Triple
T9433339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labourd |
E227438
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Anglet |
E168470
|
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: Anglet | Statement: [Labourd, contains, Anglet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anglet Context triple: [Labourd, contains, Anglet]
-
A.
Anglet
chosen
Anglet is a coastal city in southwestern France, situated between Bayonne and Biarritz in the French Basque Country and known for its Atlantic beaches and surf culture.
-
B.
Le Touquet
Le Touquet is a seaside resort town on France’s northern coast, known for its elegant villas, wide sandy beaches, and popularity with affluent holidaymakers.
-
C.
Villeneuve d’Ascq
Villeneuve d’Ascq is a suburban city in northern France near Lille, known for its universities, technology parks, and modernist urban planning.
-
D.
Bény-sur-Mer
Bény-sur-Mer is a small commune in the Calvados department of Normandy in northwestern France, near the historic D-Day landing beaches.
-
E.
Boulogne-sur-Mer
Boulogne-sur-Mer is a coastal city and major fishing port in northern France, located on the English Channel in the Pas-de-Calais department.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e61a114819081fc4a2ad39c96ba |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1104514d481908d7cb9a87a01f1e2 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:49 p.m.