Triple
T38053557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentucky Vintage Bourbon |
E949837
|
entity |
| Predicate | labelDesignation |
P151323
|
FINISHED |
| Object | Kentucky straight bourbon whiskey |
—
|
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: Kentucky straight bourbon whiskey | Statement: [Kentucky Vintage Bourbon, labelDesignation, Kentucky straight bourbon whiskey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelDesignation Context triple: [Kentucky Vintage Bourbon, labelDesignation, Kentucky straight bourbon whiskey]
-
A.
bdDesignation
chosen
Indicates that one entity is formally assigned or designated as having a particular role, status, or classification in relation to another entity.
-
B.
catalogueDesignationFor
Indicates that one entity serves as the catalogue designation or identifier assigned to another entity within a cataloging system.
-
C.
exampleDesignation
Indicates that one entity is identified or labeled as a representative or illustrative instance of another entity.
-
D.
eraDesignation
Indicates the specific historical or chronological era associated with an entity or event.
-
E.
collectionDesignation
Indicates that one entity assigns or specifies a particular collection label or designation for another entity.
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.