Triple
T23514152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WWC |
E572509
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | evidence review organization |
C187
|
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: evidence review organization Context triple: [WWC, instanceOf, evidence review organization]
-
A.
health systems research organisation
A health systems research organisation is an entity that systematically studies how health services are organized, financed, delivered, and governed to generate evidence that improves the performance, equity, and resilience of health systems.
-
B.
healthcare technology research organization
A healthcare technology research organization is an entity that investigates, develops, and evaluates innovative digital and medical technologies to improve patient care, clinical workflows, and health system outcomes.
-
C.
research organization
chosen
A research organization is an institution that systematically investigates specific questions or problems to generate new knowledge, technologies, or insights, often within scientific, academic, or applied domains.
-
D.
health technology assessment agency
A health technology assessment agency is an organization that systematically evaluates the clinical, economic, and social impacts of health technologies to inform healthcare policy, coverage, and resource allocation decisions.
-
E.
benefit eligibility review
A benefit eligibility review is a formal assessment process used to verify whether an individual or entity continues to meet the criteria required to receive specific benefits or assistance.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
Created at: April 17, 2026, 6:08 p.m.