Triple
T10234154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bassett Medical Center teaching facilities |
E243419
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | teaching hospital facilities |
C93
|
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: teaching hospital facilities Context triple: [Bassett Medical Center teaching facilities, instanceOf, teaching hospital facilities]
-
A.
teaching hospital
chosen
A teaching hospital is a medical facility that provides patient care while simultaneously serving as a training and research center for medical students, residents, and other healthcare professionals, typically in affiliation with a medical school.
-
B.
hospital system facilities
A hospital system facilities class represents the physical infrastructure, equipment, and support services that enable the delivery of healthcare across one or more hospital locations.
-
C.
medical campus
A medical campus is a dedicated complex that integrates healthcare facilities, educational institutions, research centers, and support services within a unified environment focused on medical care and advancement.
-
D.
public medical university
A public medical university is a government-funded higher education institution that provides medical and health sciences education, conducts research, and offers clinical services to train healthcare professionals for public service.
-
E.
practice facility
A practice facility is a dedicated space equipped with specialized resources and environments where individuals or teams regularly train and refine their skills in a particular activity or discipline.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
Created at: April 6, 2026, 11:21 a.m.