Triple
T18016926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowflake Native Apps |
E431018
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data application platform |
C40305
|
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: data application platform Context triple: [Snowflake Native Apps, instanceOf, data application platform]
-
A.
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.
-
B.
data center platform
A data center platform is an integrated environment of hardware, software, and management tools that provides scalable, secure, and reliable infrastructure for hosting, processing, and managing data and applications.
-
C.
platform as a service
Platform as a Service (PaaS) is a cloud computing model that provides a complete development and deployment environment—including infrastructure, runtime, and tools—so developers can build, run, and manage applications without handling underlying hardware or system software.
-
D.
application lifecycle management platform
An application lifecycle management platform is an integrated system that supports planning, development, testing, deployment, maintenance, and governance of software applications throughout their entire lifecycle.
-
E.
data integration platform
A data integration platform is a system that connects, transforms, and consolidates data from disparate sources into a unified, accessible, and consistent view for analysis and operational use.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:24 a.m.