Triple

T7613054
Position Surface form Disambiguated ID Type / Status
Subject Grand River Hospital E172289 entity
Predicate hasDepartment P35 FINISHED
Object Oncology Department E490452 NE FINISHED

How this triple was built (2 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: Oncology Department | Statement: [Grand River Hospital, hasDepartment, Oncology Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oncology Department
Context triple: [Grand River Hospital, hasDepartment, Oncology Department]
  • A. Oncology Department chosen
    The Oncology Department is a specialized medical unit focused on diagnosing, treating, and managing cancer patients.
  • B. Department of Oncology
    The Department of Oncology at Johns Hopkins School of Medicine is a leading academic and clinical center focused on cancer research, treatment, and education.
  • C. Department of Oncology
    The Department of Oncology is an academic and clinical unit at McGill University’s Faculty of Medicine and Health Sciences dedicated to cancer research, education, and patient care.
  • D. Department of Oncology
    The Department of Oncology at the University Medical Center Göttingen is a clinical and research unit specializing in the diagnosis, treatment, and study of cancer.
  • E. Department of Oncology
    The Department of Oncology at Charité – Universitätsmedizin Berlin is a leading clinical and research center specializing in the diagnosis, treatment, and study of cancer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa23981c81908168ac0ac9add5d8 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86868dce08190b31229ff2e06fe0c completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:55 p.m.