Triple

T23172500
Position Surface form Disambiguated ID Type / Status
Subject Daikoku E578894 entity
Predicate associatedFestivalOrCustom P151208 FINISHED
Object New Year good fortune customs in Japan 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: New Year good fortune customs in Japan | Statement: [Daikoku, associatedFestivalOrCustom, New Year good fortune customs in Japan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedFestivalOrCustom
Context triple: [Daikoku, associatedFestivalOrCustom, New Year good fortune customs in Japan]
  • A. relatedFestivalType
    Indicates that one festival is associated with another through a shared or corresponding festival type or category.
  • B. linkedFestival
    Indicates that two entities are associated through a common festival, event, or celebration.
  • C. associatedWithTribeFestival
    Indicates a relationship where an entity is connected or linked to a specific tribe’s festival, such as by participation, organization, or relevance.
  • D. festivalActivity
    Indicates that an entity is an event, performance, or engagement that takes place as part of a festival’s organized program.
  • E. otherFestival
    Indicates that one festival is distinct from and not the same as another referenced festival.
  • 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f30ce148190a6de928c8213399e completed April 29, 2026, 4:55 a.m.
PD Predicate disambiguation batch_69ef89ff76808190808ee4ad9dea776b completed April 27, 2026, 4:08 p.m.
PDg Predicate description generation batch_69ef9b75e2708190ba48875e36f983bc completed April 27, 2026, 5:23 p.m.
Created at: April 17, 2026, 4:04 p.m.