Triple
T38642074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1792 Aged Twelve Years Bourbon |
E938620
|
entity |
| Predicate | distillationRegion |
P81068
|
FINISHED |
| Object | Kentucky |
—
|
NE NERFINISHED |
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: Kentucky | Statement: [1792 Aged Twelve Years Bourbon, distillationRegion, Kentucky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distillationRegion Context triple: [1792 Aged Twelve Years Bourbon, distillationRegion, Kentucky]
-
A.
includesDistilleryRegion
Indicates that one entity encompasses or contains the geographic region associated with a particular distillery.
-
B.
distillationType
Indicates the specific method or process of distillation used to separate or refine substances.
-
C.
beerStyleRegion
Indicates the geographic region or origin associated with a particular beer style.
-
D.
distilledIn
Indicates that a substance or product has been produced or purified through a distillation process carried out at a specified location or facility.
-
E.
whiskyRegionOf
chosen
Indicates the geographical region where a particular whisky is produced or originates.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 3, 2026, 4:32 p.m.