Triple
T16453083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Côte de Nacre |
E399602
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Langrune-sur-Mer |
E652860
|
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: Langrune-sur-Mer | Statement: [Côte de Nacre, hasTown, Langrune-sur-Mer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langrune-sur-Mer Context triple: [Côte de Nacre, hasTown, Langrune-sur-Mer]
-
A.
Langrune-sur-Mer
chosen
Langrune-sur-Mer is a coastal commune in northwestern France, situated on the English Channel in the Normandy region.
-
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.
Herbeumont
Herbeumont is a picturesque village and municipality in the Belgian Ardennes, known for its forested landscapes, medieval castle ruins, and scenic views over the Semois valley.
-
D.
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.
-
E.
Eperlecques
Eperlecques is a commune in northern France best known for the nearby World War II V-2 rocket bunker known as the Blockhaus d'Éperlecques.
- 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_6a005815efc48190868305f428cb9085 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:10 a.m.