Triple

T1743429
Position Surface form Disambiguated ID Type / Status
Subject SoftBank Hawks E38282 entity
Predicate owner P347 FINISHED
Object SoftBank Group E79659 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: SoftBank Group | Statement: [SoftBank Hawks, owner, SoftBank Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SoftBank Group
Context triple: [SoftBank Hawks, owner, SoftBank Group]
  • A. SoftBank Group chosen
    SoftBank Group is a Japanese multinational conglomerate holding company best known for its large-scale technology investments and telecommunications businesses.
  • B. NTT DoCoMo
    NTT DoCoMo is Japan’s largest mobile network operator, known for pioneering advanced mobile technologies and services, including early 3G deployments.
  • C. Tokyo Tsushin Kogyo
    Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
  • D. Alibaba Group
    Alibaba Group is a Chinese multinational conglomerate specializing in e-commerce, retail, internet, and technology, best known for operating major online marketplaces like Taobao and Tmall.
  • E. SoftBank Vision Fund
    SoftBank Vision Fund is a large technology-focused investment fund backed by Japan’s SoftBank Group that makes substantial, long-term bets on high-growth companies worldwide.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c836d48190bd44ea24977aba2d completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b0ab7008190a2fafe1c8ac55ac4 completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:31 p.m.