Triple
T10603860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Bordeaux |
E275820
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Eysines |
E254747
|
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: Eysines | Statement: [arrondissement of Bordeaux, contains, Eysines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eysines Context triple: [arrondissement of Bordeaux, contains, Eysines]
-
A.
Lacanau
Lacanau is a coastal resort town in southwestern France known for its Atlantic beaches, surfing, and large freshwater lake.
-
B.
Hendaye
Hendaye is a coastal town in southwestern France on the Atlantic near the Spanish border, known as a gateway to the Basque Country and the Pyrenees.
-
C.
Gradignan
chosen
Gradignan is a suburban commune in southwestern France’s Gironde department, forming part of the Bordeaux metropolitan area and known for its green spaces and wine-growing surroundings.
-
D.
Vannes
Vannes is a historic coastal city in northwestern France known for its well-preserved medieval old town and harbor on the Gulf of Morbihan.
-
E.
Saint-Girons
Saint-Girons is a small town in the Ariège department of southwestern France, situated in the foothills of the Pyrenees.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded6d698819084f96f46ea941461 |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a23e24881909afb009baa0ef662 |
completed | April 10, 2026, 10:31 p.m. |
Created at: April 8, 2026, 7:32 p.m.