Triple
T21271008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indira Gandhi Government Medical College (Nagpur) |
E524253
|
entity |
| Predicate | hasDepartment |
P35
|
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: [Indira Gandhi Government Medical College (Nagpur), hasDepartment, Department of Anesthesiology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Anesthesiology Context triple: [Indira Gandhi Government Medical College (Nagpur), hasDepartment, Department of Anesthesiology]
-
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 King George’s Medical University.
-
C.
Department of Anesthesiology
The Department of Anesthesiology is a medical specialty unit responsible for administering anesthesia and managing perioperative pain and critical care for patients undergoing procedures at Yokohama City University Hospital.
-
D.
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.
-
E.
Department of Anesthesiology
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.
- 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 a clinical and academic unit specializing in anesthesia, perioperative care, pain management, and critical care services within Indira Gandhi Government Medical College, Nagpur.
-
A.
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.
-
B.
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.
-
C.
Department of Anesthesiology
The Department of Anesthesiology is an academic medical department specializing in anesthesia, perioperative medicine, and pain management through clinical care, education, and research.
-
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 clinical and academic unit specializing in anesthesia, perioperative medicine, pain management, and critical care within the University Medical Center Göttingen.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736534c348190a8d29e8d724dd40a |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:01 p.m.