Triple
T12420632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reuilly |
E296757
|
entity |
| Predicate | typicalRoséStyle |
P51955
|
FINISHED |
| Object | pale dry rosé |
—
|
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: pale dry rosé | Statement: [Reuilly, typicalRoséStyle, pale dry rosé]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRoséStyle Context triple: [Reuilly, typicalRoséStyle, pale dry rosé]
-
A.
typicalRoséCharacter
chosen
Indicates that something exhibits the characteristic qualities or flavor profile commonly associated with rosé.
-
B.
styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
-
C.
typicalStyleRed
Indicates that something commonly or characteristically has a red style or appearance.
-
D.
typicalRedStyleDescriptor
Indicates that something is described as having the characteristic or stylistic qualities typically associated with the color red.
-
E.
relatedStyle
Indicates that one style is associated with, similar to, or derived from another style in some relevant way.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.