Triple

T20540605
Position Surface form Disambiguated ID Type / Status
Subject Université Paris-Sud E504318 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: [Université Paris-Sud, hasFaculty, Faculty of Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine
Context triple: [Université Paris-Sud, hasFaculty, Faculty of Medicine]
  • A. Faculty of Medicine
    The Faculty of Medicine at the University of Chile is a leading Chilean institution for medical education, research, and healthcare training.
  • 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 at Kabul University is a leading Afghan medical school responsible for training physicians and conducting medical education and research in Kabul.
  • D. Faculty of Medicine
    The Faculty of Medicine at Universitas Brawijaya is a medical education and research institution in Indonesia that trains future doctors and health professionals.
  • 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 at Université Paris-Sud is a major French medical school and research institution known for training physicians and advancing biomedical research in the Paris region.
  • A. Faculty of Medicine
    The Faculty of Medicine at Sorbonne University is a major French medical school and research institution known for training physicians and advancing biomedical research in Paris.
  • B. Faculty of Medicine
    The Faculty of Medicine at Université Paris V René Descartes is a major French medical school known for training physicians and conducting biomedical research in Paris.
  • C. Faculty of Medicine
    The Faculty of Medicine at the University of Strasbourg is a major French medical school that provides education, training, and research in medicine and health sciences.
  • D. Faculty of Medicine
    The Faculty of Medicine at Université Paris 7 Denis Diderot is a medical school in Paris that trains future physicians and conducts research in biomedical and clinical sciences.
  • E. Faculty of Medicine
    The Faculty of Medicine is the medical school of Université de Versailles Saint-Quentin-en-Yvelines, responsible for training future physicians and conducting biomedical research.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a29224f081908298d104161c5bb9 completed April 20, 2026, 10:02 p.m.
Created at: April 16, 2026, 11:37 a.m.