Leibniz-Rechenzentrum / TUM computer science community
E238248
The Leibniz-Rechenzentrum / TUM computer science community is a leading academic and research environment in computer science associated with the Technical University of Munich and its high-performance computing center.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Leibniz-Rechenzentrum / TUM computer science community canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2139679 — 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: Leibniz-Rechenzentrum / TUM computer science community Context triple: [Tobias Nipkow, memberOf, Leibniz-Rechenzentrum / TUM computer science community]
-
A.
TUM School of Computation, Information and Technology
TUM School of Computation, Information and Technology is a faculty of the Technical University of Munich that focuses on computer science, mathematics, and related information and engineering disciplines.
-
B.
computer science department of Humboldt University of Berlin
The computer science department of Humboldt University of Berlin is an academic unit specializing in research and education in computer science within one of Germany’s leading universities.
-
C.
IEEE Technical Committee on Mathematical Foundations of Computing
The IEEE Technical Committee on Mathematical Foundations of Computing is a professional body within the IEEE that focuses on theoretical computer science and the mathematical underpinnings of computing.
-
D.
Max Planck Institute for Informatics
The Max Planck Institute for Informatics is a leading German research institute specializing in computer science, particularly algorithms, data science, and artificial intelligence.
-
E.
Leiden Institute of Advanced Computer Science
The Leiden Institute of Advanced Computer Science is a research and education institute specializing in computer science and artificial intelligence within Leiden University in the Netherlands.
- 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: Leibniz-Rechenzentrum / TUM computer science community Target entity description: The Leibniz-Rechenzentrum / TUM computer science community is a leading academic and research environment in computer science associated with the Technical University of Munich and its high-performance computing center.
-
A.
TUM School of Computation, Information and Technology
TUM School of Computation, Information and Technology is a faculty of the Technical University of Munich that focuses on computer science, mathematics, and related information and engineering disciplines.
-
B.
computer science department of Humboldt University of Berlin
The computer science department of Humboldt University of Berlin is an academic unit specializing in research and education in computer science within one of Germany’s leading universities.
-
C.
IEEE Technical Committee on Mathematical Foundations of Computing
The IEEE Technical Committee on Mathematical Foundations of Computing is a professional body within the IEEE that focuses on theoretical computer science and the mathematical underpinnings of computing.
-
D.
Max Planck Institute for Informatics
The Max Planck Institute for Informatics is a leading German research institute specializing in computer science, particularly algorithms, data science, and artificial intelligence.
-
E.
Leiden Institute of Advanced Computer Science
The Leiden Institute of Advanced Computer Science is a research and education institute specializing in computer science and artificial intelligence within Leiden University in the Netherlands.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
academic research community
ⓘ
computer science community ⓘ |
| aimsTo |
advance computer science research
ⓘ
enable data-intensive computing ⓘ provide access to high-performance computing resources ⓘ support large-scale simulations ⓘ |
| associatedWith |
Leibniz Supercomputing Centre
ⓘ
surface form:
Leibniz-Rechenzentrum
Technical University of Munich ⓘ |
| collaboratesWith |
Leibniz Supercomputing Centre
ⓘ
TUM School of Computation, Information and Technology ⓘ
surface form:
TUM Department of Informatics
TUM School of Computation, Information and Technology ⓘ |
| engagesIn |
collaborative research projects
ⓘ
international collaborations ⓘ training for HPC users ⓘ workshops and seminars ⓘ |
| field | computer science ⓘ |
| focusesOn |
high-performance computing
ⓘ
research in computer science ⓘ scientific computing ⓘ |
| hasPart |
HPC application scientists
ⓘ
Leibniz Supercomputing Centre user community ⓘ TUM Department of Informatics researchers ⓘ TUM computer science students ⓘ |
| language |
English
ⓘ
German ⓘ |
| locatedIn |
Bavaria
ⓘ
Germany ⓘ Munich ⓘ |
| partOf |
European high-performance computing community
ⓘ
German academic research landscape ⓘ |
| relatedTo |
German Gauss Centre for Supercomputing
ⓘ
e-science infrastructure ⓘ research data management ⓘ |
| researchArea |
data analytics
ⓘ
machine learning ⓘ numerical simulation ⓘ parallel computing ⓘ scientific visualization ⓘ software engineering for HPC ⓘ |
| supportsActivity |
HPC-based research projects
ⓘ
graduate education in informatics ⓘ interdisciplinary computational research ⓘ teaching in computer science ⓘ |
| usesInfrastructure |
Leibniz Supercomputing Centre systems
ⓘ
data storage systems ⓘ high-performance computing clusters ⓘ |
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: Leibniz-Rechenzentrum / TUM computer science community Description of subject: The Leibniz-Rechenzentrum / TUM computer science community is a leading academic and research environment in computer science associated with the Technical University of Munich and its high-performance computing center.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.