Triple
T23070097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunnahabhain 25 Year Old |
E575167
|
entity |
| Predicate | isIslayWhisky |
P81068
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bunnahabhain 25 Year Old, isIslayWhisky, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIslayWhisky Context triple: [Bunnahabhain 25 Year Old, isIslayWhisky, true]
-
A.
whiskyRegionOf
chosen
Indicates the geographical region where a particular whisky is produced or originates.
-
B.
recognizesAsBestWhisky
Indicates that one entity regards another whisky as the best among a relevant set or category.
-
C.
isNonAgeStatementWhisky
Indicates that a whisky is a non-age-statement expression, meaning it is sold without a specific age declaration on the label.
-
D.
includesDistilleryRegion
Indicates that one entity encompasses or contains the geographic region associated with a particular distillery.
-
E.
isPeated
Indicates that something has been treated with or characterized by peat, typically imparting a smoky or earthy quality.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c5f17348190ab92cfdae9bcaeba |
completed | April 29, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:56 p.m.