NOVA University Lisbon
E19500
NOVA University Lisbon is a leading Portuguese public research university known for its innovative teaching, strong international orientation, and multidisciplinary programs across fields such as science, technology, social sciences, and humanities.
All labels observed (8)
How this entity was disambiguated
This entity first appeared as the object of triple T154677 — 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: NOVA University Lisbon Context triple: [Lisbon, hasUniversity, NOVA University Lisbon]
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A.
University of Lisbon
The University of Lisbon is Portugal’s largest and one of its oldest public universities, renowned for its broad range of academic programs and major role in the country’s research and cultural life.
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B.
Coimbra Group
The Coimbra Group is an association of long-established, high-ranking European universities dedicated to academic collaboration, research excellence, and cultural exchange.
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C.
University of Havana
The University of Havana is Cuba’s oldest and most prestigious higher education institution, renowned for its historic campus and central role in the country’s intellectual and political life.
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D.
University of Turin
The University of Turin is one of Italy’s oldest and most prestigious public universities, renowned for its contributions to the humanities, sciences, and law.
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E.
Iberoamerican University Network
The Iberoamerican University Network is a collaborative association of higher education institutions across Ibero-America that promotes academic cooperation, research, and cultural exchange among its member universities.
- 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: NOVA University Lisbon Target entity description: NOVA University Lisbon is a leading Portuguese public research university known for its innovative teaching, strong international orientation, and multidisciplinary programs across fields such as science, technology, social sciences, and humanities.
-
A.
University of Lisbon
The University of Lisbon is Portugal’s largest and one of its oldest public universities, renowned for its broad range of academic programs and major role in the country’s research and cultural life.
-
B.
Coimbra Group
The Coimbra Group is an association of long-established, high-ranking European universities dedicated to academic collaboration, research excellence, and cultural exchange.
-
C.
University of Havana
The University of Havana is Cuba’s oldest and most prestigious higher education institution, renowned for its historic campus and central role in the country’s intellectual and political life.
-
D.
University of Turin
The University of Turin is one of Italy’s oldest and most prestigious public universities, renowned for its contributions to the humanities, sciences, and law.
-
E.
Iberoamerican University Network
The Iberoamerican University Network is a collaborative association of higher education institutions across Ibero-America that promotes academic cooperation, research, and cultural exchange among its member universities.
- F. None of above. chosen
Statements (51)
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: NOVA University Lisbon Description of subject: NOVA University Lisbon is a leading Portuguese public research university known for its innovative teaching, strong international orientation, and multidisciplinary programs across fields such as science, technology, social sciences, and humanities.
Referenced by (56)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: NOVA University Lisbon
linked to: NOVA University Lisbon
linked to: NOVA University Lisbon
subject linked to:
NOVA
linked to: NOVA University Lisbon
subject linked to:
NOVA
linked to: NOVA University Lisbon
subject linked to:
NOVA University
linked to: NOVA University Lisbon
NOVA Institute of Chemical and Biological Technology
→
academicAffiliation
→
NOVA University Lisbon
ⓘ
linked to: NOVA University Lisbon
linked to: NOVA University Lisbon
linked to: NOVA University Lisbon
Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa
→
partOf
→
Universidade Nova de Lisboa
ⓘ
linked to: NOVA University Lisbon
Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa
→
affiliation
→
NOVA University Lisbon
ⓘ
Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa
→
academicAffiliation
→
NOVA University Lisbon
ⓘ
subject linked to:
Nova SBE
linked to: NOVA University Lisbon
linked to: NOVA University Lisbon
subject linked to:
NMS
linked to: NOVA University Lisbon