Triple

T15953617
Position Surface form Disambiguated ID Type / Status
Subject Nextel Communications E386876 entity
Predicate competition P563 FINISHED
Object T-Mobile USA E52858 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: T-Mobile USA | Statement: [Nextel Communications, competition, T-Mobile USA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T-Mobile USA
Context triple: [Nextel Communications, competition, T-Mobile USA]
  • A. T-Mobile US chosen
    T-Mobile US is a major American wireless network operator known for its nationwide mobile phone services and aggressive “Un-carrier” marketing strategy.
  • B. Verizon
    Verizon is a major American telecommunications company providing wireless, internet, and related communication services across the United States and globally.
  • C. Rogers Wireless
    Rogers Wireless is one of Canada’s largest mobile network operators, providing nationwide wireless voice, data, and related telecommunications services.
  • D. U.S. Cellular
    U.S. Cellular is a regional American wireless telecommunications provider offering mobile phone and data services, primarily in the Midwest and rural areas of the United States.
  • E. AT&T
    AT&T is a major American telecommunications conglomerate known for providing wireless, internet, and media services nationwide.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156f810148190ab4989a0e4a5f8c0 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fffee76e9481908e74c32cb8263875 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 4:53 a.m.