Triple

T15882428
Position Surface form Disambiguated ID Type / Status
Subject Sprint Corporation E385104 entity
Predicate brand P1500 FINISHED
Object Sprint E102679 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: Sprint | Statement: [Sprint Corporation, brand, Sprint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sprint
Context triple: [Sprint Corporation, brand, Sprint]
  • A. Sprint Corporation chosen
    Sprint Corporation was a major American telecommunications company that provided wireless and wireline services nationwide before merging with T-Mobile US.
  • B. Verizon
    Verizon is a major American telecommunications company providing wireless, internet, and related communication services across the United States and globally.
  • C. 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.
  • D. Rogers Wireless
    Rogers Wireless is one of Canada’s largest mobile network operators, providing nationwide wireless voice, data, and related telecommunications services.
  • E. 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.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156173e248190901641d838ecb40f completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa95466e08190a967114821651e60 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.