The Freebase knowledge graph does not contain structured information about the teams Hank Baskett played for, including the team he was on in 2010. Therefore, it is not possible to construct a SPARQL query to answer this question using the available data.

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

You have access to the following knowledge graphs:
freebase at 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 team is hank baskett on 2010?

[Assistant] To answer the question about which team Hank Baskett was on in 2010, we need to identify the entity for Hank Baskett and then find the team he played for during that year. Let's start by searching for Hank Baskett in the Freebase knowledge graph.

[Tool]
Got 1 row and 1 column:
| ?person                    |
| -------------------------- |
| Hank Baskett (fb:m.0d81yf) |

[Assistant]
We found the entity for Hank Baskett, which is `fb:m.0d81yf`. Next, we need to find out which team he was on in 2010. We will look for properties related to his career and the teams he played for.

Let's check the properties associated with Hank Baskett to see if we can find information about his team in 2010.

[Tool]
Got 100 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?property                                                           | ?value                                                              |
| ------------------------------------------------------------------- | ------------------------------------------------------------------- |
| fbkey:authority.daylife.topic                                       | 0eb36PB2jK1mP                                                       |
| fbkey:authority.imdb.name                                           | nm2804235                                                           |
| fbkey:authority.netflix.api                                         | http$003A$002F$002Fapi$002Enetfl...Fcatalog$002Fpeople$002F30120567 |
| fbkey:authority.netflix.role                                        | 30120567                                                            |
| fbkey:authority.tvrage.person                                       | 314819                                                              |
| ...                                                                 | ...                                                                 |
| Notable types (fb:common.topic.notable_types)                       | American football player (fb:m.01xljrf)                             |
| Official website (fb:common.topic.official_website)                 | <http://hank-baskett.com/>                                          |
| Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://de.wikipedia.org/wiki/Hank_Baskett>                         |
| Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://de.wikipedia.org/wiki/index.html?curid=5695613>             |
| Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://en.wikipedia.org/wiki/Hank_Baskett>                         |

[Assistant]
From the properties of Hank Baskett, we don't see any direct information about the team he played for in 2010. However, we can try to find more specific properties related to his career, such as the teams he played for and the years he played for those teams.

Let's search for properties that might indicate the team he played for in 2010.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the specific property `fb:sports.sports_player.career` and related properties did not yield any results. Let's try another approach by looking for properties that might directly link Hank Baskett to a team and a year.

We can also try to find the teams he played for and then filter by the year 2010.

[Tool] Got no rows and 2 columns

[Assistant]
It appears that the properties `fb:sports.sports_player.teams` and `fb:sports.sports_team_roster.from` did not yield any results either. Let's try a different approach by looking for any properties that might indicate the teams he played for and the years he played for those teams.

We can also try to find the teams he played for and then filter by the year 2010 using a different set of properties.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the properties `fb:sports.sports_player.career`, `fb:sports.sports_career_stats.team`, and `fb:sports.sports_career_stats.year` did not yield any results either. This suggests that the data for Hank Baskett's career in Freebase might not be structured in a way that directly links him to a team and a specific year.

Given the lack of results, let's try a more general approach by looking for any properties that might indicate the teams he played for and then manually check if we can find the year 2010 in the results.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that even the more general approach of finding the teams Hank Baskett played for did not yield any results. This suggests that the data for Hank Baskett's career in Freebase might be incomplete or not structured in a way that allows us to easily extract the information we need.

Given the lack of results, I will have to conclude that the information about which team Hank Baskett was on in 2010 is not available in the Freebase knowledge graph.

I will provide a cancellation response explaining this situation.

[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] what language do they speak in malta?

[Assistant]
To answer the question about the language spoken in Malta, I need to identify the entity for Malta and then find the property that links it to the languages spoken there. Let's start by searching for the entity representing Malta.
<tool_call>
{"name": "execute", "arguments": {"kg": "freebase", "sparql": "SELECT ?malta WHERE { ?malta rdf:type fb:m.01gj8 }}
"}


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?gobiDesert ?location WHERE {
  ?gobiDesert rdfs:label 'Gobi Desert' @en .
  ?gobiDesert fb:location.location.containedby ?location .
}

The Gobi Desert is located in Mongolia.

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

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

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

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

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

[User] where are the gobi desert located on a map?

[Assistant] To answer the question about the location of the Gobi Desert on a map, we need to find the geographical coordinates of the Gobi Desert. Let's start by identifying the entity for the Gobi Desert in the Freebase knowledge graph.

[Tool] Got no rows and 1 columns

[Assistant] It seems that the initial query did not return any results. Let's try a different approach by searching for the Gobi Desert directly using its label.

[Tool]
Got 5 rows and 1 column:
| ?gobiDesert                |
| -------------------------- |
| Gobi Desert (fb:m.07pwc84) |
| Gobi Desert (fb:m.0ff0d)   |
| Gobi Desert (fb:m.0fwz5zm) |
| Gobi Desert (fb:m.0mk4kfh) |
| Gobi Desert (fb:m.0xs495f) |

[Assistant] We have multiple results for the Gobi Desert. To ensure we select the correct one, let's filter by the type `fb:location.desert` to identify the most relevant entity.

[Tool] Got no rows and 1 columns

[Assistant] It appears that none of the results are of the type `fb:location.desert`. Let's try another approach by checking the types of the entities returned and see if any of them are related to geographical locations.

[Tool]
Got 19 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?gobiDesert                | ?type                                                                   |
| -------------------------- | ----------------------------------------------------------------------- |
| Gobi Desert (fb:m.07pwc84) | word (fb:base.wordnet.word)                                             |
| Gobi Desert (fb:m.0ff0d)   | Cryptid area of occurrence (fb:base.mystery.cryptid_area_of_occurrence) |
| Gobi Desert (fb:m.0ff0d)   | Topic (fb:base.mystery.topic)                                           |
| Gobi Desert (fb:m.0ff0d)   | Ontology Instance (fb:base.ontologies.ontology_instance)                |
| Gobi Desert (fb:m.0ff0d)   | Inanimate (fb:base.type_ontology.inanimate)                             |
| ...                        | ...                                                                     |
| Gobi Desert (fb:m.0fwz5zm) | Canonical Version (fb:music.single)                                     |
| Gobi Desert (fb:m.0mk4kfh) | Topic (fb:common.topic)                                                 |
| Gobi Desert (fb:m.0mk4kfh) | Release track (fb:music.release_track)                                  |
| Gobi Desert (fb:m.0xs495f) | Topic (fb:common.topic)                                                 |
| Gobi Desert (fb:m.0xs495f) | Release track (fb:music.release_track)                                  |

[Assistant] None of the types listed seem to correspond to a geographical location. However, the entity `Gobi Desert (fb:m.0ff0d)` has the type `Topic (fb:common.topic)`, which might be the most relevant. Let's check if this entity has any geographical information associated with it.

[Tool]
Got 1 row and 2 columns:
| ?gobiDesert              | ?location             |
| ------------------------ | --------------------- |
| Gobi Desert (fb:m.0ff0d) | Mongolia (fb:m.04w8f) |

[Assistant]
The Gobi Desert (fb:m.0ff0d) is contained by Mongolia (fb:m.04w8f). This indicates that the Gobi Desert is located in Mongolia. To provide a more precise location, we should also check if there are any coordinates available for the Gobi Desert.

Let's query for the geographical coordinates of the Gobi Desert.

[Tool] Got no rows and 3 columns

[Assistant]
It seems that the Gobi Desert entity does not have direct latitude and longitude information. However, since we know it is located in Mongolia, we can query for the coordinates of Mongolia to get a general idea of where the Gobi Desert is located.

Let's find the coordinates of Mongolia.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that the entity for Mongolia also does not have direct latitude and longitude information in the Freebase knowledge graph. Given this, we can try to find the coordinates of the Gobi Desert using a different approach, such as looking for a more specific entity that represents the Gobi Desert and has geographical information.

Let's try to find a more specific entity for the Gobi Desert that might have coordinates.

[Tool] Got no rows and 2 columns

[Assistant]
Unfortunately, the Gobi Desert entity does not have any geographical coordinates or geometry information in the Freebase knowledge graph. Given this limitation, we can provide the information that the Gobi Desert is located in Mongolia, which is the best we can do with the available data.

Let's finalize the answer with this information.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?spouse WHERE {
  fb:m.0hz_1 fb:people.person.relations ?relation .
  ?relation fb:people.relation.object ?spouse .
  ?relation fb:people.relation.type fb:people.marriage
}

Despite multiple attempts using different properties and relationships, the Freebase knowledge graph does not seem to contain information about Michael J. Fox's wife. The properties and relationships used did not return any results.

[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 michael j fox wife?

[Assistant]
To answer the question about Michael J. Fox's wife, I need to identify Michael J. Fox in the knowledge graph and then find his spouse. Let's start by searching for Michael J. Fox.

### Step 1: Identify Michael J. Fox
I will search for Michael J. Fox in the Freebase knowledge graph.

#### Search for Michael J. Fox
I will use the `fb:name` property to find Michael J. Fox.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the exact name "Michael J. Fox" did not yield any results. Let's try a more flexible search by looking for entities with a label that matches "Michael J. Fox" or "Michael Fox".

### Step 2: Flexible Search for Michael J. Fox
I will use the `rdfs:label` property to find Michael J. Fox.

#### Flexible Search for Michael J. Fox
I will use the `rdfs:label` property to find Michael J. Fox.

[Tool]
Got 19 rows and 1 column, showing the first 5 and last 5 rows below:
| ?person                       |
| ----------------------------- |
| Michael J. Fox (fb:m.011hxr0) |
| Michael J. Fox (fb:m.05dfj_z) |
| Michael J. Fox (fb:m.05dmr16) |
| Michael J. Fox (fb:m.06bdrzy) |
| Michael J. Fox (fb:m.06xbxwz) |
| ...                           |
| Michael J. Fox (fb:m.0j7b8bh) |
| Michael J. Fox (fb:m.0ktw99c) |
| Michael J. Fox (fb:m.0mzjvtz) |
| Michael J. Fox (fb:m.0wky0jn) |
| Michael J. Fox (fb:m.0ysgty5) |

[Assistant]
There are multiple entities with the label "Michael J. Fox". To ensure we select the correct one, I will filter the results to find the most well-known Michael J. Fox, who is the actor. I will check the type of each entity to see if it matches "actor" or "person".

### Step 3: Filter Michael J. Fox Entities
I will filter the entities to find the one that is an actor or person.

#### Filter Michael J. Fox Entities
I will use the `fb:type.object.type` property to filter the entities.

[Tool]
Got 2 rows and 1 column:
| ?person                       |
| ----------------------------- |
| Michael J. Fox (fb:m.0bbfbmy) |
| Michael J. Fox (fb:m.0hz_1)   |

[Assistant]
We have two entities that match "Michael J. Fox" and are of type "person". To further narrow down, I will check which of these entities has a profession or occupation that includes acting.

### Step 4: Identify the Actor Michael J. Fox
I will check the occupation of each entity to confirm which one is the actor.

#### Check Occupation
I will use the `fb:people.person.profession` property to check the occupation of each entity.

[Tool]
Got 6 rows and 2 columns:
| ?person                       | ?occupation                       |
| ----------------------------- | --------------------------------- |
| Michael J. Fox (fb:m.0bbfbmy) | Sound Editor (fb:m.01pvkk)        |
| Michael J. Fox (fb:m.0hz_1)   | Film Producer (fb:m.01d_h8)       |
| Michael J. Fox (fb:m.0hz_1)   | Actor (fb:m.02hrh1q)              |
| Michael J. Fox (fb:m.0hz_1)   | Television producer (fb:m.03gjzk) |
| Michael J. Fox (fb:m.0hz_1)   | Author (fb:m.0kyk)                |
| Michael J. Fox (fb:m.0hz_1)   | Voice Actor (fb:m.0np9r)          |

[Assistant]
The entity `Michael J. Fox (fb:m.0hz_1)` has multiple occupations, including "Actor". This confirms that this is the correct Michael J. Fox, the actor.

### Step 5: Find Michael J. Fox's Wife
Now that we have identified the correct Michael J. Fox, I will find his wife by looking for the `fb:people.person.spouse` property.

#### Find Michael J. Fox's Wife
I will use the `fb:people.person.spouse` property to find his wife.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the `fb:people.person.spouse` property does not directly provide the information about Michael J. Fox's wife. Let's try a different approach by looking for relationships where Michael J. Fox is involved.

### Step 6: Find Michael J. Fox's Spouse Using Relationships
I will look for relationships where Michael J. Fox is involved and check if any of them indicate a spouse.

#### Find Michael J. Fox's Spouse Using Relationships
I will use the `fb:relationship` property to find his spouse.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that the relationship data is also not providing the information about Michael J. Fox's wife. Let's try another approach by looking for the spouse through the `fb:people.person.relations` property, which might include more detailed information about his relationships.

### Step 7: Find Michael J. Fox's Spouse Using Detailed Relations
I will use the `fb:people.person.relations` property to find his spouse.

#### Find Michael J. Fox's Spouse Using Detailed Relations
I will use the `fb:people.person.relations` property to find his spouse.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that even the detailed relations approach did not yield any results. Given the constraints of the Freebase knowledge graph, it might be that the specific information about Michael J. Fox's wife is not available in the current dataset.

### Conclusion
Since I have tried multiple approaches and none of them returned the expected result, I will conclude that the information about Michael J. Fox's wife is not available in the Freebase knowledge graph.

#### Final Answer
I will provide a detailed explanation and my best attempt at the SPARQL query.

[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] when does the vietnam war end?

[Assistant] To answer the question about when the Vietnam War ended, I need to identify the entity representing the Vietnam War and then find the property that indicates its end date. Let's start by searching for the entity representing the Vietnam War.

[Tool]
Got 8 rows and 1 column:
| ?war                        |
| --------------------------- |
| Vietnam War (fb:m.0126tn27) |
| Vietnam War (fb:m.0126yztd) |
| Vietnam War (fb:m.04w9w7g)  |
| Vietnam War (fb:m.05hr0qy)  |
| Vietnam War (fb:m.07_nf)    |
| Vietnam War (fb:m.07q10j8)  |
| Vietnam War (fb:m.0bkmwwm)  |
| Vietnam War (fb:m.0j1g15s)  |

[Assistant]
I found multiple entities labeled as "Vietnam War." To ensure accuracy, I will check the properties of these entities to see which one has a clear end date. I'll start with the first one and proceed from there.

Let's check the properties of the first entity `fb:m.0126tn27`.

[Tool]
Got 13 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?property                                    | ?value                                                                  |
| -------------------------------------------- | ----------------------------------------------------------------------- |
| fbkey:dataworld.freeq                        | job_4f6039a8-17c2-4f8b-93f0-d4ee...96-a57c-aa37ca3c07c8$003A$003A16     |
| fb:music.release_track.disc_number           | 1                                                                       |
| fb:music.release_track.number_on_disc        | 16                                                                      |
| Recording (fb:music.release_track.recording) | Vietnam War (fb:m.0126yztd)                                             |
| Release (fb:music.release_track.release)     | Lee Daniels' the Butler (Music From the Original Score) (fb:m.0126pt6c) |
| ...                                          | ...                                                                     |
| Type (fb:type.object.type)                   | Topic (fb:common.topic)                                                 |
| Type (fb:type.object.type)                   | Release track (fb:music.release_track)                                  |
| rdf:type                                     | Topic (fb:common.topic)                                                 |
| rdf:type                                     | Release track (fb:music.release_track)                                  |
| rdfs:label                                   | Vietnam War                                                             |

[Assistant]
It appears that the entity `fb:m.0126tn27` is not the correct one for the Vietnam War, as it seems to be related to a music release track. Let's try the next entity, `fb:m.0126yztd`.

I will check the properties of `fb:m.0126yztd` to see if it has an end date.

[Tool]
Got 25 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?property                                     | ?value                                                              |
| --------------------------------------------- | ------------------------------------------------------------------- |
| fbkey:authority.musicbrainz                   | 3273f934-adf1-4896-a57c-aa37ca3c07c8                                |
| fbkey:authority.musicbrainz.recording         | 3273f934-adf1-4896-a57c-aa37ca3c07c8                                |
| fbkey:dataworld.freeq                         | job_4f6039a8-17c2-4f8b-93f0-d4ee...f934-adf1-4896-a57c-aa37ca3c07c8 |
| Notable for (fb:common.topic.notable_for)     | fb:g.11b75mjn79                                                     |
| Notable types (fb:common.topic.notable_types) | Musical Recording (fb:m.0kpv11)                                     |
| ...                                           | ...                                                                 |
| rdf:type                                      | Non-Agent (fb:base.type_ontology.non_agent)                         |
| rdf:type                                      | Topic (fb:common.topic)                                             |
| rdf:type                                      | Musical Recording (fb:music.recording)                              |
| rdf:type                                      | Canonical Version (fb:music.single)                                 |
| rdfs:label                                    | Vietnam War                                                         |

[Assistant]
It seems that `fb:m.0126yztd` is also not the correct entity for the Vietnam War, as it appears to be a musical recording. Let's try the next entity, `fb:m.04w9w7g`.

I will check the properties of `fb:m.04w9w7g` to see if it has an end date.

[Tool]
Got 34 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?property                                | ?value                              |
| ---------------------------------------- | ----------------------------------- |
| fbkey:authority.openlibrary.book         | OL9405739M                          |
| fbkey:base.ranker.rankerurlname          | vietnam-war$002F245356              |
| Genre (fb:book.book.genre)               | Children's literature (fb:m.0dwly)  |
| Author (fb:book.written_work.author)     | Maurice Isserman (fb:m.04jn5ky)     |
| Subjects (fb:book.written_work.subjects) | Vietnam (fb:m.01crd5)               |
| ...                                      | ...                                 |
| rdf:type                                 | Topic (fb:base.vietnamwar.topic)    |
| rdf:type                                 | Book (fb:book.book)                 |
| rdf:type                                 | Written Work (fb:book.written_work) |
| rdf:type                                 | Topic (fb:common.topic)             |
| rdfs:label                               | Vietnam War                         |

[Assistant]
It seems that `fb:m.04w9w7g` is also not the correct entity for the Vietnam War, as it appears to be a book. Let's try the next entity, `fb:m.05hr0qy`.

I will check the properties of `fb:m.05hr0qy` to see if it has an end date.

[Tool]
Got 34 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?property                                              | ?value                                                              |
| ------------------------------------------------------ | ------------------------------------------------------------------- |
| fbkey:base                                             | vietnamwar                                                          |
| Article (fb:common.topic.article)                      | fb:m.05hr0q9                                                        |
| Description (fb:common.topic.description)              | Welcome to Vietnam War, a shared...rt of building and improving it! |
| Base Type (fb:freebase.domain_profile.base_type)       | Topic (fb:m.05hr0r7)                                                |
| Expert Group (fb:freebase.domain_profile.expert_group) | Vietnam War Experts (fb:m.05hr0qs)                                  |
| ...                                                    | ...                                                                 |
| Type (fb:type.object.type)                             | Domain Profile (fb:freebase.domain_profile)                         |
| Type (fb:type.object.type)                             | Domain (fb:type.domain)                                             |
| rdf:type                                               | Domain Profile (fb:freebase.domain_profile)                         |
| rdf:type                                               | Domain (fb:type.domain)                                             |
| rdfs:label                                             | Vietnam War                                                         |

[Assistant]
It seems that `fb:m.05hr0qy` is also not the correct entity for the Vietnam War, as it appears to be a domain profile. Let's try the next entity, `fb:m.07_nf`.

I will check the properties of `fb:m.07_nf` to see if it has an end date.

[Tool]
Got 100 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?property                | ?value                                                              |
| ------------------------ | ------------------------------------------------------------------- |
| fbkey:en                 | vietnam_war                                                         |
| fbkey:user.avh.ellerdale | 0080-a019                                                           |
| fbkey:wikipedia.ar       | $0627$0644$062D$0631$0628_$0627$...4A$062A$0646$0627$0645$064A$0629 |
| fbkey:wikipedia.ar       | $062D$0631$0628_$0627$0644$0641$064A$062A$0646$0627$0645            |
| fbkey:wikipedia.ar       | $062D$0631$0628_$0641$064A$062A$0646$0627$0645                      |
| ...                      | ...                                                                 |
| fbkey:wikipedia.es       | La_guerra_de_Vietnam                                                |
| fbkey:wikipedia.es       | Segunda_Guerra_de_Indochina                                         |
| fbkey:wikipedia.es       | Segunda_Guerra_Indochina                                            |
| fbkey:wikipedia.es_id    | 8251                                                                |
| fbkey:wikipedia.es_title | Guerra_de_Vietnam                                                   |

[Assistant]
It seems that `fb:m.07_nf` is also not the correct entity for the Vietnam War, as it appears to be a Wikipedia page reference. Let's try the next entity, `fb:m.07q10j8`.

I will check the properties of `fb:m.07q10j8` to see if it has an end date.

[Tool]
Got 8 rows and 2 columns:
| ?property                          | ?value                                   |
| ---------------------------------- | ---------------------------------------- |
| fbkey:user.jamie.wordnet.word      | Vietnam$0020War                          |
| Sense (fb:base.wordnet.word.sense) | fb:m.07q10j1                             |
| Word (fb:base.wordnet.word.word)   | Vietnam$0020War                          |
| Key (fb:type.object.key)           | /user/jamie/wordnet/word/Vietnam$0020War |
| Name (fb:type.object.name)         | Vietnam War                              |
| Type (fb:type.object.type)         | word (fb:base.wordnet.word)              |
| rdf:type                           | word (fb:base.wordnet.word)              |
| rdfs:label                         | Vietnam War                              |

[Assistant]
It seems that `fb:m.07q10j8` is also not the correct entity for the Vietnam War, as it appears to be a word entry. Let's try the next entity, `fb:m.0bkmwwm`.

I will check the properties of `fb:m.0bkmwwm` to see if it has an end date.

[Tool]
Got 9 rows and 2 columns:
| ?property                                    | ?value                                                  |
| -------------------------------------------- | ------------------------------------------------------- |
| fbkey:uri                                    | http$003A$002F$002Fwww$002Evietnamwar$002Ecom$002F      |
| Annotations (fb:common.resource.annotations) | fb:m.05hmy40                                            |
| Annotations (fb:common.resource.annotations) | fb:m.05hmynp                                            |
| Annotations (fb:common.resource.annotations) | fb:m.05hmzbg                                            |
| Key (fb:type.object.key)                     | /uri/http$003A$002F$002Fwww$002Evietnamwar$002Ecom$002F |
| Name (fb:type.object.name)                   | Vietnam War                                             |
| Type (fb:type.object.type)                   | Resource (fb:common.resource)                           |
| rdf:type                                     | Resource (fb:common.resource)                           |
| rdfs:label                                   | Vietnam War                                             |

[Assistant]
It seems that `fb:m.0bkmwwm` is also not the correct entity for the Vietnam War, as it appears to be a web resource. Let's try the last entity, `fb:m.0j1g15s`.

I will check the properties of `fb:m.0j1g15s` to see if it has an end date.


PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?region WHERE {
  ?region fb:location.location.contains fb:m.02k54 .
  ?region rdf:type fb:location.region
}

The Middle East.

[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 region of the world is egypt associated with?

[Assistant] To answer the question about the region of the world Egypt is associated with, I need to identify the entity for Egypt and then find the region it belongs to. Let's start by searching for the entity representing Egypt in the Freebase knowledge graph.

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

[Assistant]
I found the entity for Egypt in the Freebase knowledge graph, which is `fb:m.02k54`. Next, I need to find the region or continent that Egypt is associated with. I will look for properties that might link Egypt to a region or continent.

Let's try to find the continent first.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the property `fb:location.location.continent` does not directly link Egypt to a continent in the Freebase knowledge graph. Let's try another approach by looking for the region or subregion that Egypt is part of.

I will check if there is a property that links Egypt to a region or subregion.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that the property `fb:location.location.region` also does not directly link Egypt to a region in the Freebase knowledge graph. Let's try to find the broader geographical context by looking for the country's membership in a larger geographical entity, such as a continent or a geopolitical region.

I will check if there is a property that links Egypt to a continent or a geopolitical region.

[Tool]
Got 654 rows and 1 column, showing the first 5 and last 5 rows below:
| ?geographicalEntity                   |
| ------------------------------------- |
| fb:g.11b6_vxprc                       |
| fb:g.11dyk05bz                        |
| fb:g.11_yxyj_3                        |
| fb:g.121jc3zq                         |
| fb:g.12221wvx                         |
| ...                                   |
| Jabal Hulayfiyah (fb:m.0wkqz1n)       |
| Naama Bay (fb:m.0wr27g_)              |
| Dalga (fb:m.0wzzv2w)                  |
| Tanis Royal Necropolis (fb:m.0_zbn6v) |
| Garbage City (fb:m.0zdlhy3)           |

[Assistant]
The query returned a large number of geographical entities that are contained within Egypt, which is not what we need. Instead, we should look for the higher-level geographical entity that contains Egypt, such as a continent or a region.

Let's try to find the continent or region that contains Egypt by looking for the inverse relationship, where Egypt is part of a larger geographical entity.

[Tool]
Got 2 rows and 1 column:
| ?largerEntity            |
| ------------------------ |
| Arab world (fb:m.0150_4) |
| Middle East (fb:m.04wsz) |

[Assistant]
The query returned two larger geographical entities that contain Egypt: the Arab world and the Middle East. These are both regions that Egypt is associated with.

To provide a more specific answer, I will also check if Egypt is part of a continent. Let's try to find the continent that Egypt is located in.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the Freebase knowledge graph does not directly link Egypt to a continent using the `fb:location.location.contains` property. However, we have already identified that Egypt is part of the Arab world and the Middle East, which are regions.

Since the question asks for the region of the world Egypt is associated with, and we have found that Egypt is part of the Middle East, we can use this information to answer the question.

Here is the final SPARQL query to answer the question:

```sparql
SELECT ?region WHERE {
  ?region fb:location.location.contains fb:m.02k54 .
  ?region rdf:type fb:location.region .
}
```

This query will return the region that Egypt is associated with.

Let's execute this query to confirm the result.

[Tool]
Got 1 row and 1 column:
| ?region                  |
| ------------------------ |
| Middle East (fb:m.04wsz) |

[Assistant]
The query confirms that Egypt is associated with the Middle East region.

Therefore, the answer to the question "What region of the world is Egypt associated with?" is the Middle East.

Here is the final SPARQL query and answer:

```sparql
SELECT ?region WHERE {
  ?region fb:location.location.contains fb:m.02k54 .
  ?region rdf:type fb:location.region .
}
```

Answer: The Middle East.

[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] who played meg in season 1 of family guy?

[Assistant]
To answer the question "Who played Meg in season 1 of Family Guy?", we need to identify the following entities and properties:
1. The TV show "Family Guy".
2. The character "Meg".
3. The concept of seasons in a TV show.
4. The voice actor who played the character "Meg" in season 1.

Let's start by searching for the entity "Family Guy" in the Freebase knowledge graph.

[Tool]
Got 11 rows and 1 column, showing the first 5 and last 5 rows below:
| ?show                     |
| ------------------------- |
| Family Guy (fb:m.019nnl)  |
| Family Guy (fb:m.02hl47l) |
| Family Guy (fb:m.02hmgjf) |
| Family Guy (fb:m.02hmk2_) |
| Family Guy (fb:m.03h4kfn) |
| ...                       |
| Family Guy (fb:m.08vrpct) |
| Family Guy (fb:m.08vskvs) |
| Family Guy (fb:m.08vyqxg) |
| Family Guy (fb:m.08w0ww1) |
| Family Guy (fb:m.0y45y_t) |

[Assistant] It looks like there are multiple entities with the name "Family Guy". We need to find the correct one that represents the TV show. Let's try to filter these results by checking if they are instances of a TV show.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that none of the entities with the name "Family Guy" are directly typed as a TV show. Let's try another approach by looking for the main entity of "Family Guy" and then checking its type.

We can also try to find the character "Meg" and see if it is associated with any of these "Family Guy" entities.

Let's search for the character "Meg" in the context of "Family Guy".


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?championship ?year ?winner WHERE {
  ?championship fb:sports.sports_championship.league fb:m.01c6f1 .
  ?championship fb:sports.sports_championship.year ?year .
  ?championship fb:sports.sports_championship.winner ?winner .
  ?winner fb:type.object.name 'Houston Rockets' @en
}
ORDER BY ASC ( ?year )
LIMIT 1

The Freebase knowledge graph does not contain the specific information needed to determine the year the Houston Rockets won their first championship. The searches for the Houston Rockets and their championships did not yield any results, indicating that the data might not be present or structured in a way that allows for this 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] what year did houston rockets win their first championship?

[Assistant] To answer the question about when the Houston Rockets won their first championship, I need to identify the entity for the Houston Rockets and then find out the year they won their first NBA championship. Let's start by searching for the Houston Rockets entity.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the search for the Houston Rockets entity did not return any results. This might be due to the team being referred to differently in the knowledge graph. Let me try a different approach by searching for the team directly using a more general property.

I will search for the Houston Rockets using the `fb:sports.sports_team.name` property.

[Tool] Got no rows and 1 columns

[Assistant]
The search for the Houston Rockets using the `fb:sports.sports_team.name` property also did not return any results. This suggests that the team might be represented differently in the knowledge graph.

Let me try another approach by searching for the Houston Rockets using the `fb:sports.sports_team.short_name` property, which might be more likely to match.

[Tool] Got no rows and 1 columns

[Assistant]
Unfortunately, the search using the `fb:sports.sports_team.short_name` property also did not return any results. This indicates that the Houston Rockets might not be represented in the Freebase knowledge graph in the way I expected.

Given these results, I will try a more general search for the Houston Rockets to see if I can find any related entities or properties that might help me identify the team.

Let me perform a broader search for the Houston Rockets.

[Tool]
Got 6 rows and 3 columns:
| ?entity                        | ?property                                                                | ?value |
| ------------------------------ | ------------------------------------------------------------------------ | ------ |
| fb:m.0101mlb1                  | Notes/Description (fb:award.award_honor.notes_description)               |        |
| Houston Rockets (fb:m.06fxp3c) | Name (fb:type.object.name)                                               |        |
| Houston Rockets (fb:m.06fxp3c) | rdfs:label                                                               |        |
| Houston Rockets (fb:m.0jmfb)   | Daylife Topic Name (fb:base.daylifetopics.daylife_id.daylife_topic_name) |        |
| Houston Rockets (fb:m.0jmfb)   | Name (fb:type.object.name)                                               |        |
| Houston Rockets (fb:m.0jmfb)   | rdfs:label                                                               |        |

[Assistant]
The broader search has returned some relevant results. There are multiple entities that seem to represent the Houston Rockets:

1. `fb:m.06fxp3c`
2. `fb:m.0jmfb`

I will use these entities to find out when the Houston Rockets won their first championship. Specifically, I will look for the year they won the NBA championship.

Let's start with `fb:m.06fxp3c` and check if it has any information about championships.

[Tool] Got no rows and 1 columns

[Assistant] The search for championships using the entity `fb:m.06fxp3c` did not return any results. Let me try the other entity, `fb:m.0jmfb`, to see if it has the information we need.

[Tool] Got no rows and 1 columns

[Assistant]
The search for championships using the entity `fb:m.0jmfb` also did not return any results. This suggests that the Houston Rockets might not have a direct property for championships in the Freebase knowledge graph.

Given these results, I will try a different approach by looking for the NBA championships and then checking if the Houston Rockets were involved in those championships.

Let me search for NBA championships and see if I can find the Houston Rockets among the winners.

[Tool] Got no rows and 3 columns

[Assistant]
The search for NBA championships where the Houston Rockets were the winners did not return any results. This suggests that the Houston Rockets might not be directly linked to the championships in the Freebase knowledge graph.

Given these results, it seems that the Freebase knowledge graph does not have the specific information needed to answer the question about when the Houston Rockets won their first championship.

Since I cannot find a satisfactory SPARQL query to answer the question, I will provide an explanation and my best attempt at a query.

**Explanation:**
The Freebase knowledge graph does not contain the specific information needed to determine the year the Houston Rockets won their first championship. The searches for the Houston Rockets and their championships did not yield any results, indicating that the data might not be present or structured in a way that allows for this query.

**Best Attempt:**
```sparql
SELECT ?championship ?year ?winner WHERE {
  ?championship fb:sports.sports_championship.league fb:m.01c6f1 .
  ?championship fb:sports.sports_championship.year ?year .
  ?championship fb:sports.sports_championship.winner ?winner .
  ?winner fb:type.object.name 'Houston Rockets'@en
} ORDER BY ASC(?year) LIMIT 1
```

I will now call the `cancel` function to indicate that I could not find a satisfactory SPARQL query.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?president WHERE {
  ?president fb:people.person.title 'President' @en .
  ?president fb:people.person.nationality fb:m.03spz
}

Despite trying multiple approaches, including searching for the current leader, the government position held, and the person with the title 'President' and nationality of Israel, none of the queries returned any results. This suggests that the data in Freebase may be incomplete or not structured in a way that allows us to easily find the current president of Israel.

[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 president of israel?

[Assistant] To answer the question "Who is the president of Israel?", we need to identify the entity for Israel and the property for the president or head of state. Let's start by searching for the entity representing Israel.

[Tool]
Got 451 rows and 1 column, showing the first 5 and last 5 rows below:
| ?israel                                       |
| --------------------------------------------- |
| Israel (fb:base.apartmentsinjerusalem.israel) |
| Israel (fb:g.11b7_lp__3)                      |
| Israel (fb:g.11b81rqsln)                      |
| Israel (fb:g.11b81s3p0g)                      |
| Israel (fb:g.11b8c66_tt)                      |
| ...                                           |
| Israel (fb:m.0zsgjnc)                         |
| Israel (fb:m.0zskpdc)                         |
| Israel (fb:m.0_zsn_5)                         |
| Israel (fb:m.0zxn5qx)                         |
| Israel (fb:m.0_zyvr2)                         |

[Assistant] There are multiple entities returned for "Israel". We need to filter these to find the most relevant one, which is likely to be the country. Let's try to narrow down the results by checking the type of each entity.

[Tool]
Got 10 rows and 2 columns:
| ?israel                                       | ?type                                       |
| --------------------------------------------- | ------------------------------------------- |
| Israel (fb:base.apartmentsinjerusalem.israel) | rdfs:Class                                  |
| Israel (fb:g.11b7_lp__3)                      | Topic (fb:common.topic)                     |
| Israel (fb:g.11b7_lp__3)                      | Release track (fb:music.release_track)      |
| Israel (fb:g.11b81rqsln)                      | Topic (fb:common.topic)                     |
| Israel (fb:g.11b81rqsln)                      | Release track (fb:music.release_track)      |
| Israel (fb:g.11b81s3p0g)                      | Abstract (fb:base.type_ontology.abstract)   |
| Israel (fb:g.11b81s3p0g)                      | Non-Agent (fb:base.type_ontology.non_agent) |
| Israel (fb:g.11b81s3p0g)                      | Topic (fb:common.topic)                     |
| Israel (fb:g.11b81s3p0g)                      | Musical Recording (fb:music.recording)      |
| Israel (fb:g.11b8c66_tt)                      | Topic (fb:common.topic)                     |

[Assistant] It seems that many of the entities are not the country of Israel. We need to find the entity that represents the country. Let's try to filter by the type `Country` or `Nation`.

[Tool]
Got 1 row and 1 column:
| ?israel             |
| ------------------- |
| Israel (fb:m.03spz) |

[Assistant] We have identified the correct entity for Israel, which is `fb:m.03spz`. Now, we need to find the property that represents the president or head of state. Let's search for the property that links a country to its president.

[Tool] Got no rows and 1 columns

[Assistant] It seems that the direct property linking Israel to its president is not immediately clear. Let's try to find a more specific property related to the head of state or president. We can also look for properties that might be used to describe leadership roles in general.

[Tool] Got no rows and 1 columns

[Assistant] It appears that there are no direct properties linking Israel to its president or head of state. Let's try a different approach by searching for the current president of Israel directly. We can look for a person who has the role of president and is associated with Israel.

[Tool] Got no rows and 1 columns

[Assistant] It seems that the property `fb:people.person.presidency` is not being used to link the president to Israel. Let's try another approach by looking for the current leader or head of state of Israel. We can use the property `fb:government.government_position_held.holder` to find the person holding the position of president.

[Tool] Got no rows and 1 columns

[Assistant] It seems that the property `fb:government.government_position_held.office` is also not being used to link the president to Israel. Let's try a more general approach by looking for the current head of state or president of Israel using the property `fb:government.government_position_held.position_or_title` and filtering by the title "President" or "Head of State".

[Tool] Got no rows and 1 columns

[Assistant]
It seems that even the more specific approach did not yield any results. Let's try a different strategy by looking for the current leader of Israel and then checking their role or title to see if they are the president.

We can start by finding the current leader of Israel and then check their role or title.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the approach of finding the current leader and their role is also not yielding any results. Given the complexity and the lack of direct properties, let's try a more direct search for the current president of Israel by looking for a person who holds the title "President" and is associated with Israel in some way.

Let's try a simpler query to find the current president of Israel by searching for the person who holds the title "President" and is associated with the country of Israel.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that even this simpler approach is not yielding any results. Given the complexity and the lack of direct properties, it might be that the data in Freebase is incomplete or not structured in a way that allows us to easily find the current president of Israel.

Since we have tried multiple approaches and none have been successful, I will provide my best attempt at a SPARQL query and explain why it did not work.

### Best Attempt
```sparql
SELECT ?president WHERE {
  ?president fb:people.person.title 'President'@en .
  ?president fb:people.person.nationality fb:m.03spz
}
```

### Explanation
Despite trying multiple approaches, including searching for the current leader, the government position held, and the person with the title "President" and nationality of Israel, none of the queries returned any results. This suggests that the data in Freebase may be incomplete or not structured in a way that allows us to easily find the current president of Israel.

Given the lack of success, I will cancel the generation process and provide a detailed explanation.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?spouse WHERE {
  fb:m.01xm6k fb:people.person.spouse ?spouse
}

The term 'mary' in the question is unclear, and there is no information in Freebase about Veronica Lake being married or having a significant other. Therefore, I cannot provide a definitive answer to the question.

[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 did veronica lake mary?

[Assistant] To understand the question better, I need to identify who Veronica Lake is and what it means to "mary" someone. I suspect "mary" might be a typo or a specific term related to Veronica Lake. Let's start by searching for Veronica Lake in Freebase.

[Tool]
Got 23 rows and 1 column, showing the first 5 and last 5 rows below:
| ?veronicaLake                |
| ---------------------------- |
| Veronica Lake (fb:m.01f3lrt) |
| Veronica Lake (fb:m.01hyj1b) |
| Veronica Lake (fb:m.01qvd30) |
| Veronica Lake (fb:m.01xm6k)  |
| Veronica Lake (fb:m.036xpwb) |
| ...                          |
| Veronica Lake (fb:m.0mhp6g7) |
| Veronica Lake (fb:m.0rsrvdy) |
| Veronica Lake (fb:m.0xg8r1h) |
| Veronica Lake (fb:m.0y1x7bg) |
| Veronica Lake (fb:m.0zjkz3s) |

[Assistant] I found multiple entries for Veronica Lake in Freebase. To narrow down the correct entity, I will look for the most common or well-known Veronica Lake, which is likely the American actress. I will check the type of each entity to see if any of them are persons.

[Tool]
Got 5 rows and 2 columns:
| ?veronicaLake                | ?type                                       |
| ---------------------------- | ------------------------------------------- |
| Veronica Lake (fb:m.01f3lrt) | Abstract (fb:base.type_ontology.abstract)   |
| Veronica Lake (fb:m.01f3lrt) | Non-Agent (fb:base.type_ontology.non_agent) |
| Veronica Lake (fb:m.01f3lrt) | Topic (fb:common.topic)                     |
| Veronica Lake (fb:m.01f3lrt) | Musical Recording (fb:music.recording)      |
| Veronica Lake (fb:m.01f3lrt) | Canonical Version (fb:music.single)         |

[Assistant]
It seems that the first entry for Veronica Lake (fb:m.01f3lrt) is not the person we are looking for, as it is classified as a musical recording. Let's try another entry and check its types to see if it is a person.

I will now check the second entry (fb:m.01hyj1b).

[Tool]
Got 5 rows and 2 columns:
| ?veronicaLake                | ?type                                       |
| ---------------------------- | ------------------------------------------- |
| Veronica Lake (fb:m.01hyj1b) | Abstract (fb:base.type_ontology.abstract)   |
| Veronica Lake (fb:m.01hyj1b) | Inanimate (fb:base.type_ontology.inanimate) |
| Veronica Lake (fb:m.01hyj1b) | Non-Agent (fb:base.type_ontology.non_agent) |
| Veronica Lake (fb:m.01hyj1b) | Topic (fb:common.topic)                     |
| Veronica Lake (fb:m.01hyj1b) | Musical Album (fb:music.album)              |

[Assistant] The second entry (fb:m.01hyj1b) also does not seem to be the person we are looking for, as it is classified as a musical album. Let's try the third entry (fb:m.01qvd30) and check its types.

[Tool]
Got 5 rows and 2 columns:
| ?veronicaLake                | ?type                                     |
| ---------------------------- | ----------------------------------------- |
| Veronica Lake (fb:m.01qvd30) | Abstract (fb:base.type_ontology.abstract) |
| Veronica Lake (fb:m.01qvd30) | Agent (fb:base.type_ontology.agent)       |
| Veronica Lake (fb:m.01qvd30) | Topic (fb:common.topic)                   |
| Veronica Lake (fb:m.01qvd30) | Musical Artist (fb:music.artist)          |
| Veronica Lake (fb:m.01qvd30) | Musical Group (fb:music.musical_group)    |

[Assistant] The third entry (fb:m.01qvd30) is also not the person we are looking for, as it is classified as a musical artist and group. Let's try the fourth entry (fb:m.01xm6k) and check its types.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?veronicaLake               | ?type                                               |
| --------------------------- | --------------------------------------------------- |
| Veronica Lake (fb:m.01xm6k) | Topic (fb:base.allthingsnewyork.topic)              |
| Veronica Lake (fb:m.01xm6k) | Topic (fb:base.filmnoir.topic)                      |
| Veronica Lake (fb:m.01xm6k) | icon (fb:base.icons.icon)                           |
| Veronica Lake (fb:m.01xm6k) | Topic (fb:base.icons.topic)                         |
| Veronica Lake (fb:m.01xm6k) | Celebrity (fb:base.popstra.celebrity)               |
| ...                         | ...                                                 |
| Veronica Lake (fb:m.01xm6k) | Deceased Person (fb:people.deceased_person)         |
| Veronica Lake (fb:m.01xm6k) | Person (fb:people.person)                           |
| Veronica Lake (fb:m.01xm6k) | TV Actor (fb:tv.tv_actor)                           |
| Veronica Lake (fb:m.01xm6k) | NNDB Person (fb:user.narphorium.people.nndb_person) |
| Veronica Lake (fb:m.01xm6k) | Topic (fb:user.narphorium.people.topic)             |

[Assistant]
The fourth entry (fb:m.01xm6k) appears to be the correct Veronica Lake, as it is classified as a person, celebrity, and TV actor. Now, let's clarify what "mary" means in the context of Veronica Lake. It could be a typo or a specific term. I will assume it might be a typo for "marry" and look for her spouse or significant other.

Let's check if Veronica Lake was married and to whom.

[Tool] Got no rows and 1 columns

[Assistant] It seems that there is no information about Veronica Lake being married in Freebase. However, she might have had significant others or partners who were not officially her spouses. Let's check for any relationships or significant others.

[Tool] Got no rows and 1 columns

[Assistant]
There is no information in Freebase about Veronica Lake having a significant other either. Given the lack of information about her marriage or significant others, it seems that the term "mary" might not be related to a relationship in this context.

Since the term "mary" is not clear and there is no information about Veronica Lake's marriage or significant others, I will provide a response indicating that there is no clear information available.

I will also include the best attempt at a SPARQL query to show the effort made.

[Tool] Stopped generation process