Triple
T19151301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Pittsburgh School of Medicine |
E468813
|
entity |
| Predicate | hasAcademicDepartment |
P589
|
FINISHED |
| Object | Department of Anesthesiology |
—
|
NE NERFINISHED |
How this triple was built (3 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 Anesthesiology | Statement: [University of Pittsburgh School of Medicine, hasAcademicDepartment, Department of Anesthesiology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Anesthesiology Context triple: [University of Pittsburgh School of Medicine, hasAcademicDepartment, Department of Anesthesiology]
-
A.
Department of Anesthesiology
The Department of Anesthesiology at Kyoto University's Graduate School of Medicine is an academic and clinical department specializing in anesthesia, perioperative medicine, and pain management research and education.
-
B.
Department of Anesthesiology
The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative care, and pain management within Ankara University’s Faculty of Medicine.
-
C.
Department of Anesthesiology
The Department of Anesthesiology at the University of Tokyo’s Faculty of Medicine is a clinical and academic unit specializing in anesthesia, perioperative medicine, and pain management research and education.
-
D.
Department of Anesthesiology
The Department of Anesthesiology is a clinical and academic unit specializing in anesthesia, perioperative medicine, and pain management within the Faculty of Medicine at Tohoku University.
-
E.
Department of Anesthesiology
The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative care, and pain management within Medical College Jabalpur.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Anesthesiology Target entity description: The Department of Anesthesiology is an academic medical department specializing in anesthesia, perioperative medicine, and pain management within the University of Pittsburgh School of Medicine.
-
A.
Department of Anesthesiology
The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative medicine, and pain management within the UNC School of Medicine.
-
B.
Department of Anesthesiology
The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative care, and pain management within Ankara University’s Faculty of Medicine.
-
C.
Department of Anesthesiology
The Department of Anesthesiology is a clinical and academic unit specializing in anesthesia, perioperative medicine, and pain management within Ghent University Hospital.
-
D.
Department of Anesthesiology
The Department of Anesthesiology is an academic and clinical unit specializing in anesthesia, perioperative medicine, and pain management within Cairo University's Faculty of Medicine.
-
E.
Department of Anesthesiology
The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative care, and pain management within King George’s Medical University.
- F. None of above. chosen
Provenance (2 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. |
Created at: April 10, 2026, 12:06 p.m.