Triple

T28500159
Position Surface form Disambiguated ID Type / Status
Subject Three Courses of Tea ceremony E721209 entity
Predicate secondCourseSymbolism P107935 FINISHED
Object sweetness of success and love 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: sweetness of success and love | Statement: [Three Courses of Tea ceremony, secondCourseSymbolism, sweetness of success and love]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondCourseSymbolism
Context triple: [Three Courses of Tea ceremony, secondCourseSymbolism, sweetness of success and love]
  • A. languageOfSymbolism
    Indicates that one entity is the language in which the symbolic meaning or symbolism of another entity is expressed or encoded.
  • B. fieldSymbolism
    Indicates the symbolic meaning or thematic associations that a field (as a setting, area, or domain) conveys within a given context.
  • C. symbolismIn chosen
    Indicates that one entity functions as a symbol or representation within the context, meaning, or interpretive framework of another entity.
  • D. symbolismFocus
    Indicates that the primary emphasis of a work, element, or representation is on its symbolic meaning rather than its literal or functional aspects.
  • E. shapeSymbolism
    Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
  • 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_69f01a5afdac8190ac6e72d5c100bd58 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69fce28d6c3081908bf76f5db63ecf68 completed May 7, 2026, 7:05 p.m.
PD Predicate disambiguation batch_69fce12d2f08819082134b5eb3db6a24 completed May 7, 2026, 6:59 p.m.
Created at: April 28, 2026, 3:06 a.m.