Triple
T14372967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krug |
E356400
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Krug Rosé |
E356400
|
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: Krug Rosé | Statement: [Krug, notableProduct, Krug Rosé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krug Rosé Context triple: [Krug, notableProduct, Krug Rosé]
-
A.
Champagne Paul Bara
Champagne Paul Bara is a renowned grower-producer in France’s Montagne de Reims region, celebrated for its traditionally crafted, Pinot Noir–driven Champagnes from estate vineyards in Bouzy.
-
B.
Krug
Krug is the traditional Cossack communal assembly that served as their highest decision-making and self-governing body.
-
C.
Krug
chosen
Krug is a prestigious Champagne house from France renowned for its luxury cuvées and craftsmanship, and is part of the LVMH portfolio of high-end wine and spirits brands.
-
D.
Champagne
"Champagne" is a track by the musical group Duotones, likely featuring their characteristic style and sound.
-
E.
Champagne
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.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9007184c8190aebb003cb6548cc8 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bbf21a48190921e99685c7ef2b9 |
completed | May 8, 2026, 3:42 a.m. |
Created at: April 10, 2026, 1:15 a.m.