Triple
T33979152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodford Reserve Wheat Whiskey |
E871225
|
entity |
| Predicate | grainBillCharacteristic |
P177981
|
FINISHED |
| Object | wheat is the dominant grain |
—
|
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: wheat is the dominant grain | Statement: [Woodford Reserve Wheat Whiskey, grainBillCharacteristic, wheat is the dominant grain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grainBillCharacteristic Context triple: [Woodford Reserve Wheat Whiskey, grainBillCharacteristic, wheat is the dominant grain]
-
A.
grain
Indicates that one entity is composed of or contains a granular substance or small particles of another entity.
-
B.
hasGrainQuality
Indicates that an entity possesses a particular level or type of grain quality, characterizing the quality attributes of its grain.
-
C.
wineCharacteristic
Indicates a descriptive property or quality attributed to a wine, such as its flavor, aroma, color, or style.
-
D.
hasGrainType
Indicates that an entity is characterized by or associated with a specific type of grain.
-
E.
mashBillGrainEmphasis
chosen
Indicates the primary grain or grains that dominate the composition of a mash bill in a distilled spirit.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:50 a.m.