Triple

T27835748
Position Surface form Disambiguated ID Type / Status
Subject マルイ E703220 entity
Predicate 販売チャネル P35642 FINISHED
Object オンラインストア LITERAL 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: オンラインストア | Statement: [マルイ, 販売チャネル, オンラインストア]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 販売チャネル
Context triple: [マルイ, 販売チャネル, オンラインストア]
  • A. salesChannels chosen
    Indicates the channels or methods through which a product or service is marketed, sold, or distributed to customers.
  • B. secondaryDistributionChannel
    Indicates that an entity is used as an additional, non-primary channel through which a product, service, or content is distributed.
  • C. workDistributionChannel
    Indicates how work, tasks, or services are delivered or routed through specific channels from providers to recipients.
  • D. tradeMedium
    Indicates that one entity serves as the medium or instrument through which another entity conducts trade or exchange transactions.
  • E. marketsThrough
    Indicates that one entity promotes, sells, or distributes its products or services by using another entity as a marketing or sales channel.
  • F. None of above.

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_69ef840b94b08190950a4f77296938b2 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f63b317e048190963989b732b25b91 completed May 2, 2026, 5:58 p.m.
PD Predicate disambiguation batch_69f6370ea79c81909b761821ee0fa698 completed May 2, 2026, 5:40 p.m.
Created at: April 27, 2026, 5:59 p.m.