Triple

T6341601
Position Surface form Disambiguated ID Type / Status
Subject Réunion Creole E142637 entity
Predicate hasSociolinguisticPhenomenon P70080 FINISHED
Object code-switching with French 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: code-switching with French | Statement: [Réunion Creole, hasSociolinguisticPhenomenon, code-switching with French]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSociolinguisticPhenomenon
Context triple: [Réunion Creole, hasSociolinguisticPhenomenon, code-switching with French]
  • 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. 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.
  • C. hasLinguisticFeature
    Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
  • D. linguisticFeature
    Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
  • E. hasPhonologicalBasisFor
    Indicates that one entity serves as the phonological source, motivation, or foundation for 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0674445748190bce2d638048be77c completed March 22, 2026, 10:03 p.m.
PD Predicate disambiguation batch_69c060ea1a988190889e47b7e0c819b8 completed March 22, 2026, 9:36 p.m.
PDg Predicate description generation batch_69c0623bb29081908bfdfb84a07ece90 completed March 22, 2026, 9:42 p.m.
Created at: March 22, 2026, 4:30 p.m.