Triple
T23478822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunnahabhain 12 Year Old |
E570343
|
entity |
| Predicate | isChillFiltered |
P141255
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Bunnahabhain 12 Year Old, isChillFiltered, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isChillFiltered Context triple: [Bunnahabhain 12 Year Old, isChillFiltered, false]
-
A.
nonChillFiltered
chosen
Indicates that a beverage, typically a spirit, has not undergone chill filtration to remove particles or compounds before bottling.
-
B.
isFilteredCigarette
Indicates that a cigarette has a filter attached or incorporated for smoke filtration.
-
C.
usesFilter
Indicates that one entity applies or employs a filter (such as a criterion, condition, or processing mechanism) to another entity or set of data.
-
D.
isFlavored
Indicates that one entity imparts a particular taste or flavor characteristic to another entity.
-
E.
isSmokeless
Indicates that something does not produce smoke or is free from smoking-related emissions or activity.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74e7e648190b89006dce7d7ce05 |
completed | April 29, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:02 p.m.