Triple

T19302812
Position Surface form Disambiguated ID Type / Status
Subject French Mauritius E482743 entity
Predicate commonLanguage P237 FINISHED
Object Mauritian Creole 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: Mauritian Creole | Statement: [French Mauritius, commonLanguage, Mauritian Creole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mauritian Creole
Context triple: [French Mauritius, commonLanguage, Mauritian Creole]
  • A. Mauritian Creole chosen
    Mauritian Creole is a French-based creole language spoken primarily in Mauritius, serving as the country’s most widely used lingua franca and a key marker of its cultural identity.
  • B. Seychellois Creole
    Seychellois Creole is a French-based creole language spoken primarily in Seychelles, where it serves as a national and widely used lingua franca.
  • C. Réunion Creole
    Réunion Creole is a French-based creole language spoken by the majority of the population on the island of Réunion in the Indian Ocean.
  • D. Guianan Creole
    Guianan Creole is a French-based creole language spoken primarily in French Guiana, shaped by African, Amerindian, and European influences.
  • E. Kreol Morisien
    Kreol Morisien is a French-based Creole language spoken primarily in Mauritius and serves as the country’s most widely used lingua franca.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc8add788190aed98bcbad518808 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.