Triple

T20937626
Position Surface form Disambiguated ID Type / Status
Subject Sekiryo Kaneda E515627 entity
Predicate businessAreaExpanded P141761 FINISHED
Object beyond traditional hanafuda playing cards 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: beyond traditional hanafuda playing cards | Statement: [Sekiryo Kaneda, businessAreaExpanded, beyond traditional hanafuda playing cards]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: businessAreaExpanded
Context triple: [Sekiryo Kaneda, businessAreaExpanded, beyond traditional hanafuda playing cards]
  • A. primaryBusinessArea
    Indicates the main field, sector, or domain in which an entity primarily conducts its business activities.
  • B. isPartOfBusinessArea
    Indicates that one entity belongs to, is included within, or falls under the scope of a particular business area.
  • C. businessBase
    Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
  • D. businessFunction
    Indicates the specific role, activity, or operational function that an entity performs within a business context.
  • E. notableRegionOfBusiness
    Indicates that a specified geographic region is a significant or primary area in which an entity conducts its business activities.
  • F. None of above. chosen

Provenance (4 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f9534cd48190a86665fb1df6b077 completed April 21, 2026, 4:13 a.m.
PD Predicate disambiguation batch_69e5c9af1fe08190953366a466950140 completed April 20, 2026, 6:37 a.m.
PDg Predicate description generation batch_69e5d53d22d08190bc17ed4bed53804a completed April 20, 2026, 7:26 a.m.
Created at: April 16, 2026, 12:49 p.m.