Triple

T5479721
Position Surface form Disambiguated ID Type / Status
Subject NTT DoCoMo E123439 entity
Predicate owns P347 FINISHED
Object NTT DoCoMo USA E123439 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: NTT DoCoMo USA | Statement: [NTT DoCoMo, owns, NTT DoCoMo USA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NTT DoCoMo USA
Context triple: [NTT DoCoMo, owns, NTT DoCoMo USA]
  • A. NTT DoCoMo chosen
    NTT DoCoMo is Japan’s largest mobile network operator, known for pioneering advanced mobile technologies and services, including early 3G deployments.
  • B. KDDI
    KDDI is a major Japanese telecommunications company that provides mobile, broadband, and other communication services domestically and internationally.
  • C. NTT
    NTT is a 3.58-meter optical telescope operated by the European Southern Observatory at La Silla Observatory in Chile, notable for pioneering active optics technology.
  • D. Sprint Corporation
    Sprint Corporation was a major American telecommunications company that provided wireless and wireline services nationwide before merging with T-Mobile US.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9248ca348190aa116cace0f9b07a completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c7a61848190970a4e34696791eb completed March 22, 2026, 4:13 a.m.
Created at: March 20, 2026, 2:09 p.m.