Triple
T1945313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seychellois Creole |
E42043
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | La Digue |
E157235
|
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: La Digue | Statement: [Seychellois Creole, spokenIn, La Digue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Digue Context triple: [Seychellois Creole, spokenIn, La Digue]
-
A.
La Digue
chosen
La Digue is a small Seychellois island famed for its granite boulder-fringed beaches, turquoise waters, and laid-back, traditional island atmosphere.
-
B.
Île de la Jatte
Île de la Jatte is a well-known Seine River island in the western suburbs of Paris, noted for its Impressionist art heritage and upscale residential character.
-
C.
Grande-Île
Grande-Île is the principal and largest island of the Chausey archipelago off the coast of Normandy, France.
-
D.
Île de Nantes
Île de Nantes is a large river island in the Loire at the heart of Nantes, France, known for its major urban redevelopment and creative, cultural attractions.
-
E.
Île Notre-Dame
Île Notre-Dame is a man-made island in the Saint Lawrence River in Montreal, best known as a principal site of Expo 67 and now home to parks, a race circuit, and recreational facilities.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb300af2481908ae359972843c1ef |
completed | March 7, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbbcc5688190aad081dc8d119e7f |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.