Triple

T6341577
Position Surface form Disambiguated ID Type / Status
Subject Réunion Creole E142637 entity
Predicate hasPhonologyInfluenceFrom P23173 FINISHED
Object French E13984 NE FINISHED

How this triple was built (3 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: French | Statement: [Réunion Creole, hasPhonologyInfluenceFrom, French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French
Context triple: [Réunion Creole, hasPhonologyInfluenceFrom, French]
  • A. French chosen
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • B. FR
    FR is the vehicle registration code for the Freiburg im Breisgau district in the German state of Baden-Württemberg.
  • C. FR
    FR is the Swiss vehicle registration code for the canton of Fribourg.
  • D. FR
    FR is the IATA airline designator used to identify Ryanair flights.
  • E. French Corner
    French Corner is the English meaning of the name "Franschhoek," a South African town historically settled by French Huguenots.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhonologyInfluenceFrom
Context triple: [Réunion Creole, hasPhonologyInfluenceFrom, French]
  • A. hasPhonologicalBasisFor
    Indicates that one entity serves as the phonological source, motivation, or foundation for another entity.
  • B. hasLexicalInfluenceOn
    Indicates that one linguistic element (such as a word, phrase, or lexicon) has affected or shaped the form, usage, or meaning of another linguistic element.
  • C. hasOwnPhonology
    Indicates that an entity possesses its own distinct phonological system or set of sound patterns, separate from those of other entities.
  • D. hasPhonologicalChange
    Indicates a relationship where one linguistic form undergoes a change in its sound structure relative to another form or earlier state.
  • E. languageInfluence chosen
    Indicates that one language has an effect on the development, usage, or characteristics of another language.
  • F. None of above.

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.
NED1 Entity disambiguation (via context triple) batch_69c62d4656f48190a4725fdeb2dd255d completed March 27, 2026, 7:09 a.m.
PD Predicate disambiguation batch_69c060ea1a988190889e47b7e0c819b8 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:30 p.m.