Triple

T25082048
Position Surface form Disambiguated ID Type / Status
Subject Flag of the Kingdom of Sarawak E628210 entity
Predicate symbolicColorMeaning P46606 FINISHED
Object black associated with authority 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: black associated with authority | Statement: [Flag of the Kingdom of Sarawak, symbolicColorMeaning, black associated with authority]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: symbolicColorMeaning
Context triple: [Flag of the Kingdom of Sarawak, symbolicColorMeaning, black associated with authority]
  • A. starColorSymbolism
    Indicates how the color of a star is associated with particular symbolic meanings or themes.
  • B. languageOfSymbolism
    Indicates that one entity is the language in which the symbolic meaning or symbolism of another entity is expressed or encoded.
  • C. colorInIconography
    Indicates that a particular color is used to represent or symbolize an entity within a specific iconographic or symbolic tradition.
  • D. colorHasMeaning chosen
    Indicates that a particular color is associated with or conveys a specific meaning, symbolism, or significance.
  • 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_69e2ff2e73f881909992bf3eda5c25cb completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f46d3f35848190b56a4373c97a7d64 completed May 1, 2026, 9:07 a.m.
PD Predicate disambiguation batch_69f4683472ec8190a483b3b8afe71720 completed May 1, 2026, 8:45 a.m.
Created at: April 18, 2026, 6:22 a.m.