Triple

T8807412
Position Surface form Disambiguated ID Type / Status
Subject Mahatma Gandhi Institute of Medical Sciences E209566 entity
Predicate hasDepartment P35 FINISHED
Object Department of Obstetrics and Gynaecology
The Department of Obstetrics and Gynaecology is a medical specialty unit focused on women's reproductive health, pregnancy, childbirth, and related surgical and clinical care.
E24042 NE FINISHED

How this triple was built (4 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: [Mahatma Gandhi Institute of Medical Sciences, 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: [Mahatma Gandhi Institute of Medical Sciences, hasDepartment, Department of Obstetrics and Gynaecology]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Department of Obstetrics and Gynecology, Duke University
    The Department of Obstetrics and Gynecology at Duke University is a clinical and academic unit specializing in women's reproductive health, pregnancy care, and related research and education within the university's medical center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Department of Obstetrics and Gynaecology
Triple: [Mahatma Gandhi Institute of Medical Sciences, hasDepartment, Department of Obstetrics and Gynaecology]
Generated description
The Department of Obstetrics and Gynaecology is a medical specialty unit focused on women's reproductive health, pregnancy, childbirth, and related surgical and clinical care.
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, childbirth, and related surgical and clinical care.
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Department of Obstetrics and Gynecology, Duke University
    The Department of Obstetrics and Gynecology at Duke University is a clinical and academic unit specializing in women's reproductive health, pregnancy care, and related research and education within the university's medical center.
  • F. None of above.

Provenance (5 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fd2fadc81908b27e9296885af2b completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6fa0e4308190bd01c2d107c8c02d completed April 3, 2026, 7:43 a.m.
NEDg Description generation batch_69cf718a6f2c81908f8b8d08a1437749 completed April 3, 2026, 7:51 a.m.
NED2 Entity disambiguation (via description) batch_69cf7275fea08190b8999fb30663ff17 completed April 3, 2026, 7:55 a.m.
Created at: March 30, 2026, 6:45 p.m.