Triple

T9466999
Position Surface form Disambiguated ID Type / Status
Subject People of the Flint E228295 entity
Predicate hasSymbolicMeaningOf P129 FINISHED
Object strength 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: strength | Statement: [People of the Flint, hasSymbolicMeaningOf, strength]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSymbolicMeaningOf
Context triple: [People of the Flint, hasSymbolicMeaningOf, strength]
  • A. hasParticularSignificanceFor
    Indicates that something holds a special, notable, or contextually important relevance or impact for a particular entity or situation.
  • B. shapeSymbolism
    Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
  • C. symbolizes chosen
    Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
  • D. emblemSymbolism
    Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
  • E. hasIronicMeaning
    Indicates that something conveys a meaning opposite to or incongruent with its literal expression, creating an ironic effect.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdd7d048190930a15cb2a2d99ea completed April 1, 2026, 8:28 p.m.
PD Predicate disambiguation batch_69cca55f01b081908dc0f12eaa45f832 completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:53 p.m.