Triple
T4769961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calvados |
E105902
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Courseulles-sur-Mer |
E31237
|
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: Courseulles-sur-Mer | Statement: [Calvados, contains, Courseulles-sur-Mer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Courseulles-sur-Mer Context triple: [Calvados, contains, Courseulles-sur-Mer]
-
A.
Courseulles-sur-Mer
chosen
Courseulles-sur-Mer is a coastal town in Normandy, France, known for its role in the D-Day landings and its proximity to the historic Allied invasion beaches.
-
B.
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.
-
C.
Saint-Laurent-sur-Mer
Saint-Laurent-sur-Mer is a coastal commune in Normandy, France, historically significant for its location at the heart of the D-Day landings during World War II.
-
D.
Beaulieu-sur-Mer
Beaulieu-sur-Mer is an upscale seaside resort town on the French Riviera known for its mild climate, Belle Époque architecture, and picturesque Mediterranean coastline.
-
E.
Fos-sur-Mer
Fos-sur-Mer is a coastal industrial town in southern France known for its large port facilities and heavy industry along the Mediterranean.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd655c9a2c8190adce3e2a8a1fa0a7 |
completed | March 20, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c971a688190b0023727acdbd9f7 |
completed | March 21, 2026, 8:53 a.m. |
Created at: March 20, 2026, 1:21 p.m.