Triple
T16453082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Côte de Nacre |
E399602
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Saint-Aubin-sur-Mer |
E651982
|
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: Saint-Aubin-sur-Mer | Statement: [Côte de Nacre, hasTown, Saint-Aubin-sur-Mer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Aubin-sur-Mer Context triple: [Côte de Nacre, hasTown, Saint-Aubin-sur-Mer]
-
A.
Saint-Aubin-sur-Mer
chosen
Saint-Aubin-sur-Mer is a coastal commune in northwestern France, known for its location on the English Channel and its role in the D-Day landings of World War II.
-
B.
Cayeux-sur-Mer
Cayeux-sur-Mer is a coastal commune in northern France known for its long pebble beach and traditional wooden beach huts along the English Channel.
-
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.
Beaumont-sur-Mer
Beaumont-sur-Mer is a fictional upscale seaside town that serves as the primary setting for the film "Bedtime Story."
-
E.
Hautot-sur-Mer
Hautot-sur-Mer is a coastal commune in northern France, near Dieppe, known for its World War II history and military cemetery commemorating Canadian soldiers.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ce259d88190803930051409d72c |
completed | April 18, 2026, 7:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f4e31a08190b121d0cfe2a406c2 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.