Triple

T2731831
Position Surface form Disambiguated ID Type / Status
Subject New England English E60330 entity
Predicate hasSociolinguisticVariation P32680 FINISHED
Object urban vs rural differences 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: urban vs rural differences | Statement: [New England English, hasSociolinguisticVariation, urban vs rural differences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSociolinguisticVariation
Context triple: [New England English, hasSociolinguisticVariation, urban vs rural differences]
  • A. linguisticVariant
    Indicates that one linguistic form is an alternative version or expression of another within the same or closely related language context.
  • B. hasRegionalVariationsIn chosen
    Indicates that something exhibits different forms, versions, or characteristics depending on the geographic region.
  • C. sociolinguisticStatus
    Indicates the social and cultural standing or prestige associated with a language variety or linguistic feature within a particular community or context.
  • D. hasColloquialVariety
    Indicates that one linguistic form, expression, or variety is an informal, colloquial counterpart or version of another.
  • E. hasDialectContinuumWith
    Indicates that two languages or dialects are part of a continuous chain of mutually intelligible varieties, without a clear boundary separating them.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaf011548190beb9c3feee7b743f completed March 7, 2026, 7:59 a.m.
PD Predicate disambiguation batch_69abd82859348190bce3be8f2e9d60ba completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:56 p.m.