Triple

T1091723
Position Surface form Disambiguated ID Type / Status
Subject Technical University of Munich E24177 entity
Predicate hasFaculty P141 FINISHED
Object TUM School of Medicine and Health
TUM School of Medicine and Health is the medical and health sciences faculty of the Technical University of Munich, offering education and research in medicine, public health, and related disciplines.
 E126173 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: TUM School of Medicine and Health | Statement: [Technical University of Munich, hasFaculty, TUM School of Medicine and Health]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TUM School of Medicine and Health
Context triple: [Technical University of Munich, hasFaculty, TUM School of Medicine and Health]
  • A. University Medical Center Göttingen
    University Medical Center Göttingen is a major academic teaching hospital and research institution in Göttingen, Germany, providing specialized medical care while supporting clinical education and biomedical research.
  • B. Charité – Universitätsmedizin Berlin
    Charité – Universitätsmedizin Berlin is one of Europe’s largest and most renowned university hospitals, combining cutting-edge medical research, teaching, and patient care in partnership with Berlin’s major universities.
  • C. Ludwig Maximilian University of Munich
    Ludwig Maximilian University of Munich is one of Germany’s oldest and most prestigious research universities, renowned for its strong academic programs and influential contributions across the sciences and humanities.
  • D. University of Würzburg
    The University of Würzburg is a historic German public research university in Bavaria, renowned for its contributions to science and scholarship and for educating numerous notable figures.
  • E. Ulm University
    Ulm University is a public research university in Ulm, Germany, known for its strong programs in natural sciences, medicine, engineering, and economics.
  • 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: TUM School of Medicine and Health
Triple: [Technical University of Munich, hasFaculty, TUM School of Medicine and Health]
Generated description
TUM School of Medicine and Health is the medical and health sciences faculty of the Technical University of Munich, offering education and research in medicine, public health, and related disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TUM School of Medicine and Health
Target entity description: TUM School of Medicine and Health is the medical and health sciences faculty of the Technical University of Munich, offering education and research in medicine, public health, and related disciplines.
  • A. University Medical Center Göttingen
    University Medical Center Göttingen is a major academic teaching hospital and research institution in Göttingen, Germany, providing specialized medical care while supporting clinical education and biomedical research.
  • B. Charité – Universitätsmedizin Berlin
    Charité – Universitätsmedizin Berlin is one of Europe’s largest and most renowned university hospitals, combining cutting-edge medical research, teaching, and patient care in partnership with Berlin’s major universities.
  • C. Ludwig Maximilian University of Munich
    Ludwig Maximilian University of Munich is one of Germany’s oldest and most prestigious research universities, renowned for its strong academic programs and influential contributions across the sciences and humanities.
  • D. University of Würzburg
    The University of Würzburg is a historic German public research university in Bavaria, renowned for its contributions to science and scholarship and for educating numerous notable figures.
  • E. Ulm University
    Ulm University is a public research university in Ulm, Germany, known for its strong programs in natural sciences, medicine, engineering, and economics.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b982018481908b222df095e318c0 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c2a20b48190b3a550f6e5ee13e1 completed March 7, 2026, 4:02 p.m.
NEDg Description generation batch_69ac4cae760881909329701561ad2ba6 completed March 7, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac4d7176808190b74d535d7e1b7c6a completed March 7, 2026, 4:08 p.m.
Created at: March 1, 2026, 7:42 p.m.