KU Leuven
E442712
KU Leuven is a major research-intensive university in Belgium, renowned for its long history, strong academic reputation, and wide range of programs across disciplines.
All labels observed (8)
| Label | Occurrences |
|---|---|
| University of Leuven | 50 |
| KU Leuven canonical | 29 |
| Katholieke Universiteit Leuven | 13 |
| Catholic University of Leuven | 6 |
| Faculty of Engineering Science of KU Leuven | 1 |
| KU Leuven campus | 1 |
| KU Leuven multi-campus network | 1 |
| Old University of Leuven | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3678701 — 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: KU Leuven Context triple: [Leuven, hasUniversity, KU Leuven]
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A.
Ghent University
Ghent University is a major public research university in Ghent, Belgium, known for its broad range of academic programs and strong international research profile.
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B.
Catholic University of Leuven
The Catholic University of Leuven is a historic Belgian institution of higher education and research that emerged from the medieval University of Leuven and became a major center of Catholic scholarship in Europe.
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C.
Vrije Universiteit Brussel
Vrije Universiteit Brussel is a major Dutch-speaking research university in Brussels, Belgium, known for its strong emphasis on academic freedom, innovation, and international collaboration.
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D.
KU Leuven Kulak campus
KU Leuven Kulak campus is a regional campus of KU Leuven located in Kortrijk, Belgium, offering a range of undergraduate programs in a smaller-scale academic setting.
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E.
University of Liège
The University of Liège is a major public research university in Liège, Belgium, known for its comprehensive academic programs and significant contributions to science and innovation in the French-speaking region.
- 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: KU Leuven Target entity description: KU Leuven is a major research-intensive university in Belgium, renowned for its long history, strong academic reputation, and wide range of programs across disciplines.
-
A.
Ghent University
Ghent University is a major public research university in Ghent, Belgium, known for its broad range of academic programs and strong international research profile.
-
B.
Catholic University of Leuven
The Catholic University of Leuven is a historic Belgian institution of higher education and research that emerged from the medieval University of Leuven and became a major center of Catholic scholarship in Europe.
-
C.
Vrije Universiteit Brussel
Vrije Universiteit Brussel is a major Dutch-speaking research university in Brussels, Belgium, known for its strong emphasis on academic freedom, innovation, and international collaboration.
-
D.
KU Leuven Kulak campus
KU Leuven Kulak campus is a regional campus of KU Leuven located in Kortrijk, Belgium, offering a range of undergraduate programs in a smaller-scale academic setting.
-
E.
University of Liège
The University of Liège is a major public research university in Liège, Belgium, known for its comprehensive academic programs and significant contributions to science and innovation in the French-speaking region.
- F. None of above. chosen
Statements (62)
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: KU Leuven Description of subject: KU Leuven is a major research-intensive university in Belgium, renowned for its long history, strong academic reputation, and wide range of programs across disciplines.
Referenced by (102)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: KU Leuven
linked to: KU Leuven
subject linked to:
Cardinal Robert Bellarmine
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
subject linked to:
Paul Krugman (honorary doctorate, not student)
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
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linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven
linked to: KU Leuven