Faculty of Medical and Health Sciences
E271350
The Faculty of Medical and Health Sciences is the University of Auckland’s primary division for education and research in medicine, nursing, pharmacy, and related health sciences.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Faculty of Medical and Health Sciences canonical | 1 |
| Faculty of Medical and Health Sciences, University of Auckland | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2487590 — 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: Faculty of Medical and Health Sciences Context triple: [University of Auckland, hasFaculty, Faculty of Medical and Health Sciences]
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A.
Faculty of Medicine and Health Sciences
The Faculty of Medicine and Health Sciences is a major academic division of the University of Barcelona dedicated to education and research in medicine, health sciences, and related biomedical fields.
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B.
Faculty of Medicine and Health Sciences
The Faculty of Medicine and Health Sciences is the University of Zimbabwe’s primary academic division responsible for training medical and health professionals and conducting health-related research.
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C.
Faculty of Medicine and Health Sciences
The Faculty of Medicine and Health Sciences is McGill University’s medical and health sciences faculty, encompassing education and research in medicine, nursing, and related health professions.
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D.
Faculty of Medicine and Health Sciences
The Faculty of Medicine and Health Sciences is the University of Nottingham’s division responsible for education and research in medicine, healthcare, and related life sciences disciplines.
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E.
Faculty of Medicine and Health Sciences
The Faculty of Medicine and Health Sciences is Ghent University's academic division dedicated to education and research in medicine, healthcare, and biomedical sciences.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Faculty of Medical and Health Sciences Target entity description: The Faculty of Medical and Health Sciences is the University of Auckland’s primary division for education and research in medicine, nursing, pharmacy, and related health sciences.
-
A.
Faculty of Medicine and Health Sciences
The Faculty of Medicine and Health Sciences is a major academic division of the University of Barcelona dedicated to education and research in medicine, health sciences, and related biomedical fields.
-
B.
Faculty of Medicine and Health Sciences
The Faculty of Medicine and Health Sciences is the University of Zimbabwe’s primary academic division responsible for training medical and health professionals and conducting health-related research.
-
C.
Faculty of Medicine and Health Sciences
The Faculty of Medicine and Health Sciences is McGill University’s medical and health sciences faculty, encompassing education and research in medicine, nursing, and related health professions.
-
D.
Faculty of Medicine and Health Sciences
The Faculty of Medicine and Health Sciences is the University of Nottingham’s division responsible for education and research in medicine, healthcare, and related life sciences disciplines.
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E.
Faculty of Medicine and Health Sciences
The Faculty of Medicine and Health Sciences is Ghent University's academic division dedicated to education and research in medicine, healthcare, and biomedical sciences.
- F. None of above. chosen
Statements (47)
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: Faculty of Medical and Health Sciences Description of subject: The Faculty of Medical and Health Sciences is the University of Auckland’s primary division for education and research in medicine, nursing, pharmacy, and related health sciences.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.