Triple
T5788261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruichladdich distillery |
E128323
|
entity |
| Predicate | hasPeatingLevelRange |
P65842
|
FINISHED |
| Object | unpeated to super heavily peated |
—
|
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: unpeated to super heavily peated | Statement: [Bruichladdich distillery, hasPeatingLevelRange, unpeated to super heavily peated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeatingLevelRange Context triple: [Bruichladdich distillery, hasPeatingLevelRange, unpeated to super heavily peated]
-
A.
hasBitternessLevel
Indicates that an entity is associated with a specific degree or intensity of bitterness.
-
B.
tanninLevel
Indicates the degree or intensity of tannins present in or associated with something, typically a beverage like wine or tea.
-
C.
allowsTastingOf
Indicates that one entity permits another entity to sample or try the taste of something.
-
D.
nicotineLevel
Indicates the amount or concentration of nicotine present in or associated with an entity.
-
E.
distillationType
Indicates the specific method or process of distillation used to separate or refine substances.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5297c88190bd28adb2552a26f4 |
completed | March 22, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c024861bc88190a17782c1982fbb3e |
completed | March 22, 2026, 5:19 p.m. |
Created at: March 22, 2026, 3:51 p.m.