Triple

T1106080
Position Surface form Disambiguated ID Type / Status
Subject Dharma Chakra E25489 entity
Predicate spokesSymbolize P129 FINISHED
Object various virtues 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: various virtues | Statement: [Dharma Chakra, spokesSymbolize, various virtues]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spokesSymbolize
Context triple: [Dharma Chakra, spokesSymbolize, various virtues]
  • A. mapSymbol
    Indicates a correspondence where one symbol is used to represent, stand for, or denote another element within a mapping or representation system.
  • B. routeSymbolShape
    Indicates the specific geometric form or outline used to depict a route’s symbol in a visual or cartographic representation.
  • C. coordinateSymbols
    Indicates a relationship where one symbol is aligned or matched with another symbol in a coordinated or corresponding way.
  • D. symbolizes chosen
    Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
  • E. symbolicStyle
    Indicates that one entity employs or is characterized by a particular symbolic or emblematic style defined by the other entity.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e339f88190afc027216e95d2f7 completed March 1, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69a4b74877748190b78cd8847ee4fa7a completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:43 p.m.