Triple
T2363240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Energy Research Scientific Computing Center |
E47321
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | high-performance computing facility |
C63
|
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: high-performance computing facility Context triple: [National Energy Research Scientific Computing Center, instanceOf, high-performance computing facility]
-
A.
GPU computing framework
A GPU computing framework is a software platform that enables developers to write, manage, and optimize parallel programs that execute on graphics processing units for high-performance computation.
-
B.
computing device
A computing device is an electronic system that processes input data using programmable instructions to produce, store, or transmit information.
-
C.
research facility
chosen
A research facility is a specialized institution equipped with laboratories, instruments, and resources where scientists and experts systematically investigate, experiment, and develop new knowledge or technologies.
-
D.
hardware accelerator
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.
network operations facility
A network operations facility is a centralized, secure environment where personnel and systems monitor, manage, and maintain an organization’s communication networks and related infrastructure to ensure reliable, efficient, and secure operations.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
Created at: March 4, 2026, 7:55 p.m.