Triple
T33366852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HPE StoreOnce |
E854379
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | deduplication appliance |
C58252
|
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: deduplication appliance Context triple: [HPE StoreOnce, instanceOf, deduplication appliance]
-
A.
all-flash storage array
An all-flash storage array is a high-performance data storage system that uses only solid-state drives (SSDs) to deliver low-latency, high-throughput access to data for enterprise applications.
-
B.
enterprise storage array family
An enterprise storage array family is a portfolio of related high-performance, highly available storage systems designed to provide scalable, centralized data storage and management for large organizations across diverse workloads.
-
C.
in-memory analytics appliance
An in-memory analytics appliance is a specialized hardware and software system that stores and processes data entirely in RAM to deliver extremely fast, interactive analytical querying and reporting.
-
D.
network appliance
A network appliance is a dedicated hardware or virtual device designed to perform specific network-related functions—such as routing, firewalling, load balancing, or traffic monitoring—to optimize, secure, and manage data communications within a network.
-
E.
storage amphora
A storage amphora is a large, narrow-necked ceramic vessel with two handles, used in antiquity for transporting and storing liquids or bulk goods such as wine, oil, or grain.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:35 a.m.