Triple

T21664004
Position Surface form Disambiguated ID Type / Status
Subject Flag of the United Arab Emirates E534662 entity
Predicate colourSymbolismWhite P78955 FINISHED
Object peace and honesty 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: peace and honesty | Statement: [Flag of the United Arab Emirates, colourSymbolismWhite, peace and honesty]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: colourSymbolismWhite
Context triple: [Flag of the United Arab Emirates, colourSymbolismWhite, peace and honesty]
  • A. symbolismOfWhite chosen
    Indicates the relationship in which the color white functions as a symbol conveying particular meanings, themes, or abstract concepts in a given context.
  • B. starColorSymbolism
    Indicates how the color of a star is associated with particular symbolic meanings or themes.
  • C. primaryColorSymbolism
    Indicates how a primary color is symbolically associated with particular meanings, emotions, or concepts in a given context.
  • D. shapeSymbolism
    Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
  • E. colorInIconography
    Indicates that a particular color is used to represent or symbolize an entity within a specific iconographic or symbolic tradition.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0a2a58819086db5b5c1c0f3371 completed April 27, 2026, 2 p.m.
PD Predicate disambiguation batch_69e696826c3c81909270791e79760937 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:36 p.m.