Triple
T30413708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNM Cancer Center |
E773692
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | teaching hospital component |
C22585
|
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 component Context triple: [UNM Cancer Center, instanceOf, teaching hospital component]
-
A.
teaching hospital
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.
academic medical center unit
chosen
An academic medical center unit is a specialized organizational subdivision within a teaching hospital or academic health system that integrates patient care, medical education, and research in a specific clinical or administrative domain.
-
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.
medical academic department
A medical academic department is an organizational unit within a medical school or academic health center responsible for education, research, and clinical services in a specific medical specialty or discipline.
-
E.
public academic health center
A public academic health center is a publicly funded medical institution that integrates patient care, health professions education, and biomedical research, typically affiliated with a university.
- 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_69f22490b8b48190ab10c886a8d58c89 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:05 p.m.