Triple
T6916587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bresse |
E160069
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Mâconnais |
E46303
|
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: Mâconnais | Statement: [Bresse, borderedBy, Mâconnais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mâconnais Context triple: [Bresse, borderedBy, Mâconnais]
-
A.
Mâconnais
chosen
Mâconnais is a wine-producing subregion in southern Burgundy, France, best known for its Chardonnay-based white wines.
-
B.
Mâcon AOC
Mâcon AOC is a French wine appellation in the Mâconnais region of southern Burgundy, known primarily for its fresh, fruit-driven white wines made from Chardonnay.
-
C.
Côte Chalonnaise
Côte Chalonnaise is a wine-producing subregion of Burgundy in eastern France, known for its value-driven red and white wines primarily from Pinot Noir and Chardonnay.
-
D.
Bresse
Bresse is a historical region in eastern France known for its rich agricultural land, distinctive culinary traditions, and cultural ties to the Franco-Provençal linguistic area.
-
E.
Brouilly
Brouilly is a French wine appellation in the Beaujolais region, known for its fruity, approachable red wines made primarily from the Gamay grape.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9e034cc81908f1e8f31b055e119 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7512b39b081908370c43ed3d65829 |
completed | March 28, 2026, 3:55 a.m. |
Created at: March 27, 2026, 2:26 p.m.