Triple

T19669733
Position Surface form Disambiguated ID Type / Status
Subject Bundelkhand Medical College E472300 entity
Predicate hasDepartment P35 FINISHED
Object Department of Dermatology 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 Dermatology | Statement: [Bundelkhand Medical College, hasDepartment, Department of Dermatology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Dermatology
Context triple: [Bundelkhand Medical College, hasDepartment, Department of Dermatology]
  • A. Department of Dermatology
    The Department of Dermatology at the University Medical Center Göttingen is a clinical and academic unit specializing in the diagnosis, treatment, and research of skin, hair, and nail diseases.
  • B. Department of Dermatology
    The Department of Dermatology at the UNC School of Medicine is an academic clinical department specializing in the research, education, and treatment of skin, hair, and nail disorders.
  • C. Department of Dermatology
    The Department of Dermatology is a clinical and academic unit at King George’s Medical University specializing in the diagnosis, treatment, and research of skin, hair, and nail disorders.
  • D. Department of Dermatology
    The Department of Dermatology is a medical specialty unit focused on diagnosing and treating diseases of the skin, hair, and nails.
  • E. Department of Dermatology
    The Department of Dermatology is a medical specialty unit at Uppsala University Hospital focused on diagnosing and treating skin, hair, and nail disorders.
  • 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 Dermatology
Target entity description: The Department of Dermatology is a clinical academic unit at Bundelkhand Medical College specializing in the diagnosis, treatment, and research of skin, hair, and nail disorders.
  • A. Department of Dermatology
    The Department of Dermatology is a clinical and academic unit at King George’s Medical University specializing in the diagnosis, treatment, and research of skin, hair, and nail disorders.
  • B. Department of Dermatology
    The Department of Dermatology is a clinical and research unit specializing in the diagnosis and treatment of skin, hair, and nail diseases, as well as dermatologic surgery and related therapies.
  • C. Department of Dermatology
    The Department of Dermatology is a medical specialty unit focused on diagnosing and treating diseases of the skin, hair, and nails.
  • D. Department of Dermatology
    The Department of Dermatology is a clinical and academic unit specializing in the diagnosis, treatment, and research of skin, hair, and nail diseases within Hacettepe University’s Faculty of Medicine.
  • E. Department of Dermatology
    The Department of Dermatology at the UNC School of Medicine is an academic clinical department specializing in the research, education, and treatment of skin, hair, and nail disorders.
  • 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_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.