Triple
T8836381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patois |
E210276
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Kweyol |
E419016
|
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: Kweyol | Statement: [Patois, alternativeName, Kweyol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kweyol Context triple: [Patois, alternativeName, Kweyol]
-
A.
Kreol Seselwa
Kreol Seselwa is a French-based Creole language spoken primarily in the Seychelles and recognized as one of the country’s national languages.
-
B.
Kréol Rényoné
Kréol Rényoné is a French-based creole language spoken primarily on the island of Réunion in the Indian Ocean.
-
C.
Haitian Creole
Haitian Creole is a French-based creole language spoken primarily in Haiti and its diaspora, recognized as one of the country's official languages and used in education, media, and religious life.
-
D.
Kreol Morisien
chosen
Kreol Morisien is a French-based Creole language spoken primarily in Mauritius and serves as the country’s most widely used lingua franca.
-
E.
Kréyol La Lwizyàn
Kréyol La Lwizyàn is a French-based creole language historically spoken by Louisiana’s Creole communities, reflecting a blend of French, African, Indigenous, and other cultural influences.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6069ad7881909e31010e73e26f91 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf898022c88190b7274350ce065f00 |
completed | April 3, 2026, 9:33 a.m. |
Created at: March 30, 2026, 6:47 p.m.