Triple

T28500158
Position Surface form Disambiguated ID Type / Status
Subject Three Courses of Tea ceremony E721209 entity
Predicate firstCourseSymbolism P107935 FINISHED
Object bitterness of early life 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: bitterness of early life | Statement: [Three Courses of Tea ceremony, firstCourseSymbolism, bitterness of early life]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstCourseSymbolism
Context triple: [Three Courses of Tea ceremony, firstCourseSymbolism, bitterness of early life]
  • A. languageOfSymbolism
    Indicates that one entity is the language in which the symbolic meaning or symbolism of another entity is expressed or encoded.
  • 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 chosen
    Indicates that one entity functions as a symbol or representation within the context, meaning, or interpretive framework of another entity.
  • D. laterSymbolism
    Indicates that one entity serves as a symbolic representation or motif that emerges or becomes significant at a later time relative to another entity.
  • E. fieldSymbolism
    Indicates the symbolic meaning or thematic associations that a field (as a setting, area, or domain) conveys 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_6a0027e4a59481909417b2531daaf480 completed May 10, 2026, 6:38 a.m.
PD Predicate disambiguation batch_6a0026a42bc08190ad3322ce625a523a completed May 10, 2026, 6:33 a.m.
Created at: April 28, 2026, 3:06 a.m.