Triple

T19926187
Position Surface form Disambiguated ID Type / Status
Subject Kindai University Faculty of Medicine E478927 entity
Predicate hasDepartment P35 FINISHED
Object Department of Medical Education — NE NERFINISHED

How this triple was built (3 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 Education | Statement: [Kindai University Faculty of Medicine, hasDepartment, Department of Medical Education]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Department of Medical Education
Context triple: [Kindai University Faculty of Medicine, hasDepartment, Department of Medical Education]
  • A. Faculty of Medicine
    The Faculty of Medicine at Kabul University is a leading Afghan medical school responsible for training physicians and conducting medical education and research in Kabul.
  • B. Faculty of Medicine
    The Faculty of Medicine at the University of Liège is a higher education and research institution specializing in medical and health sciences training for future healthcare professionals.
  • C. Faculty of Medicine
    The Faculty of Medicine is the medical school of the Aristotle University of Thessaloniki, providing education and research in medicine and health sciences in Greece.
  • 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
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Department of Medical Education
Target entity description: The Department of Medical Education is an academic unit at Kindai University’s Faculty of Medicine dedicated to developing, coordinating, and improving medical teaching and curriculum.
  • A. Department of Medical Education chosen
    The Department of Medical Education is an academic unit within Hacettepe University’s Faculty of Medicine that focuses on the research, development, and improvement of medical teaching and training programs.
  • B. 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.
  • C. Faculty of Medicine
    The Faculty of Medicine at the University of Salamanca is one of Spain’s oldest and most prestigious medical schools, known for its historical significance in the development of medical education in Europe.
  • D. Faculty of Medicine
    The Faculty of Medicine is the medical school of the Universidad Michoacana de San Nicolás de Hidalgo, responsible for training physicians and conducting education and research in health sciences.
  • E. Faculty of Medicine
    The Faculty of Medicine at KU Leuven is a leading European medical school and research institution known for its comprehensive medical education, clinical training, and biomedical research.
  • F. None of above.

Provenance (2 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659ca52c881908dc8053bf61be4c4 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.