Triple
T21426154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forez province |
E528558
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Forézienne |
—
|
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: Forézienne | Statement: [Forez province, hasDemonym, Forézienne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forézienne Context triple: [Forez province, hasDemonym, Forézienne]
-
A.
Forézien
chosen
Forézien is the French demonym for inhabitants of the historical Forez province in central France.
-
B.
Verdunois
Verdunois is a regional dialect of the Lorrain Romance language traditionally spoken around the area of Verdun in northeastern France.
-
C.
Vieussan
Vieussan is a small commune in southern France’s Hérault department, known for its scenic setting along the Orb River amid rugged, wine-growing countryside.
-
D.
Vivarois
Vivarois is a Romance dialect of the Occitan language traditionally spoken in parts of southeastern France.
-
E.
Vallée de Gaube
Vallée de Gaube is a scenic glacial valley in the French Pyrenees, renowned for its alpine landscapes, hiking trails, and access to the nearby Lac de Gaube.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813c7a048190a400e364c8df1dcf |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 5:48 p.m.