Triple
T8823780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA Reflex |
E209964
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | latency reduction 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: latency reduction technology Context triple: [NVIDIA Reflex, instanceOf, latency reduction technology]
-
A.
Layer 2 multipath technology
Layer 2 multipath technology is a network mechanism that enables the use of multiple parallel Layer 2 paths simultaneously for load balancing and redundancy while preventing loops and maintaining a single logical topology.
-
B.
multi-carrier modulation technique
A multi-carrier modulation technique is a method of transmitting data by dividing it across multiple closely spaced subcarriers, each modulated with a portion of the data stream to improve spectral efficiency and robustness against channel impairments.
-
C.
data connectivity technology
Data connectivity technology encompasses the tools, protocols, and infrastructure that enable seamless, secure, and reliable exchange of data between systems, applications, and devices across diverse networks and environments.
-
D.
media access control technique
A media access control technique is a method or protocol that governs how multiple devices share and coordinate access to a common communication medium to avoid collisions and ensure efficient data transmission.
-
E.
fast charging technology
Fast charging technology is a set of hardware and software methods that significantly reduce the time required to recharge batteries by safely delivering higher power levels than standard charging.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
Created at: March 30, 2026, 6:46 p.m.