Triple
T10472518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodford Reserve Distillery |
E246960
|
entity |
| Predicate | hasMashBill |
P94218
|
FINISHED |
| Object | corn‑based bourbon mash bill |
—
|
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 bourbon mash bill | Statement: [Woodford Reserve Distillery, hasMashBill, corn‑based bourbon mash bill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMashBill Context triple: [Woodford Reserve Distillery, hasMashBill, corn‑based bourbon mash bill]
-
A.
typeOfMalt
Indicates the specific kind or category of malt used or referenced in relation to another entity.
-
B.
isMixedBeer
Indicates that a beer is composed by mixing two or more different beers together.
-
C.
hasMashTunType
Indicates that an entity is associated with or uses a specific type or configuration of mash tun.
-
D.
hasIntegratedMicrobrewery
Indicates that an entity includes or contains a microbrewery as a built-in or internal component.
-
E.
hasSugarMills
Indicates that one entity possesses, contains, or is associated with one or more sugar mills.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094cec788190a485c5c9e7cd024a |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb84bafc8190819757b93620508a |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:20 p.m.