Triple
T35576915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QCN |
E1028102
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | congestion notification mechanism |
C33289
|
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: congestion notification mechanism Context triple: [QCN, instanceOf, congestion notification mechanism]
-
A.
Explicit Congestion Notification mechanism
chosen
An Explicit Congestion Notification mechanism is a network feature that allows routers to signal impending congestion to endpoints by marking packets instead of dropping them, enabling proactive congestion control and improved performance.
-
B.
active queue management algorithm
An active queue management algorithm is a network mechanism that proactively controls packet queues by selectively dropping or marking packets before buffers overflow to reduce congestion, latency, and packet loss.
-
C.
IPv6 transition mechanism
An IPv6 transition mechanism is a method, protocol, or set of techniques that enables interoperability and gradual migration between IPv4 and IPv6 networks and devices.
-
D.
IP encapsulation mechanism
An IP encapsulation mechanism is a method by which one IP packet is wrapped inside another protocol header (often another IP header) to enable tunneling, virtualization, or transport across differing network infrastructures.
-
E.
QUIC protocol invariant
A QUIC protocol invariant is a fundamental property or rule of the QUIC transport protocol that must hold true across all compliant implementations and versions to ensure consistent, secure, and interoperable behavior.
- 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.