Gulbenkian Science Institute
E250734
The Gulbenkian Science Institute is a leading Portuguese research center focused on cutting-edge biological and biomedical sciences.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Instituto Gulbenkian de Ciência | 4 |
| Gulbenkian Science Institute canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T2279121 — 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: Gulbenkian Science Institute Context triple: [Calouste Gulbenkian Foundation, hasPart, Gulbenkian Science Institute]
-
A.
NOVA School of Science and Technology
NOVA School of Science and Technology is a leading Portuguese engineering and science school of NOVA University Lisbon, known for its strong research output and innovative academic programs.
-
B.
Academia das Ciências de Lisboa
Academia das Ciências de Lisboa is Portugal’s national academy of sciences, a scholarly institution that plays a central role in promoting scientific research and overseeing linguistic and cultural standards.
-
C.
Cidade Universitária de Lisboa
Cidade Universitária de Lisboa is the main university campus area in Lisbon that concentrates many of the University of Lisbon’s faculties and research institutions.
-
D.
NOVA University Lisbon
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.
-
E.
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.
- 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: Gulbenkian Science Institute Target entity description: The Gulbenkian Science Institute is a leading Portuguese research center focused on cutting-edge biological and biomedical sciences.
-
A.
NOVA School of Science and Technology
NOVA School of Science and Technology is a leading Portuguese engineering and science school of NOVA University Lisbon, known for its strong research output and innovative academic programs.
-
B.
Academia das Ciências de Lisboa
Academia das Ciências de Lisboa is Portugal’s national academy of sciences, a scholarly institution that plays a central role in promoting scientific research and overseeing linguistic and cultural standards.
-
C.
Cidade Universitária de Lisboa
Cidade Universitária de Lisboa is the main university campus area in Lisbon that concentrates many of the University of Lisbon’s faculties and research institutions.
-
D.
NOVA University Lisbon
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.
-
E.
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.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
biological research institute
ⓘ
biomedical research institute ⓘ research institute ⓘ |
| collaboratesWith |
Portuguese universities
ⓘ
international research institutions ⓘ |
| country | Portugal ⓘ |
| employs |
PhD students
ⓘ
postdoctoral researchers ⓘ research scientists ⓘ technical staff ⓘ |
| fieldOfWork |
biology
ⓘ
biomedical sciences ⓘ cell biology ⓘ computational biology ⓘ developmental biology ⓘ evolutionary biology ⓘ genetics ⓘ genomics ⓘ immunology ⓘ molecular biology ⓘ neuroscience ⓘ systems biology ⓘ |
| focusesOn |
cutting-edge biological research
ⓘ
cutting-edge biomedical research ⓘ |
| foundedBy | Calouste Gulbenkian Foundation ⓘ |
| hasAbbreviation | IGC ⓘ |
| hasLanguage |
English
ⓘ
Portuguese ⓘ |
| hasMission |
to conduct high-quality research in biological and biomedical sciences
ⓘ
to train the next generation of scientists ⓘ |
| hasOfficialName |
Instituto Gulbenkian de Ciência
ⓘ
linked to:
Gulbenkian Science Institute
|
| hasResearchInfrastructure |
advanced imaging facilities
ⓘ
bioinformatics facilities ⓘ core facilities ⓘ genomics facilities ⓘ |
| hasType | non-profit research institute ⓘ |
| knownFor |
interdisciplinary research in biology
ⓘ
internationally competitive research in life sciences ⓘ training of young scientists ⓘ |
| locatedIn |
Lisbon metropolitan area
ⓘ
Oeiras ⓘ Portugal ⓘ |
| offers |
PhD training
ⓘ
advanced research training programs ⓘ postdoctoral training ⓘ |
| operatedBy | Calouste Gulbenkian Foundation ⓘ |
| partOf |
Calouste Gulbenkian Foundation research network
ⓘ
linked to:
Calouste Gulbenkian Foundation
|
| sector | higher education and research ⓘ |
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: Gulbenkian Science Institute Description of subject: The Gulbenkian Science Institute is a leading Portuguese research center focused on cutting-edge biological and biomedical sciences.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Gulbenkian Science Institute
linked to: Gulbenkian Science Institute
linked to: Gulbenkian Science Institute
linked to: Gulbenkian Science Institute