Triple

T32435771
Position Surface form Disambiguated ID Type / Status
Subject Aki basho E828859 entity
Predicate hasSpecialPrizes P104834 FINISHED
Object sanshō awards 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: sanshō awards | Statement: [Aki basho, hasSpecialPrizes, sanshō awards]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpecialPrizes
Context triple: [Aki basho, hasSpecialPrizes, sanshō awards]
  • A. hasAdditionalPrizes chosen
    Indicates that an entity offers or is associated with extra prizes beyond the primary or standard ones.
  • B. hasSpecials
    Indicates that an entity offers or is associated with special deals, promotions, or limited-time offers.
  • C. hasSpecialGames
    Indicates that an entity is associated with particular games that are distinguished from its regular or standard games in some special way.
  • D. hasGrandPrize
    Indicates that an entity possesses, is awarded, or is associated with a grand prize in a given context.
  • E. hasSpecialAwardType
    Indicates that an entity is associated with a specific kind or category of special award.
  • 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_69f3491bf298819097b610f772d54a6d completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd64bc86848190a49f451a8fc5cf1e completed May 8, 2026, 4:21 a.m.
PD Predicate disambiguation batch_69fd5ff4a648819090756d90fd195d9a completed May 8, 2026, 4 a.m.
Created at: May 1, 2026, 12:55 a.m.