Triple

T7101413
Position Surface form Disambiguated ID Type / Status
Subject Department of Urology, Charité – Universitätsmedizin Berlin E165466 entity
Predicate partOf P40 FINISHED
Object Faculty of Medicine, Charité – Universitätsmedizin Berlin
The Faculty of Medicine, Charité – Universitätsmedizin Berlin is the medical school and research arm of Charité, one of Europe’s largest and most renowned university hospitals, jointly operated by Humboldt University and Freie Universität Berlin.
E31135 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, Charité – Universitätsmedizin Berlin | Statement: [Department of Urology, Charité – Universitätsmedizin Berlin, partOf, Faculty of Medicine, Charité – Universitätsmedizin Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, Charité – Universitätsmedizin Berlin
Context triple: [Department of Urology, Charité – Universitätsmedizin Berlin, partOf, Faculty of Medicine, Charité – Universitätsmedizin Berlin]
  • A. 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.
  • B. Faculty of Medicine Carl Gustav Carus
    The Faculty of Medicine Carl Gustav Carus is the medical school and research faculty of the Dresden University of Technology, known for its clinical training and biomedical research.
  • C. 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.
  • D. Campus Virchow-Klinikum
    Campus Virchow-Klinikum is a major clinical and research site of Charité in Berlin, known for its comprehensive medical services and academic teaching facilities.
  • E. 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.
  • 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, Charité – Universitätsmedizin Berlin
Triple: [Department of Urology, Charité – Universitätsmedizin Berlin, partOf, Faculty of Medicine, Charité – Universitätsmedizin Berlin]
Generated description
The Faculty of Medicine, Charité – Universitätsmedizin Berlin is the medical school and research arm of Charité, one of Europe’s largest and most renowned university hospitals, jointly operated by Humboldt University and Freie Universität Berlin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, Charité – Universitätsmedizin Berlin
Target entity description: The Faculty of Medicine, Charité – Universitätsmedizin Berlin is the medical school and research arm of Charité, one of Europe’s largest and most renowned university hospitals, jointly operated by Humboldt University and Freie Universität Berlin.
  • A. Charité – Universitätsmedizin Berlin chosen
    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.
  • B. Faculty of Medicine Carl Gustav Carus
    The Faculty of Medicine Carl Gustav Carus is the medical school and research faculty of the Dresden University of Technology, known for its clinical training and biomedical research.
  • C. 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.
  • D. Campus Virchow-Klinikum
    Campus Virchow-Klinikum is a major clinical and research site of Charité in Berlin, known for its comprehensive medical services and academic teaching facilities.
  • E. 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.
  • F. None of above.

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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e586b7208190bab9429ded35ba4f completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79ca9b58c8190a91023de6811b21a completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79d16d3408190a36ab53d5d202e15 completed March 28, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_69c79dc7d7d8819097e423ef70b03040 completed March 28, 2026, 9:22 a.m.
Created at: March 27, 2026, 2:42 p.m.