PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?person WHERE {
  fb:m.0bwfn fb:organization.organization.founders ?person .
  ?person fb:government.politician.government_positions_held ?position .
  ?position fb:government.government_position_held.from ?startDate .
  FILTER ( ?startDate < "1795-04-03" ^^ xsd:date )
}

Albert Gallatin

[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 governmental officer prior to 3-4-1795 and founded New York University?

[Assistant]
To answer this question, we need to identify the person who was a governmental officer before April 3, 1795, and also founded New York University. Let's break down the steps:

1. Identify the person who founded New York University.
2. Verify if this person was a governmental officer before April 3, 1795.

First, let's search for the founder of New York University.

[Tool]
No entity items found

No other items found

[Assistant]
It seems that the search did not return any results for the founder of New York University. Let's try a different approach by directly searching for New York University and then finding its founder.

I will first look for the entity representing New York University in Freebase.

[Tool] Invalid SPARQL query: Variable ?search must occurr in the WHERE clause at least once

[Assistant]
I made a mistake in the SPARQL query. The `?search` variable should be included in the WHERE clause. Let me correct that and try again.

I will search for the entity representing New York University in Freebase.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
Got more than the maximum supported number of subject candidates (131,072)

Top 10 entity alternatives:
1. New York University, also known as New York University, main campus, New York University, New York City, NYU (fb:m.0bwfn): New York University is a private, nonsectarian American research...eering members among its past and present graduates and faculty., College/University
2. New York University (fb:m.05wgs8x): Author
3. New York University Press (fb:m.02pnxch): New York University Press is a university press that is part of New York University., Publisher
4. University Gardens, also known as Nassau County / University Gardens CDP, University Gardens, New York (fb:m.0y3ct): University Gardens is a hamlet and census-designated place and p... a community in the western part of the Town of North Hempstead., US Census Designated Place
5. New York University Shanghai (fb:m.0j9n5bd): New York University Shanghai is jointly established by New York ...ependent registration status from China's Ministry of Education., College/University
6. NYU Violets, also known as New York University Violets (fb:m.02r119s): NYU Violets is the nickname of the sports teams and other compet... 23 varsity sports, as well as intramural sports and club teams.
7. University Heights, also known as University Heights, The Bronx, University Heights, New York, University Heights, Bronx (fb:m.07sxvt): University Heights is a neighborhood of the West Bronx in New Yo...perating along Jerome Avenue. ZIP codes include 10453 and 10468., Neighborhood
8. Syracuse University, New York (fb:m.06w_wr_): The Limeliters: ""There's A Meetin' Here Tonight,"" ""Wabash Can...me in the Room""   FINALE: ""Down By the Riverside"" (Everyone)., TV Episode
9. New York University Skopje (fb:m.0cpdy3h): College/University
10. New York University Archives (fb:m.0fp_hjn): The New York University Archives has served, since 1977, as the ...ional papers of New York University faculty; Special Collections

No other items found

[Assistant]
The search returned several results, and the most relevant one is the first item: "New York University" (fb:m.0bwfn).

Next, I will find the founder of New York University by looking for the property that indicates the founder or founding person.

Let's search for the founder of New York University.

[Tool]
No entity items found

No other items found

No literal items found

[Assistant]
It seems that the property `fb:founding.founded_by` does not exist for New York University in Freebase. Let's try another approach by looking for the founder through other properties or relationships.

I will list the triples for New York University to see if there are any other properties that might indicate the founder.

[Tool]
Got 4,329 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                                                            | object                                                               |
| -------------------------------- | ------------------------------------------------------------------- | -------------------------------------------------------------------- |
| New York University (fb:m.0bwfn) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                              |
| New York University (fb:m.0bwfn) | Key (fb:type.object.key)                                            | /authority/daylife/topic/0axUeGW2I14k9                               |
| New York University (fb:m.0bwfn) | Name (fb:type.object.name)                                          | "New York-i Egyetem"@hu                                              |
| New York University (fb:m.0bwfn) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%2C%27%45%39%29_%46%4A%48%4A%48%31%43> |
| New York University (fb:m.0bwfn) | Notable for (fb:common.topic.notable_for)                           | fb:g.125fszpdz                                                       |
| New York University (fb:m.0bwfn) | Notable types (fb:common.topic.notable_types)                       | College/University (fb:m.01y2hnl)                                    |
| New York University (fb:m.0bwfn) | Description (fb:common.topic.description)                           | "A New York Egyetem amerikai ide... leggazdagabb egyeteme volt."@hu  |
| New York University (fb:m.0bwfn) | Article (fb:common.topic.article)                                   | fb:m.0bwfy                                                           |
| New York University (fb:m.0bwfn) | Also known as (fb:common.topic.alias)                               | "New York University"@el                                             |
| New York University (fb:m.0bwfn) | Has value (fb:freebase.valuenotation.has_value)                     | International tuition (fb:m.0h5tn32)                                 |
| ...                              | ...                                                                 | ...                                                                  |

[Assistant]
The list of triples for New York University does not contain any direct information about the founder. However, we can try to find the founder by looking for the establishment date and then checking if there are any notable people associated with that time period.

Let's first find the establishment date of New York University.

[Tool]
Top 10 property alternatives:
1. Date founded (fb:organization.organization.date_founded): Organization, Date/Time
2. Registered with (fb:organization.non_profit_organization.registered_with): Non-profit registration, Nonprofit organization
3. Headquarters (fb:organization.organization.headquarters): Organization, Address
4. Contained by (fb:location.location.containedby): Location
5. Also known as (fb:common.topic.alias): Topic, Text
6. Founders (fb:organization.organization.founders): Organization founder, Organization
7. Endowment (fb:organization.endowed_organization.endowment): Endowed Organization, Dated Money Value
8. Educational institution (fb:education.educational_institution_campus.educational_institution): Educational Institution Campus, Educational Institution
9. Member of (fb:organization.organization_member.member_of): Organization membership, Organization member
10. Organizations with this scope (fb:organization.organization_scope.organizations_with_this_scope): Organization scope, Organization

No other items found

[Assistant]
The search returned several properties, and the most relevant one for finding the establishment date is `fb:organization.organization.date_founded`.

Let's retrieve the establishment date of New York University using this property.

[Tool]
Got 1 row and 1 column:
| ?date |
| ----- |
| 1831  |

[Assistant]
New York University was founded in 1831. Now, we need to find the founder of New York University. Since the direct property `fb:organization.organization.founders` was listed in the previous search, let's use it to find the founder.

I will execute a query to find the founder of New York University.

[Tool]
Got 2 rows and 1 column:
| ?founder                           |
| ---------------------------------- |
| Albert Gallatin (fb:m.01p369)      |
| Mordecai Manuel Noah (fb:m.05m665) |

[Assistant]
The founders of New York University are Albert Gallatin (fb:m.01p369) and Mordecai Manuel Noah (fb:m.05m665).

Next, we need to verify if either of these individuals was a governmental officer before April 3, 1795. Let's start with Albert Gallatin, as he is a more prominent historical figure.

I will check if Albert Gallatin held a governmental position before April 3, 1795.

[Tool]
Top 10 property alternatives:
1. Government Positions Held (fb:government.politician.government_positions_held): Government Position Held, Politician
2. Profession (fb:people.person.profession): Profession, Person
3. Country of nationality (fb:people.person.nationality): Country, Person
4. Place of birth (fb:people.person.place_of_birth): Location, Person
5. Image (fb:common.topic.image): Topic, Image
6. Key (fb:type.object.key): Object, Key
7. Date of birth (fb:people.person.date_of_birth): Date/Time, Person
8. Date of death (fb:people.deceased_person.date_of_death): Deceased Person, Date/Time
9. Place of death (fb:people.deceased_person.place_of_death): Deceased Person, Location
10. Spouse (or domestic partner) (fb:people.person.spouse_s): Marriage, Person

No other items found

[Assistant]
The search returned the property `fb:government.politician.government_positions_held`, which is relevant for finding out if Albert Gallatin held a governmental position. Let's retrieve the governmental positions held by Albert Gallatin and check the dates.

I will execute a query to find the governmental positions held by Albert Gallatin and their dates.

[Tool]
Got 3 rows and 3 columns:
| ?position    | ?startDate | ?endDate |
| ------------ | ---------- | -------- |
| fb:m.04kq1pk |            |          |
| fb:m.09rfklv |            |          |
| fb:m.0m1qpm6 |            |          |

[Assistant]
The query returned three governmental positions held by Albert Gallatin, but the start and end dates are not provided. To get more details about these positions, we need to look up the specific positions themselves.

Let's list the triples for each of these positions to find more information, including the dates if available.

I will start with the first position (fb:m.04kq1pk).

[Tool]
Got 10 rows and 3 columns:
| subject      | property                                                                                | object                                                            |
| ------------ | --------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.04kq1pk | Type (fb:type.object.type)                                                                                | Government Position Held (fb:government.government_position_held) |
| fb:m.04kq1pk | Officeholder (fb:government.government_position_held.office_holder)                                       | Albert Gallatin (fb:m.01p369)                                     |
| fb:m.04kq1pk | Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body) | United States Department of the Treasury (fb:m.0f1r9)             |
| fb:m.04kq1pk | From (fb:government.government_position_held.from)                                                        | 1801-05-14                                                        |
| fb:m.04kq1pk | Office, position, or title (fb:government.government_position_held.office_position_or_title)              | United States Secretary of the Treasury (fb:m.0bw8r)              |
| fb:m.04kq1pk | Basic title (fb:government.government_position_held.basic_title)                                          | Cabinet Secretary (fb:m.02hvt_)                                   |
| fb:m.04kq1pk | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)                    | United States of America (fb:m.09c7w0)                            |
| fb:m.04kq1pk | To (fb:government.government_position_held.to)                                                            | 1814-02-08                                                        |
| fb:m.04kq1pk | Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by)             | Thomas Jefferson (fb:m.07cbs)                                     |
| fb:m.04kq1pk | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Assistant]
The first position (fb:m.04kq1pk) held by Albert Gallatin is the United States Secretary of the Treasury, which he held from May 14, 1801, to February 8, 1814. This position is well after April 3, 1795.

Since this position does not meet the criteria, let's check the second position (fb:m.09rfklv).

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject      | property                                                                                | object                                                            |
| ------------ | -------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.09rfklv | Type (fb:type.object.type)                                                                                | Government Position Held (fb:government.government_position_held) |
| fb:m.09rfklv | Officeholder (fb:government.government_position_held.office_holder)                                                  | Albert Gallatin (fb:m.01p369)                                     |
| fb:m.09rfklv | Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body)            | United States Senate (fb:m.07t58)                                 |
| fb:m.09rfklv | From (fb:government.government_position_held.from)                                                                   | 1793-12-02                                                        |
| fb:m.09rfklv | Office, position, or title (fb:government.government_position_held.office_position_or_title)                         | United States Senator (fb:m.02_7l8y)                              |
| fb:m.09rfklv | Basic title (fb:government.government_position_held.basic_title)                                                     | Senator (fb:m.048zv9l)                                            |
| fb:m.09rfklv | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)                               | United States of America (fb:m.09c7w0)                            |
| fb:m.09rfklv | District represented (if position is district-related) (fb:government.government_position_held.district_represented) | Pennsylvania (fb:m.05tbn)                                         |
| fb:m.09rfklv | To (fb:government.government_position_held.to)                                                                       | 1794-02-28                                                        |
| fb:m.09rfklv | Legislative sessions (fb:government.government_position_held.legislative_sessions)                                   | 3rd United States Congress (fb:m.01grp0)                          |
| ...          | ...                                                                                | ...                                                               |

[Assistant]
The second position (fb:m.09rfklv) held by Albert Gallatin is that of a United States Senator, which he held from December 2, 1793, to February 28, 1794. This position is before April 3, 1795, which meets the criteria.

Therefore, Albert Gallatin was a governmental officer prior to April 3, 1795, and he is also one of the founders of New York University.

We can now provide the final answer.

Albert Gallatin is the governmental officer prior to April 3, 1795, and the founder of New York University.

Here is the final SPARQL query to confirm this:

```sparql
SELECT ?person WHERE {
  fb:m.0bwfn fb:organization.organization.founders ?person .
  ?person fb:government.politician.government_positions_held ?position .
  ?position fb:government.government_position_held.from ?startDate .
  FILTER(?startDate < "1795-04-03"^^xsd:date)
}
```

Let's execute this query to confirm the result.

[Tool]
Got 2 rows and 1 column:
| ?person                       |
| ----------------------------- |
| Albert Gallatin (fb:m.01p369) |
| Albert Gallatin (fb:m.01p369) |

[Assistant]
The SPARQL query confirms that Albert Gallatin is the governmental officer prior to April 3, 1795, and one of the founders of New York University.

Therefore, the answer to the question is:

**Albert Gallatin**

Here is the final SPARQL query and answer:

```sparql
SELECT ?person WHERE {
  fb:m.0bwfn fb:organization.organization.founders ?person .
  ?person fb:government.politician.government_positions_held ?position .
  ?position fb:government.government_position_held.from ?startDate .
  FILTER(?startDate < "1795-04-03"^^xsd:date)
}
```

Answer: Albert Gallatin

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?country WHERE {
  fb:m.04pf5l fb:location.location.containedby ?country .
  ?country fb:location.country.official_language ?language .
  FILTER ( ?language IN ( fb:m.02hxrs_ , fb:m.04306rv ) )
}

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 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] Which country includes the province of Waldenburg and speaks Germanic languages?

[Assistant] To answer this question, we need to identify the country that includes the province of Waldenburg and also speaks Germanic languages. Let's start by searching for the province of Waldenburg in Freebase.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. Province (fb:m.0fkxj): A province is almost always an administrative division, within a...the provinces" or "the province" means outside the capital city., Location
2. Voivodeships of Poland, also known as province (fb:m.0bdbp): A województwo; plural: województwa is the highest-level administ...he leader of that executive is called the marszałek województwa.
3. Waldenburg, also known as Waldenburg, Baden-Wurttemberg, Waldenburg, Baden-Württemberg (fb:m.04pf5l): Waldenburg is a hilltop town in south central Germany, eastwards...1945, at the end of World War II, and it has been rebuilt since., City/Town/Village
4. Waldenburg, also known as Waldenburg, Saxony (fb:m.04wsf2): Waldenburg is a town in the district Zwickau in Saxony, Germany....castle was owned by the House of Schönburg from 1378 until 1945., City/Town/Village
5. Waldenburg, also known as Poinsett County / Waldenburg town, Waldenburg, Arkansas (fb:m.0qwfl): Waldenburg is a town in Poinsett County, Arkansas, United States... is a member congregation of the Lutheran Church—Missouri Synod., City/Town/Village
6. Waldenburg, also known as Waldenburg, Switzerland (fb:m.01_yjb): Waldenburg is a municipality in the canton of Basel-Country in Switzerland, and the capital of the district of the same name., Administrative Division
7. Administrative Division, also known as territory, state, province, county, Canton (fb:m.02hpz31): This type is for administrative divisions of countries of any le...m in your private domain and post a note in the discussion here.
8. Province (fb:base.scubadiving.province)
9. Province (fb:m.04g7rg9)
10. Province (fb:m.01dn182): Musical Recording

No other items found

[Assistant]
From the search results, we can see that there are multiple places named Waldenburg. The relevant ones are:

1. **Waldenburg, Baden-Württemberg (fb:m.04pf5l)** - a town in Germany.
2. **Waldenburg, Saxony (fb:m.04wsf2)** - another town in Germany.
3. **Waldenburg, Switzerland (fb:m.01_yjb)** - a municipality in Switzerland.

Since the question specifies that the province of Waldenburg is in a country that speaks Germanic languages, we can focus on the German and Swiss options. Let's first check if these towns are part of a province and then determine the country they belong to.

We'll start with Waldenburg, Baden-Württemberg.

[Tool]
Got 243 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                                                            | object                                                                                |
| ------------------------ | ------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------- |
| Waldenburg (fb:m.04pf5l) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                                               |
| Waldenburg (fb:m.04pf5l) | Key (fb:type.object.key)                                            | /en/waldenburg_germany                                                                                |
| Waldenburg (fb:m.04pf5l) | Name (fb:type.object.name)                                          | "Waldenbourg"@fr                                                                                |
| Waldenburg (fb:m.04pf5l) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%41%27%44%2F%46%28%48%31%3A_(%28%27%2F%46-%41%48%31%2A%45%28%4A%31%3A)> |
| Waldenburg (fb:m.04pf5l) | Notable for (fb:common.topic.notable_for)                           | fb:g.1257qk67n                                                                                |
| Waldenburg (fb:m.04pf5l) | Notable types (fb:common.topic.notable_types)                       | City/Town/Village (fb:m.01m9)                                                                         |
| Waldenburg (fb:m.04pf5l) | Description (fb:common.topic.description)                           | "Waldenbourg est une ville du Ba...embre 2008, 3 016 habitants."@fr                                   |
| Waldenburg (fb:m.04pf5l) | Article (fb:common.topic.article)                                   | fb:m.04pf5s                                                                                |
| Waldenburg (fb:m.04pf5l) | Also known as (fb:common.topic.alias)                               | Waldenburg, Baden-Wurttemberg                                                                         |
| Waldenburg (fb:m.04pf5l) | Contained by (fb:location.location.containedby)                     | Germany (fb:m.0345h)                                                                                |
| ...                      | ...                                                                 | ...                                                                                |

[Assistant]
From the list of triples, we can see that Waldenburg, Baden-Württemberg (fb:m.04pf5l) is contained by Germany (fb:m.0345h). This confirms that Waldenburg is in Germany.

Next, we need to verify if Germany speaks Germanic languages. We can search for the official languages of Germany to confirm this.

Let's search for the official languages of Germany.

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

No other items found

[Assistant]
From the search results, we can see that the property "Official Language" (fb:location.country.official_language) is relevant. Let's use this property to find the official languages of Germany.

We'll execute a SPARQL query to get the official languages of Germany.

[Tool]
Got 2 rows and 1 column:
| ?language                      |
| ------------------------------ |
| Low German (fb:m.02hxrs_)      |
| German Language (fb:m.04306rv) |

[Assistant]
The official languages of Germany include Low German (fb:m.02hxrs_) and German Language (fb:m.04306rv). Both of these are Germanic languages.

Therefore, the country that includes the province of Waldenburg and speaks Germanic languages is Germany.

Let's finalize the answer with a SPARQL query that confirms this.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?governor WHERE {
  ?governor fb:government.government_position_held.office fb:m.04js22_
}

Despite multiple attempts, the data in Freebase does not seem to provide the necessary information to identify the current governor of Wyoming. The queries did not return any results, suggesting that the data might not be structured in a way that includes the current governor's term or the relevant information is missing.

[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 governor of the state where Dave Freudenthal is a District representative?

[Assistant]
To answer this question, we need to identify the state where Dave Freudenthal is a District representative and then find the current governor of that state. Let's start by finding the state associated with Dave Freudenthal.

First, I will search for Dave Freudenthal in Freebase to get his IRI.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. Dave Freudenthal (fb:m.026f66): David Duane "Dave" Freudenthal is an American politician who served as the 31st Governor of Wyoming from 2003 to 2011., Politician
2. Dave Freudenthal (fb:m.02cr85s)
3. Dave Freudenthal speech (fb:m.089w0j2)
4. David Beckham, also known as Posh and Becks, Posh & Becks, Posh 'n' Becks, Golden Balls, DB7 (fb:m.02d9k): David Robert Joseph Beckham, OBE is an English former profession...irst British footballer to play 100 UEFA Champions League games., Celebrity
5. David Letterman, also known as The Big Man, Letterman, Earl Hofert, david_letterman, Dave (fb:m.029_3): David Michael Letterman is an American former television host, c... of which was Everybody Loves Raymond, currently in syndication., David Letterman is an American Television Host and Comedian. He ... known for hosting his own show: Late Show with David Letterman., Celebrity
6. David Duchovny, also known as Dave, David William Duchovny (fb:m.0blt6): David William Duchovny is an American actor, writer, producer, d...iversity and an M.A. in English Literature from Yale University., Celebrity
7. David Boreanaz, also known as Dave, david_boreanaz, David Paul Boreanaz, David Patrick Boreanaz, Da (fb:m.01507p): David Boreanaz is an American actor, television producer, and di... Special Agent Seeley Booth on the television crime drama Bones., TV Actor
8. David Henrie, also known as Dave, Dave Henrie, David Clayton Henrie (fb:m.0dxmyh): David Clayton Henrie is an American actor, television writer, di... on That's So Raven along with Rudy Ising in Walt Before Mickey., Celebrity
9. César Azpilicueta, also known as Dave, César Azpilicueta Tanco, Cesar Azpilicueta (fb:m.03qhcnp): César Azpilicueta Tanco is a Spanish professional footballer who... full side, and was selected for the following year's World Cup., Football player
10. David Bryan, also known as Dave, David Bryan Rashbaum, David Rashbaum (fb:m.02s1kf): David Bryan Rashbaum, best known as just David Bryan, is the key...ls. He is the writer of the successful Broadway musical Memphis., Composer

No other items found

[Assistant]
The top result for "Dave Freudenthal" is fb:m.026f66, which matches the description of the American politician who served as the 31st Governor of Wyoming. However, we need to confirm if he is also a District representative. Let's check the roles and positions associated with this entity.

I will list the triples where Dave Freudenthal (fb:m.026f66) is the subject to see if he has any role as a District representative.

[Tool]
Got 207 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                                            | object                                                              |
| ------------------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------- |
| Dave Freudenthal (fb:m.026f66) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                             |
| Dave Freudenthal (fb:m.026f66) | Key (fb:type.object.key)                                            | /authority/daylife/topic/0eAU1Lc5A60hM                              |
| Dave Freudenthal (fb:m.026f66) | Name (fb:type.object.name)                                          | "Dave Freudenthal"@da                                               |
| Dave Freudenthal (fb:m.026f66) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%2F%4A%41_%41%31%48%2F%46%2B%27%44>   |
| Dave Freudenthal (fb:m.026f66) | Notable for (fb:common.topic.notable_for)                           | fb:g.12594n9c3                                                      |
| Dave Freudenthal (fb:m.026f66) | Notable types (fb:common.topic.notable_types)                       | Politician (fb:m.02xlh55)                                           |
| Dave Freudenthal (fb:m.026f66) | Description (fb:common.topic.description)                           | "David D. Freudenthal – amerykań.... gubernatora stanu Wyoming."@pl |
| Dave Freudenthal (fb:m.026f66) | Article (fb:common.topic.article)                                   | fb:m.026f6d                                                         |
| Dave Freudenthal (fb:m.026f66) | Gender (fb:people.person.gender)                                    | Male (fb:m.05zppz)                                                  |
| Dave Freudenthal (fb:m.026f66) | Date of birth (fb:people.person.date_of_birth)                      | 1950-10-12                                                          |
| ...                            | ...                                                                 | ...                                                                 |

[Assistant]
From the listed triples, it appears that Dave Freudenthal is primarily known as a politician and served as the Governor of Wyoming. There is no explicit mention of him being a District representative. However, since he is a politician from Wyoming, we can assume he is associated with Wyoming.

Next, let's find the current governor of Wyoming. We will search for the current governor of Wyoming and then retrieve their IRI.

I will search for the current governor of Wyoming.

[Tool]
No entity items found

No other items found

[Assistant]
It seems that the search did not return any results for the current governor of Wyoming. This might be due to the specific structure of the data in Freebase. Let's try a different approach by searching for the governor of Wyoming directly and then checking if there is a current term.

I will search for the governor of Wyoming and then check the current term.

[Tool]
No entity items found

No other items found

[Assistant]
It seems that the search for the governor of Wyoming did not yield any results either. This suggests that the data might not be structured in a way that directly links the governor position to the state of Wyoming. Let's try a different approach by searching for the current governor of Wyoming using a more general search query and then filtering the results to find the relevant information.

I will perform a general search for the current governor of Wyoming.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. Governor of Wyoming (fb:m.04js22_): The Governor of Wyoming is a constitutional officer of the state of Wyoming., Government Office or Title
2. Bryant B. Brooks, as Governor of Wyoming (fb:m.02gjz0n)
3. University of Wyoming, also known as UW, University of Wyoming, main campus, University of Wyoming, Laramie (fb:m.02mp0g): The University of Wyoming is a land-grant university located in ...ing was featured in the 2011 Princeton Review Best 373 Colleges., College/University
4. Flag of Wyoming (fb:m.02hjh0): The flag of the state of Wyoming consists of the silhouette of a...uted suggestions for changes after the design had been accepted.
5. Governor of California (fb:m.02_w_rw): The Governor of California is the chief executive of the Califor...nor in the history of California measured by cumulative service., Government Office or Title
6. Governor of Gibraltar (fb:m.028670): The Governor and Commander-in-Chief of Gibraltar is the represen...idence, the Union flag and the flag of Gibraltar are also flown., Government Office or Title
7. Governor of Massachusetts (fb:m.01lk31): The Governor of the Commonwealth of Massachusetts is the head of... state's military forces. The current Governor is Charlie Baker., Government Office or Title
8. Seal of Wyoming (fb:m.07gr0r): The Great Seal of the State of Wyoming was adopted by the second...ves Chamber and the Wyoming Senate Chamber in the state capital., Coat of Arms
9. Battle of Wyoming (fb:m.048y_p): The Battle of Wyoming was an encounter during the American Revol...re against thirty to forty who had surrendered, until they died., Battle
10. Current of Love (fb:m.0hgn_rz): The Current of Love or Tayar al-Mahabba, before May 2013 known a...tives which has been officially registered as a political party., Organization

No other items found

[Assistant]
The top result for "current governor of Wyoming" is the Governor of Wyoming (fb:m.04js22_), which is the office itself. To find the current holder of this office, we need to look for the person who holds this position.

I will list the triples where the Governor of Wyoming (fb:m.04js22_) is the object to find the current holder of the office.

[Tool]
Got 38 rows and 3 columns, showing the first 10 rows below:
| subject                                                               | property                                                                                | object                             |
| --------------------------------------------------------------------- | -------------------------------------------------------------------------------------------- | ---------------------------------- |
| Topic (fb:common.topic)                                               | Instance (fb:type.type.instance)                                                             | Governor of Wyoming (fb:m.04js22_) |
| fb:m.04js26g                                                          | Office, position, or title (fb:government.government_position_held.office_position_or_title) | Governor of Wyoming (fb:m.04js22_) |
| Governor (fb:m.0fkvn)                                                 | Offices (fb:government.government_office_category.offices)                                   | Governor of Wyoming (fb:m.04js22_) |
| Wyoming (fb:m.0846v)                                                  | Government positions (fb:government.governmental_jurisdiction.government_positions)          | Governor of Wyoming (fb:m.04js22_) |
| Non-Agent (fb:base.type_ontology.non_agent)                           | Instance (fb:type.type.instance)                                                             | Governor of Wyoming (fb:m.04js22_) |
| Abstract (fb:base.type_ontology.abstract)                             | Instance (fb:type.type.instance)                                                             | Governor of Wyoming (fb:m.04js22_) |
| Government Office or Title (fb:government.government_office_or_title) | Instance (fb:type.type.instance)                                                             | Governor of Wyoming (fb:m.04js22_) |
| fb:m.04js26l                                                          | Office, position, or title (fb:government.government_position_held.office_position_or_title) | Governor of Wyoming (fb:m.04js22_) |
| fb:m.04js26q                                                          | Office, position, or title (fb:government.government_position_held.office_position_or_title) | Governor of Wyoming (fb:m.04js22_) |
| fb:m.04js26v                                                          | Office, position, or title (fb:government.government_position_held.office_position_or_title) | Governor of Wyoming (fb:m.04js22_) |
| ...                                                                   | ...                                                                                | ...                                |

[Assistant]
From the listed triples, we can see several instances where the Governor of Wyoming (fb:m.04js22_) is held by different individuals. To find the current governor, we need to filter these results to identify the most recent term.

Let's execute a SPARQL query to find the current governor of Wyoming by looking for the most recent term of the Governor of Wyoming office.

[Tool] Got no rows and 3 columns

[Assistant]
It seems that the query did not return any results, which suggests that the data might not be structured in a way that includes the start and end dates for the governor's terms. Let's try a simpler query to find the current governor by looking for the most recent entry without filtering by dates.

I will execute a SPARQL query to find the current governor of Wyoming by simply listing the individuals who hold the Governor of Wyoming office and then manually inspecting the results to identify the most recent term.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that even the simpler query did not return any results, which suggests that the data for the current governor of Wyoming might not be available in the way we are querying it.

Given the constraints and the lack of results, I will have to conclude that the data in Freebase does not provide the necessary information to answer the question accurately. Therefore, I will cancel the generation process and explain the issue.

I will provide a detailed explanation and my best attempt at a SPARQL query so far.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?facility WHERE {
  {
    fb:m.03m1n fb:sports.sports_team.venue ?facility
  } UNION {
    fb:m.0cwym3 fb:sports.sports_team.venue ?facility
  }
}
GROUP BY ?facility
HAVING ( COUNT( ?facility ) > 1 )

There is no common sports facility for both the Houston Astros and the Houston Hotshots according to the available data in Freebase.

[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 sports facility is home to both the Houston Astros and Houston hotshots?

[Assistant]
To answer this question, I need to identify the sports facilities associated with both the Houston Astros and the Houston Hotshots. Let's start by finding the entities for these teams in Freebase.

### Step 1: Identify the entities for the Houston Astros and Houston Hotshots

I will use the `search` function to find the entities for these teams.

#### Search for the Houston Astros

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. Houston Astros, also known as Colt .45s (fb:m.03m1n): The Houston Astros are an American professional baseball team lo...t the Chicago White Sox, in which they were swept in four games., Professional Sports Team
2. Houston Astros (fb:m.09nw3kh): Fictional Character
3. Houston Astros (fb:m.0jbcp4q)
4. The Houston Astros (fb:m.06j9kyd): Book
5. Houston Astros Player (fb:m.09nhhwg): Fictional Character
6. Houston Astros Player (fb:m.08nfvxm): Fictional Character
7. 2015 Houston Astros season (fb:m.011x3vb0): The 2015 Houston Astros season is the 54th season for the franch...n the American League and their 16th season at Minute Maid Park.
8. Houston Astros current roster (fb:m.05hlppz): Houston Astros current roster
9. 2010 Houston Astros season (fb:m.012stnlj): The 2010 Houston Astros season was the 49th season in the histor...The Astros would go 34–27 after trading away Oswalt and Berkman.
10. 2012 Houston Astros season (fb:m.012sv2kh): The Houston Astros 2012 season was the 51st season for the franc...eed to move from the NL Central to the AL West starting in 2013.

No other items found

[Assistant]
The top result for the Houston Astros is `fb:m.03m1n`, which seems to be the correct entity for the professional baseball team.

#### Search for the Houston Hotshots

Now, let's search for the Houston Hotshots.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. Houston Hotshots (fb:m.0cwym3): The Houston Hotshots are a semi-professional indoor soccer team ...field a team in the upcoming Premier Arena Soccer League Season., Football team
2. Houston, also known as Houston, Texas, Houston, TX, Montgomery County / Houston city (fb:m.03l2n): Houston is the most populous city in Texas and the American Sout...hnson Space Center, where the Mission Control Center is located., City/Town/Village
3. Houston, also known as Houston, Alaska, Matanuska-Susitna Borough / Houston city (fb:m.01z1w3s): Houston is a city in Matanuska-Susitna Borough, Alaska, United S...een the two points. The population was 1,912 at the 2010 census., City/Town/Village
4. Houston, also known as Houston, Delaware, Kent County / Houston town (fb:m.0rghk): Houston is a town in Kent County, Delaware, United States. It is...on was 374 at the 2010 census. It was named for John W. Houston., City/Town/Village
5. Houston, also known as Houston County / Houston city, Houston, Minnesota (fb:m.0w1l2): Houston is a city in Houston County, Minnesota, United States. The population was 979 at the 2010 census., City/Town/Village
6. Houston, also known as Chickasaw County / Houston city, Houston, Mississippi (fb:m.0wpp1): Houston is a city in and one of two county seats of Chickasaw Co...sissippi Flywheel Festival in April and September of every year., City/Town/Village
7. Houston, also known as Houston, Missouri, Texas County / Houston city (fb:m.0x0rh): Houston is a city in Texas County, Missouri, United States. The ...2,081 at the 2010 census. It is the county seat of Texas County., City/Town/Village
8. Houston, also known as Houston, Arkansas, Perry County / Houston town (fb:m.0qw6p): Houston is a town in Perry County, Arkansas, United States. The ...tle Rock–North Little Rock–Conway Metropolitan Statistical Area., City/Town/Village
9. Houston, also known as Houston, Pennsylvania, Washington County / Houston borough (fb:m.0_g1m): Houston is a borough in Washington County, Pennsylvania, United ...Township attend school in the Chartiers-Houston School District., City/Town/Village
10. Houston (fb:m.01qszbp): Houston is an American singer, best known for the hit single "I Like That.", Musical Artist

No other items found

[Assistant]
The top result for the Houston Hotshots is `fb:m.0cwym3`, which seems to be the correct entity for the semi-professional indoor soccer team.

### Step 2: Find the sports facilities associated with these teams

Next, I will find the sports facilities associated with both the Houston Astros and the Houston Hotshots. I will use the `list` function to find the properties related to the sports facilities for these teams.

#### List properties for the Houston Astros

Let's list the properties for the Houston Astros to find the sports facility.

[Tool]
Got 671 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                                            | object                                                              |
| --------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------- |
| Houston Astros (fb:m.03m1n) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                             |
| Houston Astros (fb:m.03m1n) | Key (fb:type.object.key)                                            | /authority/daylife/topic/09009g93Pe2bh                              |
| Houston Astros (fb:m.03m1n) | Name (fb:type.object.name)                                          | "Astros de Houston"@fr                                              |
| Houston Astros (fb:m.03m1n) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ca.wikipedia.org/wiki/Houston_Astros>                       |
| Houston Astros (fb:m.03m1n) | Notable for (fb:common.topic.notable_for)                           | fb:g.125c74pd8                                                      |
| Houston Astros (fb:m.03m1n) | Notable types (fb:common.topic.notable_types)                       | Professional Sports Team (fb:m.044801x)                             |
| Houston Astros (fb:m.03m1n) | Description (fb:common.topic.description)                           | "Die Houston Astros sind ein US-...gegen die Chicago White Sox."@de |
| Houston Astros (fb:m.03m1n) | Article (fb:common.topic.article)                                   | fb:m.03m1z                                                          |
| Houston Astros (fb:m.03m1n) | Also known as (fb:common.topic.alias)                               | Colt .45s                                                           |
| Houston Astros (fb:m.03m1n) | Web Link(s) (fb:common.topic.webpage)                               | fb:m.0422f1n                                                        |
| ...                         | ...                                                                 | ...                                                                 |

[Assistant]
From the list of properties for the Houston Astros, I don't see a direct property for the sports facility. However, I can try to find the home stadium by searching for properties related to the location or venue.

#### List properties for the Houston Hotshots

Let's list the properties for the Houston Hotshots to find the sports facility.

[Tool]
Got 41 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                                            | object                                                              |
| ------------------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------- |
| Houston Hotshots (fb:m.0cwym3) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                             |
| Houston Hotshots (fb:m.0cwym3) | Key (fb:type.object.key)                                            | /en/houston_hotshots                                                |
| Houston Hotshots (fb:m.0cwym3) | Name (fb:type.object.name)                                          | Houston Hotshots                                                    |
| Houston Hotshots (fb:m.0cwym3) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://en.wikipedia.org/wiki/Houston_Hotshots>                     |
| Houston Hotshots (fb:m.0cwym3) | Notable for (fb:common.topic.notable_for)                           | fb:g.1259rwwwf                                                      |
| Houston Hotshots (fb:m.0cwym3) | Notable types (fb:common.topic.notable_types)                       | Football team (fb:m.01xljsc)                                        |
| Houston Hotshots (fb:m.0cwym3) | Description (fb:common.topic.description)                           | The Houston Hotshots are a semi-...mier Arena Soccer League Season. |
| Houston Hotshots (fb:m.0cwym3) | Article (fb:common.topic.article)                                   | fb:m.0cwym8                                                         |
| Houston Hotshots (fb:m.0cwym3) | Sport (fb:sports.sports_team.sport)                                 | Indoor soccer (fb:m.02c3nd)                                         |
| Houston Hotshots (fb:m.0cwym3) | Member of (fb:sports.sports_team.league)                            | fb:g.11bv2nq2jm                                                     |
| ...                            | ...                                                                 | ...                                                                 |

[Assistant]
From the list of properties for the Houston Hotshots, I don't see a direct property for the sports facility either. However, I can try to find the home stadium by searching for properties related to the location or venue.

### Step 3: Construct a SPARQL query to find the common sports facility

Since the direct properties for the sports facilities are not immediately available, I will construct a SPARQL query to find the common sports facility for both teams. I will look for properties that might indicate the home stadium or venue.

#### Construct the SPARQL query

I will use the `execute` function to run the SPARQL query.

[Tool]
Got 712 rows and 1 column, showing the first 5 and last 5 rows below:
| ?facility                                   |
| ------------------------------------------- |
| 09009g93Pe2bh                               |
| 103844108220382338325                       |
| 103844108220382338325                       |
| houston_astros                              |
| 212511                                      |
| ...                                         |
| Inanimate (fb:base.type_ontology.inanimate) |
| Topic (fb:common.topic)                     |
| Football team (fb:soccer.football_team)     |
| Sports Team (fb:sports.sports_team)         |
| Houston Hotshots                            |

[Assistant]
The results include a mix of different types of entities, which suggests that the query is not specific enough. I need to refine the query to focus on properties that are likely to indicate the home stadium or venue.

### Step 4: Refine the SPARQL query

I will refine the query to specifically look for properties that are likely to indicate the home stadium or venue. Common properties for this purpose might include `home ground`, `stadium`, or `venue`.

#### Refine the SPARQL query

I will use the `execute` function to run the refined SPARQL query.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the property `fb:sports.sports_team.home_ground` does not exist for these entities. I will try another approach by looking for properties that might be related to the location or venue, such as `location` or `venue`.

### Step 5: Try alternative properties

I will use the `list` function to find properties related to the location or venue for both teams.

#### List properties for the Houston Astros again

Let's list the properties for the Houston Astros to find the location or venue.

[Tool] Got no rows and 3 columns

[Assistant]
The property `fb:sports.sports_team.home_ground` does not exist for the Houston Astros. Let's try another property that might indicate the home stadium, such as `location` or `venue`.

#### List properties for the Houston Astros with `location` or `venue`

Let's list the properties for the Houston Astros to find the location or venue.

[Tool] Got no rows and 3 columns

[Assistant]
The property `fb:location.location.containedby` does not exist for the Houston Astros. Let's try another property, such as `venue`.

#### List properties for the Houston Astros with `venue`

Let's list the properties for the Houston Astros to find the venue.

[Tool]
Got 2 rows and 3 columns:
| subject                     | property                            | object       |
| --------------------------- | ----------------------------------- | ------------ |
| Houston Astros (fb:m.03m1n) | Venue (fb:sports.sports_team.venue) | fb:m.0wz1v_1 |
| Houston Astros (fb:m.03m1n) | Venue (fb:sports.sports_team.venue) | fb:m.0wz2yc_ |

[Assistant]
The Houston Astros have two venues listed: `fb:m.0wz1v_1` and `fb:m.0wz2yc_`. Let's check if these venues are also associated with the Houston Hotshots.

#### List properties for the Houston Hotshots with `venue`

Let's list the properties for the Houston Hotshots to find the venue.

[Tool]
Got 2 rows and 3 columns:
| subject                        | property                            | object       |
| ------------------------------ | ----------------------------------- | ------------ |
| Houston Hotshots (fb:m.0cwym3) | Venue (fb:sports.sports_team.venue) | fb:m.0wz3018 |
| Houston Hotshots (fb:m.0cwym3) | Venue (fb:sports.sports_team.venue) | fb:m.0x2dzn8 |

[Assistant]
The Houston Hotshots have two venues listed: `fb:m.0wz3018` and `fb:m.0x2dzn8`.

### Step 6: Check for common venues

Now, I will construct a SPARQL query to find if any of the venues for the Houston Astros are also venues for the Houston Hotshots.

#### Construct the SPARQL query

I will use the `execute` function to run the SPARQL query.

[Tool]
SPARQL execution failed:
failed to parse input: parse error at position 183 for token > with content '>' (the input most likely does not follow the grammar)

[Assistant]
It looks like there was a syntax error in the SPARQL query. I will correct the query and try again.

### Step 7: Correct the SPARQL query

I will correct the syntax and re-run the query to find the common venue.

#### Correct the SPARQL query

I will use the `execute` function to run the corrected SPARQL query.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that there is no common venue between the Houston Astros and the Houston Hotshots based on the data in Freebase.

Given the results, it appears that the Houston Astros and Houston Hotshots do not share a common sports facility according to the available data in Freebase.

Since the query did not return any results, I will provide an answer indicating that there is no common venue found.

### Final Answer

I will use the `answer` function to provide the final response.

[Tool] Stopped generation process


The person 'Michel Goudhaux' is not found in the Freebase knowledge graph, making it impossible to determine the country where he holds an office and subsequently the countries that share a border with that country.

[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] Which countries share border with the country who has an office holder named Michel Goudhaux?

[Assistant]
To answer this question, we need to follow these steps:

1. Identify the country where Michel Goudhaux holds an office.
2. Find the countries that share a border with that country.

Let's start by identifying the country where Michel Goudhaux holds an office.

[Tool] Invalid SPARQL query: Variable ?search must occurr in the WHERE clause at least once

[Assistant]
It seems I made a mistake in the SPARQL query. Let's correct it by properly including the `?search` variable and searching for the country where Michel Goudhaux holds an office.

I will adjust the query to include the `?search` variable and try again.

[Tool]
No entity items found

No other items found

[Assistant]
It appears that there are no results for the search query involving Michel Goudhaux. This could mean that either the name is misspelled, or the information about him holding an office in a country is not present in the Freebase knowledge graph.

Let's try a different approach. We can search for Michel Goudhaux directly and then look for the country he is associated with.

I will first search for Michel Goudhaux and then find the country he is associated with.

### Step 1: Search for Michel Goudhaux
Let's start by searching for Michel Goudhaux.

[Tool]
No entity items found

No other items found

[Assistant]
It seems that there are no entries for Michel Goudhaux in the Freebase knowledge graph. This makes it difficult to proceed with the original question since we cannot identify the country where he holds an office.

Given this, I will have to conclude that the information required to answer the question is not available in the Freebase knowledge graph.

### Conclusion
I am unable to find a satisfactory SPARQL query to answer the question because the person "Michel Goudhaux" is not present in the Freebase knowledge graph.

Here is my final response:

[Tool] Stopped generation process


Failed to generate SPARQL query

[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] Which amusement park, with its Dragon's Den ride, is in downtown Sacramento?

[Assistant] To answer this question, we need to identify the amusement park in downtown Sacramento that has a ride called "Dragon's Den". Let's start by searching for the amusement park in downtown Sacramento.

[Tool]
No entity items found

No other items found

[Assistant]
It seems that there are no direct matches for an amusement park in downtown Sacramento. Let's try a different approach. We can search for the "Dragon's Den" ride and see if it provides us with the location of the amusement park.

<tool_call>
{"name": "search", "arguments": {"kg": "freebase", "sparql": "SELECT * WHERE { ?search fb:type.object.name 'Dragon\'s Den'@en }", "query": "ride"}}
</tool_call>


PREFIX fb: <http://rdf.freebase.com/ns/>
ASK WHERE {
  fb:m.0bdxs5 fb:film.actor.film ?movie .
  ?movie fb:film.film.cinematographer fb:m.03cx282 .
}

False

[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] Which movies has Miley Cyrus been in, where the cinematography was by Philippe Rousselot?

[Assistant]
To answer this question, we need to identify the following elements:
1. Miley Cyrus as an actor in movies.
2. Philippe Rousselot as a cinematographer in those movies.

Let's start by finding the Freebase IDs for Miley Cyrus and Philippe Rousselot.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. Miley Cyrus, also known as Miley Ray Cyrus, Smiley Miley, Smiley, Miley, Hannah Montana (fb:m.0bdxs5): Miley Ray Cyrus is an American singer, songwriter, and actress. ...ives, which featured the successful track "Party in the U.S.A."., Celebrity
2. Miley Cyrus, also known as Mylie Cyrus (fb:m.0xnqn32): Interview with and performance by singer and actress Miley Cyrus., Miley Cyrus hosts and performs., TV Episode
3. Heather Morris, also known as Miley Cyrus (fb:m.0jqrh94): Miley Cyrus is the guest host. Prank victims include Kelly Osbourne, Khloe Kardashian and Liam Hemsworth., TV Episode
4. Miley Cyrus (fb:m.0zkzy0x): Musical Recording
5. Miley Cyrus (fb:m.0wcg7bb): TV Episode
6. Miley Cyrus (fb:m.0_mvzqm): TV Episode
7. Miley Cyrus (fb:m.010b0mvw): Miley Cyrus is an American actress and singer. She became an ove...ed Cyrus to launch her own recording career several years later., TV Episode
8. Miley Cyrus (fb:m.0y8cf1n): TV Episode
9. Miley Cyrus (fb:m.011r0zpk): Miley Cyrus is a fictional representation of singer and actress Miley Cyrus., Fictional Character
10. Miley Cyrus (fb:m.07y068b)

No other items found

[Assistant] The top result for Miley Cyrus is `fb:m.0bdxs5`. Let's now find the Freebase ID for Philippe Rousselot.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. Philippe Rousselot (fb:m.03cx282): Philippe Rousselot is a French director of photography. Rousselo...1982 for Diva, in 1987 for Thérèse and in 1995 for Queen Margot., Film cinematographer
2. Adolphe d'Ennery, also known as Ennery, Philippe, Adolphe Philippe Dennery, Adolphe-Philippe Dennery, Adolphe-Philippe d'Ennery (fb:m.05jty0): Adolphe Philippe d'Ennery or Dennery was a French Jewish dramatist and novelist., Librettist
3. Philippe Le Sourd, also known as Philippe, Philippe Lesourd (fb:m.0jsrnf): Philippe Le Sourd is a French cinematographer. He received a nom...r Best Cinematography for his work on 2013 film The Grandmaster., Philippe Le Sourd is a cinematographer., Award Winner
4. Philippe Khorsand, also known as Philippe, Philippe Teymour, Monsieur Khorsand (fb:m.03mbz3q): Philippe Khorsand was a French actor. His father was Iranian and...onneur. Khorsand died of a hemorrhage at the age of 59 in Paris., Film actor
5. Philippe (fb:m.01qf80z): Musical Artist
6. Philippe, also known as Philippe of Gascony (fb:m.0cgh8q6): Philippe (or the Man in the Iron Mask) is the fictional twin bro...g Louis IV in Alexandre Dumas's novel The Vicomte of Bragelonne., Film character
7. Philippe (fb:m.0lyyc7r): Philippe is a fictional character from the 2011 film Intouchables., Film character
8. Philippe (fb:m.0j0xyf_): Philippe is a fictional character from the 2011 film Declaration of War., Film character
9. Philippe, also known as Kamen Rider W, Raito Sonozaki, Philip, Kamen Rider Double (fb:m.0nfw5jd): Philip is a fictional character from the 2010 film Kamen Rider × Kamen Rider OOO & W Featuring Skull: Movie War Core., Philippe is a character from the tv program Kamen Rider W., Film character
10. Philippe (fb:m.0yl1sh6): Philippe is a costume designer., Film costumer designer

No other items found

[Assistant]
The top result for Philippe Rousselot is `fb:m.03cx282`. Now that we have the IDs for both Miley Cyrus and Philippe Rousselot, we can construct a SPARQL query to find the movies where Miley Cyrus acted and Philippe Rousselot was the cinematographer.

Let's start by finding the movies where Miley Cyrus acted.

[Tool]
Got 18 rows and 1 column, showing the first 5 and last 5 rows below:
| ?movie        |
| ------------- |
| fb:m.010tw6z6 |
| fb:m.012zkz2h |
| fb:m.03l1y77  |
| fb:m.04g4mbv  |
| fb:m.04g4mcc  |
| ...           |
| fb:m.0h0_35j  |
| fb:m.0t4tcrz  |
| fb:m.0vpd23v  |
| fb:m.0w1x035  |
| fb:m.0w2y18w  |

[Assistant] We have found the movies where Miley Cyrus acted. Next, we need to filter these movies to only include those where Philippe Rousselot was the cinematographer. Let's modify the SPARQL query to include this condition.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that there are no movies where Miley Cyrus acted and Philippe Rousselot was the cinematographer. To confirm this, we can use an ASK query to check if such a combination exists.

Let's run the ASK query.

[Tool] False

[Assistant]
The ASK query confirms that there are no movies where Miley Cyrus acted and Philippe Rousselot was the cinematographer.

Therefore, the answer to the question is:

There are no movies where Miley Cyrus acted and Philippe Rousselot was the cinematographer.

I will now provide the final SPARQL query and answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?work ?adaptation WHERE {
  fb:m.015fyd fb:book.author.works_written ?work .
  OPTIONAL {
    ?work fb:book.book_subject.adaptation ?adaptation .
  }
}

Got 23 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?work                                          | ?adaptation |
| ---------------------------------------------- | ----------- |
| The Children of Men (fb:m.015fn8)              |             |
| Death of an Expert Witness (fb:m.025xkfd)      |             |
| The Black Tower (fb:m.027pz3w)                 |             |
| A Taste for Death (fb:m.0284wmh)               |             |
| The Maul and the Pear Tree (fb:m.02q76ps)      |             |
| ...                                            | ...         |
| Original Sin (fb:m.0d1tb2)                     |             |
| Talking about Detective Fiction (fb:m.0dl9mcy) |             |
| Cover Her Face (fb:m.0fddf1)                   |             |
| Moment of Power (fb:m.0g4nhyt)                 |             |
| Death Comes to Pemberley (fb:m.0hzp_h5)        |             |

After searching for P. D. James' works and Charlie Hunnam's performances, and checking for any adaptations of P. D. James' works, no relevant information was found in the Freebase knowledge graph. It is possible that the information is not available in this dataset.

[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] Which story written by P. D. James has Charlie Hunnam been in?

[Assistant]
To answer this question, we need to identify the following entities and relationships:
1. P. D. James as the author.
2. Stories written by P. D. James.
3. Charlie Hunnam as an actor.
4. The relationship between Charlie Hunnam and the stories written by P. D. James (i.e., which story he has been in).

Let's start by searching for P. D. James and Charlie Hunnam in the Freebase knowledge graph.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. P. D. James, also known as P.D. James, Pd James, Phyllis Dorothy (The Baroness) James, Phyllis Dorothy James (fb:m.015fyd): Phyllis Dorothy James, Baroness James of Holland Park, OBE, FRSA...ective novels starring police commander and poet Adam Dalgliesh., Author
2. James D. Parriott, also known as James Pariott, Jim Parriott, James Parriott (fb:m.03w9sgh): James D. Parriott is an award winning American writer, director,...merica Television Producer of the Year Award in Episodic series., TV Writer
3. James D. Phelan, also known as James Phelan (fb:m.03m0p_): James Duval Phelan was an American politician, civic leader and ... movement to restrict Japanese immigration to the United States., U.S. Congressperson
4. James D. Porter, also known as James Porter, Jr. (fb:m.03nvrm): James Davis Porter was an American politician, educator, and sol... College to be reestablished near Vanderbilt University in 1909., Politician
5. James D. Plummer, also known as Dr. James Plummer, Jim Plummer, James Plummer (fb:m.03wy7bc): James D. Plummer has been a director of Intel since 2005. He has...g at Stanford focus on nanoscale silicon devices and technology., Organization leader
6. James Ployhar, also known as James D. Ployhar (fb:m.08fwyn): James D. Ployhar was an American composer, music educator, and f...by the executive committee of the National Band Association. Mr., Composer
7. Jimmy Dunne, also known as Dunne, James Patrick, Jimmy Dunne, Jim Dunne, James Patrick Dunne, James P. Dunne (fb:m.028bvw3): James Patrick Dunne is an American songwriter, recording artist,...hitney Houston, Jermaine Jackson, Anne Murray, and Dave Loggins., Musical Artist
8. James P. Delgado, also known as James Delgado (fb:m.05xt73c): James P. Delgado is a maritime archaeologist, explorer and author., Author
9. James D. Post, also known as James Post (fb:m.02rm19f): James Douglass Post was a U.S. Representative from Ohio. Born ne...ril 1, 1921, after which he was interred in Washington Cemetery., U.S. Congressperson
10. James P Dollive (fb:m.03wvl9v): Mr. Dollive retired in February 2008 from Kraft Foods Inc., one ...s executive vice president and chief financial officer of Kraft., Organization leader

No other items found

[Assistant] The top result for "P. D. James" is `fb:m.015fyd`, which seems to be the correct entity for the author P. D. James. Now let's search for Charlie Hunnam.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

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

No other items found

[Assistant]
The top result for "Charlie Hunnam" is `fb:m.057yk8`, which seems to be the correct entity for the actor Charlie Hunnam.

Next, we need to find the stories written by P. D. James and then check if Charlie Hunnam has been in any of these stories. Let's start by finding the stories written by P. D. James.

We can use the property `fb:book.author.works_written` to find the works written by P. D. James.

[Tool]
Got 23 rows and 1 column, showing the first 5 and last 5 rows below:
| ?work                                          |
| ---------------------------------------------- |
| The Children of Men (fb:m.015fn8)              |
| Death of an Expert Witness (fb:m.025xkfd)      |
| The Black Tower (fb:m.027pz3w)                 |
| A Taste for Death (fb:m.0284wmh)               |
| The Maul and the Pear Tree (fb:m.02q76ps)      |
| ...                                            |
| Original Sin (fb:m.0d1tb2)                     |
| Talking about Detective Fiction (fb:m.0dl9mcy) |
| Cover Her Face (fb:m.0fddf1)                   |
| Moment of Power (fb:m.0g4nhyt)                 |
| Death Comes to Pemberley (fb:m.0hzp_h5)        |

[Assistant]
We have successfully retrieved the works written by P. D. James. Now, we need to check if Charlie Hunnam has been in any of these works. We can use the property `fb:film.performance.film` to find the films in which Charlie Hunnam has performed and then see if any of these films match the works written by P. D. James.

Let's start by finding the films in which Charlie Hunnam has performed.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that there are no direct links between Charlie Hunnam and films in the Freebase knowledge graph. However, it's possible that the works written by P. D. James have been adapted into films or TV shows, and Charlie Hunnam might have been in one of those adaptations.

Let's try to find any adaptations of P. D. James' works and then check if Charlie Hunnam has been in any of those adaptations. We can use the property `fb:book.book_subject.adaptation` to find adaptations of the works written by P. D. James.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that there are no direct adaptations of P. D. James' works listed in the Freebase knowledge graph. Given this, it's possible that the information we are looking for is not available in the Freebase dataset.

Since we have exhausted the available data in Freebase and have not found any evidence of Charlie Hunnam being in a story written by P. D. James, we can conclude that the information is not present in the knowledge graph.

I will provide a cancellation response explaining the situation.

[Tool] Stopped generation process