Triple

T190537
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, Cairo University E3709 entity
Predicate hasDepartment P35 FINISHED
Object 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.
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 Gynecology | Statement: [Faculty of Medicine, Cairo University, hasDepartment, Department of Obstetrics and Gynecology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Obstetrics and Gynecology
Context triple: [Faculty of Medicine, Cairo University, hasDepartment, Department of Obstetrics and Gynecology]
  • A. 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.
  • B. 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.
  • C. Department of Global Health and Population
    The Department of Global Health and Population is an academic department at the Harvard T.H. Chan School of Public Health focused on research, education, and policy to improve health and reduce inequalities worldwide.
  • D. Faculty of Medicine
    The Faculty of Medicine at the University of Göttingen is a major academic division responsible for medical education, clinical training, and biomedical research within the university.
  • E. Faculty of Medicine
    The Faculty of Medicine at Cairo University is one of Egypt’s oldest and most prestigious medical schools, renowned for training physicians and conducting medical research.
  • 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 Gynecology
Triple: [Faculty of Medicine, Cairo University, hasDepartment, Department of Obstetrics and Gynecology]
Generated description
The Department of Obstetrics and Gynecology is a medical academic and clinical unit specializing in 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 Gynecology
Target entity description: The Department of Obstetrics and Gynecology is a medical academic and clinical unit specializing in women's reproductive health, pregnancy, and childbirth care.
  • A. 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.
  • B. 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.
  • C. Department of Global Health and Population
    The Department of Global Health and Population is an academic department at the Harvard T.H. Chan School of Public Health focused on research, education, and policy to improve health and reduce inequalities worldwide.
  • D. Faculty of Medicine
    The Faculty of Medicine at the University of Göttingen is a major academic division responsible for medical education, clinical training, and biomedical research within the university.
  • E. Faculty of Medicine
    The Faculty of Medicine at Cairo University is one of Egypt’s oldest and most prestigious medical schools, renowned for training physicians and conducting medical research.
  • F. None of above. chosen

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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a2594c385481909e1e088e45c460a4 completed Feb. 28, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69a305e64a9081908f147299826d5ae9 completed Feb. 28, 2026, 3:12 p.m.
NEDg Description generation batch_69a30679b0648190975dcfaf4f9846bf completed Feb. 28, 2026, 3:15 p.m.
NED2 Entity disambiguation (via description) batch_69a306e6ce6c8190a77d42643914b03a completed Feb. 28, 2026, 3:16 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.