Triple

T1077571
Position Surface form Disambiguated ID Type / Status
Subject RAN E23872 entity
Predicate standardizes P1371 FINISHED
Object LTE E23868 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: LTE | Statement: [RAN, standardizes, LTE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LTE
Context triple: [RAN, standardizes, LTE]
  • A. LTE chosen
    LTE (Long Term Evolution) is a high-speed wireless communication standard for mobile devices and data terminals, widely used as the foundation of 4G cellular networks.
  • B. E-UTRAN
    E-UTRAN is the LTE mobile network’s air-interface subsystem that connects user devices to the core network via evolved base stations (eNodeBs).
  • C. UMTS
    UMTS is a third-generation (3G) mobile telecommunications system that provides higher-speed voice and data services over cellular networks.
  • D. VoLTE
    VoLTE (Voice over LTE) is a technology that enables high-quality voice calls to be transmitted as data over 4G LTE networks instead of traditional circuit-switched voice channels.
  • E. Mobile Networks
    Mobile Networks is a Nokia business segment focused on providing mobile telecommunications infrastructure, technologies, and services for wireless network operators.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b94288d88190aae4fb86236c0702 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac599e543c8190bbb0558379d8d9d5 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:42 p.m.