Triple
T27832760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redundant Array of Inexpensive Disks |
E703147
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | redundancy technology |
C53414
|
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: redundancy technology Context triple: [Redundant Array of Inexpensive Disks, instanceOf, redundancy technology]
-
A.
latency reduction technology
Latency reduction technology encompasses methods and systems designed to minimize the delay between data transmission, processing, and response in digital networks and computing environments.
-
B.
network technology
Network technology encompasses the hardware, software, and protocols that enable devices and systems to connect, communicate, and exchange data over local and wide-area networks, including the internet.
-
C.
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.
-
D.
200 Gigabit Ethernet technology
200 Gigabit Ethernet technology is a high-speed networking standard that delivers 200 gigabits per second of data throughput, enabling faster data center, enterprise, and carrier network performance.
-
E.
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.
- 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_69ef840b94b08190950a4f77296938b2 |
completed | April 27, 2026, 3:43 p.m. |
Created at: April 27, 2026, 5:57 p.m.