Triple

T26900573
Position Surface form Disambiguated ID Type / Status
Subject Korean Bell Pavilion E678016 entity
Predicate bellSymbolizes P129 FINISHED
Object friendship between South Korea and the United States 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: friendship between South Korea and the United States | Statement: [Korean Bell Pavilion, bellSymbolizes, friendship between South Korea and the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bellSymbolizes
Context triple: [Korean Bell Pavilion, bellSymbolizes, friendship between South Korea and the United States]
  • A. symbolizes chosen
    Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
  • B. emblemSymbolism
    Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
  • C. shapeSymbolism
    Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
  • D. ceremonialSymbol
    Indicates that one entity serves as a symbol used in a formal or ritual ceremony for another entity or concept.
  • E. badgeSymbolMeaning
    Indicates that a badge’s symbol represents or conveys a particular meaning or significance.
  • 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_69eee9befee48190a26f214faa867be7 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61faf46448190bd49b472f805d52b completed May 2, 2026, 4 p.m.
PD Predicate disambiguation batch_69f611af72ac819094598dd2530d7411 completed May 2, 2026, 3:01 p.m.
Created at: April 27, 2026, 5:50 a.m.