NOVA Institute of Hygiene and Tropical Medicine
E106467
biomedical research institute
higher education institution
public health institute
research and teaching institution
NOVA Institute of Hygiene and Tropical Medicine is a specialized public health and biomedical research and teaching institution in Lisbon focused on hygiene, tropical medicine, and global health.
All labels observed (2)
| Label | Occurrences |
|---|---|
| NOVA Institute of Hygiene and Tropical Medicine canonical | 1 |
| National School of Public Health (NOVA) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T903718 — 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 Institute of Hygiene and Tropical Medicine Context triple: [NOVA University Lisbon, hasFaculty, NOVA Institute of Hygiene and Tropical Medicine]
-
A.
High Institute of Public Health
The High Institute of Public Health is a specialized academic and research institution in Egypt focused on training professionals and conducting studies in public health and related fields.
-
B.
London School of Hygiene & Tropical Medicine
The London School of Hygiene & Tropical Medicine is a leading postgraduate public health and tropical medicine institution renowned for its research and training in global health.
-
C.
Instituto de Investigaciones Clínicas
Instituto de Investigaciones Clínicas is a medical research institute of the National University of San Marcos in Peru, dedicated to advancing clinical and biomedical science.
-
D.
Academy of Sciences for the Developing World
The Academy of Sciences for the Developing World, now known as The World Academy of Sciences (TWAS), is an international organization that supports scientific excellence and capacity building in developing countries.
-
E.
Division for the Application of Research Discoveries
The Division for the Application of Research Discoveries is a branch of the National Heart, Lung, and Blood Institute focused on translating scientific findings into practical strategies, programs, and tools to improve public health.
- 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 Institute of Hygiene and Tropical Medicine Target entity description: NOVA Institute of Hygiene and Tropical Medicine is a specialized public health and biomedical research and teaching institution in Lisbon focused on hygiene, tropical medicine, and global health.
-
A.
High Institute of Public Health
The High Institute of Public Health is a specialized academic and research institution in Egypt focused on training professionals and conducting studies in public health and related fields.
-
B.
London School of Hygiene & Tropical Medicine
The London School of Hygiene & Tropical Medicine is a leading postgraduate public health and tropical medicine institution renowned for its research and training in global health.
-
C.
Instituto de Investigaciones Clínicas
Instituto de Investigaciones Clínicas is a medical research institute of the National University of San Marcos in Peru, dedicated to advancing clinical and biomedical science.
-
D.
Academy of Sciences for the Developing World
The Academy of Sciences for the Developing World, now known as The World Academy of Sciences (TWAS), is an international organization that supports scientific excellence and capacity building in developing countries.
-
E.
Division for the Application of Research Discoveries
The Division for the Application of Research Discoveries is a branch of the National Heart, Lung, and Blood Institute focused on translating scientific findings into practical strategies, programs, and tools to improve public health.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
biomedical research institute
ⓘ
higher education institution ⓘ public health institute ⓘ research and teaching institution ⓘ |
| affiliation | NOVA University Lisbon ⓘ |
| aimsAt |
controlling tropical diseases
ⓘ
improving public health ⓘ strengthening health systems ⓘ |
| city | Lisbon ⓘ |
| collaboratesWith |
international health organizations
ⓘ
national health authorities ⓘ research institutes ⓘ universities ⓘ |
| conducts |
clinical research
ⓘ
field research ⓘ scientific research ⓘ |
| country | Portugal ⓘ |
| fieldOfWork |
biomedical sciences
ⓘ
epidemiology ⓘ global health policy ⓘ health systems ⓘ infectious diseases ⓘ public health ⓘ tropical diseases ⓘ |
| focusesOn |
global health
ⓘ
hygiene ⓘ tropical medicine ⓘ |
| hasActivity |
capacity building in low- and middle-income countries
ⓘ
public health consultancy ⓘ technical cooperation in global health ⓘ training of health professionals ⓘ |
| isLocatedIn |
Lisbon
ⓘ
Portugal ⓘ |
| languageOfInstruction |
English
ⓘ
Portuguese ⓘ |
| offers |
doctoral programmes
ⓘ
master’s programmes ⓘ postgraduate education ⓘ specialization courses ⓘ |
| sector | public ⓘ |
| specializesIn |
environmental health
ⓘ
international health ⓘ parasitology ⓘ travel medicine ⓘ tropical infectious diseases ⓘ vector-borne diseases ⓘ |
| typeOfOrganization | non-profit academic institution ⓘ |
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 Institute of Hygiene and Tropical Medicine Description of subject: NOVA Institute of Hygiene and Tropical Medicine is a specialized public health and biomedical research and teaching institution in Lisbon focused on hygiene, tropical medicine, and global health.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
NOVA University Lisbon
this entity surface form:
National School of Public Health (NOVA)