Triple

T26041266
Position Surface form Disambiguated ID Type / Status
Subject Ruhr German E647695 entity
Predicate sociolectAspect P64609 FINISHED
Object workers' sociolect 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: workers' sociolect | Statement: [Ruhr German, sociolectAspect, workers' sociolect]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sociolectAspect
Context triple: [Ruhr German, sociolectAspect, workers' sociolect]
  • A. sociolinguisticStatus
    Indicates the social and cultural standing or prestige associated with a language variety or linguistic feature within a particular community or context.
  • B. partOfLinguisticVariety chosen
    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. hasSociolinguisticPhenomenon
    Indicates a relationship where a subject exhibits, involves, or is associated with a particular sociolinguistic phenomenon (such as dialectal variation, code-switching, or language change in social context).
  • E. sociolinguisticSituation
    Indicates the social and cultural context in which language is used, including factors like participants, setting, norms, and power relations that shape linguistic behavior.
  • 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_69e77e8c88f08190858c4c81bd2e1b9a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f60622ddf48190b95318ea7a3676ce completed May 2, 2026, 2:11 p.m.
PD Predicate disambiguation batch_69f5f7fba5248190945acf1561280799 completed May 2, 2026, 1:11 p.m.
Created at: April 22, 2026, 9:08 a.m.