Triple

T10028756
Position Surface form Disambiguated ID Type / Status
Subject Vissel Kobe E204797 entity
Predicate mainSponsor P737 FINISHED
Object Rakuten E635346 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 | Statement: [Vissel Kobe, mainSponsor, Rakuten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rakuten
Context triple: [Vissel Kobe, mainSponsor, Rakuten]
  • A. Rakuten Group chosen
    Rakuten Group is a Japanese multinational technology and e-commerce conglomerate best known for its online marketplace, fintech services, and global digital ecosystem.
  • B. Yahoo! Japan Corporation
    Yahoo! Japan Corporation is a major Japanese internet company operating the Yahoo! Japan portal and a wide range of online services including search, e-commerce, and digital advertising.
  • C. SoftBank Group
    SoftBank Group is a Japanese multinational conglomerate holding company best known for its large-scale technology investments and telecommunications businesses.
  • D. NTT DoCoMo
    NTT DoCoMo is Japan’s largest mobile network operator, known for pioneering advanced mobile technologies and services, including early 3G deployments.
  • E. Rakuten Mobile
    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.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcde51c408190afb34010b1707014 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a17359081908c3ef7df819c74f9 completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:54 p.m.