Triple
T12744063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | blanc de blancs Champagne |
E304557
|
entity |
| Predicate | oftenProducedAs |
P74478
|
FINISHED |
| Object | vintage Champagne |
—
|
LITERAL 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: vintage Champagne | Statement: [blanc de blancs Champagne, oftenProducedAs, vintage Champagne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenProducedAs Context triple: [blanc de blancs Champagne, oftenProducedAs, vintage Champagne]
-
A.
producedAs
chosen
Indicates that one entity is created, generated, or brought into existence as a result or output of another entity or process.
-
B.
isFrequentlyProducedBy
Indicates that something is commonly or regularly generated, created, or brought about by a particular entity or source.
-
C.
producesFor
Indicates that one entity creates, manufactures, or generates something specifically intended for another entity’s use, benefit, or distribution.
-
D.
massProduced
Indicates that an item is manufactured in large quantities, typically using standardized, industrial production processes.
-
E.
laterProducedBy
Indicates that something is produced or created by an entity at a later time than some referenced or implied production event.
- F. None of above.
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_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:26 p.m.