Triple
T16412838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Le Touquet |
E398607
|
entity |
| Predicate | placeSigned |
P441
|
FINISHED |
| Object | Le Touquet |
E639623
|
NE FINISHED |
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: Le Touquet | Statement: [Treaty of Le Touquet, placeSigned, Le Touquet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Touquet Context triple: [Treaty of Le Touquet, placeSigned, Le Touquet]
-
A.
Le Touquet
chosen
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.
-
B.
Deauville
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.
-
C.
Berck-sur-Mer
Berck-sur-Mer is a seaside resort town in northern France known for its sandy beaches, coastal tourism, and traditional fishing heritage.
-
D.
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.
-
E.
Bény-sur-Mer
Bény-sur-Mer is a small commune in the Calvados department of Normandy in northwestern France, near the historic D-Day landing beaches.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32875bad08190bc3e2218df8c1b07 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c68b7408190a9612a57f146dc30 |
completed | May 10, 2026, 8:06 a.m. |
Created at: April 10, 2026, 5:09 a.m.