Triple
T11632601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barton 1792 Distillery |
E276434
|
entity |
| Predicate | typeOfSpiritProduced |
P14783
|
FINISHED |
| Object | 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: bourbon whiskey | Statement: [Barton 1792 Distillery, typeOfSpiritProduced, bourbon whiskey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSpiritProduced Context triple: [Barton 1792 Distillery, typeOfSpiritProduced, bourbon whiskey]
-
A.
distilleryType
Indicates the specific kind or category of distillery associated with an entity (e.g., craft, industrial, micro, or regional type).
-
B.
distillationType
Indicates the specific method or process of distillation used to separate or refine substances.
-
C.
typeOfSpirit
Indicates the specific kind or category of spirit (e.g., ghost, demon, angel) that an entity belongs to.
-
D.
alcoholType
chosen
Indicates the specific kind or category of alcohol associated with an entity (e.g., beer, wine, spirits).
-
E.
firstSpiritDistilled
Indicates that an entity is the initial spirit or batch produced through a distillation process from 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25aa9188190ab13d79139f37e7e |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.