Triple

T17707055
Position Surface form Disambiguated ID Type / Status
Subject Department of Biomedical Informatics, Osaka University E441458 entity
Predicate partOf P40 FINISHED
Object Graduate School of Medicine, Osaka University
The Graduate School of Medicine, Osaka University is a leading Japanese medical graduate institution known for its advanced research and education in clinical medicine, biomedical sciences, and related interdisciplinary fields.
E444667 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, Osaka University | Statement: [Department of Biomedical Informatics, Osaka University, partOf, Graduate School of Medicine, Osaka University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graduate School of Medicine, Osaka University
Context triple: [Department of Biomedical Informatics, Osaka University, partOf, Graduate School of Medicine, Osaka University]
  • A. Osaka University Medical School
    Osaka University Medical School is a leading Japanese medical faculty of Osaka University, renowned for its advanced clinical research, education, and training of physicians and medical scientists.
  • B. Osaka City University Graduate School of Medicine
    Osaka City University Graduate School of Medicine is a Japanese medical graduate school known for training physicians and researchers, including Nobel Prize–winning stem cell scientist Shinya Yamanaka.
  • C. 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.
  • D. Kyoto University Graduate School of Medicine
    Kyoto University Graduate School of Medicine is a leading Japanese medical graduate school renowned for its advanced research, clinical training, and education in medicine and related health sciences.
  • E. Nagoya University Graduate School of Medicine
    Nagoya University Graduate School of Medicine is a leading Japanese medical graduate school known for its advanced research, clinical training, and education in medicine and related biomedical sciences.
  • 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, Osaka University
Triple: [Department of Biomedical Informatics, Osaka University, partOf, Graduate School of Medicine, Osaka University]
Generated description
The Graduate School of Medicine, Osaka University is a leading Japanese medical graduate institution known for its advanced research and education in clinical medicine, biomedical sciences, and related interdisciplinary fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Graduate School of Medicine, Osaka University
Target entity description: The Graduate School of Medicine, Osaka University is a leading Japanese medical graduate institution known for its advanced research and education in clinical medicine, biomedical sciences, and related interdisciplinary fields.
  • A. Osaka University Medical School chosen
    Osaka University Medical School is a leading Japanese medical faculty of Osaka University, renowned for its advanced clinical research, education, and training of physicians and medical scientists.
  • B. Osaka City University Graduate School of Medicine
    Osaka City University Graduate School of Medicine is a Japanese medical graduate school known for training physicians and researchers, including Nobel Prize–winning stem cell scientist Shinya Yamanaka.
  • C. 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.
  • D. Kyoto University Graduate School of Medicine
    Kyoto University Graduate School of Medicine is a leading Japanese medical graduate school renowned for its advanced research, clinical training, and education in medicine and related health sciences.
  • E. Nagoya University Graduate School of Medicine
    Nagoya University Graduate School of Medicine is a leading Japanese medical graduate school known for its advanced research, clinical training, and education in medicine and related biomedical sciences.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47297f7188190ba859d71e394bd4b completed April 19, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03379788b08190834924bf6c302c5d completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a033ca5e4c08190b7de8ab2d4fb8e3b completed May 12, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_6a033daf5b948190926f2925b8e3cc84 completed May 12, 2026, 2:48 p.m.
Created at: April 10, 2026, 10:05 a.m.