Triple
T30422416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Xserve G4 |
E773934
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | rack-mounted 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: rack-mounted server computer Context triple: [Apple Xserve G4, instanceOf, rack-mounted server computer]
-
A.
rack-mount server family
A rack-mount server family is a series of standardized, horizontally oriented servers designed to be installed in equipment racks, providing scalable, high-density computing resources for data centers and enterprise environments.
-
B.
server computer
chosen
A server computer is a powerful, always-on machine that provides services, resources, or data to other computers (clients) over a network.
-
C.
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.
-
D.
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.
-
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.
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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:06 p.m.