Triple

T31943419
Position Surface form Disambiguated ID Type / Status
Subject Three Shrine Festival E815584 entity
Predicate mainMikoshiBelongTo P89637 FINISHED
Object Asakusa Shrine NE NERFINISHED

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: Asakusa Shrine | Statement: [Three Shrine Festival, mainMikoshiBelongTo, Asakusa Shrine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainMikoshiBelongTo
Context triple: [Three Shrine Festival, mainMikoshiBelongTo, Asakusa Shrine]
  • A. hasMikoshi chosen
    Indicates that an entity possesses, contains, or is associated with a mikoshi (a portable Shinto shrine).
  • B. namesakeShip
    Indicates that one entity is a ship that is named after, or serves as the namesake of, another entity.
  • C. mainShip
    Indicates that one entity serves as the primary or principal ship associated with another entity.
  • D. 所属艦
    Indicates a relationship where something belongs to, is assigned to, or is part of a particular ship.
  • E. hasMidoriNoMadoguchi
    Indicates that an entity (typically a train station) is equipped with a "Midori no Madoguchi" staffed ticket office or service counter.
  • 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_69f348f42d188190a33fc8d20ec50517 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b2758cec8190b0521eb7f2eccb42 completed May 3, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f6b14faf608190a25b977c0740729c completed May 3, 2026, 2:22 a.m.
Created at: May 1, 2026, 12:06 a.m.