Triple

T22697898
Position Surface form Disambiguated ID Type / Status
Subject Madras Medical College E561234 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, and childbirth 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: [Madras 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: [Madras 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 Women’s and Reproductive Health
    The Department of Women’s and Reproductive Health is an academic and research department at the University of Oxford focused on advancing knowledge and clinical practice in women’s health, pregnancy, and reproductive medicine.
  • E. 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.
  • 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: [Madras Medical College, 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, and childbirth 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, 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 Women’s and Reproductive Health
    The Department of Women’s and Reproductive Health is an academic and research department at the University of Oxford focused on advancing knowledge and clinical practice in women’s health, pregnancy, and reproductive medicine.
  • E. 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.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178a008448190b393335704128fe8 completed April 29, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ed02a8c819082ac8e416e67bead completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b80ccbfbc8190a88fa7b79960d890 completed May 18, 2026, 9:12 p.m.
NED2 Entity disambiguation (via description) batch_6a0b816a956c8190895d87f74c4785f8 completed May 18, 2026, 9:15 p.m.
Created at: April 17, 2026, 3:14 p.m.