Triple
T28900545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun 3/470 |
E732939
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | server computer |
C55380
|
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: server computer Context triple: [Sun 3/470, instanceOf, server computer]
-
A.
desktop workstation computer
A desktop workstation computer is a high-performance, non-portable computing system designed for demanding professional tasks such as 3D modeling, scientific computing, and content creation, typically featuring powerful processors, ample memory, and advanced graphics capabilities.
-
B.
server processor
A server processor is a high-performance central processing unit designed to handle concurrent, large-scale computational workloads and manage multiple client requests in server environments.
-
C.
mainframe computer
A mainframe computer is a large, powerful, and highly reliable central computer system designed to process vast amounts of data and support numerous simultaneous users and critical applications, typically used by large organizations.
-
D.
server hosting service
A server hosting service provides and manages remote computing resources, including hardware, networking, storage, and uptime, so clients can deploy and run applications, websites, or services without maintaining physical infrastructure.
-
E.
computer laboratory
A computer laboratory is a dedicated room or facility equipped with multiple computers and related technologies, providing users with a controlled environment for computing tasks, instruction, and research.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
Created at: April 28, 2026, 8:02 a.m.