ...mayor is James R. Pawliczek, Sr., who was elected in March 2002., has type City/Town/Village
8. Florida, also known as Florida, Valle del Cauca (fb:m.02qn6h6): Florida is a town and municipality located in the Department of ...and foods, including a variety of fruit, vegetables, and crafts., has type City/Town/Village
9. Florida, also known as Florida, Cuba (fb:m.0c2tl3): Florida is a municipality and city in the Camagüey Province of C...f the Cuban province of Camagüey, Florida is third in area size., has type City/Town/Village
10. Florida, also known as Florida, Massachusetts (fb:m.0tybf): Florida is a town in Berkshire County, Massachusetts, United Sta...rury. At the 2010 census the town had a total population of 752., has type City/Town/Village

[Assistant]
The correct entity for Florida is `fb:m.02xry`. Now let's construct a SPARQL query to find the current governor of Florida. We'll use the same structure as the examples, but we don't need to filter by specific dates since we want the current governor.

Here's the initial SPARQL query:

```sparql
SELECT DISTINCT ?governor WHERE {
  fb:m.02xry fb:government.governmental_jurisdiction.governing_officials ?position .
  ?position fb:government.government_position_held.basic_title fb:m.0fkvn .
  ?position fb:government.government_position_held.office_holder ?governor .
}
```

Let's execute this query to see the results.

[Tool]
Got 49 rows and 1 column, showing the first 5 and last 5 rows below:
| governor                          |
| --------------------------------- |
| Jeb Bush (fb:m.019x9z)            |
| Bob Graham (fb:m.01b2yl)          |
| Lawton Chiles (fb:m.027165)       |
| Napoleon B. Broward (fb:m.028k98) |
| Francis P. Fleming (fb:m.028szt)  |
| ...                               |
| W. Haydon Burns (fb:m.04bxrt)     |
| Claude R. Kirk, Jr. (fb:m.04by2j) |
| Charlie Crist (fb:m.04jyvv)       |
| Rick Scott (fb:m.0btx2g)          |
| Andrew Jackson (fb:m.0rlz)        |

[Assistant]
The query returned multiple governors, including both past and current ones. To refine the query, we need to filter out the current governor by checking the start and end dates of their term. We can use the `fb:government.government_position_held.from` and `fb:government.government_position_held.to` properties to ensure we get the current governor.

Here's the refined SPARQL query:

```sparql
SELECT DISTINCT ?governor WHERE {
  fb:m.02xry fb:government.governmental_jurisdiction.governing_officials ?position .
  ?position fb:government.government_position_held.basic_title fb:m.0fkvn .
  ?position fb:government.government_position_held.office_holder ?governor .
  OPTIONAL { ?position fb:government.government_position_held.from ?from . }
  OPTIONAL { ?position fb:government.government_position_held.to ?to . }
  FILTER (NOT EXISTS { ?position fb:government.government_position_held.to ?to }
          || (EXISTS { ?position fb:government.government_position_held.to ?to }
              && xsd:datetime(?to) > NOW()))
  FILTER (NOT EXISTS { ?position fb:government.government_position_held.from ?from }
          || (EXISTS { ?position fb:government.government_position_held.from ?from }
              && xsd:datetime(?from) <= NOW()))
}
```

Let's execute this refined query to get the current governor of Florida.

[Tool]
SPARQL execution failed:
Not supported: Function "<http://www.w3.org/2001/XMLSchema#datetime>" is currently not supported by QLever.

[Assistant]
It looks like the QLever endpoint does not support the `xsd:datetime` function. We need to adjust our approach to filter the current governor without using this function.

Instead, we can use a simpler approach by checking if the `to` date is not present or if it is in the future. Since we don't have the `xsd:datetime` function, we can use a string comparison for the date values.

Here's the adjusted SPARQL query:

```sparql
SELECT DISTINCT ?governor WHERE {
  fb:m.02xry fb:government.governmental_jurisdiction.governing_officials ?position .
  ?position fb:government.government_position_held.basic_title fb:m.0fkvn .
  ?position fb:government.government_position_held.office_holder ?governor .
  OPTIONAL { ?position fb:government.government_position_held.to ?to . }
  FILTER (!BOUND(?to) || STR(?to) > STR(NOW()))
}
```

Let's execute this query to get the current governor of Florida.

[Tool]
Got 1 row and 1 column:
| governor                 |
| ------------------------ |
| Rick Scott (fb:m.0btx2g) |

[Assistant]
The current governor of Florida is Rick Scott.

Let's finalize the answer with the SPARQL query and the result.

```sparql
SELECT DISTINCT ?governor WHERE {
  fb:m.02xry fb:government.governmental_jurisdiction.governing_officials ?position .
  ?position fb:government.government_position_held.basic_title fb:m.0fkvn .
  ?position fb:government.government_position_held.office_holder ?governor .
  OPTIONAL { ?position fb:government.government_position_held.to ?to . }
  FILTER (!BOUND(?to) || STR(?to) > STR(NOW()))
}
```

The current governor of Florida is Rick Scott.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query effectively retrieves the current governor of Florida, taking into account the end date of the position to ensure the person returned is the current holder of the office.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?sport ?sportLabel WHERE {
  fb:m.02d9k fb:sports.pro_athlete.sports_played_professionally ?sport .
  OPTIONAL {
    ?sport rdfs:label ?sportLabel
  }
}
LIMIT 1

David Beckham plays the sport identified by `fb:m.0d5fbb8`. The label for this sport is not available in the Freebase dataset, but it is likely football (soccer) based on common knowledge.

[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 does david beckham play?

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

[Tool]
Example 1:
Question:
who does david beckham play for in 2013?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02d9k ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02d9k fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2013-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2013-01-01" ^^ xsd:dateTime )
  }
  )
}

Using entities:
David Beckham, also known as DB7, Posh 'n' Becks, Golden Balls, Posh and Becks, Posh & Becks (fb:m.02d9k): David Robert Joseph Beckham, OBE is an English former profession...irst British footballer to play 100 UEFA Champions League games., has type Celebrity

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team
To (fb:sports.sports_team_roster.to): part of Sports team roster schema, links to type Date/Time

Example 2:
Question:
who will david beckham play for in 2013?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02d9k ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02d9k fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2013-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2013-01-01" ^^ xsd:dateTime )
  }
  )
}

Using entities:
David Beckham, also known as DB7, Posh 'n' Becks, Golden Balls, Posh and Becks, Posh & Becks (fb:m.02d9k): David Robert Joseph Beckham, OBE is an English former profession...irst British footballer to play 100 UEFA Champions League games., has type Celebrity

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team
To (fb:sports.sports_team_roster.to): part of Sports team roster schema, links to type Date/Time

Example 3:
Question:
who does david beckham play for in 2012?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02d9k ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02d9k fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2012-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2012-01-01" ^^ xsd:dateTime )
  }
  )
}

Using entities:
David Beckham, also known as DB7, Posh 'n' Becks, Golden Balls, Posh and Becks, Posh & Becks (fb:m.02d9k): David Robert Joseph Beckham, OBE is an English former profession...irst British footballer to play 100 UEFA Champions League games., has type Celebrity

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team
To (fb:sports.sports_team_roster.to): part of Sports team roster schema, links to type Date/Time

[Assistant] These examples show that David Beckham is a professional athlete and provide information about the teams he played for during specific years. However, the question asks what sport David Beckham plays, not which team he played for. Let's search for the entity "David Beckham" and then look for the property that indicates his sport.

[Tool]
Top 10 entity alternatives:
1. David Beckham, also known as DB7, Posh 'n' Becks, Golden Balls, Posh and Becks, Posh & Becks (fb:m.02d9k): David Robert Joseph Beckham, OBE is an English former profession...irst British footballer to play 100 UEFA Champions League games., has type Celebrity
2. David Beckham, also known as The Real Housewives of Atlanta, David Beckham, Lady Gaga, former...onaire\" contestant Donald Leake (fb:m.0j940xl): has type TV Episode
3. David Beckham (fb:m.0j61xrm): has type TV Episode
4. David Beckham (fb:m.0xglw04): has type Musical Recording
5. David Beckham (fb:m.0j943qd): The sexiest man in the world is back in L.A.! DAVID BECKHAM reco...today she's got another fun Hasbro game that everyone will love!, has type TV Episode
6. David Beckham (fb:m.07n5tdc): has type TV Episode
7. David Beckham (fb:m.0dn17_j): has type Musical Recording
8. David Beckham (fb:m.0wgkm6r): The Spice boy is probably the most famous football player on the...his first professional contract, this follows a football legend., has type TV Episode
9. David Beckham (fb:m.0jsl5cy): has type TV Episode
10. David Beckham (fb:m.0g51qxd): has type Film character

[Assistant] The top result for "David Beckham" is the correct one. Now let's search for the property that indicates the sport he plays.

[Tool]
Top 10 property alternatives:
1. Sports played (fb:sports.pro_athlete.sports_played_professionally): links to type Sports played, part of Athlete schema
2. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
3. Statistics (fb:soccer.football_player.statistics): links to type Football player stats, part of Football player schema
4. Religion (fb:base.popstra.celebrity.religion): links to type Religion Choice, part of Celebrity schema
5. Religion (fb:people.person.religion): links to type Religion, part of Person schema
6. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
7. World Cup Team (fb:base.x2010fifaworldcupsouthafrica.world_cup_participant.world_cup_team): part of 2010World Cup Athlete schema, links to type World Cup Squad
8. Heat (fb:base.popstra.sww_base.heat): part of sww_base schema, links to type Integer
9. Key (fb:type.object.key): part of Object schema, links to type Key
10. Awards (fb:sports.sports_award_winner.awards): part of Sports League Award Winner schema, links to type Sports League Award

No other items found

[Assistant]
The property "Sports played" seems to be the most relevant for determining the sport David Beckham plays. Let's construct a SPARQL query to retrieve this information.

### Step 1: Simple Query to Retrieve Sport
We'll start with a simple query to see if we can get the sport directly.

```sparql
SELECT ?sport WHERE {
  fb:m.02d9k fb:sports.pro_athlete.sports_played_professionally ?sport .
}
```

Let's execute this query.

[Tool]
Got 1 row and 1 column:
| sport        |
| ------------ |
| fb:m.0d5fbb8 |

[Assistant]
The query returned an identifier for the sport David Beckham plays. To make the answer more human-readable, let's add an optional clause to retrieve the label of the sport.

### Step 2: Add Optional Clause for Label
We'll modify the query to include the label of the sport.

```sparql
SELECT ?sport ?sportLabel WHERE {
  fb:m.02d9k fb:sports.pro_athlete.sports_played_professionally ?sport .
  OPTIONAL { ?sport rdfs:label ?sportLabel . FILTER(LANG(?sportLabel) = 'en') }
}
```

Let's execute this updated query.

[Tool]
Got 1 row and 2 columns:
| sport        | sportLabel |
| ------------ | ---------- |
| fb:m.0d5fbb8 |            |

[Assistant]
It appears that the label for the sport is not available in the Freebase dataset. However, we can still provide the identifier and infer that it likely refers to football (soccer), given David Beckham's well-known career as a football player.

### Final Answer
Since the label is not available, we will provide the identifier and a brief explanation.

```sparql
SELECT ?sport WHERE {
  fb:m.02d9k fb:sports.pro_athlete.sports_played_professionally ?sport .
}
```

David Beckham plays the sport identified by `fb:m.0d5fbb8`, which is likely football (soccer).

Let's finalize the answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is correct, but it would be better to include the label of the sport in the result to make it more user-friendly. Add an OPTIONAL clause to retrieve the rdfs:label of the sport.

[Assistant]
Understood. Let's refine the SPARQL query to include the label of the sport in the result.

### Step 3: Include the Label in the Result
We'll modify the query to include the label of the sport, even if it is not available.

```sparql
SELECT ?sport ?sportLabel WHERE {
  fb:m.02d9k fb:sports.pro_athlete.sports_played_professionally ?sport .
  OPTIONAL { ?sport rdfs:label ?sportLabel . FILTER(LANG(?sportLabel) = 'en') }
}
```

Let's execute this refined query.

[Tool]
Got 1 row and 2 columns:
| sport        | sportLabel |
| ------------ | ---------- |
| fb:m.0d5fbb8 |            |

[Assistant]
The query still returns the identifier for the sport, but the label is not available in the Freebase dataset. However, we can provide the identifier and a note that the label is not available, while also mentioning that it is likely football (soccer) based on common knowledge.

### Final Answer
Let's finalize the answer with the refined query and a more detailed explanation.

```sparql
SELECT ?sport ?sportLabel WHERE {
  fb:m.02d9k fb:sports.pro_athlete.sports_played_professionally ?sport .
  OPTIONAL { ?sport rdfs:label ?sportLabel . FILTER(LANG(?sportLabel) = 'en') }
}
```

David Beckham plays the sport identified by `fb:m.0d5fbb8`. The label for this sport is not available in the Freebase dataset, but it is likely football (soccer) based on common knowledge.

Let's finalize the answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is mostly correct, but it could be improved to ensure that we get the label for the sport. Since the label is not available in the Freebase dataset, we should still try to retrieve it using the `rdfs:label` property without the language filter, as it might exist in another language. Additionally, we can add a `LIMIT 1` clause to ensure we only get one result.

[Assistant]
Understood. Let's refine the SPARQL query to include the label of the sport without the language filter and add a `LIMIT 1` clause to ensure we only get one result.

### Step 4: Remove Language Filter and Add LIMIT Clause
We'll modify the query to remove the language filter and add a `LIMIT 1` clause.

```sparql
SELECT ?sport ?sportLabel WHERE {
  fb:m.02d9k fb:sports.pro_athlete.sports_played_professionally ?sport .
  OPTIONAL { ?sport rdfs:label ?sportLabel }
} LIMIT 1
```

Let's execute this refined query.

[Tool]
Got 1 row and 2 columns:
| sport        | sportLabel |
| ------------ | ---------- |
| fb:m.0d5fbb8 |            |

[Assistant]
The query still returns the identifier for the sport, but the label is not available in the Freebase dataset, even without the language filter. Given this, we can conclude that the label is not present in the dataset.

### Final Answer
Let's finalize the answer with the refined query and a clear explanation.

```sparql
SELECT ?sport ?sportLabel WHERE {
  fb:m.02d9k fb:sports.pro_athlete.sports_played_professionally ?sport .
  OPTIONAL { ?sport rdfs:label ?sportLabel }
} LIMIT 1
```

David Beckham plays the sport identified by `fb:m.0d5fbb8`. The label for this sport is not available in the Freebase dataset, but it is likely football (soccer) based on common knowledge.

Let's finalize the answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?item ?name WHERE {
  fb:m.01vsgrn fb:base.schemastaging.context_name.official_name ?name .
  FILTER ( LANG( ?name ) = 'en' ) BIND( fb:m.01vsgrn AS ?item )
}

Eminem's real full name is Marshall Bruce Mathers III.

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

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

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

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

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

[User] what is eminem's real full name?

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

[Tool]
Example 1:
Question:
what is lil wayne real name?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.016kjs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.016kjs fb:base.schemastaging.context_name.official_name ?x .
}

Using entities:
Lil Wayne, also known as Dwayne Carter, Dwayne Michael Carter Jr., Dwayne Michael Carter, Jr., Lil' Wayne, Lil' Weezy (fb:m.016kjs): Dwayne Michael Carter, Jr., known by his stage name Lil Wayne, i...ce on Destiny's Child's Top 10 single "Soldier", that same year., has type Music video performer

Using properties:
Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text

Example 2:
Question:
what is kareem abdul jabbar real name?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.049sb ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.049sb fb:base.schemastaging.context_name.official_name ?x .
}

Using entities:
Kareem Abdul-Jabbar, also known as Lew, The Big 'A', Lewis Ferdinand Alcindor, Lewis Alcindor, Lew Alcindor (fb:m.049sb): Kareem Abdul-Jabbar is an American retired professional basketba...the first overall pick, Alcindor spent six seasons in Milwaukee., has type Music video performer

Using properties:
Official name (fb:base.schemastaging.context_name.official_name): part of Context name schema, links to type Text

Example 3:
Question:
what was tupac name in juice?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07pzc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07pzc fb:film.actor.film ?y .
  ?y fb:film.performance.character ?x .
  ?y fb:film.performance.film fb:m.08w51z .
}

Using entities:
Tupac Shakur, also known as Lesane Parish Crooks, TuPac, Makaveli, Pac, Tupac Amaru Shakur (fb:m.07pzc): Tupac Amaru Shakur, also known by his stage names 2Pac and Makav...e Black Panther Party, whose ideals were reflected in his songs., has type Celebrity
Juice, also known as Angel Town 2, Watch Juice, Juice - City-War (fb:m.08w51z): Juice is a 1992 American crime drama thriller directed by Ernest... on location in New York City mainly in the Harlem area in 1991., Cinematographer Ernest R. Dickerson directed and co-wrote this c...e has to go along with the robbery, which goes completely wrong., has type Film

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Character (fb:film.performance.character): part of Film performance schema, links to type Film character
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant] From the examples, it seems that the property `fb:base.schemastaging.context_name.official_name` is used to get the official name of a person. Let's search for Eminem's entity in Freebase.

[Tool]
Top 10 entity alternatives:
1. Eminem, also known as Marshall Matters, M. Masters, Mathers, M.B.Mathers III, M&M (fb:m.01vsgrn): Marshall Bruce Mathers III, better known by his stage name Emine...re worldwide successes, with each certified diamond in US sales., has type Musical Artist
2. Michael Clarke, also known as Clarkey, Top Dog, Pup, Nemo, Michael John Clarke (fb:m.03mrdf): Michael John Clarke is an Australian Test cricketer and current ...ralia to a 5–0 whitewash of England in the 2013–14 Ashes series., has type Cricket Bowler
3. Eminem (fb:m.0q5kjn8): has type Musical Recording
4. Cleaning Out My Closet. Eminem - The Stories Behind Every Song, also known as Eminem (fb:m.06s53_m): has type Book
5. Eminem, Mike Tyson, also known as Eminem (fb:m.06ybd53): has type TV Episode
6. Eminem (fb:m.05dmrft): has type TV Episode
7. Eminem (fb:m.0fs8ldn): has type Musical Recording
8. Eminem (fb:m.07k3g3x): has type TV Episode
9. Eminem Eminem (fb:m.019y87t): has type Musical Recording
10. Eminem (fb:m.0q8b3xx): has type Musical Recording

[Assistant] The top result, `fb:m.01vsgrn`, seems to be the correct entity for Eminem. Now let's check if this entity has the property `fb:base.schemastaging.context_name.official_name`.

[Tool]
Got 2 rows and 3 columns:
| subject               | property                                                         | object                          |
| --------------------- | ---------------------------------------------------------------- | ------------------------------- |
| Eminem (fb:m.01vsgrn) | Official name (fb:base.schemastaging.context_name.official_name) | Marshall Bruce Mathers III (en) |
| Eminem (fb:m.01vsgrn) | Official name (fb:base.schemastaging.context_name.official_name) | Marshall Bruce Mathers III (lt) |

[Assistant]
The entity `Eminem (fb:m.01vsgrn)` has the official name `Marshall Bruce Mathers III`.

Now, let's construct the SPARQL query to confirm this:

```sparql
SELECT DISTINCT ?name WHERE {
  fb:m.01vsgrn fb:base.schemastaging.context_name.official_name ?name .
}
```

Let's execute this query to get the result.

[Tool]
Got 2 rows and 1 column:
| name                            |
| ------------------------------- |
| Marshall Bruce Mathers III (en) |
| Marshall Bruce Mathers III (lt) |

[Assistant]
The query confirms that Eminem's real full name is `Marshall Bruce Mathers III`.

Here is the final SPARQL query and answer:

```sparql
SELECT DISTINCT ?name WHERE {
  fb:m.01vsgrn fb:base.schemastaging.context_name.official_name ?name .
}
```

Answer: Eminem's real full name is Marshall Bruce Mathers III.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query returns the correct answer, but it includes language-specific labels which are not necessary for this question. The query should be refined to only return the IRI of the item, and optionally the label in a specific language if needed. Here is a suggestion for the refined query:

```sparql
SELECT DISTINCT ?item ?name WHERE {
  fb:m.01vsgrn fb:base.schemastaging.context_name.official_name ?name .
  BIND(fb:m.01vsgrn AS ?item)
}
```

[Assistant]
Thank you for the feedback. Let's refine the SPARQL query to include the IRI of the item and optionally the label in a specific language if needed.

Here is the refined SPARQL query:

```sparql
SELECT DISTINCT ?item ?name WHERE {
  fb:m.01vsgrn fb:base.schemastaging.context_name.official_name ?name .
  BIND(fb:m.01vsgrn AS ?item)
}
```

Let's execute this refined query to get the result.

[Tool]
Got 2 rows and 2 columns:
| item                  | name                            |
| --------------------- | ------------------------------- |
| Eminem (fb:m.01vsgrn) | Marshall Bruce Mathers III (en) |
| Eminem (fb:m.01vsgrn) | Marshall Bruce Mathers III (lt) |

[Assistant]
The refined query returns the IRI of the item and the official name in different languages. Since the question does not specify a language, we can simplify the query to only return the IRI and the English label.

Here is the final refined SPARQL query:

```sparql
SELECT DISTINCT ?item ?name WHERE {
  fb:m.01vsgrn fb:base.schemastaging.context_name.official_name ?name .
  FILTER(LANG(?name) = 'en')
  BIND(fb:m.01vsgrn AS ?item)
}
```

Let's execute this final refined query to get the result.

[Tool]
Got 1 row and 2 columns:
| item                  | name                            |
| --------------------- | ------------------------------- |
| Eminem (fb:m.01vsgrn) | Marshall Bruce Mathers III (en) |

[Assistant]
The final refined query returns the IRI of the item and the official name in English, which is exactly what we need.

Here is the final SPARQL query and answer:

```sparql
SELECT DISTINCT ?item ?name WHERE {
  fb:m.01vsgrn fb:base.schemastaging.context_name.official_name ?name .
  FILTER(LANG(?name) = 'en')
  BIND(fb:m.01vsgrn AS ?item)
}
```

Answer: Eminem's real full name is Marshall Bruce Mathers III.

Thank you for the feedback, and I hope this refined query meets the requirements.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and returns the expected result. The answer provided is accurate and complete.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?language WHERE {
  fb:m.0jgd fb:location.country.languages_spoken ?language .
}

Got 5 rows and 1 column:
| language                         |
| -------------------------------- |
| Italian Language (fb:m.02bjrlw)  |
| Guaraní language (fb:m.02w_hsv)  |
| Quechuan languages (fb:m.03d9kg) |
| Spanish Language (fb:m.06nm1)    |
| Yiddish Language (fb:m.0880p)    |

The languages spoken in Argentina include Spanish, Italian, Guaraní, Quechuan languages, and Yiddish.

[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 language do speak in argentina?

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

[Tool]
Example 1:
Question:
what is language in argentina?

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

Using entities:
Argentina, also known as Agrentina , Argentine Republic, The Argentine (fb:m.0jgd): Argentina, officially the Argentine Republic, is a federal repub...a federation of provinces with Buenos Aires as its capital city., has type Country

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

Example 2:
Question:
what is language in argentina?

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

Using entities:
Argentina, also known as Agrentina , Argentine Republic, The Argentine (fb:m.0jgd): Argentina, officially the Argentine Republic, is a federal repub...a federation of provinces with Buenos Aires as its capital city., has type Country

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

Example 3:
Question:
what language do argentina use?

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

Using entities:
Argentina, also known as Agrentina , Argentine Republic, The Argentine (fb:m.0jgd): Argentina, officially the Argentine Republic, is a federal repub...a federation of provinces with Buenos Aires as its capital city., has type Country

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

[Assistant] Based on the examples, it seems that we can use either the `fb:location.country.official_language` or `fb:location.country.languages_spoken` property to find the languages spoken in Argentina. Let's first try the `fb:location.country.official_language` property.

[Tool]
Got 1 row and 1 column:
| language                      |
| ----------------------------- |
| Spanish Language (fb:m.06nm1) |

[Assistant] The official language of Argentina is Spanish. However, let's also check if there are any other languages spoken in Argentina using the `fb:location.country.languages_spoken` property.

[Tool]
Got 5 rows and 1 column:
| language                         |
| -------------------------------- |
| Italian Language (fb:m.02bjrlw)  |
| Guaraní language (fb:m.02w_hsv)  |
| Quechuan languages (fb:m.03d9kg) |
| Spanish Language (fb:m.06nm1)    |
| Yiddish Language (fb:m.0880p)    |

[Assistant]
In addition to the official language, Spanish, several other languages are spoken in Argentina, including Italian, Guaraní, Quechuan languages, and Yiddish.

Now, I'll provide the final SPARQL query and the answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query returns the actual identifiers of the languages spoken in Argentina, and the human-readable answer includes all the languages listed in the execution result.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?zipCode WHERE {
  fb:m.0qskp fb:location.citytown.postal_codes ?zipCode .
}

The zip codes for Jonesboro, AR are 72401, 72402, 72403, and 72404.

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

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

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

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

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

[User] what is the zip code for jonesboro ar?

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

[Tool]
Example 1:
Question:
what is the zip code for clarksville tn?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0_w5_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0_w5_ fb:location.citytown.postal_codes ?x .
}

Using entities:
Clarksville, also known as Clarksville, Tennessee, Montgomery County / Clarksville city (fb:m.0_w5_): Clarksville is a city in and the county seat of Montgomery Count...s the base U.S. Post Office is on the Kentucky side of the post., has type City/Town/Village

Using properties:
Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code

Example 2:
Question:
what is the zip code for minneapolis?

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

Using entities:
Minneapolis, also known as Hennepin County / Minneapolis city, Minneapolis, Minnesota (fb:m.0fpzwf): Minneapolis is the county seat of Hennepin County, and larger of...the global economy, Minneapolis is categorized as a global city., has type City/Town/Village

Using properties:
Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code

Example 3:
Question:
what is zip code for davenport iowa?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02d6c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02d6c fb:location.citytown.postal_codes ?x .
}

Using entities:
Davenport, also known as Davenport, Iowa, Scott County / Davenport city (fb:m.02d6c): Davenport is the largest city located along the Mississippi Rive... frequent flooding due to its location on the Mississippi River., has type City/Town/Village

Using properties:
Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code

[Assistant] Based on the examples, we need to identify the entity for Jonesboro, AR and the property for postal codes. Let's first search for the entity representing Jonesboro, AR.

[Tool]
Top 10 entity alternatives:
1. Jonesboro, also known as Craighead County / Jonesboro city, Jonesboro, Arkansas (fb:m.0qskp): Jonesboro is a city in Craighead County, Arkansas, United States... for manufacturing, agriculture, medicine, education, and trade., has type City/Town/Village
2. Jonesboro, AR Metropolitan Statistical Area (fb:m.093xrf): The Jonesboro Metropolitan Statistical Area, as defined by the U...art of the larger Jonesboro-Paragould Combined Statistical Area., has type US Core Based Statistical Area
3. Jonesboro Junction, also known as Jonesboro Junction, Arkansas (fb:m.0487yb5): has type City/Town/Village
4. Arkansas State University, also known as Arkansas State University, main campus, ASU, Arkansas State University, Jonesboro (fb:m.01qv9m): Arkansas State University is a public university and is the flag...nited States. The university marked its centennial year in 2009., has type College/University
5. Jonesborough, also known as Jonesborough, County Armagh (fb:m.0cn5gk): Jonesborough or Jonesboro is a small village and civil parish in...ring area of Dromintee and crosses the county border into Louth., has type City/Town/Village
6. Jonesboro Area Technical Center (fb:m.07699tm): has type School
7. Jonesboro, AR HUD Metro FMR Area (fb:m.075k6_g): has type US Core Based Statistical Area
8. Convocation Center (A-State) Jonesboro AR (fb:m.03s9w_c)
9. Arkansas State University System, also known as Arkansas State University System, Jonesboro (fb:m.02qz4x8): The Arkansas State University System is a collection of ten camp... This move is expected to allow the System more room for growth., has type University system
10. Jonesboro–Paragould combined statistical area (fb:m.02w9nsq): The Jonesboro-Paragould Combined Statistical Area is made up of ...rea. As of the 2010 census, the CSA had a population of 163,116., has type Location

[Assistant]
The top result, "Jonesboro, also known as Craighead County / Jonesboro city, Jonesboro, Arkansas (fb:m.0qskp)", seems to be the correct entity for Jonesboro, AR. Now let's confirm the property for postal codes.

From the examples, it appears that the property `fb:location.citytown.postal_codes` is used to link cities to their postal codes. We can verify this by listing some triples with this property.

[Tool]
Got 38,486 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                                         | object                     |
| ----------------------------- | ------------------------------------------------ | -------------------------- |
| New York City (fb:m.02_286)   | Postal codes (fb:location.citytown.postal_codes) | 11217-1415 (fb:m.0107dzx4) |
| Berlin (fb:m.0156q)           | Postal codes (fb:location.citytown.postal_codes) | 10115–14199 (fb:m.0w2g105) |
| Philadelphia (fb:m.0dclg)     | Postal codes (fb:location.citytown.postal_codes) | 19146 (fb:m.020s_dj)       |
| London (fb:m.04jpl)           | Postal codes (fb:location.citytown.postal_codes) | SW1X 8RN (fb:m.09rzxp9)    |
| Los Angeles (fb:m.030qb3t)    | Postal codes (fb:location.citytown.postal_codes) | 90048 (fb:m.01zb_cm)       |
| Chicago (fb:m.01_d4)          | Postal codes (fb:location.citytown.postal_codes) | 60618 (fb:m.01_6p6k)       |
| Paris (fb:m.05qtj)            | Postal codes (fb:location.citytown.postal_codes) | 75000 (fb:m.0cj58ry)       |
| Washington, D.C. (fb:m.0rh6k) | Postal codes (fb:location.citytown.postal_codes) | 20001 (fb:m.021dj1p)       |
| San Francisco (fb:m.0d6lp)    | Postal codes (fb:location.citytown.postal_codes) | 94133 (fb:m.01zn01v)       |
| Toronto (fb:m.0h7h6)          | Postal codes (fb:location.citytown.postal_codes) | M5J 2T3 (fb:m.052m3dk)     |
| ...                           | ...                                              | ...                        |

[Assistant]
The property `fb:location.citytown.postal_codes` indeed links cities to their postal codes. Now we can construct a SPARQL query to find the zip codes for Jonesboro, AR.

Here is the SPARQL query:

```sparql
SELECT DISTINCT ?zipCode WHERE {
  fb:m.0qskp fb:location.citytown.postal_codes ?zipCode .
}
```

Let's execute this query to get the zip codes for Jonesboro, AR.

[Tool]
Got 4 rows and 1 column:
| zipCode              |
| -------------------- |
| 72401 (fb:m.01z4426) |
| 72404 (fb:m.01z4433) |
| 72403 (fb:m.01z45mm) |
| 72402 (fb:m.07nqgrr) |

[Assistant]
The zip codes for Jonesboro, AR are 72401, 72402, 72403, and 72404.

Here is the final SPARQL query and answer:

```sparql
SELECT DISTINCT ?zipCode WHERE {
  fb:m.0qskp fb:location.citytown.postal_codes ?zipCode .
}
```

Answer: The zip codes for Jonesboro, AR are 72401, 72402, 72403, and 72404.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and returns the expected zip codes for Jonesboro, AR. The query follows the rules and guidelines provided, returning the actual identifiers of the items along with their values. No further refinements are necessary.


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

Got 1 row and 1 column:
| invention              |
| ---------------------- |
| Coca-Cola (fb:m.01yvs) |

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] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
where is jack daniels tennessee whiskey made?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.021zmy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.021zmy fb:distilled_spirits.distillery.region ?x .
}

Using entities:
Jack Daniel's, also known as Alcoholic beverage, distilled, whiskey, 86 proof, Jack Daniel's Tennessee Whiskey (fb:m.021zmy): Jack Daniel's is a brand of Tennessee whiskey and the highest se...uct were sold in the company's fiscal year ended April 30, 2013., has type Brand

Using properties:
Region (fb:distilled_spirits.distillery.region): links to type Spirit-producing region, part of Distillery schema

[Assistant] The example provided does not seem directly relevant to our question about John Pemberton and the drink he created. However, it gives us an idea of how to structure a query when dealing with a person and a product they created. Let's start by searching for John Pemberton in the Freebase knowledge graph.

[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] From the search results, we can see that the first entry, John Pemberton (fb:m.0h24w), is the correct person we are looking for. He is described as the inventor of Coca-Cola. Now, let's confirm that he indeed created Coca-Cola by checking the properties associated with him.

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

No other items found

[Assistant] The property "Inventions" (fb:law.inventor.inventions) seems to be the most relevant for our query. Let's use this property to check what inventions are associated with John Pemberton.

[Tool]
Got 1 row and 1 column:
| invention              |
| ---------------------- |
| Coca-Cola (fb:m.01yvs) |

[Assistant]
The SPARQL query confirms that John Pemberton invented Coca-Cola. Therefore, the drink that John Pemberton created is Coca-Cola.

Let's finalize the answer with the SPARQL query and the result.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies Coca-Cola as the invention of John Pemberton. The query is well-formed and returns the IRI of the invention, which is sufficient for the question asked.