Triple

T5195199
Position Surface form Disambiguated ID Type / Status
Subject Graduate School of Medicine, Kobe University E117252 entity
Predicate hasDivision P35 FINISHED
Object Department of Medical Informatics
The Department of Medical Informatics is an academic division at Kobe University's Graduate School of Medicine that focuses on the research and education of information technologies and data management in healthcare and medical science.
E501628 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: Department of Medical Informatics | Statement: [Graduate School of Medicine, Kobe University, hasDivision, Department of Medical Informatics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Medical Informatics
Context triple: [Graduate School of Medicine, Kobe University, hasDivision, Department of Medical Informatics]
  • A. Department of Medical Informatics
    The Department of Medical Informatics is an academic unit at the University of Tokyo’s Faculty of Medicine that focuses on the research and education of information technologies and data science in healthcare and medical practice.
  • B. Department of Medical Informatics
    The Department of Medical Informatics is an academic unit at Tohoku University's Faculty of Medicine that focuses on the application of information science and technology to healthcare, clinical practice, and biomedical research.
  • C. Department of Biomedical Informatics
    The Department of Biomedical Informatics is an academic division specializing in the application of information science, data analysis, and computational methods to biomedical and clinical research within Osaka University's Graduate School of Medicine.
  • D. Department of Informatics
    The Department of Informatics at King’s College London is an academic unit focused on research and education in computer science, artificial intelligence, and related areas of information technology.
  • E. Department of Medicine
    The Department of Medicine at AIIMS Delhi is a leading academic and clinical center in India, renowned for advanced patient care, medical education, and research in internal medicine.
  • 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: Department of Medical Informatics
Triple: [Graduate School of Medicine, Kobe University, hasDivision, Department of Medical Informatics]
Generated description
The Department of Medical Informatics is an academic division at Kobe University's Graduate School of Medicine that focuses on the research and education of information technologies and data management in healthcare and medical science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Medical Informatics
Target entity description: The Department of Medical Informatics is an academic division at Kobe University's Graduate School of Medicine that focuses on the research and education of information technologies and data management in healthcare and medical science.
  • A. Department of Medical Informatics
    The Department of Medical Informatics is an academic unit at the University of Tokyo’s Faculty of Medicine that focuses on the research and education of information technologies and data science in healthcare and medical practice.
  • B. Department of Medical Informatics
    The Department of Medical Informatics is an academic unit at Tohoku University's Faculty of Medicine that focuses on the application of information science and technology to healthcare, clinical practice, and biomedical research.
  • C. Department of Biomedical Informatics
    The Department of Biomedical Informatics is an academic division specializing in the application of information science, data analysis, and computational methods to biomedical and clinical research within Osaka University's Graduate School of Medicine.
  • D. Department of Informatics
    The Department of Informatics at King’s College London is an academic unit focused on research and education in computer science, artificial intelligence, and related areas of information technology.
  • E. Department of Medicine
    The Department of Medicine at AIIMS Delhi is a leading academic and clinical center in India, renowned for advanced patient care, medical education, and research in internal medicine.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79f2935c81909b4e33904b89e818 completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee09a347081909c2c6c4a2362d7dd completed March 21, 2026, 6:16 p.m.
NEDg Description generation batch_69bee62f493881909e8b484534e75359 completed March 21, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_69bee6d1eae481909f3861b7c0adc2fd completed March 21, 2026, 6:43 p.m.
Created at: March 20, 2026, 1:46 p.m.