Fondation Charles-Aubert
E626767
Fondation Charles-Aubert is a philanthropic foundation that supports and promotes excellence in the field of law, notably through its sponsorship of a prestigious legal prize.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Fondation Charles-Aubert canonical | 4 |
Statements (11)
| Predicate | Object |
|---|---|
| instanceOf | philanthropic foundation ⓘ |
| activity |
philanthropy
ⓘ
sponsorship of legal prize ⓘ |
| field | law ⓘ |
| focus |
legal education
ⓘ
legal research ⓘ legal scholarship ⓘ |
| notableFor | sponsoring a prestigious legal prize ⓘ |
| purpose |
promote excellence in the field of law
ⓘ
support excellence in the field of law ⓘ |
| sector | legal sector ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Fondation Charles-Aubert Description of subject: Fondation Charles-Aubert is a philanthropic foundation that supports and promotes excellence in the field of law, notably through its sponsorship of a prestigious legal prize.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.