Triple

T17362505
Position Surface form Disambiguated ID Type / Status
Subject University of Peradeniya E422102 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Medicine — NE ONNED1

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: [University of Peradeniya, hasFaculty, Faculty of Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faculty of Medicine
Context triple: [University of Peradeniya, 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 the University of Peradeniya is a leading Sri Lankan medical school known for training doctors and conducting research in a wide range of health and biomedical disciplines.
  • A. Faculty of Medicine
    The Faculty of Medicine at the University of Ruhuna is a medical school in Sri Lanka that provides undergraduate and postgraduate education and training for future healthcare professionals.
  • B. Faculty of Medicine
    The Faculty of Medicine is the medical school of the National University of San Marcos in Peru, responsible for training physicians and conducting research in health sciences.
  • C. Faculty of Medicine
    The Faculty of Medicine is the medical school of the Universidad de La Frontera in Chile, dedicated to training healthcare professionals and conducting biomedical and clinical research.
  • D. Faculty of Medicine
    The Faculty of Medicine at the University of Chile is a leading Chilean institution for medical education, research, and healthcare training.
  • E. Faculty of Medicine
    The Faculty of Medicine at the University of Padua is a major academic division dedicated to medical education, clinical training, and biomedical research within one of Europe’s oldest universities.
  • F. None of above. chosen

Provenance (3 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4e3c3481909dfaa00334c5010e completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01956294ec819083c1dde8fc2685e4 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.