Triple
T27660617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OncoAnalytics |
E697110
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | healthcare analytics product |
C16825
|
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 analytics product Context triple: [OncoAnalytics, instanceOf, healthcare analytics product]
-
A.
healthcare analytics platform
chosen
A healthcare analytics platform is a system that aggregates, processes, and analyzes clinical, operational, and financial health data to generate insights that improve patient outcomes, optimize workflows, and support data-driven decision-making.
-
B.
healthcare data platform
A healthcare data platform is an integrated system that securely aggregates, standardizes, and analyzes medical and administrative data from diverse sources to support clinical decision-making, operations, and research.
-
C.
population health management platform
A population health management platform is a system that aggregates and analyzes clinical, claims, and social data to identify risk, coordinate care, and support interventions that improve health outcomes across defined patient populations.
-
D.
healthcare technology company
A healthcare technology company develops and delivers digital tools, platforms, and data-driven solutions that improve the efficiency, quality, and accessibility of medical care and health management.
-
E.
scientific data product
A scientific data product is a processed, quality-controlled dataset or derived information package created from raw observations or experiments to support analysis, interpretation, and reuse in research.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 27, 2026, 2:36 p.m.