Triple

T19647425
Position Surface form Disambiguated ID Type / Status
Subject Health Sciences Institute E471714 entity
Predicate collaboratesWith P37 FINISHED
Object faculties of medicine at Trakya University 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: faculties of medicine at Trakya University | Statement: [Health Sciences Institute, collaboratesWith, faculties of medicine at Trakya University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: faculties of medicine at Trakya University
Context triple: [Health Sciences Institute, collaboratesWith, faculties of medicine at Trakya University]
  • A. Ankara University Faculty of Medicine
    Ankara University Faculty of Medicine is a leading Turkish medical school in Ankara known for training many prominent physicians and academics.
  • B. Hacettepe University Faculty of Medicine
    Hacettepe University Faculty of Medicine is a leading Turkish medical school in Ankara, renowned for its rigorous education, research output, and affiliated teaching hospitals.
  • C. Hacettepe University Faculty of Health Sciences
    Hacettepe University Faculty of Health Sciences is an academic unit of Hacettepe University in Ankara, Turkey, specializing in education and research across various health-related disciplines.
  • D. UST Faculty of Medicine and Surgery
    UST Faculty of Medicine and Surgery is the medical school of the University of Santo Tomas in the Philippines, recognized as one of the country’s oldest and most prestigious institutions for medical education and training.
  • E. Faculty of Medicine, University of Niš
    The Faculty of Medicine, University of Niš is a higher education and research institution in Niš, Serbia, specializing in medical and health sciences training for future healthcare professionals.
  • 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: faculties of medicine at Trakya University
Target entity description: The faculties of medicine at Trakya University are academic units that provide medical education, clinical training, and research in health sciences within Trakya University in Turkey.
  • A. Ankara University Faculty of Medicine
    Ankara University Faculty of Medicine is a leading Turkish medical school in Ankara known for training many prominent physicians and academics.
  • B. Hacettepe University Faculty of Medicine
    Hacettepe University Faculty of Medicine is a leading Turkish medical school in Ankara, renowned for its rigorous education, research output, and affiliated teaching hospitals.
  • C. Hacettepe University Faculty of Health Sciences
    Hacettepe University Faculty of Health Sciences is an academic unit of Hacettepe University in Ankara, Turkey, specializing in education and research across various health-related disciplines.
  • D. UST Faculty of Medicine and Surgery
    UST Faculty of Medicine and Surgery is the medical school of the University of Santo Tomas in the Philippines, recognized as one of the country’s oldest and most prestigious institutions for medical education and training.
  • E. Faculty of Medicine, University of Niš
    The Faculty of Medicine, University of Niš is a higher education and research institution in Niš, Serbia, specializing in medical and health sciences training for future healthcare professionals.
  • F. None of above. chosen

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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64125dd9481908a891c71c975a964 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.