Triple

T13636954
Position Surface form Disambiguated ID Type / Status
Subject Random Early Detection E325872 entity
Predicate canBeCombinedWith P4791 FINISHED
Object Explicit Congestion Notification E325862 NE FINISHED

How this triple was built (2 steps)

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.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Explicit Congestion Notification | Statement: [Random Early Detection, canBeCombinedWith, Explicit Congestion Notification]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Explicit Congestion Notification
Context triple: [Random Early Detection, canBeCombinedWith, Explicit Congestion Notification]
  • A. Explicit Congestion Experienced
    Explicit Congestion Experienced (ECE) is a TCP/IP header flag used in Explicit Congestion Notification (ECN) to indicate that network congestion has been detected without dropping packets.
  • B. The Addition of Explicit Congestion Notification (ECN) to IP chosen
    The Addition of Explicit Congestion Notification (ECN) to IP is an IETF standard (RFC 3168) that specifies how IP and TCP can signal and respond to network congestion without relying solely on packet loss.
  • C. CoDel
    CoDel (Controlled Delay) is an active queue management algorithm designed to control network bufferbloat by keeping packet queuing delays low without requiring manual tuning.
  • D. Random Early Detection
    Random Early Detection is a congestion avoidance mechanism for packet-switched networks that probabilistically drops packets before a queue becomes full to signal and control incipient congestion.
  • E. Active Queue Management
    Active Queue Management is a set of techniques used in network routers and switches to proactively manage packet queues and reduce congestion by intelligently dropping or marking packets before buffers overflow.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a616dc81908b8c1213e1d4beed completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6442d5c8190820d473073a3c4c6 completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 9:51 p.m.