Triple
T18036483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sentara Center for Simulation and Immersive Learning |
E431519
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | healthcare training center |
C26563
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: healthcare training center Context triple: [Sentara Center for Simulation and Immersive Learning, instanceOf, healthcare training center]
-
A.
surgical training centre
A surgical training centre is a specialized facility where medical professionals learn, practice, and refine surgical skills using structured curricula, simulation technologies, and supervised clinical experiences.
-
B.
health professions education center
chosen
A health professions education center is an academic and clinical hub that coordinates, delivers, and advances interprofessional education, training, and research for current and future healthcare providers.
-
C.
education center
An education center is an institution or facility dedicated to providing structured learning experiences, resources, and support services to help individuals develop knowledge, skills, and competencies.
-
D.
medical education site
A medical education site is an online platform that provides structured, evidence-based learning resources and tools to support the training, assessment, and continuing education of healthcare professionals and students.
-
E.
clinical care provider
A clinical care provider is a trained healthcare professional who assesses, diagnoses, treats, and manages patients’ health needs in clinical settings.
- F. None of above.
Provenance (1 batch)
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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:25 a.m.