Triple
T25436554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PCLMULQDQ (not supported) |
E637387
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | hardware feature status |
C22269
|
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: hardware feature status Context triple: [PCLMULQDQ (not supported), instanceOf, hardware feature status]
-
A.
smartphone hardware feature
A smartphone hardware feature is a physical component or built-in device capability—such as a camera, fingerprint sensor, or NFC chip—that enables specific functions and interactions on a smartphone.
-
B.
hardware device
A hardware device is a tangible physical component or piece of equipment that performs specific computational, electronic, or mechanical functions within a larger system.
-
C.
HDMI feature
An HDMI feature is a specific capability or enhancement supported by an HDMI interface—such as audio return, Ethernet over HDMI, or high dynamic range—that defines how audio, video, and data are transmitted and experienced between connected devices.
-
D.
type system feature
A type system feature is a language construct or mechanism that defines, constrains, or manipulates the types of values and expressions to improve safety, expressiveness, or performance in programs.
-
E.
microprocessor feature
chosen
A microprocessor feature is a specific capability or characteristic of a microprocessor—such as instruction sets, cache size, power management, or parallelism—that defines its performance, functionality, and suitability for particular 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 21, 2026, 1:59 p.m.