Triple
T33870080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodford Reserve Rye |
E868178
|
entity |
| Predicate | mashBillRyeContent |
P177498
|
FINISHED |
| Object | at least 51% rye |
—
|
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: at least 51% rye | Statement: [Woodford Reserve Rye, mashBillRyeContent, at least 51% rye]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mashBillRyeContent Context triple: [Woodford Reserve Rye, mashBillRyeContent, at least 51% rye]
-
A.
hasMashBill
Indicates that an alcoholic beverage (typically a spirit like whiskey or bourbon) is produced using a specific mixture of grains (the mash bill).
-
B.
typeOfMalt
Indicates the specific kind or category of malt used or referenced in relation to another entity.
-
C.
maltingsSupply
Indicates that one entity supplies maltings (facilities or products related to malting) to another entity.
-
D.
maltContent
Indicates the proportion or amount of malt present in a substance, typically a beverage or food product.
-
E.
typicalOriginalGravity
Indicates the usual or characteristic original gravity value associated with a given beer style or recipe.
- 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_69f34995029081909ede0f7df73d1a5e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f700a6ff548190b98829c0a623b75f |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5a4f7881909324eb3c20ca96f1 |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6fcc44af48190b95fb9e12480a85f |
completed | May 3, 2026, 7:44 a.m. |
Created at: May 1, 2026, 1:47 a.m.