Triple
T17558919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HP Serviceguard |
E427650
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | high-availability clustering software |
C15501
|
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: high-availability clustering software Context triple: [HP Serviceguard, instanceOf, high-availability clustering software]
-
A.
high-availability solution
A high-availability solution is an architecture and set of mechanisms designed to ensure that a system or service remains continuously operational and accessible with minimal downtime, even in the face of failures or maintenance activities.
-
B.
high availability solution
chosen
A high availability solution is a system design and set of mechanisms that ensure critical services remain continuously accessible with minimal downtime, even in the face of failures or maintenance activities.
-
C.
mainframe clustering architecture
A mainframe clustering architecture is a high-availability, scalable configuration in which multiple mainframe systems are interconnected and managed as a single logical resource pool to balance workloads, ensure fault tolerance, and optimize performance.
-
D.
distributed operating system
A distributed operating system is software that manages a collection of independent networked computers and presents them to users and applications as a single coherent system.
-
E.
clustering solution
A clustering solution is a configuration of groups formed by partitioning a dataset into subsets of similar instances according to a defined similarity or distance measure.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.