Triple
T18036482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sentara Center for Simulation and Immersive Learning |
E431519
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | simulation center |
C27186
|
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: simulation center Context triple: [Sentara Center for Simulation and Immersive Learning, instanceOf, simulation center]
-
A.
simulation centre
chosen
A simulation centre is a specialized facility equipped with realistic environments, tools, and technologies to replicate real-world scenarios for training, education, research, and performance evaluation.
-
B.
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.
-
C.
research simulator
A research simulator is a virtual environment or tool that models real-world research processes, allowing users to design, conduct, and analyze simulated studies for learning, experimentation, or decision-making.
-
D.
flight simulation facility
A flight simulation facility is a specialized environment equipped with advanced simulators and support systems that replicate real-world aircraft operations for pilot training, research, and systems testing.
-
E.
educational simulation program
An educational simulation program is an interactive software application that models real-world systems or scenarios to help learners explore concepts, practice skills, and understand complex processes through experiential learning.
- 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.