Triple
T10259154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California medical cannabis community |
E240549
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | healthcare-related social network |
C27804
|
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-related social network Context triple: [California medical cannabis community, instanceOf, healthcare-related social network]
-
A.
public hospital network
A public hospital network is a coordinated system of government-funded hospitals and healthcare facilities that collaboratively provide accessible, often low-cost or free, medical services to a defined population or region.
-
B.
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.
-
C.
health care system
A health care system is an organized network of people, institutions, and resources that delivers medical services and public health interventions to maintain and improve the health of a population.
-
D.
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.
-
E.
health information exchange backbone
A health information exchange backbone is the core infrastructure that securely connects disparate healthcare systems and organizations to enable standardized, real-time sharing of patient health data.
- F. None of above. chosen
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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
Created at: April 6, 2026, 11:31 a.m.