Triple
T21150684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savoie wine region |
E521178
|
entity |
| Predicate | wineColorShare |
P64724
|
FINISHED |
| Object | majority white wine production |
—
|
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: majority white wine production | Statement: [Savoie wine region, wineColorShare, majority white wine production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineColorShare Context triple: [Savoie wine region, wineColorShare, majority white wine production]
-
A.
wineColor
Indicates the color attribute or hue associated with a given wine.
-
B.
whiteWineShare
chosen
Indicates the proportion or share of white wine within a larger set, such as total wine consumption, production, or sales.
-
C.
wineColorMajority
Indicates that the majority of a given set or collection of wines share the same color.
-
D.
wineComponent
Indicates that one entity is a constituent ingredient or part of a wine represented by the other entity.
-
E.
wineColorNotAllowed
Indicates that a particular wine color is not permitted or is disallowed in the given context or relationship.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72401830c8190a2008c40c4174d97 |
completed | April 21, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:58 p.m.