Triple
T37894611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rowan’s Creek Bourbon |
E945240
|
entity |
| Predicate | grainSpiritType |
P189796
|
FINISHED |
| Object | corn-based 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: corn-based whiskey | Statement: [Rowan’s Creek Bourbon, grainSpiritType, corn-based whiskey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grainSpiritType Context triple: [Rowan’s Creek Bourbon, grainSpiritType, corn-based whiskey]
-
A.
alcoholType
Indicates the specific kind or category of alcohol associated with an entity (e.g., beer, wine, spirits).
-
B.
distilleryType
Indicates the specific kind or category of distillery associated with an entity (e.g., craft, industrial, micro, or regional type).
-
C.
firstSpiritDistilled
Indicates that an entity is the initial spirit or batch produced through a distillation process from another entity.
-
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.
distillationType
Indicates the specific method or process of distillation used to separate or refine substances.
- F. None of above. chosen
Provenance (4 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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc993caa881908c16c3e21efaeef9 |
completed | May 6, 2026, 11:07 p.m. |
Created at: May 3, 2026, 4:19 p.m.