Triple

T7923152
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, The University of Tokyo E183993 entity
Predicate affiliation P10 FINISHED
Object Graduate School of Medicine, The University of Tokyo
The Graduate School of Medicine at the University of Tokyo is a leading Japanese institution for advanced medical education and research, training physicians and scientists at the forefront of biomedical and clinical sciences.
E183993 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: Graduate School of Medicine, The University of Tokyo | Statement: [Faculty of Medicine, The University of Tokyo, affiliation, Graduate School of Medicine, The University of Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graduate School of Medicine, The University of Tokyo
Context triple: [Faculty of Medicine, The University of Tokyo, affiliation, Graduate School of Medicine, The University of Tokyo]
  • A. Faculty of Medicine, The University of Tokyo
    The Faculty of Medicine at the University of Tokyo is a leading Japanese medical school and research institution renowned for training physicians and advancing biomedical science.
  • B. Institute of Medical Science, University of Tokyo
    The Institute of Medical Science, University of Tokyo is a leading Japanese biomedical research and graduate education center renowned for its work in infectious diseases, genomics, and advanced medical science.
  • C. Keio University School of Medicine
    Keio University School of Medicine is a prestigious Japanese medical school within Keio University, renowned for its research, clinical education, and contributions to advanced medical science.
  • D. Graduate School of Medicine, Kyoto University
    The Graduate School of Medicine, Kyoto University is a leading Japanese medical graduate institution known for its advanced research and education in clinical medicine, biomedical sciences, and public health.
  • E. Graduate School of Medicine, Tohoku University
    The Graduate School of Medicine, Tohoku University is a leading Japanese medical graduate institution known for advanced research and education in clinical medicine, biomedical sciences, and public health.
  • 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: Graduate School of Medicine, The University of Tokyo
Triple: [Faculty of Medicine, The University of Tokyo, affiliation, Graduate School of Medicine, The University of Tokyo]
Generated description
The Graduate School of Medicine at the University of Tokyo is a leading Japanese institution for advanced medical education and research, training physicians and scientists at the forefront of biomedical and clinical sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Graduate School of Medicine, The University of Tokyo
Target entity description: The Graduate School of Medicine at the University of Tokyo is a leading Japanese institution for advanced medical education and research, training physicians and scientists at the forefront of biomedical and clinical sciences.
  • A. Faculty of Medicine, The University of Tokyo chosen
    The Faculty of Medicine at the University of Tokyo is a leading Japanese medical school and research institution renowned for training physicians and advancing biomedical science.
  • B. Institute of Medical Science, University of Tokyo
    The Institute of Medical Science, University of Tokyo is a leading Japanese biomedical research and graduate education center renowned for its work in infectious diseases, genomics, and advanced medical science.
  • C. Keio University School of Medicine
    Keio University School of Medicine is a prestigious Japanese medical school within Keio University, renowned for its research, clinical education, and contributions to advanced medical science.
  • D. Graduate School of Medicine, Kyoto University
    The Graduate School of Medicine, Kyoto University is a leading Japanese medical graduate institution known for its advanced research and education in clinical medicine, biomedical sciences, and public health.
  • E. Graduate School of Medicine, Tohoku University
    The Graduate School of Medicine, Tohoku University is a leading Japanese medical graduate institution known for advanced research and education in clinical medicine, biomedical sciences, and public health.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aaadd1c8190971f2a6c7636cae4 completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe00951748190b6036cb359f2a6e3 completed March 31, 2026, 2:54 p.m.
NEDg Description generation batch_69cc46bfad4081908de1667b8a10ed0a completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc47e7167881908dce54e8b4615900 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:06 p.m.