Université de Sherbrooke
E303668
Université de Sherbrooke is a French-language public research university located in Sherbrooke, Quebec, known for its cooperative education programs and strong emphasis on applied research.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Université de Sherbrooke canonical | 7 |
| Université de Sherbrooke Longueuil campus | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T2803469 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Université de Sherbrooke Context triple: [Quebec, hasMajorUniversity, Université de Sherbrooke]
-
A.
Université Laval
Université Laval is a major French-language public research university in Quebec City, recognized for its strong research output and membership in Canada’s leading research-intensive university groups.
-
B.
Université du Québec à Montréal
Université du Québec à Montréal is a major French-language public university known for its urban campus, research activity, and strong presence in the cultural and academic life of Montreal.
-
C.
Université de Montréal
Université de Montréal is a major French-language public research university in Montreal, Canada, renowned for its contributions to fields such as artificial intelligence and deep learning.
-
D.
Université du Québec en Outaouais
Université du Québec en Outaouais is a French-language public university in Quebec that is part of the Université du Québec system and serves the Outaouais region with a range of undergraduate and graduate programs.
-
E.
Université du Québec system
The Université du Québec system is a public network of French-language universities across the province of Quebec that provides higher education and research opportunities through multiple constituent institutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Université de Sherbrooke Target entity description: Université de Sherbrooke is a French-language public research university located in Sherbrooke, Quebec, known for its cooperative education programs and strong emphasis on applied research.
-
A.
Université Laval
Université Laval is a major French-language public research university in Quebec City, recognized for its strong research output and membership in Canada’s leading research-intensive university groups.
-
B.
Université du Québec à Montréal
Université du Québec à Montréal is a major French-language public university known for its urban campus, research activity, and strong presence in the cultural and academic life of Montreal.
-
C.
Université de Montréal
Université de Montréal is a major French-language public research university in Montreal, Canada, renowned for its contributions to fields such as artificial intelligence and deep learning.
-
D.
Université du Québec en Outaouais
Université du Québec en Outaouais is a French-language public university in Quebec that is part of the Université du Québec system and serves the Outaouais region with a range of undergraduate and graduate programs.
-
E.
Université du Québec system
The Université du Québec system is a public network of French-language universities across the province of Quebec that provides higher education and research opportunities through multiple constituent institutions.
- F. None of above. chosen
Statements (52)
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: Université de Sherbrooke Description of subject: Université de Sherbrooke is a French-language public research university located in Sherbrooke, Quebec, known for its cooperative education programs and strong emphasis on applied research.
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Quebec
subject surface form:
Longueuil
this entity surface form:
Université de Sherbrooke Longueuil campus
this entity surface form:
Université de Sherbrooke Longueuil campus
this entity surface form:
Université de Sherbrooke Longueuil campus