Triple
T18486151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aberfeldy Distillery |
E451694
|
entity |
| Predicate | styleOfWhisky |
P131858
|
FINISHED |
| Object | rich, honeyed Highland single malt |
—
|
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: rich, honeyed Highland single malt | Statement: [Aberfeldy Distillery, styleOfWhisky, rich, honeyed Highland single malt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleOfWhisky Context triple: [Aberfeldy Distillery, styleOfWhisky, rich, honeyed Highland single malt]
-
A.
distilleryType
Indicates the specific kind or category of distillery associated with an entity (e.g., craft, industrial, micro, or regional type).
-
B.
wineStyleContribution
Indicates how much a given factor or component influences or shapes the overall style or character of a wine.
-
C.
wineStyle
Indicates the stylistic category or type of wine (such as its production style, sweetness, body, or other defining characteristics) associated with an entity.
-
D.
beerStyle
Indicates that one entity is the style or type classification of a beer associated with another entity.
-
E.
distilledIn
Indicates that a substance or product has been produced or purified through a distillation process carried out at a specified location or facility.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d722808190a97828cae8e3846e |
completed | April 19, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:35 a.m.