Triple
T20134936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pays arpitan |
E491000
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Aosta Valley |
—
|
NE NERFINISHED |
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: Aosta Valley | Statement: [Pays arpitan, contains, Aosta Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aosta Valley Context triple: [Pays arpitan, contains, Aosta Valley]
-
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.
Val di Zoldo
Val di Zoldo is a mountainous valley and municipality in the Dolomites of northeastern Italy, known for its alpine scenery, skiing, and traditional gelato-making heritage.
-
C.
Val di Non
Val di Non is a valley in northern Italy’s Trentino region, renowned for its apple orchards, scenic alpine landscapes, and historic castles.
-
D.
Valdôtain
Valdôtain is a Franco-Provençal (Arpitan) dialect traditionally spoken by the inhabitants of Italy’s Aosta Valley.
-
E.
Valtellina
Valtellina is an alpine valley in northern Italy renowned for its terraced vineyards, mountain landscapes, and traditional cuisine.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66766e46c81908721fd47066dc9f8 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.