Triple
T17424450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vioulou |
E423700
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Canet-de-Salars |
—
|
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: Canet-de-Salars | Statement: [Vioulou, locatedNear, Canet-de-Salars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canet-de-Salars Context triple: [Vioulou, locatedNear, Canet-de-Salars]
-
A.
Canet-de-Salars
chosen
Canet-de-Salars is a small rural commune in the Aveyron department of southern France, known for its scenic lakeside setting and outdoor recreation.
-
B.
Soussans
Soussans is a wine-producing commune in the Médoc region of southwestern France, known for contributing vineyards to the prestigious Margaux appellation.
-
C.
Carqueiranne
Carqueiranne is a coastal commune in southeastern France’s Var department on the Mediterranean, known for its beaches, mild climate, and horticultural production.
-
D.
Serques
Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
-
E.
Camprodon
Camprodon is a small town in the Catalan Pyrenees of northeastern Spain, known for its scenic mountain setting and historic Romanesque architecture.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4423999ac81909fdbd8bcffcb30c9 |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:46 a.m.