Triple
T10502814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FreeStyle Libre |
E247712
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | diabetes management technology |
C6458
|
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: diabetes management technology Context triple: [FreeStyle Libre, instanceOf, diabetes management technology]
-
A.
diabetes treatment device
chosen
A diabetes treatment device is a medical tool or system designed to monitor blood glucose levels and/or deliver therapies such as insulin to help individuals manage and control their diabetes.
-
B.
insulin pump
An insulin pump is a wearable medical device that delivers precise, continuous doses of insulin to help people with diabetes manage their blood glucose levels.
-
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.
healthcare analytics platform
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.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
Created at: April 6, 2026, 12:25 p.m.