Triple
T6831259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franco-Mauritian |
E157142
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Mauritian Creole |
E86042
|
NE 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: Mauritian Creole | Statement: [Franco-Mauritian, language, Mauritian Creole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mauritian Creole Context triple: [Franco-Mauritian, language, 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 (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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62820808190ad3c244893e88699 |
completed | March 27, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fab60708190825876e5715c0cc4 |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:18 p.m.