Triple
T22243674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slane Distillery |
E549786
|
entity |
| Predicate | usesAgingMethod |
P72486
|
FINISHED |
| Object | triple cask maturation |
—
|
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: triple cask maturation | Statement: [Slane Distillery, usesAgingMethod, triple cask maturation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAgingMethod Context triple: [Slane Distillery, usesAgingMethod, triple cask maturation]
-
A.
mayBeAgedIn
Indicates that an entity has the potential or option to undergo an aging or maturation process in a specified medium, container, or environment.
-
B.
typicalAgingIndication
Indicates that something serves as a sign or marker commonly associated with the normal process of aging.
-
C.
typicalAgingTime
Indicates the usual duration required for something to age or mature under normal conditions.
-
D.
alternativeAgingMethod
chosen
Indicates that one aging process or technique is used as an alternative to another for achieving a similar maturation or aging outcome.
-
E.
ageModel
Indicates a relationship where one entity specifies or provides the age of another entity, typically in terms of a particular age value or age-related classification.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1321655b0819091f1ddf06c67f3c2 |
completed | April 28, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:38 p.m.