Triple
T38642000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1792 Bourbon |
E938618
|
entity |
| Predicate | distillationCountry |
P26
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [1792 Bourbon, distillationCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distillationCountry Context triple: [1792 Bourbon, distillationCountry, United States]
-
A.
distillationType
Indicates the specific method or process of distillation used to separate or refine substances.
-
B.
distilledIn
Indicates that a substance or product has been produced or purified through a distillation process carried out at a specified location or facility.
-
C.
includesDistilleryRegion
Indicates that one entity encompasses or contains the geographic region associated with a particular distillery.
-
D.
denominationOfOrigin
Indicates a legally recognized origin relationship where a product’s quality or characteristics are specifically attributable to being produced in a particular geographic region.
-
E.
countryOfOrigin
chosen
Indicates the country from which an entity originally comes or was first produced, created, or established.
- 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_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:32 p.m.