Berger International Legal Studies Program
E571696
The Berger International Legal Studies Program is Cornell Law School’s hub for global and comparative legal education, research, and international engagement.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Berger International Legal Studies Program canonical | 1 |
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
academic program
ⓘ
international legal studies program ⓘ |
| academicDiscipline | law ⓘ |
| affiliatedWith | Cornell University NERFINISHED ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| field |
comparative law
ⓘ
international law ⓘ |
| focus |
comparative legal education
ⓘ
global legal education ⓘ international engagement ⓘ international legal research ⓘ |
| languageOfWorkOrName | English ⓘ |
| location | Ithaca, New York NERFINISHED ⓘ |
| mission |
to promote research in international and comparative law
ⓘ
to serve as Cornell Law School’s hub for global and comparative legal education ⓘ to support international engagement by Cornell Law School ⓘ |
| offers |
conferences on international and comparative law
ⓘ
courses in comparative law ⓘ courses in international law ⓘ international programs for students ⓘ lectures on global legal issues ⓘ research opportunities in international law ⓘ |
| partOf | Cornell Law School NERFINISHED ⓘ |
| serves |
Cornell Law School faculty
ⓘ
Cornell Law School students ⓘ |
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: Berger International Legal Studies Program Description of subject: The Berger International Legal Studies Program is Cornell Law School’s hub for global and comparative legal education, research, and international engagement.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.