Triple
T18828987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dash Enterprise |
E460471
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | application deployment platform |
C5174
|
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: application deployment platform Context triple: [Dash Enterprise, instanceOf, application deployment platform]
-
A.
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.
-
B.
platform as a service
chosen
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.
-
C.
data application platform
A data application platform is an integrated environment that enables users to ingest, store, process, analyze, and operationalize data to rapidly build, deploy, and manage data-driven applications at scale.
-
D.
cloud infrastructure management platform
A cloud infrastructure management platform is a centralized system that automates, orchestrates, monitors, and optimizes the provisioning, configuration, scaling, and governance of cloud resources across multiple environments and providers.
-
E.
cloud-native application
A cloud-native application is a software system designed and built specifically to run in cloud environments, leveraging microservices, containers, dynamic orchestration, and continuous delivery to achieve scalability, resilience, and rapid iteration.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.