Triple
T11784714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champagne AOC |
E280240
|
entity |
| Predicate | notableSubregions |
P72114
|
FINISHED |
| Object | Côte des Bar |
E63565
|
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: Côte des Bar | Statement: [Champagne AOC, notableSubregions, Côte des Bar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Côte des Bar Context triple: [Champagne AOC, notableSubregions, Côte des Bar]
-
A.
Côte des Bar
chosen
Côte des Bar is a southern Champagne-producing area in France known for its rolling hills, Kimmeridgian soils, and Pinot Noir–dominant sparkling wines.
-
B.
Côteaux
Côteaux is a coastal commune in Haiti’s Sud Department known for its rural character and Caribbean shoreline.
-
C.
Côte Mâconnaise
Côte Mâconnaise is a wine-producing area in the southern part of Burgundy, France, known for its Chardonnay-based white wines.
-
D.
Côtes du Frontonnais
Côtes du Frontonnais is the former name of the Fronton wine appellation in southwest France, known for its distinctive red and rosé wines made primarily from the Négrette grape.
-
E.
Burgundy plateau
The Burgundy plateau is an elevated region in eastern France known for its limestone landscapes, vineyards, and role as a watershed feeding rivers and canals in the Burgundy area.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be15fb2481908f514781ce2c617f |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417604a7c819097a601880b88ea6a |
completed | May 1, 2026, 3 a.m. |
Created at: April 8, 2026, 9:42 p.m.