Triple
T35969613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMD Instinct MI300 series |
E1040243
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data center accelerator series |
C36935
|
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 series Context triple: [AMD Instinct MI300 series, instanceOf, data center accelerator series]
-
A.
accelerator infrastructure
Accelerator infrastructure encompasses the physical facilities, technical systems, and support services required to design, build, operate, and maintain particle accelerators and their associated experimental environments.
-
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
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.
-
D.
data center GPU
chosen
A data center GPU is a high-performance graphics processing unit designed for server environments to accelerate large-scale parallel workloads such as AI, HPC, and data analytics with optimized power, cooling, and reliability features.
-
E.
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.
- 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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.