Triple
T30407267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic Protocol virtual machine |
E773512
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | decentralized virtual machine |
C56463
|
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: decentralized virtual machine Context triple: [Republic Protocol virtual machine, instanceOf, decentralized virtual machine]
-
A.
lightweight virtual machine technology
Lightweight virtual machine technology is a virtualization approach that provides isolated, minimal-footprint environments—often using shared kernels or stripped-down images—to run applications efficiently with reduced overhead compared to traditional virtual machines.
-
B.
register-based virtual machine
A register-based virtual machine is an abstract computing model that executes instructions by operating primarily on a fixed set of virtual registers rather than a stack.
-
C.
virtual machine monitor
A virtual machine monitor is a software or firmware layer that creates, manages, and isolates virtual machines by mediating access to the underlying hardware resources.
-
D.
virtual machine monitor
A virtual machine monitor is a software layer that creates, runs, and manages virtual machines by abstracting and controlling the underlying physical hardware resources.
-
E.
decentralized field representation
A decentralized field representation is a way of encoding a spatially or temporally varying quantity using many local, distributed parameters or agents, rather than a single centralized model, so that the overall field emerges from their collective behavior.
- 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_69f22490b8b48190ab10c886a8d58c89 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:04 p.m.