Triple
T17844740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villeneuve-Loubet |
E445628
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Cagne |
—
|
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: Cagne | Statement: [Villeneuve-Loubet, locatedOnRiver, Cagne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cagne Context triple: [Villeneuve-Loubet, locatedOnRiver, Cagne]
-
A.
Cagne
chosen
The Cagne is a small coastal river in southeastern France that flows through the town of Cagnes-sur-Mer into the Mediterranean Sea.
-
B.
Cugnaux
Cugnaux is a suburban commune in southwestern France, located near the city of Toulouse in the Haute-Garonne department.
-
C.
Gouet
Gouet is an old French white grape variety, better known as Gouais Blanc, historically used in Europe and notable as a parent of many classic wine grapes.
-
D.
Loiseau
Loiseau is a French surname most notably borne by Gustave Loiseau, a post-Impressionist painter known for his landscapes and depictions of rural France.
-
E.
Bardigues
Bardigues is a small commune in the Tarn-et-Garonne department in southern France.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ff980048190b496c55b83b3b318 |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.