PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?inspirer ?death_date WHERE {
  VALUES ?inspirer {
    fb:m.07g2b fb:m.0465_ fb:m.0154x6 fb:m.05nj0 fb:m.023jy9 fb:m.0249ld fb:m.040dxk fb:m.03p_bz
  }
  ?inspirer fb:people.deceased_person.date_of_death ?death_date .
}
ORDER BY ASC ( ?death_date )
LIMIT 1

John Keats (fb:m.0465_) is the person who inspired F. Scott Fitzgerald and died the earliest, on 1821-02-23.

[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 http://galera:7002

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 inspired Scott Fitzgerald that died the earliest?

[Assistant]
Let's break down the question:

1. We need to identify "Scott Fitzgerald" in Freebase. This likely refers to F. Scott Fitzgerald, the American author.
2. We need to find people who inspired him. So, we need to find a property like "inspired by" or "influenced by" for F. Scott Fitzgerald.
3. For each of these people, we need their date of death.
4. We need to find the one who died the earliest (i.e., the earliest date).

Let's proceed step by step.

First, let's search for "Scott Fitzgerald" in Freebase to get the correct entity.

[Tool]
Top 10 entity alternatives:
1. Scott Fitzgerald, also known as Fitzgerald, Scott (fb:m.01l4km0): Scott Fitzgerald, is a singer and musical actor, who experienced...nd later represented the UK at the 1988 Eurovision Song Contest., has type Musical Artist
2. Scott Fitzgerald, also known as Fitzgerald, Scott (fb:m.03yz5sn): has type Composer
3. Scott Fitzgerald (fb:m.0271sks): Scott Brian Fitzgerald is an English-born Irish football coach, ...–07 season. Fitzgerald is currently academy manager at Millwall., has type Football player
4. Scott Fitzgerald (fb:m.0cmn_x): Scott P. Fitzgerald is an English semi-professional footballer. ...having departed Wealdstone the previous month, but left in 2014., has type Football player
5. Scott L. Fitzgerald, also known as Scott Fitzgerald (fb:m.03nvqsc): Scott L. Fitzgerald is an American politician and one-time newsp...the Wisconsin Senate, representing the 13th District since 1994., has type Politician
6. Scott Fitzgerald (fb:m.0112x3_j): Scott Fitzgerald is an actor, known for the 2009 film Date for Hire., has type Film actor
7. Scott Fitzgerald (fb:m.011lbl4s): Scott Fitzgerald is an English boxer. He won the gold medal in t...d is trained by his father, Dave, who is the owener of the club.
8. Scott Fitzgerald (fb:m.0n96c27): Scott Fitzgerald was the husband of Pam Bondi., has type Person
9. Scott Fitzgerald (fb:m.0bbgzwy): has type Book Edition
10. Scott Fitzgerald (fb:m.0c768hc): has type Book Edition

[Assistant] The search results for "Scott Fitzgerald" do not directly show F. Scott Fitzgerald, the famous American author. To be thorough, let's try searching for "F. Scott Fitzgerald" to ensure we get the correct entity.

[Tool]
Top 10 entity alternatives:
1. F. Scott Fitzgerald, also known as Fitzgerald, F Scott Fitzgerald, Francis Scott Key Fitzgerald (fb:m.02zjd): Francis Scott Key Fitzgerald was an American author of novels an...at treat themes of youth and promise along with age and despair., has type Author
2. F. Scott Fitzgerald (fb:m.08lgkqk): has type Book Edition
3. F. Scott Fitzgerald (fb:m.08lybm0): has type Book Edition
4. F. Scott Fitzgerald (fb:m.0bglw7t): F. Scott Fitzgerald is a fictional character in the 2011 romantic comedy film Midnight in Paris., F. Scott Fitzgerald is a fictional representation of the American writer and novelist., Representation in fiction of the American author., has type Film character
5. F. Scott Fitzgerald (fb:m.0c872v1): has type Book Edition
6. F. Scott Fitzgerald (fb:m.06zf30k): Welcome to scottfitz, a shared, online source of facts and infor...d the world. Join us and be a part of building and improving it!
7. F. Scott Fitzgerald (fb:m.0c651cc): has type Book Edition
8. F. Scott Fitzgerald (fb:m.0c9ggvn): has type Book Edition
9. F. Scott Fitzgerald (fb:m.0c8m6k5): has type Book Edition
10. F. Scott Fitzgerald (fb:m.0c8m6hr): has type Book Edition

[Assistant]
The correct entity for the author F. Scott Fitzgerald is fb:m.02zjd.

Next, we need to find people who inspired F. Scott Fitzgerald. Let's search for properties related to "inspired by" or "influence" for this entity.

[Tool]
Top 10 property alternatives:
1. Influenced (fb:influence.influence_node.influenced): part of Influence Node schema, links to type Influence Node
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Influenced By (fb:influence.influence_node.influenced_by): part of Influence Node schema, links to type Influence Node
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. Type (fb:type.object.type): part of Object schema, links to type Type
6. Quotations (fb:people.person.quotations): links to type Quotation, part of Person schema
7. Category (fb:base.kwebbase.kwtopic.category): part of KWTopic schema, links to type Text
8. Dedications (fb:media_common.dedicator.dedications): links to type Dedication, part of Dedicator schema
9. Has sentences (fb:base.kwebbase.kwtopic.has_sentences): links to type KWSentence, part of KWTopic schema
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Assistant]
The relevant property for people who inspired F. Scott Fitzgerald is "Influenced By" (fb:influence.influence_node.influenced_by).

Now, let's check how this property is used for F. Scott Fitzgerald to get the list of people who inspired him.

[Tool]
Got 8 rows and 3 columns:
| subject                          | property                                                  | object                          |
| -------------------------------- | --------------------------------------------------------- | ------------------------------- |
| F. Scott Fitzgerald (fb:m.02zjd) | Influenced By (fb:influence.influence_node.influenced_by) | T. S. Eliot (fb:m.07g2b)        |
| F. Scott Fitzgerald (fb:m.02zjd) | Influenced By (fb:influence.influence_node.influenced_by) | John Keats (fb:m.0465_)         |
| F. Scott Fitzgerald (fb:m.02zjd) | Influenced By (fb:influence.influence_node.influenced_by) | Edith Wharton (fb:m.0154x6)     |
| F. Scott Fitzgerald (fb:m.02zjd) | Influenced By (fb:influence.influence_node.influenced_by) | Oswald Spengler (fb:m.05nj0)    |
| F. Scott Fitzgerald (fb:m.02zjd) | Influenced By (fb:influence.influence_node.influenced_by) | Sherwood Anderson (fb:m.023jy9) |
| F. Scott Fitzgerald (fb:m.02zjd) | Influenced By (fb:influence.influence_node.influenced_by) | R. D. Blackmore (fb:m.0249ld)   |
| F. Scott Fitzgerald (fb:m.02zjd) | Influenced By (fb:influence.influence_node.influenced_by) | Shane Leslie (fb:m.040dxk)      |
| F. Scott Fitzgerald (fb:m.02zjd) | Influenced By (fb:influence.influence_node.influenced_by) | Sara Murphy (fb:m.03p_bz)       |

[Assistant]
We have the following people who inspired F. Scott Fitzgerald (with their Freebase IDs):

- T. S. Eliot (fb:m.07g2b)
- John Keats (fb:m.0465_)
- Edith Wharton (fb:m.0154x6)
- Oswald Spengler (fb:m.05nj0)
- Sherwood Anderson (fb:m.023jy9)
- R. D. Blackmore (fb:m.0249ld)
- Shane Leslie (fb:m.040dxk)
- Sara Murphy (fb:m.03p_bz)

Next, we need to find the date of death for each of these people. Let's search for a property related to "date of death" for one of these entities, e.g., John Keats (fb:m.0465_).

[Tool]
Top 10 property alternatives:
1. Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death
2. Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location
3. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
4. Place of burial (fb:people.deceased_person.place_of_burial): links to type Place of interment, part of Deceased Person schema
5. Religion (fb:people.person.religion): links to type Religion, part of Person schema
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Category (fb:base.kwebbase.kwtopic.category): part of KWTopic schema, links to type Text
8. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
9. Gender (fb:people.person.gender): part of Person schema, links to type Gender
10. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country

No other items found

[Assistant]
The property for "date of death" is fb:people.deceased_person.date_of_death.

Now, let's construct a SPARQL query that, for each person who inspired F. Scott Fitzgerald, retrieves their date of death and returns the one who died the earliest. We'll also include their label (name) as an optional field.

Let's write the query.

[Tool]
Got 1 row and 3 columns:
| inspirer                | death_date            | earliest_death        |
| ----------------------- | --------------------- | --------------------- |
| John Keats (fb:m.0465_) | 1821-02-23 (xsd:date) | 1821-02-23 (xsd:date) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?college ?label WHERE {
  fb:m.018t67 fb:people.person.education ?edu .
  ?edu fb:education.education.institution ?college .
  ?college fb:organization.organization.date_founded ?founding .
  FILTER ( ?founding < "1821" ^^ xsd:gYear ) OPTIONAL {
    ?college rdfs:label ?label
  }
}

Got 43 rows and 2 columns, showing the first 5 and last 5 rows below:
| college                          | label                      |
| -------------------------------- | -------------------------- |
| Columbia University (fb:m.01w5m) | Columbia Egyetem (hu)      |
| Columbia University (fb:m.01w5m) | Columbian yliopisto (fi)   |
| Columbia University (fb:m.01w5m) | Columbia ülikool (et)      |
| Columbia University (fb:m.01w5m) | Columbia-universiteit (nl) |
| Columbia University (fb:m.01w5m) | Columbia Üniversitesi (tr) |
| ...                              | ...                        |
| Columbia University (fb:m.01w5m) | มหาวิทยาลัยโคลัมเบีย (th)  |
| Columbia University (fb:m.01w5m) | 컬럼비아 대학교 (ko)              |
| Columbia University (fb:m.01w5m) | コロンビア大学 (ja)               |
| Columbia University (fb:m.01w5m) | 哥伦比亚大学 (zh)                |
| Columbia University (fb:m.01w5m) | 哥倫比亞大學 (zh-Hant)           |

Columbia University is the college that Charles Drew attended which was founded before 1821.

[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 http://galera:7002

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 college that was founded before 1821 which Charles Drew attended?

[Assistant]
Let's break down the question:

1. We need to identify "Charles Drew" in Freebase.
2. We need to find the colleges he attended.
3. We need to filter those colleges to only those founded before 1821.

First, let's search for the entity "Charles Drew" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Charles S. Drew, also known as Charles Drew (fb:m.0h3svxc): Charles Stewart Drew, also known as C.S. Drew, was a representat...itory and the other was his report of the Owyhee Reconnaissance., has type Military Person
2. Drew Charles (fb:m.0w8sph3): Drew Charles is a basketball player at UT Arlington Mavericks., has type Basketball Player
3. Charles Drew, also known as Rev. Charles Drew (fb:m.0j_lkl5): Charles Drew is a minister of religion., has type Person
4. Charles Drew (fb:m.0c5298b): has type Author
5. Charles Drew (fb:m.09nhjzz): has type Fictional Character
6. Charles Drew (fb:m.02c2yk4)
7. Charles R. Drew, also known as Dr. Charles R. Drew, Charles Richard Drew (fb:m.018t67): Charles Richard Drew was an American physician, surgeon, and med... lacked scientific foundation, an action which cost him his job., has type Physician
8. Charles Drew Tiene (fb:m.0c4lq05): has type Author
9. Dr. Charles Drew (fb:m.06mf5g6): has type Book
10. Charles Richard Drew (fb:m.0694xkq): has type Book

[Assistant]
The most likely correct entity for the famous physician and medical researcher Charles Drew is "Charles R. Drew" (fb:m.018t67).

Next, I need to find which colleges Charles R. Drew attended. I will search for properties related to "college" or "education" for this entity.

[Tool]
Top 10 property alternatives:
1. Education (fb:people.person.education): links to type Education, part of Person schema
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. Profession (fb:people.person.profession): links to type Profession, part of Person schema
5. Gender (fb:people.person.gender): part of Person schema, links to type Gender
6. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
7. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
8. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
9. Image (fb:common.topic.image): part of Topic schema, links to type Image
10. Description (fb:common.topic.description): part of Topic schema, links to type Text

No other items found

[Assistant]
The relevant property for education is "fb:people.person.education", which links to an Education object. From there, we need to find the institution (college/university) and its founding date.

Next, I will list the properties of the Education object to find how to get the institution and the founding date.

[Tool] Got no rows and 3 columns

[Tool]
No property items found

No other items found

[Tool]
No property items found

No other items found

[Tool]
Got 5 rows and 3 columns:
| subject                       | property                               | object       |
| ----------------------------- | -------------------------------------- | ------------ |
| Charles R. Drew (fb:m.018t67) | Education (fb:people.person.education) | fb:m.02wmxnx |
| Charles R. Drew (fb:m.018t67) | Education (fb:people.person.education) | fb:m.03l72ff |
| Charles R. Drew (fb:m.018t67) | Education (fb:people.person.education) | fb:m.03l72fl |
| Charles R. Drew (fb:m.018t67) | Education (fb:people.person.education) | fb:m.0n0r27v |
| Charles R. Drew (fb:m.018t67) | Education (fb:people.person.education) | fb:m.0n0w451 |

[Assistant]
Charles R. Drew has five education objects associated with him:

- fb:m.02wmxnx
- fb:m.03l72ff
- fb:m.03l72fl
- fb:m.0n0r27v
- fb:m.0n0w451

Now, I need to find the institution (college/university) for each of these education objects. I will list the properties for one of these education objects to see how the institution is represented.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                             |
| ------------ | ------------------------------------------------ | ---------------------------------- |
| fb:m.02wmxnx | Type (fb:type.object.type)                       | Education (fb:education.education) |
| fb:m.02wmxnx | Institution (fb:education.education.institution) | Amherst College (fb:m.0gdm1)       |
| fb:m.02wmxnx | Student (fb:education.education.student)         | Charles R. Drew (fb:m.018t67)      |
| fb:m.02wmxnx | rdf:type                                         | Education (fb:education.education) |

[Assistant]
The property "fb:education.education.institution" links the education object to the institution, in this case, Amherst College (fb:m.0gdm1).

I will now check the institutions for the other four education objects to see which colleges Charles R. Drew attended.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                             |
| ------------ | ------------------------------------------------ | ---------------------------------- |
| fb:m.03l72ff | Type (fb:type.object.type)                       | Education (fb:education.education) |
| fb:m.03l72ff | Institution (fb:education.education.institution) | Columbia University (fb:m.01w5m)   |
| fb:m.03l72ff | Student (fb:education.education.student)         | Charles R. Drew (fb:m.018t67)      |
| fb:m.03l72ff | rdf:type                                         | Education (fb:education.education) |

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                             |
| ------------ | ------------------------------------------------ | ---------------------------------- |
| fb:m.03l72fl | Type (fb:type.object.type)                       | Education (fb:education.education) |
| fb:m.03l72fl | Institution (fb:education.education.institution) | McGill University (fb:m.052nd)     |
| fb:m.03l72fl | Student (fb:education.education.student)         | Charles R. Drew (fb:m.018t67)      |
| fb:m.03l72fl | rdf:type                                         | Education (fb:education.education) |

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                             |
| ------------ | ------------------------------------------------ | ---------------------------------- |
| fb:m.0n0r27v | Type (fb:type.object.type)                       | Education (fb:education.education) |
| fb:m.0n0r27v | Institution (fb:education.education.institution) | Dunbar High School (fb:m.025wt09)  |
| fb:m.0n0r27v | Student (fb:education.education.student)         | Charles R. Drew (fb:m.018t67)      |
| fb:m.0n0r27v | rdf:type                                         | Education (fb:education.education) |

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                                              |
| ------------ | ------------------------------------------------ | --------------------------------------------------- |
| fb:m.0n0w451 | Type (fb:type.object.type)                       | Education (fb:education.education)                  |
| fb:m.0n0w451 | Institution (fb:education.education.institution) | McGill University Faculty of Medicine (fb:m.0b5fng) |
| fb:m.0n0w451 | Student (fb:education.education.student)         | Charles R. Drew (fb:m.018t67)                       |
| fb:m.0n0w451 | rdf:type                                         | Education (fb:education.education)                  |

[Assistant]
The institutions Charles R. Drew attended are:

- Amherst College (fb:m.0gdm1)
- Columbia University (fb:m.01w5m)
- McGill University (fb:m.052nd)
- Dunbar High School (fb:m.025wt09)
- McGill University Faculty of Medicine (fb:m.0b5fng)

Now, I need to find the founding dates for these institutions and filter for those founded before 1821. I'll start by searching for properties related to "founding date" for one of these institutions, such as Amherst College.

[Tool]
Top 10 property alternatives:
1. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Has value (fb:freebase.valuenotation.has_value): part of Value Notation schema, links to type Property
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text
7. Colors (fb:education.educational_institution.colors): part of Educational Institution schema, links to type Color
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Things named after this (fb:symbols.name_source.namesakes): part of Name source schema, links to type Namesake
10. Article (fb:common.topic.article): links to type Document, part of Topic schema

No other items found

[Tool]
Top 10 property alternatives:
1. Date founded (fb:organization.organization.date_founded): part of Organization schema, links to type Date/Time
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. Key (fb:type.object.key): part of Object schema, links to type Key
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Phone number (fb:education.educational_institution.phone_number): part of Educational Institution schema, links to type Phone Number
7. Colors (fb:education.educational_institution.colors): part of Educational Institution schema, links to type Color
8. Has value (fb:freebase.valuenotation.has_value): part of Value Notation schema, links to type Property
9. Article (fb:common.topic.article): links to type Document, part of Topic schema
10. Acceptance rate (fb:education.university.acceptance_rate): part of College/University schema, links to type Acceptance rate

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                      | property                                                 | object           |
| ---------------------------- | -------------------------------------------------------- | ---------------- |
| Amherst College (fb:m.0gdm1) | Date founded (fb:organization.organization.date_founded) | 1821 (xsd:gYear) |

[Tool]
Got 1 row and 3 columns:
| subject                          | property                                                 | object           |
| -------------------------------- | -------------------------------------------------------- | ---------------- |
| Columbia University (fb:m.01w5m) | Date founded (fb:organization.organization.date_founded) | 1754 (xsd:gYear) |

[Tool]
Got 1 row and 3 columns:
| subject                        | property                                                 | object           |
| ------------------------------ | -------------------------------------------------------- | ---------------- |
| McGill University (fb:m.052nd) | Date founded (fb:organization.organization.date_founded) | 1821 (xsd:gYear) |

[Tool]
Got 1 row and 3 columns:
| subject                           | property                                                 | object           |
| --------------------------------- | -------------------------------------------------------- | ---------------- |
| Dunbar High School (fb:m.025wt09) | Date founded (fb:organization.organization.date_founded) | 1870 (xsd:gYear) |

[Tool]
Got 1 row and 3 columns:
| subject                                             | property                                                 | object           |
| --------------------------------------------------- | -------------------------------------------------------- | ---------------- |
| McGill University Faculty of Medicine (fb:m.0b5fng) | Date founded (fb:organization.organization.date_founded) | 1829 (xsd:gYear) |

[Assistant]
Here are the founding years for the institutions Charles R. Drew attended:
- Amherst College: 1821
- Columbia University: 1754
- McGill University: 1821
- Dunbar High School: 1870
- McGill University Faculty of Medicine: 1829

The only institution founded before 1821 is Columbia University (1754).

Now, I will write the final SPARQL query to return the IRI of the college attended by Charles Drew that was founded before 1821, along with its label if available.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?place WHERE {
  fb:m.05g7q fb:people.person.place_of_birth ?place .
}

Nelson Mandela, the public speaker known for speaking against Anti-Apartheid, was raised in Mvezo (his place of birth).

[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 http://galera:7002

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

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

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

[User] Where was the public speaker, known for speaking against Anti-Apartheid, raised?

[Assistant]
Let's break down the question:

1. We are looking for a public speaker who is known for speaking against Anti-Apartheid.
2. We want to know where this person was raised.

Step 1: Identify the public speaker known for speaking against Anti-Apartheid. The most prominent figure fitting this description is Nelson Mandela, but there may be others. Let's search for entities related to "public speaker anti-apartheid".

Step 2: Once we have the entity, we need to find the property for "raised in" or "place raised".

I'll start by searching for entities related to "public speaker anti-apartheid".

[Tool]
Top 10 entity alternatives:
1. Public speaker (fb:event.public_speaker)
2. Public speaker (fb:m.01qdsm): has type Profession
3. Public speaker (fb:m.05kp361): Anyone who has given a speech or made a public presentation, inc...rmons, political orations, commencement speeches, eulogies, etc.
4. Public Speaker (fb:m.0fvytyt): has type Musical Recording
5. Public Speaker (fb:m.0d_9y68): has type Musical Recording
6. Public speaker (fb:m.05kp36g)
7. Public Speaker (fb:m.0v5j415)
8. Public Speaker (fb:m.012tncg2)
9. Public Speaker (fb:m.0m0m4_3)
10. Public Speaker (fb:m.0mtttkt)

[Assistant]
The search for "public speaker anti-apartheid" returned general entities for "public speaker" but not a specific person. Since the question refers to a public speaker known for speaking against Anti-Apartheid, the most globally recognized figure is Nelson Mandela, but there could be others like Desmond Tutu.

To proceed, I will search for entities related to "anti-apartheid activist" to find a specific person who is also a public speaker.

[Tool]
Top 10 entity alternatives:
1. Anti-apartheid activists (fb:m.0bnw86n)
2. Women anti-apartheid activists (fb:m.0bnwg31)
3. Activist (fb:base.activism.activist)
4. Activist (fb:m.0j_7vl6): has type Profession
5. Anti-Apartheid (fb:m.04lxyz0): has type Literature Subject
6. Activist (fb:m.04ch_02)
7. Foad Manshadi, also known as Blogger, Musician, Activist (fb:m.0nb1g7s): Foad Manghouly (Persian: فواد منقولی; born on June 3, 1987) know...nism since his youth. http://en.wikipedia.org/wiki/Foad_Manshadi, Foad Manghouly or simply Foad, is an American entrepreneur, reco...y world music. Foad has practiced vegetarianism since his youth., has type Musical Artist
8. Activist (fb:m.0qykst): has type Musical Recording
9. Activist (fb:m.0skd7rw): has type Musical Recording
10. Activist (fb:m.011m88d): has type Musical Recording

[Assistant]
The top results are group or type entities, not specific people. To find a specific public speaker against Apartheid, I will search for "Nelson Mandela" and check if he is associated with anti-apartheid activism and public speaking. If so, I will then look for his "raised in" or "place raised" property.

Let's search for "Nelson Mandela" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Nelson Mandela, also known as Rolihlahla Dalibhunga Mandela, The father of the Nation, tata, Rolihlahla Mandela, Nelson Rolihlahla Mandela (fb:m.05g7q): Nelson Rolihlahla Mandela was a South African anti-apartheid rev...ning the ANC and becoming a founding member of its Youth League., has type Military Commander
2. Free Nelson Mandela, also known as Nelson Mandela (fb:m.0l0xz1): "Nelson Mandela" is a song written by British musician Jerry Dam...ath, the single re-entered at number 96 on the UK Singles Chart., has type Composition
3. Nelson Mandela (fb:m.0wk87k): has type Musical Recording
4. Nelson Mandela, also known as Nelson Mandela (2002 remaster) (fb:m.0pwlnw): has type Musical Recording
5. Nelson Mandela (fb:m.01ct763): has type Musical Recording
6. Mandela, also known as Nelson Mandela (fb:m.01253bs): has type Musical Recording
7. Nelson Mandela (fb:m.0sm_wj): has type Musical Recording
8. Nelson Mandela (fb:m.06vz1_2): Nelson Mandela is a fictional representation of President Nelson Mandela of South Africa from the 2007 film Goodbye Bafana., Nelson Mandela is a fictional character from the 2009 drama film Invictus and the 2011 film Winnie., Nelson Mandela is a fictional character from the 2013 film Mandela: Long Walk to Freedom., Nelson Mandela is a fictional character in the 1997 film Mandela and de Klerk., Nelson Mandela  is a fictional character from the 2011 drama film Winnie., Nelson Mandela is a fictional character in the 2009 drama film Endgame., Nelson Mandela is a fictional character from the 1987 film Mandela., has type Film character
9. Nelson Mandela (fb:m.0dxxvd6): has type Musical Recording
10. Nelson Mandela (fb:m.08ct9qb): has type Book Edition

[Assistant]
The top result, fb:m.05g7q, is Nelson Mandela, described as a South African anti-apartheid revolutionary and a prominent public figure. This matches the description in the question.

Next, I need to find the property for "raised in" or "place raised" for Nelson Mandela (fb:m.05g7q). I will search for properties related to "raised" for this entity.

[Tool]
Top 10 property alternatives:
1. Influenced (fb:influence.influence_node.influenced): part of Influence Node schema, links to type Influence Node
2. Height (fb:people.person.height_meters): links to type Floating Point Number, part of Person schema
3. Influenced By (fb:influence.influence_node.influenced_by): part of Influence Node schema, links to type Influence Node
4. Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema
5. Parents (fb:people.person.parents): part of Person schema, links to type Person
6. Condition (fb:medicine.notable_person_with_medical_condition.condition): part of Public figure with medical condition schema, links to type Disease or medical condition
7. Subject of (fb:common.topic.subject_of): part of Topic schema, links to type Topic
8. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
9. Profession (fb:people.person.profession): links to type Profession, part of Person schema
10. Has value (fb:freebase.valuenotation.has_value): part of Value Notation schema, links to type Property

No other items found

[Assistant] There is no direct "raised in" or "place raised" property for Nelson Mandela in the top property results. However, sometimes "place of birth" or "hometown" is used as a proxy for "raised in". I will now search for properties related to "birth" for Nelson Mandela to see if there is a relevant property.

[Tool]
Top 10 property alternatives:
1. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
2. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
3. Gender (fb:people.person.gender): part of Person schema, links to type Gender
4. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
5. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
6. Date of burial (fb:people.deceased_person.date_of_burial): part of Deceased Person schema, links to type Date/Time
7. Religion (fb:people.person.religion): links to type Religion, part of Person schema
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Parents (fb:people.person.parents): part of Person schema, links to type Person
10. Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema

No other items found

[Assistant]
The property "place of birth" (fb:people.person.place_of_birth) is available for Nelson Mandela. While not exactly "raised in," it is often used as a proxy when more specific data is unavailable.

I will now write a SPARQL query to retrieve Nelson Mandela's place of birth, including the IRI and label if available.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| place                | placeLabel    |
| -------------------- | ------------- |
| Mvezo (fb:m.02q_z4c) | Mvezo (ca)    |
| Mvezo (fb:m.02q_z4c) | Mvezo (de)    |
| Mvezo (fb:m.02q_z4c) | Mvezo (en)    |
| Mvezo (fb:m.02q_z4c) | Mvezo (es)    |
| Mvezo (fb:m.02q_z4c) | Mvezo (et)    |
| ...                  | ...           |
| Mvezo (fb:m.02q_z4c) | Мфезо (ru)    |
| Mvezo (fb:m.02q_z4c) | במבזו (iw)    |
| Mvezo (fb:m.02q_z4c) | म्वेज़ो (hi)  |
| Mvezo (fb:m.02q_z4c) | 음베조 (ko)      |
| Mvezo (fb:m.02q_z4c) | 牡韋佐 (zh-Hant) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?language WHERE {
  fb:m.027rn fb:location.country.languages_spoken ?language .
  ?language fb:language.human_language.iso_639_2_code "hat" .
}

Got 1 row and 1 column:
| language                     |
| ---------------------------- |
| Haitian Creole (fb:m.02dhwl) |

The language spoken in the Dominican Republic with initials 'hat' is Haitian Creole.

[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 http://galera:7002

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 is spoken in the Dominican Republic with initials hat?

[Assistant]
Let's break down the question:

1. The user is asking about a language spoken in the Dominican Republic, with the initials "hat".
2. I need to identify the entity for the Dominican Republic, then find languages spoken there, and filter for one with initials "hat".

Step 1: Search for the entity "Dominican Republic" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Dominican Republic, also known as República Dominicana (fb:m.027rn): The Dominican Republic is a country on the island of Hispaniola,...y removed by the Haitian government and Dominican slave revolts., has type Country
2. Dominican Republic (fb:m.086c_78): has type Book Edition
3. Dominican Republic (fb:m.0ybwyw7): has type Musical Recording
4. Dominican Republic (fb:m.05dln_l): Grylls has some tips on how to survive the hurricane season and he also eats a tarantula to survive, has type TV Episode
5. Dominican Republic (fb:m.07mqzhw): A woman wants to find a house on the beach in the Dominican Republic., has type TV Episode
6. Dominican Republic, also known as TBD (fb:m.0n4tbww): Nearing toward the end of his final tour, Anthony Bourdain trave...the Caribbean for fresh fish and more in the Dominican Republic., has type TV Episode
7. Dominican Republic (fb:m.0116kn3q): Andi travels to the Dominican Republic where she spends intimate time with each of the three remaining bachelors., has type TV Episode
8. Dominican Republic (fb:m.0qdxlv): has type Musical Recording
9. Dominican Republic (fb:m.07lbffk): has type TV Episode
10. Dominican Republic (fb:m.011nglc8): The Dominican Republic offers perhaps the most exotic adventure experience in the Caribbean., has type TV Episode

[Assistant]
The main entity for the country Dominican Republic is fb:m.027rn.

Next, I need to find languages spoken in the Dominican Republic. I'll look for properties of this entity related to "language".

[Tool]
Top 10 property alternatives:
1. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
2. Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema
3. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Pronunciation (fb:base.schemastaging.context_name.pronunciation): links to type Pronunciation, part of Context name schema
6. Adjectival form (fb:location.location.adjectival_form): part of Location schema, links to type Text
7. Adjectival form (fb:freebase.linguistic_hint.adjectival_form): part of Linguistic hint schema, links to type Text
8. Adjectival form (fb:base.aareas.schema.administrative_area.adjectival_form): part of Administrative Area schema, links to type Text
9. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
10. Continent (fb:base.locations.countries.continent): links to type Continents, part of Countries schema

No other items found

[Assistant]
The relevant properties are:
- fb:location.country.languages_spoken (Languages spoken)
- fb:location.country.official_language (Official Language)

To be comprehensive, I'll use "languages spoken" to get all languages spoken in the Dominican Republic, not just the official one.

Next, I need to find the languages spoken in the Dominican Republic using fb:location.country.languages_spoken.

[Tool]
Got 3 rows and 3 columns:
| subject                         | property                                                | object                        |
| ------------------------------- | ------------------------------------------------------- | ----------------------------- |
| Dominican Republic (fb:m.027rn) | Languages spoken (fb:location.country.languages_spoken) | Spanish Language (fb:m.06nm1) |
| Dominican Republic (fb:m.027rn) | Languages spoken (fb:location.country.languages_spoken) | Haitian Creole (fb:m.02dhwl)  |
| Dominican Republic (fb:m.027rn) | Languages spoken (fb:location.country.languages_spoken) | Samaná English (fb:m.06jsg0)  |

[Assistant]
The languages spoken in the Dominican Republic are:
- Spanish (fb:m.06nm1)
- Haitian Creole (fb:m.02dhwl)
- Samaná English (fb:m.06jsg0)

Now, I need to determine which of these has the initials "hat". "hat" is the ISO 639-2 code for Haitian Creole.

To confirm, I'll look for properties of Haitian Creole related to language codes or initials.

[Tool]
Top 10 property alternatives:
1. Type (fb:type.object.type): part of Object schema, links to type Type
2. ISO 639-2 Code (fb:language.human_language.iso_639_2_code): part of Human Language schema, links to type Enumeration
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. ISO 639-3 Code (fb:language.human_language.iso_639_3_code): part of Human Language schema, links to type Enumeration
5. ISO 639-1 Code (fb:language.human_language.iso_639_1_code): part of Human Language schema, links to type Enumeration
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Document (fb:base.rosetta.languoid.document): links to type Rosetta Document, part of Languoid schema
9. Parent (fb:base.rosetta.languoid.parent): part of Languoid schema, links to type Languoid
10. Short name (fb:base.schemastaging.context_name.short_name): part of Context name schema, links to type Text

No other items found

[Tool]
Got 670 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                                                            | object                                                                            |
| ---------------------------- | ------------------------------------------------------------------- | --------------------------------------------------------------------------------- |
| Haitian Creole (fb:m.02dhwl) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                           |
| Haitian Creole (fb:m.02dhwl) | Key (fb:type.object.key)                                            | /authority/iso/639_1/ht                                                           |
| Haitian Creole (fb:m.02dhwl) | Name (fb:type.object.name)                                          | Bahasa Kreol Haiti (id)                                                           |
| Haitian Creole (fb:m.02dhwl) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%44%3A%29_%43%31%4A%48%44%4A%29_%47%27%4A%2A%4A%29> |
| Haitian Creole (fb:m.02dhwl) | Notable for (fb:common.topic.notable_for)                           | fb:g.125btrjmv                                                                    |
| Haitian Creole (fb:m.02dhwl) | Notable types (fb:common.topic.notable_types)                       | Human Language (fb:m.0358)                                                        |
| Haitian Creole (fb:m.02dhwl) | Description (fb:common.topic.description)                           | A haiti kreol nyelv Haiti hivata..., Kanadában és Franciaországban. (hu)          |
| Haitian Creole (fb:m.02dhwl) | Article (fb:common.topic.article)                                   | fb:m.02dhwx                                                                       |
| Haitian Creole (fb:m.02dhwl) | Also known as (fb:common.topic.alias)                               | Aiysyen (en)                                                                      |
| Haitian Creole (fb:m.02dhwl) | Pronunciation (fb:base.schemastaging.context_name.pronunciation)    | fb:g.125_s2nvr                                                                    |
| ...                          | ...                                                                 | ...                                                                               |

[Tool]
Got 1 row and 3 columns:
| subject                      | property                                                   | object |
| ---------------------------- | ---------------------------------------------------------- | ------ |
| Haitian Creole (fb:m.02dhwl) | ISO 639-2 Code (fb:language.human_language.iso_639_2_code) | hat    |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?language ?label WHERE {
  ?language fb:language.human_language.countries_spoken_in fb:m.02k54 .
  FILTER ( ?language != fb:m.0c4chg ) OPTIONAL {
    ?language rdfs:label ?label .
    FILTER ( lang( ?label ) = 'en' )
  }
}

Got 8 rows and 2 columns:
| language                                       | label                                 |
| ---------------------------------------------- | ------------------------------------- |
| Siwi Language (fb:m.012zfy)                    | Siwi Language (en)                    |
| Modern Standard Arabic (fb:m.025rvv7)          | Modern Standard Arabic (en)           |
| Egyptian Arabic (fb:m.02hx2cr)                 | Egyptian Arabic (en)                  |
| Sa'idi Arabic (fb:m.02hxbhg)                   | Sa'idi Arabic (en)                    |
| Arabic, Sudanese Spoken Language (fb:m.035t_3) | Arabic, Sudanese Spoken Language (en) |
| Bedawi Arabic (fb:m.03wc2kf)                   | Bedawi Arabic (en)                    |
| Nobiin Language (fb:m.051bnt)                  | Nobiin Language (en)                  |
| Arabic Language (fb:m.0jzc)                    | Arabic Language (en)                  |

Other languages spoken in the place (Egypt) that also speaks Domari are: Siwi Language, Modern Standard Arabic, Egyptian Arabic, Sa'idi Arabic, Arabic (Sudanese Spoken Language), Bedawi Arabic, Nobiin Language, and Arabic Language.

[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 http://galera:7002

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 is spoken in the place that also speaks Domari?

[Assistant]
Let's break down the question:

1. We need to find a place where Domari is spoken.
2. Then, we need to find what other language(s) are spoken in that same place.

Step 1: Identify the entity for "Domari" in Freebase.
Step 2: Find the property that links a language to the place(s) where it is spoken.
Step 3: For those places, find all other languages spoken there (excluding Domari itself).

Let's start by searching for the entity "Domari" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Domari Language, also known as Tsigene, Dom, Near-eastern Gypsy, Nawari, Nawar (fb:m.0c4chg): Domari is an Indo-Aryan language, spoken by older Dom people sca... historical and dialectological evaluation of secondary sources., has type Human Language
2. Domari (fb:m.05tpyll)
3. Domari (fb:m.05tpy19)
4. Domari (fb:m.05tpw53)
5. Domari (fb:m.05tpjhh)
6. Domari (fb:m.05tpggy)
7. Domari (fb:m.05tp87t)
8. Domari (fb:m.05tp4cs)
9. Domari (fb:m.05tnw2r)
10. Domari (fb:m.05tntk8)

[Assistant]
The top result for "Domari" is "Domari Language, also known as Tsigene, Dom, Near-eastern Gypsy, Nawari, Nawar" with the Freebase ID fb:m.0c4chg. This is likely the correct entity for the Domari language.

Next, I need to find the property that links a language to the place(s) where it is spoken. I will search for properties related to "spoken" for the Domari language entity.

[Tool]
Top 10 property alternatives:
1. Spoken in countries (fb:language.human_language.countries_spoken_in): part of Human Language schema, links to type Country
2. Pronunciation (fb:base.schemastaging.context_name.pronunciation): links to type Pronunciation, part of Context name schema
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Language Family (fb:language.human_language.language_family): part of Human Language schema, links to type Language Family
5. Languoid Class (fb:base.rosetta.languoid.languoid_class): links to type Languoid Class, part of Languoid schema
6. Parent (fb:base.rosetta.languoid.parent): part of Languoid schema, links to type Languoid
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Description (fb:common.topic.description): part of Topic schema, links to type Text
9. Article (fb:common.topic.article): links to type Document, part of Topic schema
10. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Assistant]
The relevant property is "Spoken in countries" (fb:language.human_language.countries_spoken_in), which links a language to the countries where it is spoken.

Next, I need to:
1. Find the countries where Domari (fb:m.0c4chg) is spoken.
2. For each of those countries, find all other languages spoken there (excluding Domari itself).

To do this, I need to know the inverse property: from a country, how to get all languages spoken there. I'll search for properties related to "language" for a country entity.

[Tool]
No property items found

No other items found

[Assistant]
It seems there is no direct "languages spoken" property for a country entity in Freebase, but since we have the property "Spoken in countries" on the language side, we can reverse the logic:

- For each country where Domari is spoken, find all languages that have that country in their "Spoken in countries" property.

Let's try to construct a SPARQL query that:
1. Finds all countries where Domari is spoken.
2. Finds all languages spoken in those countries (excluding Domari itself).

I'll write an initial query to test this logic.

[Tool]
Got 1 row and 1 column:
| country            |
| ------------------ |
| Egypt (fb:m.02k54) |

[Assistant]
Domari is spoken in Egypt (fb:m.02k54).

Now, I need to find all languages that are spoken in Egypt, using the property "Spoken in countries" (fb:language.human_language.countries_spoken_in), and exclude Domari itself (fb:m.0c4chg).

I'll write a query to get all languages spoken in Egypt, excluding Domari.

[Tool]
Got 8 rows and 1 column:
| language                                       |
| ---------------------------------------------- |
| Siwi Language (fb:m.012zfy)                    |
| Modern Standard Arabic (fb:m.025rvv7)          |
| Egyptian Arabic (fb:m.02hx2cr)                 |
| Sa'idi Arabic (fb:m.02hxbhg)                   |
| Arabic, Sudanese Spoken Language (fb:m.035t_3) |
| Bedawi Arabic (fb:m.03wc2kf)                   |
| Nobiin Language (fb:m.051bnt)                  |
| Arabic Language (fb:m.0jzc)                    |

[Tool]
Got 135 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                    | label            |
| --------------------------- | ---------------- |
| Siwi Language (fb:m.012zfy) | Idioma siwi (es) |
| Siwi Language (fb:m.012zfy) | Język siwi (pl)  |
| Siwi Language (fb:m.012zfy) | Lingua siwi (it) |
| Siwi Language (fb:m.012zfy) | Língua siwi (pt) |
| Siwi Language (fb:m.012zfy) | Siwi (de)        |
| ...                         | ...              |
| Arabic Language (fb:m.0jzc) | ภาษาอาหรับ (th)  |
| Arabic Language (fb:m.0jzc) | 아랍어 (ko)         |
| Arabic Language (fb:m.0jzc) | アラビア語 (ja)       |
| Arabic Language (fb:m.0jzc) | 阿拉伯語 (zh-Hant)   |
| Arabic Language (fb:m.0jzc) | 阿拉伯语 (zh)        |

[Tool]
Got 8 rows and 2 columns:
| language                                       | label                                 |
| ---------------------------------------------- | ------------------------------------- |
| Siwi Language (fb:m.012zfy)                    | Siwi Language (en)                    |
| Modern Standard Arabic (fb:m.025rvv7)          | Modern Standard Arabic (en)           |
| Egyptian Arabic (fb:m.02hx2cr)                 | Egyptian Arabic (en)                  |
| Sa'idi Arabic (fb:m.02hxbhg)                   | Sa'idi Arabic (en)                    |
| Arabic, Sudanese Spoken Language (fb:m.035t_3) | Arabic, Sudanese Spoken Language (en) |
| Bedawi Arabic (fb:m.03wc2kf)                   | Bedawi Arabic (en)                    |
| Nobiin Language (fb:m.051bnt)                  | Nobiin Language (en)                  |
| Arabic Language (fb:m.0jzc)                    | Arabic Language (en)                  |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?country WHERE {
  ?country fb:location.country.iso_numeric 100
}

There is no country in Freebase with the ISO numeric value of 100, nor any close to it. I checked the property fb:location.country.iso_numeric and found no matching or nearby values. Therefore, I cannot answer the question as stated with the available data.

[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 http://galera:7002

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] Which country with the ISO number of 100 is located in Eastern Europe?

[Assistant]
Let's break down the question:

1. We are looking for a country entity.
2. The country should have an ISO number of 100.
3. The country should be located in Eastern Europe.

First, I will search for properties related to "ISO number" for countries in Freebase to identify the correct property to use.

[Tool]
Top 10 property alternatives:
1. ISO Numeric (fb:location.country.iso_numeric): links to type Enumeration, part of Country schema
2. ISO country (fb:base.aareas.schema.administrative_area.iso_country): part of Administrative Area schema, links to type ISO Country
3. ISO country (fb:base.aareas.schema.administrative_area_type.iso_country): part of Type of Administrative Area schema, links to type ISO Country
4. Version number (fb:base.schemastaging.application_version.number): links to type Machine readable string, part of Application version schema
5. Version Number (fb:computer.operating_system.version_number): part of Operating System schema, links to type Text
6. ISO settings (fb:digicams.digital_camera.iso_setting): links to type Camera ISO Capability, part of Digital Camera schema
7. Product number (fb:business.consumer_product.product_number): links to type Machine readable string, part of Consumer product schema
8. ISO639 (fb:type.lang.iso639): links to type Enumeration, part of Language schema
9. ISO 639-1 Code (fb:language.human_language.iso_639_1_code): part of Human Language schema, links to type Enumeration
10. Catalog Number (fb:user.lojinx.default_domain.lojinx_release.catalog_number): part of Music Release schema, links to type Text

[Assistant]
The most relevant property for "ISO number" for countries is `fb:location.country.iso_numeric`.

Next, I will search for the country entity that has an ISO numeric value of 100.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that there are no countries in Freebase with the ISO numeric value of 100. To ensure accuracy, I will check if the ISO numeric property uses a string or another datatype instead of an integer, and also check for possible formatting issues (e.g., leading zeros).

Let me list a few example values for the property `fb:location.country.iso_numeric` to see its format.

[Tool]
Got 247 rows and 3 columns, showing the first 10 rows below:
| subject                                | property                                      | object |
| -------------------------------------- | --------------------------------------------- | ------ |
| United States of America (fb:m.09c7w0) | ISO Numeric (fb:location.country.iso_numeric) | 840    |
| Italy (fb:m.03rjj)                     | ISO Numeric (fb:location.country.iso_numeric) | 380    |
| United Kingdom (fb:m.07ssc)            | ISO Numeric (fb:location.country.iso_numeric) | 826    |
| India (fb:m.03rk0)                     | ISO Numeric (fb:location.country.iso_numeric) | 356    |
| Germany (fb:m.0345h)                   | ISO Numeric (fb:location.country.iso_numeric) | 276    |
| Japan (fb:m.03_3d)                     | ISO Numeric (fb:location.country.iso_numeric) | 392    |
| Poland (fb:m.05qhw)                    | ISO Numeric (fb:location.country.iso_numeric) | 616    |
| Indonesia (fb:m.03ryn)                 | ISO Numeric (fb:location.country.iso_numeric) | 360    |
| Spain (fb:m.06mkj)                     | ISO Numeric (fb:location.country.iso_numeric) | 724    |
| Canada (fb:m.0d060g)                   | ISO Numeric (fb:location.country.iso_numeric) | 124    |
| ...                                    | ...                                           | ...    |

[Assistant]
The ISO numeric values are stored as integers, and there is no formatting issue. Since there was no country with the ISO numeric value 100, I will double-check by searching for countries with ISO numeric values close to 100, in case of a data entry issue or a different value.

I will list all countries with ISO numeric values between 90 and 110.

[Tool] Got no rows and 2 columns

[Assistant]
There are no countries in Freebase with an ISO numeric value of 100, nor any close to it (between 90 and 110). This suggests that either the ISO numeric value is incorrect or not present in the Freebase data.

Given this, I cannot find a country in Freebase with ISO number 100 located in Eastern Europe, as requested. If you have another identifier or additional information, I can try searching with that.

Let me know if you want to try a different approach or have more details!

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?country ?countryLabel WHERE {
  fb:m.0b393 fb:government.political_appointer.appointees ?position .
  ?position fb:government.government_position_held.office_holder ?appointee .
  ?position fb:government.government_position_held.jurisdiction_of_office ?country .
  OPTIONAL {
    ?country fb:type.object.name ?countryLabel
  }
}

Got 44 rows and 2 columns, showing the first 5 and last 5 rows below:
| country                   | countryLabel           |
| ------------------------- | ---------------------- |
| Nazi Germany (fb:m.059z0) | Alemanha Nazi (pt-PT)  |
| Nazi Germany (fb:m.059z0) | Alemanha Nazista (pt)  |
| Nazi Germany (fb:m.059z0) | Alemania nazi (es)     |
| Nazi Germany (fb:m.059z0) | Alemania nazi (es-419) |
| Nazi Germany (fb:m.059z0) | Alemanyang Nazi (fil)  |
| ...                       | ...                    |
| Nazi Germany (fb:m.059z0) | นาซีเยอรมนี (th)       |
| Nazi Germany (fb:m.059z0) | 나치 독일 (ko)             |
| Nazi Germany (fb:m.059z0) | ナチス・ドイツ (ja)           |
| Nazi Germany (fb:m.059z0) | 納粹德國 (zh-Hant)         |
| Nazi Germany (fb:m.059z0) | 纳粹德国 (zh)              |

Paul von Hindenburg's political appointee controlled Nazi Germany.

[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 http://galera:7002

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] Which country did Paul von Hindenburg's political appointee control?

[Assistant]
Let's break down the question:

1. The question is about "Paul von Hindenburg's political appointee" and which country that appointee controlled.
2. We need to identify:
   - Paul von Hindenburg (the person)
   - His political appointee(s)
   - The country that the appointee controlled (likely as a head of state or government)

First, let's search for "Paul von Hindenburg" in Freebase to get his entity.

[Tool]
Top 10 entity alternatives:
1. Paul von Hindenburg, also known as Generalfeldmarschall von Hindenburg, Hindenburg, Paul Ludwig Hans Anton von Beneckendorff und von Hindenburg (fb:m.0b393): Paul Ludwig Hans Anton von Beneckendorff und von Hindenburg, kno...pointed Nazi Party leader Adolf Hitler as Chancellor of Germany., has type Politician
2. Von Hindenburg, also known as Reichspräsident von Hindenburg, President Paul von Hindenburg, Paul von Hindenburgh, Paul von Hindenburg, Hindenburg (fb:m.0v9n35z): Von Hindenburg is a fictional representation of the second President of Germany, Paul von Hindenburg., has type Film character
3. Paul von Hindenburg (fb:m.02blr55)
4. Paul von Hindenburg (fb:m.09p39zp): has type Fictional Character
5. Paul von Hindenburg (fb:m.07r_1bn)
6. Paul von Hindenburg Gw hindenburg 01 (fb:m.0fsw0y8)
7. Liebermann portret van Paul von Hindenburg (fb:m.05mbwf2)
8. hermann goering manipulated paul von hindenburg (fb:m.0c1by3h)
9. paul von hindenburg appointed franz von papen (fb:m.0c1b_8x)
10. paul von hindenburg appointed hermann goering (fb:m.0c1b_95)

[Assistant]
The most relevant entity for Paul von Hindenburg is fb:m.0b393, which matches his full name and description as the President of Germany who appointed Adolf Hitler as Chancellor.

Next, we need to find his "political appointee(s)". The most famous is Adolf Hitler, but to be thorough, let's search for properties related to "appointee" or "appointment" for Paul von Hindenburg in Freebase.

[Tool]
Top 10 property alternatives:
1. Appointees (fb:government.political_appointer.appointees): links to type Government Position Held, part of Political Appointer schema
2. Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
3. Profession (fb:people.person.profession): links to type Profession, part of Person schema
4. Belongs to Order (fb:royalty.chivalric_order_member.belongs_to_order): links to type Chivalric Order Membership, part of Chivalric Order Member schema
5. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
6. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
7. Name (fb:type.object.name): part of Object schema, links to type Text
8. Key (fb:type.object.key): part of Object schema, links to type Key
9. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
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 "Appointees" (fb:government.political_appointer.appointees) is directly relevant. This should link Paul von Hindenburg to the people he appointed to government positions.

Next, let's list the values for this property for Paul von Hindenburg to see who his appointees were.

[Tool]
Got 1 row and 3 columns:
| subject                          | property                                                  | object       |
| -------------------------------- | --------------------------------------------------------- | ------------ |
| Paul von Hindenburg (fb:m.0b393) | Appointees (fb:government.political_appointer.appointees) | fb:m.08_ksdj |

[Tool]
Got 9 rows and 3 columns:
| subject      | property                                                                                | object                                                            |
| ------------ | --------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.08_ksdj | Type (fb:type.object.type)                                                                    | Government Position Held (fb:government.government_position_held) |
| fb:m.08_ksdj | Officeholder (fb:government.government_position_held.office_holder)                           | Adolf Hitler (fb:m.07_m9_)                                        |
| fb:m.08_ksdj | From (fb:government.government_position_held.from)                                            | 1933-01-30 (xsd:date)                                             |
| fb:m.08_ksdj | Office, position, or title (fb:government.government_position_held.office_position_or_title)  | Chancellor of Germany (fb:m.0gg0l)                                |
| fb:m.08_ksdj | Basic title (fb:government.government_position_held.basic_title)                              | Chancellor (fb:m.01fch0)                                          |
| fb:m.08_ksdj | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)        | Nazi Germany (fb:m.059z0)                                         |
| fb:m.08_ksdj | To (fb:government.government_position_held.to)                                                | 1945-04-30 (xsd:date)                                             |
| fb:m.08_ksdj | Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by) | Paul von Hindenburg (fb:m.0b393)                                  |
| fb:m.08_ksdj | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Tool]
Got 2,117 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                                                            | object                                                                     |
| ------------------------- | ------------------------------------------------------------------- | -------------------------------------------------------------------------- |
| Nazi Germany (fb:m.059z0) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                    |
| Nazi Germany (fb:m.059z0) | Key (fb:type.object.key)                                            | /en/nazi_germany                                                           |
| Nazi Germany (fb:m.059z0) | Name (fb:type.object.name)                                          | Alemanha Nazi (pt-PT)                                                      |
| Nazi Germany (fb:m.059z0) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%23%44%45%27%46%4A%27_%27%44%46%27%32%4A%29> |
| Nazi Germany (fb:m.059z0) | Notable for (fb:common.topic.notable_for)                           | fb:g.125h50rsf                                                             |
| Nazi Germany (fb:m.059z0) | Notable types (fb:common.topic.notable_types)                       | Country (fb:m.01mp)                                                        |
| Nazi Germany (fb:m.059z0) | Description (fb:common.topic.description)                           | A Harmadik Birodalom a nemzetisz...oz való visszatérést sugalmazza. (hu)   |
| Nazi Germany (fb:m.059z0) | Article (fb:common.topic.article)                                   | fb:m.059zb                                                                 |
| Nazi Germany (fb:m.059z0) | Also known as (fb:common.topic.alias)                               | Al Treilea Imperiu (ro)                                                    |
| Nazi Germany (fb:m.059z0) | Contained by (fb:location.location.containedby)                     | Europe (fb:m.02j9z)                                                        |
| ...                       | ...                                                                 | ...                                                                        |

[Tool] Got no rows and 3 columns

[Tool]
Got 2,117 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                                                            | object                                                                     |
| ------------------------- | ------------------------------------------------------------------- | -------------------------------------------------------------------------- |
| Nazi Germany (fb:m.059z0) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                    |
| Nazi Germany (fb:m.059z0) | Key (fb:type.object.key)                                            | /en/nazi_germany                                                           |
| Nazi Germany (fb:m.059z0) | Name (fb:type.object.name)                                          | Alemanha Nazi (pt-PT)                                                      |
| Nazi Germany (fb:m.059z0) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%23%44%45%27%46%4A%27_%27%44%46%27%32%4A%29> |
| Nazi Germany (fb:m.059z0) | Notable for (fb:common.topic.notable_for)                           | fb:g.125h50rsf                                                             |
| Nazi Germany (fb:m.059z0) | Notable types (fb:common.topic.notable_types)                       | Country (fb:m.01mp)                                                        |
| Nazi Germany (fb:m.059z0) | Description (fb:common.topic.description)                           | A Harmadik Birodalom a nemzetisz...oz való visszatérést sugalmazza. (hu)   |
| Nazi Germany (fb:m.059z0) | Article (fb:common.topic.article)                                   | fb:m.059zb                                                                 |
| Nazi Germany (fb:m.059z0) | Also known as (fb:common.topic.alias)                               | Al Treilea Imperiu (ro)                                                    |
| Nazi Germany (fb:m.059z0) | Contained by (fb:location.location.containedby)                     | Europe (fb:m.02j9z)                                                        |
| ...                       | ...                                                                 | ...                                                                        |

[Tool]
Got 44 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                   | object                             |
| ------------------------- | -------------------------- | ---------------------------------- |
| Nazi Germany (fb:m.059z0) | Name (fb:type.object.name) | Alemanha Nazi (pt-PT)              |
| Nazi Germany (fb:m.059z0) | Name (fb:type.object.name) | Alemanha Nazista (pt)              |
| Nazi Germany (fb:m.059z0) | Name (fb:type.object.name) | Alemania nazi (es)                 |
| Nazi Germany (fb:m.059z0) | Name (fb:type.object.name) | Alemania nazi (es-419)             |
| Nazi Germany (fb:m.059z0) | Name (fb:type.object.name) | Alemanyang Nazi (fil)              |
| Nazi Germany (fb:m.059z0) | Name (fb:type.object.name) | Deutsches Reich 1933 bis 1945 (de) |
| Nazi Germany (fb:m.059z0) | Name (fb:type.object.name) | Đức Quốc Xã (vi)                   |
| Nazi Germany (fb:m.059z0) | Name (fb:type.object.name) | Germania Nazista (it)              |
| Nazi Germany (fb:m.059z0) | Name (fb:type.object.name) | Germania nazistă (ro)              |
| Nazi Germany (fb:m.059z0) | Name (fb:type.object.name) | Harmadik Birodalom (hu)            |
| ...                       | ...                        | ...                                |

[Tool]
Got 1 row and 3 columns:
| subject                   | property                                      | object              |
| ------------------------- | --------------------------------------------- | ------------------- |
| Nazi Germany (fb:m.059z0) | Notable types (fb:common.topic.notable_types) | Country (fb:m.01mp) |

[Tool]
Got 298 rows and 3 columns, showing the first 10 rows below:
| subject             | property                                               | object                                                                   |
| ------------------- | ------------------------------------------------------ | ------------------------------------------------------------------------ |
| Country (fb:m.01mp) | Type (fb:type.object.type)                             | Type (fb:type.type)                                                      |
| Country (fb:m.01mp) | Key (fb:type.object.key)                               | /location/country                                                        |
| Country (fb:m.01mp) | Name (fb:type.object.name)                             | Bansa (fil)                                                              |
| Country (fb:m.01mp) | Description (fb:common.topic.description)              | The type country in Freebase can...nomy will be typed as a country. (en) |
| Country (fb:m.01mp) | Permission (fb:type.object.permission)                 | fb:m.014h                                                                |
| Country (fb:m.01mp) | Article (fb:common.topic.article)                      | fb:m.03q0typ                                                             |
| Country (fb:m.01mp) | Also known as (fb:common.topic.alias)                  | Cesarstwo (pl)                                                           |
| Country (fb:m.01mp) | ID (fb:type.object.id)                                 | /location/country                                                        |
| Country (fb:m.01mp) | Best HRID (fb:freebase.object_hints.best_hrid)         | /location/country                                                        |
| Country (fb:m.01mp) | Included Types (fb:freebase.type_hints.included_types) | Topic (fb:m.01c5)                                                        |
| ...                 | ...                                                    | ...                                                                      |

[Assistant]
We have confirmed that:
- Paul von Hindenburg (fb:m.0b393) appointed Adolf Hitler (fb:m.07_m9_) to the position of Chancellor of Germany (fb:m.0gg0l).
- The jurisdiction of that office was "Nazi Germany" (fb:m.059z0), which is typed as a "Country" (fb:m.01mp).

Now, let's construct a SPARQL query that answers: "Which country did Paul von Hindenburg's political appointee control?"
We will return the IRI of the country and its label (if available).

Here is the final SPARQL query:

[Tool] Stopped generation process