Triple
T37261738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Côtes du Vivarais AOC |
E924273
|
entity |
| Predicate | primaryWineColorShare |
P109837
|
FINISHED |
| Object | red wines predominate |
—
|
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: red wines predominate | Statement: [Côtes du Vivarais AOC, primaryWineColorShare, red wines predominate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryWineColorShare Context triple: [Côtes du Vivarais AOC, primaryWineColorShare, red wines predominate]
-
A.
wineColorMajority
chosen
Indicates that the majority of a given set or collection of wines share the same color.
-
B.
wineColor
Indicates the color attribute or hue associated with a given wine.
-
C.
grapeColorDistribution
Indicates how colors are proportionally or categorically distributed among a set of grapes.
-
D.
wineColorOptions
Indicates the set of possible color categories that can be associated with a given wine.
-
E.
grapeColorProduced
Indicates the color that is produced by or characteristic of a given grape.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.