Triple

T32603531
Position Surface form Disambiguated ID Type / Status
Subject Itunyoso E833442 entity
Predicate hasDistinctLanguageTraditions P197603 FINISHED
Object true 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: true | Statement: [Itunyoso, hasDistinctLanguageTraditions, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDistinctLanguageTraditions
Context triple: [Itunyoso, hasDistinctLanguageTraditions, true]
  • A. hasSecondaryLanguageTradition
    Indicates that an entity possesses an additional, non-primary language tradition associated with it, such as in its use, documentation, or cultural context.
  • B. hasLinguisticLegacy
    Indicates that one entity has left a lasting influence or enduring impact on the language, linguistic practices, or linguistic development associated with another entity.
  • C. hasMulticulturalTradition
    Indicates that an entity possesses customs, practices, or heritage derived from or influenced by multiple cultural backgrounds.
  • D. hasTraditionalDialect
    Indicates that an entity possesses or is associated with a traditional form or variety of a language or dialect.
  • E. hasLinguisticHeritage
    Indicates that one entity possesses or is associated with the linguistic background, tradition, or ancestry of another entity.
  • F. None of above. chosen

Provenance (4 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_69f3492ab63c8190aec24d5003b47c29 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fe9dfaa2d08190b2084f63f842eb6b completed May 9, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69fe9bba947c81908b0b2b92a4d19b37 completed May 9, 2026, 2:28 a.m.
PDg Predicate description generation batch_69fe9df9561c8190a068f91c9fc78e56 completed May 9, 2026, 2:37 a.m.
Created at: May 1, 2026, 1:05 a.m.