Triple
T21749182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Beausoleil |
E536865
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | La Turbie |
—
|
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: La Turbie | Statement: [Canton of Beausoleil, contains, La Turbie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Turbie Context triple: [Canton of Beausoleil, contains, La Turbie]
-
A.
La Turbie
chosen
La Turbie is a historic hilltop village on the French Riviera, best known for its ancient Roman Trophy of Augustus and panoramic views over Monaco and the Mediterranean.
-
B.
La Turballe
La Turballe is a coastal commune in western France known for its fishing port and Atlantic beaches.
-
C.
Roquebillière
Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
-
D.
Le Dorat
Le Dorat is a historic small town in west-central France known for its medieval architecture and Romanesque collegiate church.
-
E.
Le Touret
Le Touret is a village in northern France notable for its First World War cemeteries and memorials to fallen soldiers.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a78bd908190b74e26ab1cc8788f |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:50 p.m.