Triple
T22266236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caol Ila Cask Strength releases |
E550356
|
entity |
| Predicate | smokeProfile |
P147602
|
FINISHED |
| Object | clean, medicinal peat smoke |
—
|
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: clean, medicinal peat smoke | Statement: [Caol Ila Cask Strength releases, smokeProfile, clean, medicinal peat smoke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smokeProfile Context triple: [Caol Ila Cask Strength releases, smokeProfile, clean, medicinal peat smoke]
-
A.
smokeLevel
Indicates the intensity or concentration of smoke present in or produced by an entity or environment.
-
B.
smokeCharacter
Indicates that one entity is characterized by or associated with smoking behavior or traits.
-
C.
smokeUse
Indicates that an entity uses or consumes tobacco or other substances by smoking.
-
D.
smokeImpact
Indicates the effect or influence that smoke has on a target entity or condition.
-
E.
smokeColor
Indicates the color attribute associated with a given instance of smoke.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bc458c81909837373d749b915d |
completed | April 28, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69e72ff0363081909f794d19c8a64837 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:39 p.m.