Triple

T22697899
Position Surface form Disambiguated ID Type / Status
Subject Madras Medical College E561234 entity
Predicate hasDepartment P35 FINISHED
Object Department of Pediatrics 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 Pediatrics | Statement: [Madras Medical College, hasDepartment, Department of Pediatrics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Pediatrics
Context triple: [Madras Medical College, hasDepartment, Department of Pediatrics]
  • A. Department of Pediatrics
    The Department of Pediatrics at Cairo University's Faculty of Medicine is an academic and clinical unit specializing in the healthcare, research, and medical education related to infants, children, and adolescents.
  • B. Department of Pediatrics
    The Department of Pediatrics at AIIMS Delhi is a leading academic and clinical center in India dedicated to child health care, pediatric research, and specialist medical training.
  • C. Department of Pediatrics
    The Department of Pediatrics at the University of British Columbia is an academic and clinical department focused on the healthcare, research, and education related to infants, children, and adolescents.
  • D. Department of Pediatrics
    The Department of Pediatrics is a clinical and academic unit at Baystate Medical Center specializing in medical care for infants, children, and adolescents.
  • E. Department of Pediatrics
    The Department of Pediatrics at Yonsei University's College of Medicine is a clinical and academic unit specializing in the medical care, research, and education related to infants, children, and adolescents.
  • 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 Pediatrics
Target entity description: The Department of Pediatrics is a medical academic and clinical unit specializing in the healthcare and treatment of infants, children, and adolescents.
  • A. Department of Pediatrics chosen
    The Department of Pediatrics is a major clinical and academic unit specializing in the medical care, research, and teaching related to infants, children, and adolescents.
  • B. Department of Pediatrics
    The Department of Pediatrics is a clinical and academic unit at King George’s Medical University specializing in the healthcare, treatment, and research of diseases in infants, children, and adolescents.
  • C. Department of Pediatrics
    The Department of Pediatrics is the academic and clinical unit within the Joan C. Edwards School of Medicine that focuses on the healthcare, research, and medical education related to infants, children, and adolescents.
  • D. Department of Pediatrics
    The Department of Pediatrics is a clinical and academic unit at Baystate Medical Center specializing in medical care for infants, children, and adolescents.
  • E. Department of Pediatrics
    The Department of Pediatrics at Shanghai Children’s Medical Center is a clinical and academic unit specializing in the diagnosis, treatment, and research of diseases and health conditions affecting infants, children, and adolescents.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178a008448190b393335704128fe8 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:14 p.m.