Triple
T5917293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunnahabhain distillery |
E131610
|
entity |
| Predicate | usesCaskType |
P62362
|
FINISHED |
| Object | ex-bourbon casks |
—
|
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: ex-bourbon casks | Statement: [Bunnahabhain distillery, usesCaskType, ex-bourbon casks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCaskType Context triple: [Bunnahabhain distillery, usesCaskType, ex-bourbon casks]
-
A.
typicalCaskType
Indicates the usual or most commonly used type of cask associated with a given entity or context.
-
B.
caskTypesUsed
chosen
Indicates that certain types of casks are used in relation to a given entity or process.
-
C.
usesGrapeType
Indicates that one entity employs or incorporates a specific type or variety of grape in its composition, production, or process.
-
D.
casingType
Indicates the specific kind or category of casing associated with or used by an entity.
-
E.
hasCAS
Indicates that an entity is associated with a specific Chemical Abstracts Service (CAS) registry number identifying it as a distinct chemical substance.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c048fc112c8190b905bf561c9de096 |
completed | March 22, 2026, 7:54 p.m. |
| PD | Predicate disambiguation | batch_69c03352208c8190968efed05a9fd416 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:59 p.m.