Triple
T11632610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barton 1792 Distillery |
E276434
|
entity |
| Predicate | usesPrimaryGrain |
P32631
|
FINISHED |
| Object | corn |
—
|
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 | Statement: [Barton 1792 Distillery, usesPrimaryGrain, corn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPrimaryGrain Context triple: [Barton 1792 Distillery, usesPrimaryGrain, corn]
-
A.
hasGrainType
chosen
Indicates that an entity is characterized by or associated with a specific type of grain.
-
B.
grain
Indicates that one entity is composed of or contains a granular substance or small particles of another entity.
-
C.
hasGrainQuality
Indicates that an entity possesses a particular level or type of grain quality, characterizing the quality attributes of its grain.
-
D.
hasPrimaryConstituent
Indicates that one entity serves as the main or principal component, ingredient, or element of another entity.
-
E.
hasPrimarySee
Indicates that one entity is designated as the main or preferred "see" reference or cross-reference 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_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.