Triple
T29677026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G-SYNC |
E750844
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | adaptive sync technology |
C25141
|
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: adaptive sync technology Context triple: [G-SYNC, instanceOf, adaptive sync technology]
-
A.
adaptive suspension system
An adaptive suspension system is a vehicle suspension technology that continuously adjusts damping and stiffness in real time based on driving conditions, road surface, and driver inputs to optimize comfort, handling, and stability.
-
B.
latency reduction technology
chosen
Latency reduction technology encompasses methods and systems designed to minimize the delay between data transmission, processing, and response in digital networks and computing environments.
-
C.
dynamic frequency scaling technology
Dynamic frequency scaling technology automatically adjusts a processor’s operating frequency (and often voltage) in real time based on workload and thermal conditions to optimize power consumption and performance.
-
D.
motion-processing technology
Motion-processing technology refers to systems and algorithms that detect, analyze, and interpret movement from sensors or visual input to enable responsive digital or mechanical actions.
-
E.
time synchronization protocol
A time synchronization protocol is a set of rules and mechanisms that enable multiple systems or devices in a network to coordinate and maintain a consistent, accurate notion of time.
- 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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
Created at: April 28, 2026, 7:07 p.m.