Triple

T7101380
Position Surface form Disambiguated ID Type / Status
Subject Department of Ophthalmology E165465 entity
Predicate collaboratesWith P37 FINISHED
Object Department of Oncology unclear NED1 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: Department of Oncology | Statement: [Department of Ophthalmology, collaboratesWith, Department of Oncology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Oncology
Context triple: [Department of Ophthalmology, collaboratesWith, Department of Oncology]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Department of Oncology
    The Department of Oncology at University Hospital Zurich is a leading medical 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. 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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e586b7208190bab9429ded35ba4f completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad83aa288190b06262ac9898f5c1 completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:42 p.m.