Triple

T22782422
Position Surface form Disambiguated ID Type / Status
Subject Universidad del Azuay E563873 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Medicine 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 Medicine | Statement: [Universidad del Azuay, hasFaculty, Faculty of Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine
Context triple: [Universidad del Azuay, hasFaculty, Faculty of Medicine]
  • A. Faculty of Medicine
    The Faculty of Medicine at Kyoto University is a leading Japanese medical school and research institution known for its contributions to clinical medicine, biomedical research, and medical education.
  • B. Faculty of Medicine
    The Faculty of Medicine is the medical school of the University of Reims Champagne-Ardenne, responsible for training future physicians and conducting research in the health sciences.
  • C. Faculty of Medicine
    The Faculty of Medicine is the medical school of the Autonomous University of Madrid, responsible for training future physicians and conducting biomedical research.
  • D. 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.
  • E. Faculty of Medicine
    The Faculty of Medicine is the medical education and research division of Petrozavodsk State University, responsible for training future physicians and 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: Faculty of Medicine
Target entity description: The Faculty of Medicine is the medical school of Universidad del Azuay, dedicated to training future physicians and advancing health-related research and clinical practice.
  • A. Faculty of Medicine
    The Faculty of Medicine is the medical school of the Autonomous University of Madrid, responsible for training future physicians and conducting biomedical research.
  • B. Faculty of Medicine
    The Faculty of Medicine at the Universidad Austral de Chile is an academic unit dedicated to training healthcare professionals and conducting research in medical and health sciences.
  • C. Faculty of Medicine
    The Faculty of Medicine is the medical school of the National University of Asunción, responsible for training physicians and conducting medical research and education in Paraguay.
  • D. Faculty of Medicine
    The Faculty of Medicine is the medical school of the Universidad Mayor de San Simón, responsible for training physicians and conducting health-related research and clinical education.
  • E. 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.
  • 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c2ee4e88190951afb2abe69009f completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:28 p.m.