Triple

T17579426
Position Surface form Disambiguated ID Type / Status
Subject University of Messina E428159 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: [University of Messina, 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 Messina, hasFaculty, Faculty of Medicine]
  • A. Faculty of Medicine
    The Faculty of Medicine at Tohoku University is a leading Japanese medical school and research institution known for its contributions to clinical medicine and biomedical science.
  • B. Faculty of Medicine
    The Faculty of Medicine at Ege University is a major Turkish medical school and teaching hospital known for training physicians and conducting clinical and biomedical research.
  • C. 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.
  • D. Faculty of Medicine
    The Faculty of Medicine at the University of Limoges is a higher education and research institution dedicated to training medical professionals and advancing biomedical knowledge in the Limoges region of France.
  • E. Faculty of Medicine
    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.
  • 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 Messina is an academic division dedicated to medical education, clinical training, and biomedical research in Messina, Italy.
  • A. Faculty of Medicine
    The Faculty of Medicine at the University of Pisa is a major academic division dedicated to medical education, clinical training, and biomedical research within one of Italy’s oldest universities.
  • B. Faculty of Medicine
    The Faculty of Medicine is the medical school of the University of Catania, providing education and training in medicine and related health sciences.
  • C. Faculty of Medicine
    The Faculty of Medicine at the University of Murcia is an academic division dedicated to medical education, clinical training, and biomedical research within the university.
  • D. Faculty of Medicine
    The Faculty of Medicine at the University of Milan is a major Italian medical school responsible for training physicians and conducting biomedical research within the university.
  • E. Faculty of Medicine
    The Faculty of Medicine at the University of Palermo is an academic division dedicated to medical education, clinical training, and biomedical research within the university.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cc493c8190965680cf786aa531 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.