Triple

T1128683
Position Surface form Disambiguated ID Type / Status
Subject Bellevue, Washington E24777 entity
Predicate hasMajorEmployer P588 FINISHED
Object T-Mobile US 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 US | Statement: [Bellevue, Washington, hasMajorEmployer, T-Mobile US]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T-Mobile US
Context triple: [Bellevue, Washington, hasMajorEmployer, T-Mobile US]
  • 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. AT&T
    AT&T is a major American telecommunications conglomerate known for providing wireless, internet, and media services nationwide.
  • D. Virgin Mobile
    Virgin Mobile is a wireless communications brand offering mobile phone services in multiple countries as part of Richard Branson’s broader Virgin Group.
  • E. Sprint Corporation
    Sprint Corporation was a major American telecommunications company that provided wireless and wireline services nationwide before merging with T-Mobile US.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbdea9b88190a88da718bf5c1897 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac763d917881908b3981a95d901717 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:44 p.m.