Triple
T12572266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayonnais |
E295632
|
entity |
| Predicate | pluralForm |
P5088
|
FINISHED |
| Object | Bayonnais |
E295632
|
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: Bayonnais | Statement: [Bayonnais, pluralForm, Bayonnais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayonnais Context triple: [Bayonnais, pluralForm, Bayonnais]
-
A.
Bayonnais
chosen
Bayonnais refers to the inhabitants or natives of Bayonne, a historic city in southwestern France near the Atlantic coast and the Spanish border.
-
B.
Boulange
Boulange is a small commune in northeastern France, located in the Moselle department within the Grand Est region.
-
C.
Boudin
Boudin is a French surname most famously associated with Eugène Boudin, a pioneering 19th-century landscape and marine painter linked to the origins of Impressionism.
-
D.
Saint-Honoré
Saint-Honoré is a small municipality in the Saguenay–Lac-Saint-Jean region of Quebec, Canada, known for its rural character and proximity to the city of Saguenay.
-
E.
Roux
Roux is a French surname borne by numerous notable figures, including scientists, artists, and public personalities.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954a52c788190beac128a97e34dc1 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65595826081908035655f7930f55a |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 11:50 p.m.