Triple

T768556
Position Surface form Disambiguated ID Type / Status
Subject Silver E16227 entity
Predicate culturalUse P7826 FINISHED
Object currency throughout history 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: currency throughout history | Statement: [Silver, culturalUse, currency throughout history]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: culturalUse
Context triple: [Silver, culturalUse, currency throughout history]
  • A. usedInCulture chosen
    Indicates that something (such as an object, practice, or concept) is employed, referenced, or plays a role within a particular culture or cultural context.
  • B. hasCulturalExpression
    Indicates that an entity embodies, manifests, or is associated with a particular cultural form, practice, or expression.
  • C. hasCulturalConcept
    Indicates that an entity embodies, includes, or is associated with a particular cultural idea, value, practice, or construct.
  • D. hasCulturalSignificanceFor
    Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
  • E. hasCulturalSignificance
    Indicates that something holds notable meaning, value, or importance within a particular culture or cultural 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a765ba688190ab328bb159583077 completed March 1, 2026, 8:53 p.m.
PD Predicate disambiguation batch_69a4a5074c788190a74fc20ad24e2d26 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.