Triple

T20376442
Position Surface form Disambiguated ID Type / Status
Subject UniPG E497704 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: [UniPG, hasFaculty, Faculty of Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine
Context triple: [UniPG, 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 at Universitas Padjadjaran is a major Indonesian medical school that educates future physicians and conducts research and clinical services in the health sciences.
  • D. 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.
  • E. Faculty of Medicine
    The Faculty of Medicine at the Federal University of Paraná is a major Brazilian medical school known for training physicians and conducting research in health and biomedical sciences.
  • 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 Perugia (UniPG) is the university’s medical school, responsible for training healthcare professionals and conducting research in medical and health sciences.
  • A. Faculty of Medicine chosen
    The Faculty of Medicine at the University of Perugia is the division responsible for medical education, clinical training, and biomedical research within the university.
  • B. Faculty of Medicine
    The Faculty of Medicine at the University of Parma is the division responsible for medical education, clinical training, and biomedical research within the university.
  • C. 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.
  • D. Faculty of Medicine
    The Faculty of Medicine at the University of Genoa is the university’s medical school, responsible for training healthcare professionals and conducting research in medical and health sciences.
  • E. Faculty of Medicine
    The Faculty of Medicine at the University of Udine is the academic division responsible for medical education, clinical training, and biomedical research within the university.
  • F. None of above.

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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678ad74348190ac57d38eaa56beb3 completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.