Triple

T19669726
Position Surface form Disambiguated ID Type / Status
Subject Bundelkhand Medical College E472300 entity
Predicate hasDepartment P35 FINISHED
Object Department of Obstetrics and Gynaecology 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 Obstetrics and Gynaecology | Statement: [Bundelkhand Medical College, hasDepartment, Department of Obstetrics and Gynaecology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Obstetrics and Gynaecology
Context triple: [Bundelkhand Medical College, hasDepartment, Department of Obstetrics and Gynaecology]
  • A. Department of Obstetrics and Gynaecology
    The Department of Obstetrics and Gynaecology is a clinical academic unit specializing in women’s reproductive health, pregnancy, and childbirth within the Chinese University of Hong Kong’s medical faculty.
  • B. Department of Obstetrics and Gynecology
    The Department of Obstetrics and Gynecology is a medical academic and clinical unit specializing in women's reproductive health, pregnancy, and childbirth care.
  • C. Department of Gynecology
    The Department of Gynecology is a specialized clinical and research unit focused on women’s reproductive health, including the diagnosis, treatment, and prevention of gynecological diseases.
  • D. Department of Obstetrics and Gynaecology, University of Cambridge
    The Department of Obstetrics and Gynaecology at the University of Cambridge is an academic and clinical centre focused on research, education, and specialist care in pregnancy, childbirth, and women's reproductive health.
  • E. Obstetrics & Gynecology
    Obstetrics & Gynecology is a leading peer-reviewed medical journal focusing on research and clinical practice in women's reproductive health and related surgical and medical specialties.
  • 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 Obstetrics and Gynaecology
Target entity description: The Department of Obstetrics and Gynaecology is a medical specialty unit focused on women's reproductive health, pregnancy, and childbirth care.
  • A. Department of Obstetrics and Gynaecology
    The Department of Obstetrics and Gynaecology is a clinical academic unit specializing in women’s reproductive health, pregnancy, and childbirth within the Chinese University of Hong Kong’s medical faculty.
  • B. Department of Obstetrics and Gynecology chosen
    The Department of Obstetrics and Gynecology is a medical academic and clinical unit specializing in women's reproductive health, pregnancy, and childbirth care.
  • C. Department of Gynecology
    The Department of Gynecology is a specialized clinical and research unit focused on women’s reproductive health, including the diagnosis, treatment, and prevention of gynecological diseases.
  • D. Department of Obstetrics and Gynaecology, University of Cambridge
    The Department of Obstetrics and Gynaecology at the University of Cambridge is an academic and clinical centre focused on research, education, and specialist care in pregnancy, childbirth, and women's reproductive health.
  • E. Obstetrics & Gynecology
    Obstetrics & Gynecology is a leading peer-reviewed medical journal focusing on research and clinical practice in women's reproductive health and related surgical and medical specialties.
  • 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.