Triple
T2234293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meursault |
E49241
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Côte d’Or wine region |
E6890
|
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 d’Or wine region | Statement: [Meursault, partOf, Côte d’Or wine region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Côte d’Or wine region Context triple: [Meursault, partOf, Côte d’Or wine region]
-
A.
Bordeaux wine region
The Bordeaux wine region is a renowned area in southwestern France famous for its prestigious red, white, and sweet wines produced across numerous appellations.
-
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.
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.
Burgundy
chosen
Burgundy is a renowned wine-producing region in eastern France, famous for its high-quality Chardonnay and Pinot Noir wines.
-
E.
Bergerac wine region
Bergerac wine region is a French appellation area in the Dordogne known for producing a wide range of red, white, and rosé wines, including both dry and sweet styles.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc09297a481909e8fe6ec645de616 |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea85f62e081909f92b1a98b688104 |
completed | March 9, 2026, 11 a.m. |
Created at: March 4, 2026, 7:47 p.m.