Triple

T19669729
Position Surface form Disambiguated ID Type / Status
Subject Bundelkhand Medical College E472300 entity
Predicate hasDepartment P35 FINISHED
Object Department of Ophthalmology 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: Department of Ophthalmology | Statement: [Bundelkhand Medical College, hasDepartment, Department of Ophthalmology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Ophthalmology
Context triple: [Bundelkhand Medical College, hasDepartment, Department of Ophthalmology]
  • A. Department of Ophthalmology
    The Department of Ophthalmology at the University of Pittsburgh School of Medicine is a clinical and research division specializing in eye care, vision science, and the treatment and study of ocular diseases.
  • B. Department of Ophthalmology
    The Department of Ophthalmology is a specialized clinical and research unit focused on the diagnosis, treatment, and study of eye diseases and visual disorders.
  • C. Department of Ophthalmology
    The Department of Ophthalmology is a clinical and academic unit at King George’s Medical University specializing in the diagnosis, treatment, and research of eye diseases and vision care.
  • D. Department of Ophthalmology
    The Department of Ophthalmology at the University Medical Center Göttingen is a clinical and academic unit specializing in the diagnosis, treatment, and research of eye diseases and visual disorders.
  • E. Department of Ophthalmology
    The Department of Ophthalmology is a medical academic and clinical unit specializing in eye health, vision care, and related research within Hacettepe University’s Faculty of Medicine.
  • 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: Department of Ophthalmology
Target entity description: The Department of Ophthalmology is a medical specialty unit focused on the diagnosis, treatment, and surgical management of eye diseases and vision disorders.
  • A. Department of Ophthalmology
    The Department of Ophthalmology at the University Medical Center Göttingen is a clinical and academic unit specializing in the diagnosis, treatment, and research of eye diseases and visual disorders.
  • B. Department of Ophthalmology chosen
    The Department of Ophthalmology is a specialized clinical and research unit focused on the diagnosis, treatment, and study of eye diseases and visual disorders.
  • C. Department of Ophthalmology
    The Department of Ophthalmology is a clinical and academic unit at King George’s Medical University specializing in the diagnosis, treatment, and research of eye diseases and vision care.
  • D. Department of Ophthalmology
    The Department of Ophthalmology is a medical academic and clinical unit specializing in eye health, vision care, and related research within Hacettepe University’s Faculty of Medicine.
  • E. Department of Ophthalmology
    The Department of Ophthalmology at the University of Pittsburgh School of Medicine is a clinical and research division specializing in eye care, vision science, and the treatment and study of ocular diseases.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416ad1b481908d2890d8c21aac5c completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.