Triple
T12322213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon SageMaker |
E293756
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cloud machine learning platform |
C6083
|
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 machine learning platform Context triple: [Amazon SageMaker, instanceOf, cloud machine learning platform]
-
A.
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.
-
B.
machine learning platform component
A machine learning platform component is a modular software element that provides specific functionality—such as data processing, model training, deployment, or monitoring—within an integrated ML lifecycle system.
-
C.
cloud service
chosen
A cloud service is an on-demand, internet-delivered computing resource—such as storage, processing power, or applications—managed by a provider and accessed remotely by users.
-
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.
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.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:53 p.m.