Triple

T6076085
Position Surface form Disambiguated ID Type / Status
Subject Martinsried campus E135402 entity
Predicate isPartOf P10 FINISHED
Object LMU Munich science and research infrastructure
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.
E565642 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: LMU Munich science and research infrastructure | Statement: [Martinsried campus, isPartOf, LMU Munich science and research infrastructure]
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]
  • 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
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LMU Munich science and research infrastructure
Triple: [Martinsried campus, isPartOf, LMU Munich science and research infrastructure]
Generated 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.
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

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575ec63081908a868a41855acf73 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d43f7908190845c2337cd243a3c completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11db0b62c81908584215a5092a7a8 completed March 23, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69c11e4685d08190ac97e2356e64527e completed March 23, 2026, 11:04 a.m.
Created at: March 22, 2026, 4:11 p.m.