Triple
T9548023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paula |
E230344
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | I/O coprocessor |
C22266
|
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: I/O coprocessor Context triple: [Paula, instanceOf, I/O coprocessor]
-
A.
coprocessor feature
A coprocessor feature is a specialized hardware or software capability that offloads specific computational tasks from the main processor to improve performance, efficiency, or functionality.
-
B.
coprocessor family
A coprocessor family is a group of related auxiliary processors designed to offload and accelerate specific computational tasks from a main CPU, sharing a common architecture or feature set.
-
C.
hardware-assisted I/O virtualization technology
chosen
Hardware-assisted I/O virtualization technology is a set of processor and chipset features that enable efficient, secure sharing and direct assignment of physical I/O devices to multiple virtual machines by offloading key virtualization tasks from software to hardware.
-
D.
managed data ingestion service
A managed data ingestion service is a fully hosted platform that reliably collects, transforms, and routes data from diverse sources into target systems at scale, handling infrastructure, scaling, and monitoring automatically.
-
E.
data processing capability
Data processing capability is the capacity of a system to efficiently collect, transform, analyze, and output data to support specific tasks or decision-making processes.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
Created at: March 30, 2026, 8:02 p.m.