Triple
T10570438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buffalo Trace Distillery |
E249463
|
entity |
| Predicate | distillsFor |
P23178
|
FINISHED |
| Object | Old Rip Van Winkle Distillery brands |
—
|
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: Old Rip Van Winkle Distillery brands | Statement: [Buffalo Trace Distillery, distillsFor, Old Rip Van Winkle Distillery brands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distillsFor Context triple: [Buffalo Trace Distillery, distillsFor, Old Rip Van Winkle Distillery brands]
-
A.
distillationType
Indicates the specific method or process of distillation used to separate or refine substances.
-
B.
refinedIn
Indicates that one entity is processed or purified within a refining facility or operation to improve its quality or extract desired components.
-
C.
distillationSeason
Indicates the season or time of year during which a distillation process takes place.
-
D.
producesFor
chosen
Indicates that one entity creates, manufactures, or generates something specifically intended for another entity’s use, benefit, or distribution.
-
E.
destinedFor
Indicates that one entity is intended, assigned, or meant to be used for, received by, or directed toward another entity or purpose.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5274678148190b7a1afc099628357 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:37 p.m.