Triple

T7414324
Position Surface form Disambiguated ID Type / Status
Subject IEEE 802.1Qcx E171091 entity
Predicate appliesTo P1129 FINISHED
Object Ethernet networks E112739 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: Ethernet networks | Statement: [IEEE 802.1Qcx, appliesTo, Ethernet networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethernet networks
Context triple: [IEEE 802.1Qcx, appliesTo, Ethernet networks]
  • A. Ethernet chosen
    Ethernet is a widely used wired networking technology that connects devices in local area networks (LANs) for high-speed, reliable data communication.
  • B. Ethernet switches
    Ethernet switches are network devices that forward data frames between devices within a local area network by using MAC addresses to intelligently direct traffic and reduce collisions.
  • C. Power over Ethernet
    Power over Ethernet is a networking technology that delivers electrical power and data over the same Ethernet cable to devices such as IP phones, wireless access points, and security cameras.
  • D. Fast Ethernet
    Fast Ethernet is a family of Ethernet networking standards that provide data transfer rates of 100 megabits per second over copper or fiber-optic cabling.
  • E. LAN
    LAN is the station code used to identify the Langworthy tram stop on Greater Manchester’s Metrolink light rail network.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c509ac8190876f207267a33a3b completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ee1b48c81909912ff0d7bf2837e completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:11 p.m.