Triple

T9029359
Position Surface form Disambiguated ID Type / Status
Subject WCOM E216129 entity
Predicate successor P78 FINISHED
Object Verizon Communications E6433 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: Verizon Communications | Statement: [WCOM, successor, Verizon Communications]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verizon Communications
Context triple: [WCOM, successor, Verizon Communications]
  • A. Verizon chosen
    Verizon is a major American telecommunications company providing wireless, internet, and related communication services across the United States and globally.
  • B. AT&T
    AT&T is a major American telecommunications conglomerate known for providing wireless, internet, and media services nationwide.
  • C. Sprint Corporation
    Sprint Corporation was a major American telecommunications company that provided wireless and wireline services nationwide before merging with T-Mobile US.
  • D. Nextel Communications
    Nextel Communications was a major U.S. wireless telecommunications company best known for its push-to-talk mobile services before its merger with Sprint.
  • E. 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.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a9bcb508190b58751f1772407d4 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c6d4a5d08190832f41dd9dc82f41 completed April 4, 2026, 8:07 a.m.
Created at: March 30, 2026, 7:08 p.m.