Triple

T30583989
Position Surface form Disambiguated ID Type / Status
Subject Festival of Lights (Myanmar) E778454 entity
Predicate lightingSymbolism P137028 FINISHED
Object honor to the Buddha 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: honor to the Buddha | Statement: [Festival of Lights (Myanmar), lightingSymbolism, honor to the Buddha]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lightingSymbolism
Context triple: [Festival of Lights (Myanmar), lightingSymbolism, honor to the Buddha]
  • A. symbolismOfLamps
    Indicates the symbolic meaning or representational significance that lamps have within a given context or interpretation.
  • B. languageOfSymbolism
    Indicates that one entity is the language in which the symbolic meaning or symbolism of another entity is expressed or encoded.
  • C. explainsSymbolismOf
    Indicates that one entity provides an interpretation or clarification of the symbolic meaning contained in another entity.
  • D. symbolismIn
    Indicates that one entity functions as a symbol or representation within the context, meaning, or interpretive framework of another entity.
  • E. lightingOfLampsSignifies chosen
    Indicates that the act of lighting lamps serves as a sign, symbol, or marker of a particular event, state, 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_69f224a04b248190b0ca443ec86207b8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6afebd7ec8190ab696f363d84abf0 completed May 3, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69f6aca3dedc81908b519d53d2909868 completed May 3, 2026, 2:02 a.m.
Created at: April 29, 2026, 8:23 p.m.