Triple
T19151302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Pittsburgh School of Medicine |
E468813
|
entity |
| Predicate | hasAcademicDepartment |
P589
|
FINISHED |
| Object |
Department of Obstetrics, Gynecology and Reproductive Sciences
The Department of Obstetrics, Gynecology and Reproductive Sciences is a medical academic department specializing in women’s reproductive health, pregnancy care, and related clinical and research programs.
|
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, Gynecology and Reproductive Sciences | Statement: [University of Pittsburgh School of Medicine, hasAcademicDepartment, Department of Obstetrics, Gynecology and Reproductive Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Obstetrics, Gynecology and Reproductive Sciences Context triple: [University of Pittsburgh School of Medicine, hasAcademicDepartment, Department of Obstetrics, Gynecology and Reproductive Sciences]
-
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 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.
-
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 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.
-
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.
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, Gynecology and Reproductive Sciences Triple: [University of Pittsburgh School of Medicine, hasAcademicDepartment, Department of Obstetrics, Gynecology and Reproductive Sciences]
Generated description
The Department of Obstetrics, Gynecology and Reproductive Sciences is a medical academic department specializing in women’s reproductive health, pregnancy care, and related clinical and research programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Obstetrics, Gynecology and Reproductive Sciences Target entity description: The Department of Obstetrics, Gynecology and Reproductive Sciences is a medical academic department specializing in women’s reproductive health, pregnancy care, and related clinical and research programs.
-
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 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.
-
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 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.
-
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 (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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97cfaa08190b7085d28fe970108 |
completed | April 20, 2026, 8:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f25476488190aa7dd874a54ecb91 |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f41269748190b6fa6301d8eb4f4f |
completed | May 15, 2026, 10:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4da6b04819084dab89e9b3c5d3e |
completed | May 15, 2026, 10:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.