Triple
T22545961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aujon |
E557425
|
entity |
| Predicate | mouthLocation |
P417
|
FINISHED |
| Object | Longchamp-sur-Aujon |
—
|
NE NERFINISHED |
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: Longchamp-sur-Aujon | Statement: [Aujon, mouthLocation, Longchamp-sur-Aujon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longchamp-sur-Aujon Context triple: [Aujon, mouthLocation, Longchamp-sur-Aujon]
-
A.
Longchamp-sur-Aujon
chosen
Longchamp-sur-Aujon is a small commune in northeastern France’s Grand Est region, known for its rural character and location along the Aujon River.
-
B.
Brière
Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
-
C.
Cazeneuve-Montaut
Cazeneuve-Montaut is a small commune in the Haute-Garonne department in southwestern France.
-
D.
Montferrand
Montferrand is a historic French town, now part of Clermont-Ferrand, known for its medieval heritage and former status as a separate commune in the Auvergne region.
-
E.
Apremont
Apremont is a renowned French white wine appellation in the Savoie region, known for its crisp, aromatic wines primarily made from the Jacquère grape on Alpine slopes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f35b9888190b4e1b50d5097b211 |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.