Triple

T9008172
Position Surface form Disambiguated ID Type / Status
Subject Rakuten Mobile Park Miyagi E215396 entity
Predicate sponsor P67 FINISHED
Object Rakuten Mobile E771087 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: Rakuten Mobile | Statement: [Rakuten Mobile Park Miyagi, sponsor, Rakuten Mobile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rakuten Mobile
Context triple: [Rakuten Mobile Park Miyagi, sponsor, Rakuten Mobile]
  • A. Rakuten Mobile chosen
    Rakuten Mobile is a Japanese mobile network operator and telecommunications brand owned by the e-commerce company Rakuten, known for its low-cost, fully virtualized mobile network services.
  • B. 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.
  • C. NTT DoCoMo
    NTT DoCoMo is Japan’s largest mobile network operator, known for pioneering advanced mobile technologies and services, including early 3G deployments.
  • 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. KDDI
    KDDI is a major Japanese telecommunications company that provides mobile, broadband, and other communication services domestically and internationally.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69bed8588190afc9cbca12b75a3b completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb9a11948190a43f60d0df71b1af completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:06 p.m.