University of Vienna
E22372
The University of Vienna is one of Europe's oldest and largest universities, renowned for its contributions to the humanities and sciences since its founding in 1365.
All labels observed (15)
How this entity was disambiguated
This entity first appeared as the object of triple T81419 — 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 Vienna Context triple: [Oskar Morgenstern, employer, University of Vienna]
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A.
University of Leipzig
The University of Leipzig is one of Germany’s oldest and most prestigious universities, renowned for its contributions to research and education in the humanities, natural sciences, and social sciences.
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B.
Humboldt University of Berlin
Humboldt University of Berlin is a prestigious public research university in Germany’s capital, renowned for its historic contributions to science and the humanities and for pioneering the modern research university model.
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C.
University of Zurich
The University of Zurich is a major public research university in Switzerland renowned for its contributions to science and scholarship, including being one of the institutions where Albert Einstein taught.
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D.
University of Göttingen
The University of Göttingen is a renowned German research university, historically significant in physics and mathematics and once a leading center for theoretical science in Europe.
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E.
Charles University in Prague
Charles University in Prague is one of Europe’s oldest and most prestigious universities, renowned for its historic role in Central European scholarship and research.
- 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 Vienna Target entity description: The University of Vienna is one of Europe's oldest and largest universities, renowned for its contributions to the humanities and sciences since its founding in 1365.
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A.
University of Leipzig
The University of Leipzig is one of Germany’s oldest and most prestigious universities, renowned for its contributions to research and education in the humanities, natural sciences, and social sciences.
-
B.
Humboldt University of Berlin
Humboldt University of Berlin is a prestigious public research university in Germany’s capital, renowned for its historic contributions to science and the humanities and for pioneering the modern research university model.
-
C.
University of Zurich
The University of Zurich is a major public research university in Switzerland renowned for its contributions to science and scholarship, including being one of the institutions where Albert Einstein taught.
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D.
University of Göttingen
The University of Göttingen is a renowned German research university, historically significant in physics and mathematics and once a leading center for theoretical science in Europe.
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E.
Charles University in Prague
Charles University in Prague is one of Europe’s oldest and most prestigious universities, renowned for its historic role in Central European scholarship and research.
- F. None of above. chosen
Statements (54)
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 Vienna Description of subject: The University of Vienna is one of Europe's oldest and largest universities, renowned for its contributions to the humanities and sciences since its founding in 1365.
Referenced by (357)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Adolf Lieben
subject surface form:
Lise Meitner
subject surface form:
Yevhen Petrushevych
subject surface form:
Rudolf Dreikurs
subject surface form:
Wilhelm Blaschke
subject surface form:
Sándor Ferenczi