Triple

T17646344
Position Surface form Disambiguated ID Type / Status
Subject Iwate Medical University E429367 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Nursing 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: Faculty of Nursing | Statement: [Iwate Medical University, hasFaculty, Faculty of Nursing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Nursing
Context triple: [Iwate Medical University, hasFaculty, Faculty of Nursing]
  • A. Faculty of Nursing
    The Faculty of Nursing at Ain Shams University is an academic institution in Egypt dedicated to educating and training professional nurses and advancing nursing research and healthcare practice.
  • B. Faculty of Nursing
    The Faculty of Nursing is an academic division of the Lithuanian University of Health Sciences dedicated to educating nursing professionals and advancing research and practice in nursing and related health sciences.
  • C. Faculty of Nursing
    The Faculty of Nursing at Chiang Mai University is a leading nursing education and research institution in northern Thailand, offering undergraduate and graduate programs that train professional nurses and advance healthcare practice.
  • D. Faculty of Nursing
    The Faculty of Nursing is an academic division specializing in nursing education, research, and professional training within the University of Shiga Prefecture.
  • E. Faculty of Nursing
    The Faculty of Nursing at Mansoura University is an academic institution in Egypt dedicated to educating and training professional nurses and advancing nursing research and healthcare practice.
  • 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: Faculty of Nursing
Target entity description: The Faculty of Nursing at Iwate Medical University is an academic division dedicated to educating nursing professionals and advancing nursing research within the university’s medical and health sciences framework.
  • A. Faculty of Nursing
    The Faculty of Nursing is an academic division specializing in nursing education, research, and professional training within the University of Shiga Prefecture.
  • B. Faculty of Nursing
    The Faculty of Nursing is an academic division of the Lithuanian University of Health Sciences dedicated to educating nursing professionals and advancing research and practice in nursing and related health sciences.
  • C. Faculty of Nursing
    The Faculty of Nursing at the University of Indonesia is an academic unit dedicated to education, research, and professional training in nursing and health care.
  • D. Faculty of Nursing
    The Faculty of Nursing at Ege University is an academic unit dedicated to educating nursing professionals and conducting research in health and patient care.
  • E. Faculty of Nursing
    The Faculty of Nursing at Hacettepe University is an academic unit dedicated to educating nursing professionals and conducting research in health and nursing sciences.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e39937881909bb6a1792fff39a9 completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:04 a.m.