Triple
T29858826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVLink interconnect |
E758260
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | GPU interconnect |
C44002
|
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: GPU interconnect Context triple: [NVLink interconnect, instanceOf, GPU interconnect]
-
A.
high-performance computing interconnect device
chosen
A high-performance computing interconnect device is specialized hardware that links compute nodes with low-latency, high-bandwidth communication to enable efficient parallel processing in large-scale systems.
-
B.
high-performance computing interconnect
A high-performance computing interconnect is a specialized, low-latency, high-bandwidth communication network that links compute nodes in large-scale systems to enable fast data exchange and efficient parallel processing.
-
C.
InfiniBand interconnect generation
InfiniBand interconnect generation represents the process and configuration logic for creating, parameterizing, and managing high-speed InfiniBand fabric topologies and their associated connectivity resources.
-
D.
GPU architecture
GPU architecture is the conceptual design and organization of a graphics processing unit’s cores, memory hierarchy, and data paths that enable massively parallel computation for graphics and general-purpose workloads.
-
E.
GPU communication library
A GPU communication library is a software component that provides efficient, high-throughput data transfer and synchronization primitives between GPUs, often across nodes, to enable scalable parallel computation.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 5:48 p.m.