Triple

T28213347
Position Surface form Disambiguated ID Type / Status
Subject A Dictionary of Modern American Usage E711237 entity
Predicate variantOfEnglish P34737 FINISHED
Object American English NE NERFINISHED

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: American English | Statement: [A Dictionary of Modern American Usage, variantOfEnglish, American English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: variantOfEnglish
Context triple: [A Dictionary of Modern American Usage, variantOfEnglish, American English]
  • A. linguisticVariant chosen
    Indicates that one linguistic form is an alternative version or expression of another within the same or closely related language context.
  • B. partOfLinguisticVariety
    Indicates that one linguistic variety (such as a dialect, register, or style) is a constituent or subset of another, broader linguistic variety.
  • C. linguisticVariation
    Indicates a relationship where one linguistic form differs from another in expression, usage, or structure while remaining related in meaning or function.
  • D. officialLanguageVariant
    Indicates that one language variety is an officially recognized form or version of another language within a specific jurisdiction or context.
  • E. primaryLanguageVariety
    Indicates the main dialect or specific variety of a language that an entity primarily uses.
  • 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_69efb51cb5288190818c1f63a266af11 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6434ad2248190a431a5a12c4123d2 completed May 2, 2026, 6:32 p.m.
PD Predicate disambiguation batch_69f63c6c1a948190b68c0f92c264cc0c completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 10:40 p.m.