Triple

T1937538
Position Surface form Disambiguated ID Type / Status
Subject GTE E41475 entity
Predicate competedWith P1375 FINISHED
Object AT&T E89783 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: AT&T | Statement: [GTE, competedWith, AT&T]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AT&T
Context triple: [GTE, competedWith, AT&T]
  • A. AT&T chosen
    AT&T is a major American telecommunications conglomerate known for providing wireless, internet, and media services nationwide.
  • B. Verizon
    Verizon is a major American telecommunications company providing wireless, internet, and related communication services across the United States and globally.
  • C. Ameritech
    Ameritech was a regional telecommunications company formed after the breakup of AT&T’s Bell System, serving the Midwestern United States with local and long-distance phone services.
  • D. T-Mobile US
    T-Mobile US is a major American wireless network operator known for its nationwide mobile phone services and aggressive “Un-carrier” marketing strategy.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2c752fc81909baf38ff1cdeb18c completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6522bb448190ae50a476da53fcda completed March 9, 2026, 6:13 a.m.
Created at: March 4, 2026, 7:36 p.m.