Triple
T929731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franco-Provençal |
E20062
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Valdôtain |
E20538
|
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: Valdôtain | Statement: [Franco-Provençal, hasDialects, Valdôtain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdôtain Context triple: [Franco-Provençal, hasDialects, Valdôtain]
-
A.
Aosta Valley
chosen
Aosta Valley is a mountainous autonomous region in northwestern Italy, renowned for its Alpine landscapes, ski resorts, and proximity to major peaks such as Mont Blanc.
-
B.
Savoie
Savoie is a mountainous department in southeastern France, known for its Alpine landscapes, ski resorts, and rich Savoyard cultural heritage.
-
C.
Tarentaise Valley
The Tarentaise Valley is a high alpine valley in the French Alps renowned for its major ski resorts and dramatic mountain scenery.
-
D.
Val d’Aran
Val d’Aran is a high-mountain valley in the central Pyrenees of Catalonia, Spain, known for its distinct Aranese culture and language, ski resorts like Baqueira-Beret, and strategic location on the Atlantic side of the range.
-
E.
Lia Rumantscha
Lia Rumantscha is the main organization dedicated to promoting, standardizing, and preserving the Romansh language in Switzerland.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b349b3d0819090c58b4fb60c6a1b |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac82f25c088190ae32593e6edbb8d0 |
completed | March 7, 2026, 7:56 p.m. |
Created at: March 1, 2026, 7:40 p.m.