University of Debrecen
E234406
The University of Debrecen is one of Hungary’s oldest and largest higher education institutions, known for its comprehensive academic programs and significant research output.
All labels observed (1)
| Label | Occurrences |
|---|---|
| University of Debrecen canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T2103631 — 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: University of Debrecen Context triple: [Debrecen, hasUniversity, University of Debrecen]
-
A.
University of Szeged
The University of Szeged is one of Hungary’s leading public research universities, known for its strong academic programs and historic campus in the city of Szeged.
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B.
University of Pécs
The University of Pécs is one of Hungary’s oldest and largest higher education institutions, offering a wide range of academic programs and research activities across multiple faculties.
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C.
University of Miskolc
The University of Miskolc is a major Hungarian public university known for its engineering, economics, law, and social sciences programs, serving as a key educational and research center in northeastern Hungary.
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D.
University of Budapest
The University of Budapest is a historic Hungarian higher education institution known for producing prominent scholars, including mathematician John von Neumann.
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E.
Hungarian Academy of Sciences
The Hungarian Academy of Sciences is Hungary’s foremost scholarly institution, responsible for supporting and coordinating scientific research and representing the country’s academic community.
- 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: University of Debrecen Target entity description: The University of Debrecen is one of Hungary’s oldest and largest higher education institutions, known for its comprehensive academic programs and significant research output.
-
A.
University of Szeged
The University of Szeged is one of Hungary’s leading public research universities, known for its strong academic programs and historic campus in the city of Szeged.
-
B.
University of Pécs
The University of Pécs is one of Hungary’s oldest and largest higher education institutions, offering a wide range of academic programs and research activities across multiple faculties.
-
C.
University of Miskolc
The University of Miskolc is a major Hungarian public university known for its engineering, economics, law, and social sciences programs, serving as a key educational and research center in northeastern Hungary.
-
D.
University of Budapest
The University of Budapest is a historic Hungarian higher education institution known for producing prominent scholars, including mathematician John von Neumann.
-
E.
Hungarian Academy of Sciences
The Hungarian Academy of Sciences is Hungary’s foremost scholarly institution, responsible for supporting and coordinating scientific research and representing the country’s academic community.
- F. None of above. chosen
Statements (50)
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: University of Debrecen Description of subject: The University of Debrecen is one of Hungary’s oldest and largest higher education institutions, known for its comprehensive academic programs and significant research output.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Imre Lakatos