Triple
T20514113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wake Forest University School of Medicine |
E503638
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Department of Radiology |
—
|
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 Radiology | Statement: [Wake Forest University School of Medicine, hasDepartment, Department of Radiology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Radiology Context triple: [Wake Forest University School of Medicine, hasDepartment, Department of Radiology]
-
A.
Department of Radiology
The Department of Radiology at Cairo University's Faculty of Medicine is an academic and clinical unit specializing in medical imaging education, research, and diagnostic services.
-
B.
Department of Radiology
The Department of Radiology is a medical academic and clinical unit specializing in diagnostic imaging and image-guided interventions within Hacettepe University’s Faculty of Medicine.
-
C.
Department of Radiology
The Department of Radiology at University Medical Center Göttingen is a clinical and academic unit specializing in medical imaging for diagnosis, treatment planning, and research.
-
D.
Department of Radiology
The Department of Radiology at the University of British Columbia’s Faculty of Medicine is an academic and clinical unit focused on imaging-based diagnosis, treatment, and research, as well as training radiologists and related specialists.
-
E.
Department of Radiology
The Department of Radiology is an academic and clinical unit specializing in medical imaging for diagnosis and treatment, operating within the Faculty of Medicine at Nahda University in Beni Suef.
- 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 Radiology Target entity description: The Department of Radiology is an academic medical division specializing in diagnostic imaging, image-guided therapies, and radiological research and education within a medical school or health system.
-
A.
Department of Radiology
chosen
The Department of Radiology is a medical specialty division focused on diagnosing and treating diseases using imaging technologies such as X-rays, CT, MRI, and ultrasound.
-
B.
Department of Radiology
The Department of Radiology is an academic medical department specializing in diagnostic imaging and image-guided therapies within the UNC School of Medicine.
-
C.
Department of Radiology
The Department of Radiology at the University of Pittsburgh School of Medicine is an academic and clinical department specializing in medical imaging, diagnostic radiology, and image-guided therapies, integrating research, education, and patient care.
-
D.
Department of Radiology
The Department of Radiology is a medical academic and clinical unit specializing in diagnostic imaging and image-guided therapies within Kindai University’s Faculty of Medicine.
-
E.
Department of Radiology
The Department of Radiology at Cairo University's Faculty of Medicine is an academic and clinical unit specializing in medical imaging education, research, and diagnostic services.
- F. None of above.
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.