Triple
T23142277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Pont-l’Évêque |
E577493
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Blonville-sur-Mer
Blonville-sur-Mer is a seaside commune on the Normandy coast of northwestern France, known for its sandy beaches and resort atmosphere.
|
E1576037
|
NE FINISHED |
How this triple was built (4 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: Blonville-sur-Mer | Statement: [canton of Pont-l’Évêque, contains, Blonville-sur-Mer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blonville-sur-Mer Context triple: [canton of Pont-l’Évêque, contains, Blonville-sur-Mer]
-
A.
Batz-sur-Mer
Batz-sur-Mer is a coastal commune in western France known for its salt marshes, beaches, and traditional Breton character.
-
B.
Longues-sur-Mer
Longues-sur-Mer is a coastal commune in Normandy, France, best known for its well-preserved German World War II artillery battery overlooking the D-Day landing beaches.
-
C.
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.
-
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.
Saint-Pol-sur-Mer
Saint-Pol-sur-Mer is a coastal town in northern France that forms part of the urban area of Dunkirk in the Nord department.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Blonville-sur-Mer Triple: [canton of Pont-l’Évêque, contains, Blonville-sur-Mer]
Generated description
Blonville-sur-Mer is a seaside commune on the Normandy coast of northwestern France, known for its sandy beaches and resort atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blonville-sur-Mer Target entity description: Blonville-sur-Mer is a seaside commune on the Normandy coast of northwestern France, known for its sandy beaches and resort atmosphere.
-
A.
Batz-sur-Mer
Batz-sur-Mer is a coastal commune in western France known for its salt marshes, beaches, and traditional Breton character.
-
B.
Longues-sur-Mer
Longues-sur-Mer is a coastal commune in Normandy, France, best known for its well-preserved German World War II artillery battery overlooking the D-Day landing beaches.
-
C.
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.
-
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.
Saint-Pol-sur-Mer
Saint-Pol-sur-Mer is a coastal town in northern France that forms part of the urban area of Dunkirk in the Nord department.
- F. None of above. chosen
Provenance (5 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecb72fc8190a24e8f5756217a36 |
completed | April 29, 2026, 4:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f3d44a8819086dc22a62313de0b |
completed | May 19, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_6a0c3fec592c8190a8d8ae47f310edd7 |
completed | May 19, 2026, 10:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4064012c819083b2ffe795226ab6 |
completed | May 19, 2026, 10:50 a.m. |
Created at: April 17, 2026, 4 p.m.