Triple
T34290352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanton's Single Barrel Bourbon |
E879869
|
entity |
| Predicate | stopperLetters |
P179109
|
FINISHED |
| Object | B |
—
|
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: B | Statement: [Blanton's Single Barrel Bourbon, stopperLetters, B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stopperLetters Context triple: [Blanton's Single Barrel Bourbon, stopperLetters, B]
-
A.
stopperDesign
chosen
Indicates a relationship where one entity specifies or defines the design or configuration of a stopper used by another entity.
-
B.
stopsPattern
Indicates that one entity halts, interrupts, or prevents the continuation of a recurring or structured pattern involving another entity.
-
C.
excludesLetter
Indicates that one entity does not contain or allow the presence of a specified letter.
-
D.
stoppedBy
Indicates that one entity causes another entity to cease moving, operating, or continuing an action.
-
E.
typicalStopPattern
Indicates the usual or most common sequence or arrangement of stops associated with an entity’s operation or route.
- 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_69f349b6df1c81908e5e5b6c2ab6409b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 1:57 a.m.