Triple
T2006967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aube |
E43606
|
entity |
| Predicate | historicRegion |
P915
|
FINISHED |
| Object | Champagne |
E9584
|
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: Champagne | Statement: [Aube, historicRegion, Champagne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Champagne Context triple: [Aube, historicRegion, Champagne]
-
A.
Champagne
chosen
Champagne is a renowned wine-producing region in northeastern France famous for its sparkling wines made primarily from Chardonnay, Pinot Noir, and Pinot Meunier grapes.
-
B.
Champenois
Champenois is a Romance regional language historically spoken in parts of northeastern France and adjacent areas of Wallonia in Belgium.
-
C.
Chardonnay
Chardonnay is a widely planted and versatile white wine grape variety known for producing wines that range from crisp and mineral-driven to rich, oaky, and buttery in style.
-
D.
Chablis
Chablis is a renowned wine region in northern Burgundy, France, famous for its crisp, mineral-driven white wines made exclusively from Chardonnay grapes.
-
E.
Blanc Fumé
Blanc Fumé is an alternative name for Sauvignon Blanc, particularly associated with smoky, flinty-style expressions of the 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8999e108190a07daa01452a5dab |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0adedd388190a09361c3e69a4ed5 |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:37 p.m.