Triple
T8822647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA Tesla data center GPUs |
E209943
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data center accelerator |
C8436
|
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: data center accelerator Context triple: [NVIDIA Tesla data center GPUs, instanceOf, data center accelerator]
-
A.
data center
A data center is a specialized facility that houses networked computer systems, storage, and infrastructure to process, manage, and store large volumes of digital data.
-
B.
data center network
A data center network is a specialized, high-performance communication infrastructure that interconnects servers, storage systems, and networking devices within and between data centers to enable efficient, reliable data exchange and application delivery.
-
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.
hardware accelerator
chosen
A hardware accelerator is a specialized computing device or component designed to perform specific tasks or algorithms more efficiently and faster than a general-purpose processor.
-
E.
data center management solution
A data center management solution is a comprehensive software platform that monitors, controls, and optimizes the physical and virtual resources, infrastructure, and operations within a data center to ensure efficiency, reliability, and scalability.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
Created at: March 30, 2026, 6:46 p.m.