Triple

T19511309
Position Surface form Disambiguated ID Type / Status
Subject Taiz University E488159 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: [Taiz University, hasFaculty, Faculty of Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine
Context triple: [Taiz University, hasFaculty, Faculty of Medicine]
  • A. Faculty of Medicine
    The Faculty of Medicine at the University of Bonn is the university’s medical school, responsible for medical education, clinical training, and biomedical research.
  • B. Faculty of Medicine
    The Faculty of Medicine at the University of Helsinki is a leading Finnish medical education and research institution training physicians, dentists, and other health professionals while conducting advanced biomedical and clinical research.
  • C. Faculty of Medicine
    The Faculty of Medicine at Tel Aviv University is a leading Israeli medical school and research institution known for training physicians and advancing biomedical and clinical research.
  • D. Faculty of Medicine
    The Faculty of Medicine at the University of Bergen is a major academic division responsible for education and research in medical and health sciences.
  • E. Faculty of Medicine
    The Faculty of Medicine at the University of Sarajevo is a leading Bosnian higher education institution dedicated to training medical professionals and advancing biomedical 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 Medicine
Target entity description: The Faculty of Medicine at Taiz University is a higher education institution responsible for training medical professionals and conducting medical education and research in Taiz, Yemen.
  • A. Faculty of Medicine
    The Faculty of Medicine at the University of Tirana is a higher education and research institution responsible for training medical professionals and advancing medical science in Albania.
  • B. Faculty of Medicine
    The Faculty of Medicine at Trakya University is a higher education and research institution responsible for training medical professionals and conducting medical research within the university.
  • C. Faculty of Medicine
    The Faculty of Medicine at Tishreen University is a medical school that trains future physicians and health professionals through academic study, clinical education, and research.
  • D. Faculty of Medicine
    The Faculty of Medicine at Gaziantep University is a medical school that provides education and training for future physicians and conducts research in the health sciences.
  • E. Faculty of Medicine
    The Faculty of Medicine at South Valley University is a higher education institution responsible for training medical professionals and conducting research in the 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63516572c8190a8719c51fd3f7147 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.