Faculty of Veterinary Medicine
E406195
The Faculty of Veterinary Medicine is a constituent academic unit of the Lithuanian University of Health Sciences that specializes in veterinary education, research, and clinical training.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Faculty of Veterinary Medicine canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4010893 — 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: Faculty of Veterinary Medicine Context triple: [Lithuanian University of Health Sciences, hasFaculty, Faculty of Veterinary Medicine]
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A.
Faculty of Veterinary Medicine
The Faculty of Veterinary Medicine at Hokkaido University is a leading Japanese academic unit dedicated to education and research in animal health, veterinary science, and related life sciences.
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B.
Faculty of Veterinary Medicine
The Faculty of Veterinary Medicine is the University of Helsinki’s specialized unit for educating veterinarians and conducting research in animal health and welfare.
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C.
Faculty of Veterinary Medicine
The Faculty of Veterinary Medicine at the University of Milan is an academic division dedicated to education and research in animal health, veterinary science, and related biomedical fields.
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D.
Faculty of Veterinary Medicine
The Faculty of Veterinary Medicine at the University of Parma is an academic division dedicated to education and research in animal health, veterinary science, and related biomedical fields.
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E.
Faculty of Veterinary Medicine
The Faculty of Veterinary Medicine at Cairo University is a major Egyptian institution for veterinary education, research, and clinical training.
- 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: Faculty of Veterinary Medicine Target entity description: The Faculty of Veterinary Medicine is a constituent academic unit of the Lithuanian University of Health Sciences that specializes in veterinary education, research, and clinical training.
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A.
Faculty of Veterinary Medicine
The Faculty of Veterinary Medicine is the University of Helsinki’s specialized unit for educating veterinarians and conducting research in animal health and welfare.
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B.
Faculty of Veterinary Medicine
The Faculty of Veterinary Medicine at the University of Leipzig is an academic division specializing in veterinary education, research, and clinical training for future veterinarians.
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C.
Faculty of Veterinary Medicine
The Faculty of Veterinary Medicine is a specialized academic unit of Alexandria University dedicated to education and research in animal health, veterinary science, and related biomedical fields.
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D.
Faculty of Veterinary Medicine
The Faculty of Veterinary Medicine is the veterinary school of Utrecht University in the Netherlands, known for its education, research, and clinical services in animal health and veterinary science.
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E.
Faculty of Veterinary Medicine
The Faculty of Veterinary Medicine is a specialized academic division of Ghent University dedicated to education and research in animal health, veterinary science, and related biomedical fields.
- F. None of above. chosen
Statements (44)
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: Faculty of Veterinary Medicine Description of subject: The Faculty of Veterinary Medicine is a constituent academic unit of the Lithuanian University of Health Sciences that specializes in veterinary education, research, and clinical training.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.