Triple

T15477387
Position Surface form Disambiguated ID Type / Status
Subject Kewevkapaya dialect E376817 entity
Predicate regionalVarietyOf P11942 FINISHED
Object a Native American language 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: a Native American language | Statement: [Kewevkapaya dialect, regionalVarietyOf, a Native American language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionalVarietyOf
Context triple: [Kewevkapaya dialect, regionalVarietyOf, a Native American language]
  • A. regionalVariantOf chosen
    Indicates that one entity is a version or form of another that is specific to a particular geographic region or locale.
  • B. regionalDialect
    Indicates that one entity uses or is associated with a dialect specific to a particular geographic region in relation to another entity.
  • C. hasRegionalVariationsIn
    Indicates that something exhibits different forms, versions, or characteristics depending on the geographic region.
  • D. partOfLinguisticVariety
    Indicates that one linguistic variety (such as a dialect, register, or style) is a constituent or subset of another, broader linguistic variety.
  • E. hasColloquialVariety
    Indicates that one linguistic form, expression, or variety is an informal, colloquial counterpart or version of another.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f88a5dc8190a2d7830748e29180 completed April 16, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69ded2874b788190999158e0f043be21 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:34 a.m.