Triple
T18245241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prix Jean Prat |
E436932
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Deauville |
—
|
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: Deauville | Statement: [Prix Jean Prat, location, Deauville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deauville Context triple: [Prix Jean Prat, location, Deauville]
-
A.
Deauville
chosen
Deauville is a fashionable seaside resort town in Normandy, France, renowned for its beaches, grand casino, horse racing, and role as a luxury holiday destination.
-
B.
Le Touquet
Le Touquet is a seaside resort town on France’s northern coast, known for its elegant villas, wide sandy beaches, and popularity with affluent holidaymakers.
-
C.
Honfleur
Honfleur is a historic port town in Normandy, northern France, renowned for its picturesque old harbor, timber-framed houses, and association with Impressionist painters.
-
D.
Honfleur-Deauville
Honfleur-Deauville is a French administrative canton in the Calvados department of the Normandy region, encompassing the coastal towns of Honfleur and Deauville.
-
E.
Boulogne-sur-Mer
Boulogne-sur-Mer is a coastal city and major fishing port in northern France, located on the English Channel in the Pas-de-Calais department.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e6fbac8190bf252c4337f50c29 |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.