Triple

T18172629
Position Surface form Disambiguated ID Type / Status
Subject Nagasaki Peace Statue E435069 entity
Predicate eyesSymbolism P34702 FINISHED
Object prayer for the souls of the victims 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: prayer for the souls of the victims | Statement: [Nagasaki Peace Statue, eyesSymbolism, prayer for the souls of the victims]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eyesSymbolism
Context triple: [Nagasaki Peace Statue, eyesSymbolism, prayer for the souls of the victims]
  • A. shapeSymbolism
    Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
  • B. symbolismFocus
    Indicates that the primary emphasis of a work, element, or representation is on its symbolic meaning rather than its literal or functional aspects.
  • C. symbolismIn
    Indicates that one entity functions as a symbol or representation within the context, meaning, or interpretive framework of another entity.
  • D. emblemSymbolism chosen
    Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
  • E. starColorSymbolism
    Indicates how the color of a star is associated with particular symbolic meanings or themes.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df56d0a88190af3f407d2a3bb74f completed April 19, 2026, 1:57 p.m.
PD Predicate disambiguation batch_69e4331baeb88190b21f50a98c36c78e completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:30 a.m.