Triple
T28507121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvester |
E721389
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | hyperconverged infrastructure platform |
C9693
|
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: hyperconverged infrastructure platform Context triple: [Harvester, instanceOf, hyperconverged infrastructure platform]
-
A.
virtualization platform
chosen
A virtualization platform is a software-based system that enables multiple virtual machines or environments to run concurrently on a single physical hardware infrastructure, sharing resources while remaining logically isolated.
-
B.
container-native infrastructure platform
A container-native infrastructure platform is an integrated environment that provisions, orchestrates, and manages compute, networking, and storage resources optimized specifically for running and scaling containerized applications.
-
C.
data center platform
A data center platform is an integrated environment of hardware, software, and management tools that provides scalable, secure, and reliable infrastructure for hosting, processing, and managing data and applications.
-
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.
data center infrastructure management platform
A data center infrastructure management platform is a centralized software system that monitors, analyzes, and optimizes the physical and virtual resources, power, cooling, and capacity of data centers to improve efficiency, reliability, and planning.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 28, 2026, 3:10 a.m.