Triple
T37657844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure Reserved Virtual Machine Instances |
E937645
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Azure cost optimization feature |
C39313
|
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: Azure cost optimization feature Context triple: [Azure Reserved Virtual Machine Instances, instanceOf, Azure cost optimization feature]
-
A.
cloud computing service feature
chosen
A cloud computing service feature is a specific capability or function offered by a cloud provider—such as storage, compute, networking, or security—that users can configure and consume on demand over the internet.
-
B.
cloud automation tool
A cloud automation tool is software that programmatically manages, configures, and orchestrates cloud resources and services to streamline deployment, scaling, and operations with minimal manual intervention.
-
C.
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.
-
D.
cloud service
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.
-
E.
public cloud provider
A public cloud provider is a third-party company that offers scalable, on-demand computing resources and services over the internet to multiple customers on a shared infrastructure.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.