Triple

T262292
Position Surface form Disambiguated ID Type / Status
Subject University of Tokyo E5563 entity
Predicate hasGraduateSchool P113 FINISHED
Object Graduate School of Medicine
The Graduate School of Medicine at the University of Tokyo is a leading Japanese institution for advanced medical education and research, renowned for training physicians and scientists at the forefront of biomedical science and clinical practice.
E34452 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 | Statement: [University of Tokyo, hasGraduateSchool, Graduate School of Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graduate School of Medicine
Context triple: [University of Tokyo, hasGraduateSchool, Graduate School of Medicine]
  • A. School of Medicine
    The School of Medicine at Johns Hopkins University is a leading U.S. medical school renowned for its pioneering biomedical research, rigorous medical education, and influential clinical training programs.
  • B. School of Medicine
    The School of Medicine at Stanford University is a leading medical school and research institution known for its cutting-edge biomedical research, innovative medical education, and close integration with Stanford’s world-class hospitals and scientific community.
  • C. Faculty of Medicine
    The Faculty of Medicine at the University of Oslo is a leading Norwegian institution for medical education, research, and clinical training.
  • D. Faculty of Medicine
    The Faculty of Medicine at the University of Tokyo is a leading Japanese medical school renowned for its research, clinical training, and contributions to medical science and healthcare policy.
  • E. Faculty of Medicine
    The Faculty of Medicine at Sorbonne University is a major French medical school and research institution known for training physicians and advancing biomedical research in Paris.
  • 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
Triple: [University of Tokyo, hasGraduateSchool, Graduate School of Medicine]
Generated description
The Graduate School of Medicine at the University of Tokyo is a leading Japanese institution for advanced medical education and research, renowned for training physicians and scientists at the forefront of biomedical science and clinical practice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Graduate School of Medicine
Target entity description: The Graduate School of Medicine at the University of Tokyo is a leading Japanese institution for advanced medical education and research, renowned for training physicians and scientists at the forefront of biomedical science and clinical practice.
  • A. School of Medicine
    The School of Medicine at Stanford University is a leading medical school and research institution known for its cutting-edge biomedical research, innovative medical education, and close integration with Stanford’s world-class hospitals and scientific community.
  • B. School of Medicine
    The School of Medicine at Johns Hopkins University is a leading U.S. medical school renowned for its pioneering biomedical research, rigorous medical education, and influential clinical training programs.
  • C. Faculty of Medicine
    The Faculty of Medicine at Sorbonne University is a major French medical school and research institution known for training physicians and advancing biomedical research in Paris.
  • D. Faculty of Medicine
    The Faculty of Medicine at the University of Zurich is a major academic division responsible for medical education, clinical training, and biomedical research within the university.
  • E. Faculty of Medicine
    The Faculty of Medicine at the University of Tokyo is a leading Japanese medical school renowned for its research, clinical training, and contributions to medical science and healthcare policy.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a260cfb4cc81909771b2d496b84726 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a389ac93ec8190baf0c20a1e872b94 completed March 1, 2026, 12:34 a.m.
NEDg Description generation batch_69a38a1e2e7081908a132d7bd147379b completed March 1, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69a38a71c37481908cbc011e71c93c58 completed March 1, 2026, 12:38 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.