Triple

T21983639
Position Surface form Disambiguated ID Type / Status
Subject Federal University of Rio Grande do Norte E542901 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Health Sciences 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 Health Sciences | Statement: [Federal University of Rio Grande do Norte, hasFaculty, Faculty of Health Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Health Sciences
Context triple: [Federal University of Rio Grande do Norte, hasFaculty, Faculty of Health Sciences]
  • A. Faculty of Health Sciences
    The Faculty of Health Sciences is an academic division of Necmettin Erbakan University dedicated to education and research in health-related disciplines and professions.
  • B. Faculty of Health Sciences
    The Faculty of Health Sciences is a division of the University of Pécs that provides education and training in various health-related and medical support professions.
  • C. Faculty of Health Sciences
    The Faculty of Health Sciences is an academic division of the Medical University of Innsbruck focused on education and research in health-related disciplines.
  • D. Faculty of Health Sciences
    The Faculty of Health Sciences at McMaster University is a leading Canadian academic division known for its innovative, research-intensive programs in medicine, nursing, rehabilitation sciences, and related health professions.
  • E. Faculty of Health Sciences
    The Faculty of Health Sciences at the University of the Witwatersrand is a leading South African academic division dedicated to training healthcare professionals and advancing medical and health-related research.
  • 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 Health Sciences
Target entity description: The Faculty of Health Sciences is an academic unit of the Federal University of Rio Grande do Norte dedicated to education and research in health-related fields such as medicine, nursing, and allied health professions.
  • A. Faculty of Health Sciences
    The Faculty of Health Sciences at the University of Stavanger is an academic division dedicated to education and research in health, nursing, and related care professions.
  • B. Faculty of Health Sciences
    The Faculty of Health Sciences is an academic division of Marien Ngouabi University dedicated to education and research in medical and health-related disciplines.
  • C. Faculty of Health Sciences
    The Faculty of Health Sciences at the University of La Laguna is an academic division dedicated to education and research in health-related disciplines such as medicine, nursing, and allied health professions.
  • D. Faculty of Health Sciences
    The Faculty of Health Sciences at the University of Nairobi is an academic division that trains healthcare professionals and conducts research in medical and health-related fields.
  • E. Faculty of Health Sciences
    The Faculty of Health Sciences at the University of Fort Hare is an academic division dedicated to training health professionals and conducting research in health-related disciplines.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12708055c8190b626ce244e368296 completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:04 p.m.