Triple
T37964410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noah’s Mill Bourbon |
E947098
|
entity |
| Predicate | batchType |
P189674
|
FINISHED |
| Object | small batch |
—
|
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: small batch | Statement: [Noah’s Mill Bourbon, batchType, small batch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: batchType Context triple: [Noah’s Mill Bourbon, batchType, small batch]
-
A.
blockType
Indicates that one entity is classified as a specific type or category of block in relation to another entity.
-
B.
batType
Indicates the specific category or kind of bat that an entity belongs to.
-
C.
partBType
Indicates that one entity is classified as the type or category to which the second entity (part B) belongs.
-
D.
banType
Indicates the specific category or kind of prohibition or restriction that has been applied.
-
E.
boutType
Indicates the specific category or format of a competitive bout (such as its ruleset, level, or style) that characterizes how the contest is conducted.
- 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_69f76ef7062c819091bfacb7e83aa1e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc7b6c2c88190ad4f58980834053c |
completed | May 6, 2026, 10:59 p.m. |
Created at: May 3, 2026, 4:20 p.m.