Triple
T17261439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morisyen |
E419017
|
entity |
| Predicate | hasGlottologName |
P6521
|
FINISHED |
| Object | Morisyen |
E419017
|
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: Morisyen | Statement: [Morisyen, hasGlottologName, Morisyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morisyen Context triple: [Morisyen, hasGlottologName, Morisyen]
-
A.
Morisyen
chosen
Morisyen is the French-based Creole language widely spoken in Mauritius and used as a key marker of the island’s national identity.
-
B.
Morisien
Morisien is a French-based Creole language spoken in Mauritius and used widely in everyday communication, media, and culture.
-
C.
Langue de Barbarie
Langue de Barbarie is a narrow, sandy peninsula on Senegal’s Atlantic coast that separates the Atlantic Ocean from the Senegal River and hosts important natural reserves and coastal communities.
-
D.
Breton
Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
-
E.
Raverdinois
Raverdinois are the inhabitants or natives of the commune of Varreddes in France.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e70b00c8190b0380be08afae18d |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0171041f2c81909bf52025d68912fc |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.