Triple
T9632919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HPE Alletra |
E232849
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cloud-native storage platform |
C23252
|
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-native storage platform Context triple: [HPE Alletra, instanceOf, cloud-native storage platform]
-
A.
software-defined storage platform
chosen
A software-defined storage platform is an abstracted, policy-driven storage system that virtualizes underlying hardware resources to deliver flexible, scalable, and centrally managed data services.
-
B.
distributed storage engine
A distributed storage engine is a system that manages and coordinates data storage across multiple networked nodes to provide scalable, fault-tolerant, and high-performance data access.
-
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 storage service
A cloud storage service is an online platform that securely stores, syncs, and manages users’ digital files on remote servers, enabling access and sharing from any internet-connected device.
-
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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
Created at: March 30, 2026, 8:11 p.m.