Triple
T12420629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reuilly |
E296757
|
entity |
| Predicate | typicalRedAromas |
P16142
|
FINISHED |
| Object | red berries |
—
|
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 berries | Statement: [Reuilly, typicalRedAromas, red berries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRedAromas Context triple: [Reuilly, typicalRedAromas, red berries]
-
A.
typicalAlcoholRangeRed
Indicates that the subject red wine typically falls within a specified range of alcohol content.
-
B.
grapeColorForReds
Indicates that the predicate specifies the typical color of grapes used to produce red wines.
-
C.
typicalRedStyleDescriptor
Indicates that something is described as having the characteristic or stylistic qualities typically associated with the color red.
-
D.
wineCharacteristic
chosen
Indicates a descriptive property or quality attributed to a wine, such as its flavor, aroma, color, or style.
-
E.
wineColor
Indicates the color attribute or hue associated with a given wine.
- 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.