Triple
T12728903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corton-Charlemagne |
E304178
|
entity |
| Predicate | situatedOn |
P40
|
FINISHED |
| Object | Corton hill |
E304178
|
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: Corton hill | Statement: [Corton-Charlemagne, situatedOn, Corton hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corton hill Context triple: [Corton-Charlemagne, situatedOn, Corton hill]
-
A.
Corton
Corton is a coastal village and civil parish in Suffolk, England, situated just north of Lowestoft on the North Sea.
-
B.
Corton-Charlemagne
chosen
Corton-Charlemagne is a prestigious white Burgundy Grand Cru appellation in France, renowned for its powerful, age-worthy Chardonnay wines.
-
C.
Montagne de Reims
Montagne de Reims is a renowned chalky plateau in France’s Champagne region, famous for its Pinot Noir–dominant vineyards that produce powerful, structured Champagne wines.
-
D.
Côte de Beaune
Côte de Beaune is a renowned subregion of Burgundy in eastern France, celebrated for its high-quality white wines and prestigious Chardonnay-based crus.
-
E.
Hautes-Côtes de Beaune
Hautes-Côtes de Beaune is a Burgundy wine appellation in the hills west of the Côte de Beaune, known for producing lighter, aromatic Pinot Noir and Chardonnay wines at higher altitudes.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964172490819080cd022ff8290b6e |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8a4b7c8190a514b623a7364fd7 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:25 p.m.