Université Paris-Est
E354604
Université Paris-Est is a French higher education and research consortium in the Paris region that brings together several universities and prestigious grandes écoles.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Université Paris-Est Créteil Val-de-Marne | 3 |
| Université Paris-Est Marne-la-Vallée | 3 |
| Université Paris XII Val-de-Marne | 1 |
| Université Paris-Est canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1816770 — 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.
Target entity: Université Paris-Est Context triple: [École des Ponts et Chaussées, affiliation, Université Paris-Est]
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A.
Université de Versailles Saint-Quentin-en-Yvelines
Université de Versailles Saint-Quentin-en-Yvelines is a French public university in the Île-de-France region known for its programs in science, engineering, social sciences, and environmental studies.
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B.
Université Paris Cité
Université Paris Cité is a major multidisciplinary public research university in Paris, France, formed from the merger of several historic Parisian institutions and known for its strong programs in science, medicine, and the humanities.
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C.
Université Paris Nanterre
Université Paris Nanterre is a major French public university in the Paris region, known for its strong programs in law, social sciences, and humanities and its historic role in the May 1968 student protests.
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D.
Université Paris-Saclay
Université Paris-Saclay is a leading French research-intensive university cluster near Paris, renowned for its strengths in science, engineering, and innovation.
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E.
University of Orléans
The University of Orléans is a historic French university, renowned as a major Renaissance center for legal and humanist studies that attracted many prominent scholars and reformers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Université Paris-Est Target entity description: Université Paris-Est is a French higher education and research consortium in the Paris region that brings together several universities and prestigious grandes écoles.
-
A.
Université de Versailles Saint-Quentin-en-Yvelines
Université de Versailles Saint-Quentin-en-Yvelines is a French public university in the Île-de-France region known for its programs in science, engineering, social sciences, and environmental studies.
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B.
Université Paris Cité
Université Paris Cité is a major multidisciplinary public research university in Paris, France, formed from the merger of several historic Parisian institutions and known for its strong programs in science, medicine, and the humanities.
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C.
Université Paris Nanterre
Université Paris Nanterre is a major French public university in the Paris region, known for its strong programs in law, social sciences, and humanities and its historic role in the May 1968 student protests.
-
D.
Université Paris-Saclay
Université Paris-Saclay is a leading French research-intensive university cluster near Paris, renowned for its strengths in science, engineering, and innovation.
-
E.
University of Orléans
The University of Orléans is a historic French university, renowned as a major Renaissance center for legal and humanist studies that attracted many prominent scholars and reformers.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
higher education and research cluster
ⓘ
university consortium ⓘ |
| aimsTo |
develop joint degree programs
ⓘ
pool research resources ⓘ promote collaboration between universities and grandes écoles ⓘ strengthen international visibility of member institutions ⓘ |
| coordinatesResearch | interdisciplinary projects ⓘ |
| country | France ⓘ |
| fieldOfWork |
architecture
ⓘ
engineering ⓘ environmental sciences ⓘ life sciences ⓘ social sciences ⓘ transportation ⓘ urban planning ⓘ veterinary medicine ⓘ |
| focusesOn |
higher education
ⓘ
innovation ⓘ scientific research ⓘ technology transfer ⓘ |
| hasAbbreviation | UPE ⓘ |
| hasAcademicLevel | postsecondary ⓘ |
| hasMember |
Centre National de la Recherche Scientifique
ⓘ
surface form:
Centre national de la recherche scientifique
ESIEE Paris ⓘ Institut de recherche pour le développement ⓘ Institut français des sciences et technologies des transports, de l’aménagement et des réseaux ⓘ INSERM ⓘ
surface form:
Institut national de la santé et de la recherche médicale
INRIA ⓘ
surface form:
Institut national de recherche en informatique et en automatique
INRAE ⓘ
surface form:
Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Université Paris-Est self-linksurface differs ⓘ
surface form:
Université Paris-Est Créteil Val-de-Marne
Université Paris-Est self-linksurface differs ⓘ
surface form:
Université Paris-Est Marne-la-Vallée
École des Ponts et Chaussées ⓘ
surface form:
École des Ponts ParisTech
École d’architecture de la ville et des territoires Paris-Est ⓘ École nationale des sciences géographiques ⓘ École nationale vétérinaire d'Alfort ⓘ
surface form:
École nationale vétérinaire d’Alfort
|
| hasType | public institution ⓘ |
| languageOfWork | French ⓘ |
| locatedIn |
Paris region, France
ⓘ
surface form:
Paris region
Île-de-France region ⓘ
surface form:
Île-de-France
|
| offers |
doctoral programs
ⓘ
master’s programs ⓘ |
| partOf | French higher education system ⓘ |
| regionServed | eastern Paris metropolitan area ⓘ |
| sector | public higher education ⓘ |
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.
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.
Subject: Université Paris-Est Description of subject: Université Paris-Est is a French higher education and research consortium in the Paris region that brings together several universities and prestigious grandes écoles.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.