Graz University of Technology
E248192
Graz University of Technology is a prominent Austrian public research university in Graz, known for its strong engineering and natural sciences programs and notable academic figures.
All labels observed (6)
| Label | Occurrences |
|---|---|
| Graz University of Technology canonical | 36 |
| TU Graz | 2 |
| Technical University of Graz | 2 |
| Joanneum | 1 |
| Technische Hochschule Graz | 1 |
| Technische Universität Graz | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2176954 — 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: Graz University of Technology Context triple: [Erwin Schrödinger, employer, Graz University of Technology]
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A.
Vienna University of Technology
Vienna University of Technology is a leading Austrian research university in Vienna, renowned for its programs in engineering, natural sciences, and technology.
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B.
Johannes Kepler University Linz
Johannes Kepler University Linz is a public research university in Linz, Austria, known for its strong programs in science, engineering, business, and law.
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C.
University of Graz
The University of Graz is one of Austria’s oldest and largest universities, renowned for its contributions to science and the humanities and for having hosted prominent scholars such as physicist Ludwig Boltzmann.
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D.
Slovak University of Technology in Bratislava
The Slovak University of Technology in Bratislava is a leading Slovak public university focused on engineering, technology, and applied sciences.
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E.
Chemnitz University of Technology
Chemnitz University of Technology is a public research university in Chemnitz, Germany, known for its strong engineering, natural sciences, and interdisciplinary technology programs.
- 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: Graz University of Technology Target entity description: Graz University of Technology is a prominent Austrian public research university in Graz, known for its strong engineering and natural sciences programs and notable academic figures.
-
A.
Vienna University of Technology
Vienna University of Technology is a leading Austrian research university in Vienna, renowned for its programs in engineering, natural sciences, and technology.
-
B.
Johannes Kepler University Linz
Johannes Kepler University Linz is a public research university in Linz, Austria, known for its strong programs in science, engineering, business, and law.
-
C.
University of Graz
The University of Graz is one of Austria’s oldest and largest universities, renowned for its contributions to science and the humanities and for having hosted prominent scholars such as physicist Ludwig Boltzmann.
-
D.
Slovak University of Technology in Bratislava
The Slovak University of Technology in Bratislava is a leading Slovak public university focused on engineering, technology, and applied sciences.
-
E.
Chemnitz University of Technology
Chemnitz University of Technology is a public research university in Chemnitz, Germany, known for its strong engineering, natural sciences, and interdisciplinary technology programs.
- F. None of above. chosen
Statements (48)
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: Graz University of Technology Description of subject: Graz University of Technology is a prominent Austrian public research university in Graz, known for its strong engineering and natural sciences programs and notable academic figures.
Referenced by (43)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Graz University of Technology
linked to: Graz University of Technology
linked to: Graz University of Technology
linked to: Graz University of Technology
subject linked to:
Faculty of Architecture
Faculty of Architecture, Graz University of Technology
→
affiliation
→
Graz University of Technology
ⓘ
subject linked to:
Faculty of Architecture
Faculty of Computer Science and Biomedical Engineering
→
hasParentOrganization
→
Graz University of Technology
ⓘ
Faculty of Computer Science and Biomedical Engineering
→
affiliation
→
Graz University of Technology
ⓘ
Faculty of Electrical and Information Engineering, Graz University of Technology
→
partOf
→
Graz University of Technology
ⓘ
subject linked to:
Faculty of Electrical and Information Engineering
Faculty of Electrical and Information Engineering, Graz University of Technology
→
affiliation
→
Graz University of Technology
ⓘ
subject linked to:
Faculty of Electrical and Information Engineering
Faculty of Mechanical Engineering and Economic Sciences
→
parentOrganization
→
Graz University of Technology
ⓘ
Faculty of Mechanical Engineering and Economic Sciences
→
locatedInInstitution
→
Graz University of Technology
ⓘ
subject linked to:
TUG
linked to: Graz University of Technology
linked to: Graz University of Technology
linked to: Graz University of Technology