Triple
T26399406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | sFlow |
E663658
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | network traffic sampling technology |
C2279
|
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: network traffic sampling technology Context triple: [sFlow, instanceOf, network traffic sampling technology]
-
A.
network technology
chosen
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.
-
B.
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.
-
C.
usage statistics harvesting protocol
A usage statistics harvesting protocol is a standardized method for automatically collecting, aggregating, and transmitting data about how systems, services, or resources are accessed and used.
-
D.
Internet access toolkit
A comprehensive set of hardware, software, and configuration utilities that enables users or systems to establish, manage, and troubleshoot connections to the internet.
-
E.
connectivity measurement framework
A connectivity measurement framework is a structured system of methods, metrics, and tools used to quantify, analyze, and compare the quality, reliability, and performance of connections within a network or between distributed components.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 26, 2026, 11:30 p.m.