Triple

T19151304
Position Surface form Disambiguated ID Type / Status
Subject University of Pittsburgh School of Medicine E468813 entity
Predicate hasAcademicDepartment P589 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: [University of Pittsburgh School of Medicine, hasAcademicDepartment, Department of Ophthalmology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Ophthalmology
Context triple: [University of Pittsburgh School of Medicine, hasAcademicDepartment, Department of Ophthalmology]
  • 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
    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 and Visual Sciences
    The Department of Ophthalmology and Visual Sciences is an academic and clinical unit specializing in eye care, vision research, and the training of ophthalmology professionals.
  • 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 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.
  • 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
    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 and Visual Sciences
    The Department of Ophthalmology and Visual Sciences is an academic and clinical unit specializing in eye care, vision research, and the training of ophthalmology professionals.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e97cfaa08190b7085d28fe970108 completed April 20, 2026, 8:53 a.m.
Created at: April 10, 2026, 12:06 p.m.