Triple
T11812611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine, The Chinese University of Hong Kong |
E280909
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
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.
|
E947545
|
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: [Faculty of Medicine, The Chinese University of Hong Kong, 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: [Faculty of Medicine, The Chinese University of Hong Kong, 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: [Faculty of Medicine, The Chinese University of Hong Kong, hasDepartment, Department of Obstetrics and Gynaecology]
Generated description
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.
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 clinical academic unit specializing in women’s reproductive health, pregnancy, and childbirth within the Chinese University of Hong Kong’s medical faculty.
-
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
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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5cba708819097467bb7aca7fc65 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f131a01aa48190bf5a70759ac886f6 |
completed | April 28, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69f141b31c9081908f19ff870f5f3c33 |
completed | April 28, 2026, 11:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f14fdb39d48190828668fc535d7f6a |
completed | April 29, 2026, 12:24 a.m. |
Created at: April 8, 2026, 9:42 p.m.