Triple
T14395369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Datalore |
E356935
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cloud-based analytics platform |
C4107
|
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: cloud-based analytics platform Context triple: [Datalore, instanceOf, cloud-based analytics platform]
-
A.
analytics platform
chosen
An analytics platform is a software system that collects, processes, and visualizes data from various sources to provide insights and support data-driven decision-making.
-
B.
data processing platform
A data processing platform is an integrated system that ingests, transforms, analyzes, and manages data at scale to enable efficient, reliable, and repeatable data-driven operations and insights.
-
C.
cloud computing platform
A cloud computing platform is an integrated environment that provides on-demand access to scalable computing resources, storage, and services over the internet, enabling users to deploy, manage, and run applications without managing underlying hardware.
-
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.
data warehouse platform
A data warehouse platform is an integrated system that collects, stores, and organizes large volumes of structured data from multiple sources to support efficient querying, reporting, and analytics for business 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 10, 2026, 1:16 a.m.