Triple
T20514114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wake Forest University School of Medicine |
E503638
|
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: [Wake Forest University School of Medicine, hasDepartment, Department of Anesthesiology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Anesthesiology Context triple: [Wake Forest University School of Medicine, hasDepartment, Department of Anesthesiology]
-
A.
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.
-
B.
Department of Anesthesiology
The Department of Anesthesiology at Charité – Universitätsmedizin Berlin is a leading academic and clinical center specializing in anesthesia, perioperative medicine, pain management, and critical care.
-
C.
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.
-
D.
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.
-
E.
Department of Anesthesiology
The Department of Anesthesiology is an academic and clinical unit specializing in anesthesia, perioperative medicine, and pain management within Nahda University in Beni Suef’s Faculty 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 an academic medical department specializing in anesthesia, perioperative medicine, and pain management through clinical care, education, and research.
-
A.
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.
-
B.
Department of Anesthesiology
The Department of Anesthesiology is a medical specialty division focused on administering anesthesia, managing pain, and ensuring patient safety before, during, and after surgical and diagnostic procedures.
-
C.
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.
-
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 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.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f4066908190a94724697fb8cdcb |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.