Triple

T5954471
Position Surface form Disambiguated ID Type / Status
Subject LMU Klinikum E132476 entity
Predicate hasAffiliation P467 FINISHED
Object Faculty of Medicine, Ludwig Maximilian University of Munich
The Faculty of Medicine at Ludwig Maximilian University of Munich is a major German medical school and research institution that trains physicians and conducts biomedical research in close association with the LMU Klinikum.
E558217 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: Faculty of Medicine, Ludwig Maximilian University of Munich | Statement: [LMU Klinikum, hasAffiliation, Faculty of Medicine, Ludwig Maximilian University of Munich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, Ludwig Maximilian University of Munich
Context triple: [LMU Klinikum, hasAffiliation, Faculty of Medicine, Ludwig Maximilian University of Munich]
  • A. Faculty of Medicine Heidelberg
    The Faculty of Medicine Heidelberg is the medical school of Heidelberg University, renowned for its research-intensive programs and clinical training in one of Germany’s leading academic medical centers.
  • B. Faculty of Medicine Mannheim
    The Faculty of Medicine Mannheim is a medical school of Heidelberg University located in Mannheim, Germany, known for its clinical and translational research and training of future physicians.
  • C. 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.
  • D. Faculty of Medicine, University of Göttingen
    The Faculty of Medicine at the University of Göttingen is a major academic division of the university responsible for medical education, research, and clinical training in collaboration with the University Medical Center Göttingen.
  • E. University Medical Center Freiburg
    University Medical Center Freiburg is a major teaching and research hospital in Freiburg, Germany, serving as the clinical arm of the University of Freiburg and providing advanced medical care across a wide range of specialties.
  • 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: Faculty of Medicine, Ludwig Maximilian University of Munich
Triple: [LMU Klinikum, hasAffiliation, Faculty of Medicine, Ludwig Maximilian University of Munich]
Generated description
The Faculty of Medicine at Ludwig Maximilian University of Munich is a major German medical school and research institution that trains physicians and conducts biomedical research in close association with the LMU Klinikum.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, Ludwig Maximilian University of Munich
Target entity description: The Faculty of Medicine at Ludwig Maximilian University of Munich is a major German medical school and research institution that trains physicians and conducts biomedical research in close association with the LMU Klinikum.
  • A. Faculty of Medicine Heidelberg
    The Faculty of Medicine Heidelberg is the medical school of Heidelberg University, renowned for its research-intensive programs and clinical training in one of Germany’s leading academic medical centers.
  • B. Faculty of Medicine Mannheim
    The Faculty of Medicine Mannheim is a medical school of Heidelberg University located in Mannheim, Germany, known for its clinical and translational research and training of future physicians.
  • C. 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.
  • D. Faculty of Medicine, University of Göttingen
    The Faculty of Medicine at the University of Göttingen is a major academic division of the university responsible for medical education, research, and clinical training in collaboration with the University Medical Center Göttingen.
  • E. University Medical Center Freiburg
    University Medical Center Freiburg is a major teaching and research hospital in Freiburg, Germany, serving as the clinical arm of the University of Freiburg and providing advanced medical care across a wide range of specialties.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c054a48190ace32250c43e29b4 completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3d77fb08190a24d319adc608df5 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0f4d9f7608190a1dc5fadf8c7a050 completed March 23, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69c0f536b8108190bfe7907c488819f9 completed March 23, 2026, 8:09 a.m.
Created at: March 22, 2026, 4:02 p.m.