University of Bonn
E26729
The University of Bonn is a major public research university in Bonn, Germany, renowned for its strong programs in the humanities and sciences and its long tradition of scholarly excellence.
All labels observed (9)
How this entity was disambiguated
This entity first appeared as the object of triple T124800 — 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 Bonn Context triple: [Franz Boas, educatedAt, University of Bonn]
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A.
Ludwig Maximilian University of Munich
Ludwig Maximilian University of Munich is one of Germany’s oldest and most prestigious research universities, renowned for its strong academic programs and influential contributions across the sciences and humanities.
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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 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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D.
University of Kiel
The University of Kiel is a major German public research university in the city of Kiel, known for its contributions to the natural sciences, humanities, and marine research.
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E.
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.
- 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 Bonn Target entity description: The University of Bonn is a major public research university in Bonn, Germany, renowned for its strong programs in the humanities and sciences and its long tradition of scholarly excellence.
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A.
Ludwig Maximilian University of Munich
Ludwig Maximilian University of Munich is one of Germany’s oldest and most prestigious research universities, renowned for its strong academic programs and influential contributions across the sciences and humanities.
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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 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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D.
University of Kiel
The University of Kiel is a major German public research university in the city of Kiel, known for its contributions to the natural sciences, humanities, and marine research.
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E.
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.
- F. None of above. chosen
Statements (68)
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 Bonn Description of subject: The University of Bonn is a major public research university in Bonn, Germany, renowned for its strong programs in the humanities and sciences and its long tradition of scholarly excellence.
Referenced by (72)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Rheinische Friedrich-Wilhelms-Universität Bonn
this entity surface form:
Uni Bonn
this entity surface form:
Rhein University
this entity surface form:
Bonn International Graduate School
this entity surface form:
Rheinische Friedrich-Wilhelms-Universität Bonn
subject surface form:
Karl Barth
this entity surface form:
Universität Bonn
subject surface form:
Franz Boas
subject surface form:
Sebastian Thrun