Triple
T34358196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Charter Bourbon |
E881795
|
entity |
| Predicate | containsAtLeast |
P84417
|
FINISHED |
| Object | 51% corn in 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: 51% corn in mash bill | Statement: [Old Charter Bourbon, containsAtLeast, 51% corn in mash bill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsAtLeast Context triple: [Old Charter Bourbon, containsAtLeast, 51% corn in mash bill]
-
A.
meetsAtLeast
Indicates that one entity encounters or comes into contact with another entity at least a specified minimum number of times or to a minimum required degree.
-
B.
containsMostOf
Indicates that one entity includes the majority (but not necessarily all) of the substance, elements, or components of another entity.
-
C.
containsApproximately
Indicates that one entity holds or includes another entity in a quantity or proportion that is close to, but not exactly, a specified amount.
-
D.
mustContain
Indicates that one entity is required to include or have within it another specified entity or element.
-
E.
hasMinimum
chosen
Indicates that an entity possesses at least a specified lower bound or smallest allowable value, quantity, or level in relation to another entity or constraint.
- 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_69f349bd06008190904c2f86c42749e3 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a006ef900148190ba52daf566882a03 |
completed | May 10, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_6a006c76ae748190bfe466d7d17d321e |
completed | May 10, 2026, 11:31 a.m. |
Created at: May 1, 2026, 1:58 a.m.