LMU Munich science and research infrastructure
E565642
LMU Munich science and research infrastructure is the network of research campuses, facilities, and institutes of Ludwig Maximilian University of Munich that supports advanced scientific investigation and innovation across disciplines.
All labels observed (1)
| Label | Occurrences |
|---|---|
| LMU Munich science and research infrastructure canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6076085 — 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: LMU Munich science and research infrastructure Context triple: [Martinsried campus, isPartOf, LMU Munich science and research infrastructure]
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A.
Max Planck Institute for Software Systems
The Max Planck Institute for Software Systems is a leading German research institute focused on foundational and practical aspects of software systems, including programming languages, distributed systems, security, and formal methods.
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B.
Fraunhofer Institute for Interfacial Engineering and Biotechnology IGB
The Fraunhofer Institute for Interfacial Engineering and Biotechnology IGB is a German applied research institute specializing in interface engineering, biotechnology, and related process technologies for industrial and environmental applications.
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C.
CERN data centre
The CERN data centre is the primary computing and data storage facility of the European Organization for Nuclear Research, handling the massive data output from experiments like those at the Large Hadron Collider.
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D.
Leibniz-Rechenzentrum / TUM computer science community
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.
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E.
Max Planck Institute for the Science of Light
The Max Planck Institute for the Science of Light is a leading German research institute specializing in optics, photonics, and related areas of fundamental and applied physics.
- 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: LMU Munich science and research infrastructure Target entity description: LMU Munich science and research infrastructure is the network of research campuses, facilities, and institutes of Ludwig Maximilian University of Munich that supports advanced scientific investigation and innovation across disciplines.
-
A.
Max Planck Institute for Software Systems
The Max Planck Institute for Software Systems is a leading German research institute focused on foundational and practical aspects of software systems, including programming languages, distributed systems, security, and formal methods.
-
B.
Fraunhofer Institute for Interfacial Engineering and Biotechnology IGB
The Fraunhofer Institute for Interfacial Engineering and Biotechnology IGB is a German applied research institute specializing in interface engineering, biotechnology, and related process technologies for industrial and environmental applications.
-
C.
CERN data centre
The CERN data centre is the primary computing and data storage facility of the European Organization for Nuclear Research, handling the massive data output from experiments like those at the Large Hadron Collider.
-
D.
Leibniz-Rechenzentrum / TUM computer science community
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.
-
E.
Max Planck Institute for the Science of Light
The Max Planck Institute for the Science of Light is a leading German research institute specializing in optics, photonics, and related areas of fundamental and applied physics.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
research infrastructure network
ⓘ
university research infrastructure ⓘ |
| affiliation |
LMU research centers and clusters of excellence
ⓘ
Ludwig Maximilian University of Munich Excellence Strategy ⓘ |
| city | Munich ⓘ |
| country | Germany ⓘ |
| field |
biology
ⓘ
chemistry ⓘ computer science ⓘ economics ⓘ environmental sciences ⓘ humanities ⓘ law ⓘ life sciences ⓘ mathematics ⓘ medicine ⓘ natural sciences ⓘ neuroscience ⓘ physics ⓘ social sciences ⓘ |
| hasUserGroup |
LMU faculty
ⓘ
LMU students ⓘ external research partners ⓘ |
| includes |
animal research facilities
ⓘ
clinical research facilities ⓘ computing facilities ⓘ core facilities ⓘ data centers ⓘ graduate research schools ⓘ innovation centers ⓘ laboratory facilities ⓘ libraries ⓘ research campuses ⓘ research clusters ⓘ research institutes ⓘ technology transfer offices ⓘ |
| operatedBy | Ludwig Maximilian University of Munich ⓘ |
| partOf | Ludwig Maximilian University of Munich ⓘ |
| purpose |
attract external research funding
ⓘ
enable cutting-edge research ⓘ foster interdisciplinary collaboration ⓘ support advanced scientific investigation ⓘ support international research collaboration ⓘ support research training ⓘ |
| supports |
applied research
ⓘ
basic research ⓘ innovation ⓘ interdisciplinary research ⓘ scientific research ⓘ technology transfer ⓘ |
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: LMU Munich science and research infrastructure Description of subject: LMU Munich science and research infrastructure is the network of research campuses, facilities, and institutes of Ludwig Maximilian University of Munich that supports advanced scientific investigation and innovation across disciplines.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.