Triple

T2428055
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, Tohoku University E53576 entity
Predicate hasAcademicDepartment P589 FINISHED
Object 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.
E266231 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: [Faculty of Medicine, Tohoku University, hasAcademicDepartment, Department of Medical Informatics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Medical Informatics
Context triple: [Faculty of Medicine, Tohoku University, hasAcademicDepartment, 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 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.
  • C. Department of Medicine
    The Department of Medicine at Johns Hopkins is a leading academic and clinical division renowned for its research, education, and patient care in internal medicine and related specialties.
  • D. Department of Medicine
    The Department of Medicine at McGill University is a major academic and clinical department responsible for medical education, research, and patient care within the Faculty of Medicine and Health Sciences.
  • E. Department of Computational Biology and Medical Sciences
    The Department of Computational Biology and Medical Sciences is an academic unit specializing in the integration of computational methods with biological and medical research to advance understanding of complex life and health systems.
  • 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: [Faculty of Medicine, Tohoku University, hasAcademicDepartment, Department of Medical Informatics]
Generated description
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.
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 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.
  • 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 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.
  • C. Department of Medicine
    The Department of Medicine at Johns Hopkins is a leading academic and clinical division renowned for its research, education, and patient care in internal medicine and related specialties.
  • D. Department of Medicine
    The Department of Medicine at McGill University is a major academic and clinical department responsible for medical education, research, and patient care within the Faculty of Medicine and Health Sciences.
  • E. Department of Computational Biology and Medical Sciences
    The Department of Computational Biology and Medical Sciences is an academic unit specializing in the integration of computational methods with biological and medical research to advance understanding of complex life and health systems.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99d0b1c8190bf0a94fa07919d21 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf637be4819096874a24e87f84ab completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec7698e9881909c75137cb5cf2a0c completed March 9, 2026, 1:13 p.m.
NED2 Entity disambiguation (via description) batch_69aec87df0648190b8099b4eaa3d9b22 completed March 9, 2026, 1:17 p.m.
Created at: March 6, 2026, 9:42 p.m.