Triple
T21258177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laphroaig Triple Wood |
E523923
|
entity |
| Predicate | thirdMaturationCask |
P52924
|
FINISHED |
| Object | Oloroso sherry 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: Oloroso sherry casks | Statement: [Laphroaig Triple Wood, thirdMaturationCask, Oloroso sherry casks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdMaturationCask Context triple: [Laphroaig Triple Wood, thirdMaturationCask, Oloroso sherry casks]
-
A.
minimumAgingCask
Indicates the minimum length of time a product must be aged in a cask before it is considered compliant with a specified standard or requirement.
-
B.
mustBeMaturedIn
Indicates that something is required to undergo a maturation process within a specified context, condition, or environment before it is considered ready or valid.
-
C.
maturesIn
Indicates that an entity reaches full development, ripeness, or maturity within a specified time period or under certain conditions.
-
D.
typicalCaskType
chosen
Indicates the usual or most commonly used type of cask associated with a given entity or context.
-
E.
wineAgeingPotential
Indicates the capacity or suitability of a wine to improve in quality or maintain desirable characteristics over time with proper aging.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735e477d08190be17ad5384d69a80 |
completed | April 21, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:59 p.m.