Triple

T1866728
Position Surface form Disambiguated ID Type / Status
Subject Reverse ARP E34937 entity
Predicate designedFor P98 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: [Reverse ARP, designedFor, Ethernet networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethernet networks
Context triple: [Reverse ARP, designedFor, 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. 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.
  • C. 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.
  • D. LAN
    LAN is the ICAO airline designator used for flights operated by LATAM Airlines Group, a major Latin American airline conglomerate.
  • E. ENIC Network
    The ENIC Network is a European network of national information centres that supports the recognition of foreign qualifications and promotes fair academic mobility across countries.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb0b5978c81909390f2cbd716ccaf completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf5163d88190a41df4c8f4e196f0 completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:34 p.m.