Triple
T244724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinot Noir |
E5011
|
entity |
| Predicate | notableRegion |
P22
|
FINISHED |
| Object | Côte de Beaune |
E8877
|
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 de Beaune | Statement: [Pinot Noir, notableRegion, Côte de Beaune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Côte de Beaune Context triple: [Pinot Noir, notableRegion, Côte de Beaune]
-
A.
Côte de Beaune
chosen
Côte de Beaune is a renowned subregion of Burgundy in eastern France, celebrated for its high-quality white wines and prestigious Chardonnay-based crus.
-
B.
Côte de Nuits
Côte de Nuits is a renowned subregion of Burgundy in eastern France, famous for producing some of the world’s finest and most age-worthy red wines.
-
C.
Chablis
Chablis is a renowned wine region in northern Burgundy, France, famous for its crisp, mineral-driven white wines made exclusively from Chardonnay grapes.
-
D.
Burgundy
Burgundy is a renowned wine-producing region in eastern France, famous for its high-quality Chardonnay and Pinot Noir wines.
-
E.
Saint-Genis-Pouilly
Saint-Genis-Pouilly is a French commune in the Ain department near the Swiss border, known for its proximity to Geneva and the CERN research center.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a260c592cc8190bc642fcd248a1f1b |
completed | Feb. 28, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3765be530819088d680acc6a26a4a |
completed | Feb. 28, 2026, 11:12 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.