Triple
T13026578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lacanau |
E326322
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lacanau-Océan |
E326322
|
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: Lacanau-Océan | Statement: [Lacanau, hasPart, Lacanau-Océan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lacanau-Océan Context triple: [Lacanau, hasPart, Lacanau-Océan]
-
A.
Golfe-Juan
Golfe-Juan is a seaside district on the French Riviera, known for its beaches and marina on the Mediterranean coast.
-
B.
La Tranche-sur-Mer
La Tranche-sur-Mer is a seaside resort town on France’s Atlantic coast, known for its sandy beaches and water sports.
-
C.
Boussay
Boussay is a small French commune best known as the birthplace of General Jacques-François Menou, a prominent military figure of the French Revolutionary era.
-
D.
L’Estaque
L’Estaque is a coastal district of Marseille in southern France, famed for its picturesque Mediterranean scenery that inspired numerous Impressionist and Post-Impressionist painters.
-
E.
Lacanau
chosen
Lacanau is a coastal resort town in southwestern France known for its Atlantic beaches, surfing, and large freshwater lake.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efc07488190a15f3e41ea2db45c |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11f83d88190bc153dba75db0995 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:53 p.m.