German Sport University Cologne
E189147
German Sport University Cologne is a specialized public university in Cologne, Germany, focused on sports science, physical education, and related research.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Deutsche Sporthochschule Köln | 1 |
| German Sport University Cologne canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1663049 — 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: German Sport University Cologne Context triple: [Cologne, hasUniversity, German Sport University Cologne]
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A.
TU Dortmund University
TU Dortmund University is a public technical university in Dortmund, Germany, known for its strong programs in engineering, natural sciences, and computer science.
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B.
University of Cologne
The University of Cologne is one of Germany’s largest and oldest universities, renowned for its research and teaching across a broad range of disciplines.
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C.
University of Applied Sciences Karlsruhe
The University of Applied Sciences Karlsruhe is a German higher education institution in Karlsruhe specializing in practice-oriented engineering, computer science, business, and media programs closely linked to industry.
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D.
University of Stuttgart
The University of Stuttgart is a major German public research university renowned for its strong engineering, natural sciences, and technology programs.
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E.
German University of Administrative Sciences Speyer
The German University of Administrative Sciences Speyer is a specialized higher education institution in Germany focused on public administration, administrative law, and governance, serving as a key training and research center for civil servants and public sector professionals.
- 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: German Sport University Cologne Target entity description: German Sport University Cologne is a specialized public university in Cologne, Germany, focused on sports science, physical education, and related research.
-
A.
TU Dortmund University
TU Dortmund University is a public technical university in Dortmund, Germany, known for its strong programs in engineering, natural sciences, and computer science.
-
B.
University of Cologne
The University of Cologne is one of Germany’s largest and oldest universities, renowned for its research and teaching across a broad range of disciplines.
-
C.
University of Applied Sciences Karlsruhe
The University of Applied Sciences Karlsruhe is a German higher education institution in Karlsruhe specializing in practice-oriented engineering, computer science, business, and media programs closely linked to industry.
-
D.
University of Stuttgart
The University of Stuttgart is a major German public research university renowned for its strong engineering, natural sciences, and technology programs.
-
E.
German University of Administrative Sciences Speyer
The German University of Administrative Sciences Speyer is a specialized higher education institution in Germany focused on public administration, administrative law, and governance, serving as a key training and research center for civil servants and public sector professionals.
- F. None of above. chosen
Statements (53)
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: German Sport University Cologne Description of subject: German Sport University Cologne is a specialized public university in Cologne, Germany, focused on sports science, physical education, and related research.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
German Sport University Cologne
→
foundedAs
→
German Sport University Cologne
self-linksurface differs
ⓘ
this entity surface form:
Deutsche Sporthochschule Köln