Triple
T21207195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laphroaig Quarter Cask |
E522617
|
entity |
| Predicate | filtration |
P36260
|
FINISHED |
| Object | non-chill-filtered |
—
|
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: non-chill-filtered | Statement: [Laphroaig Quarter Cask, filtration, non-chill-filtered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filtration Context triple: [Laphroaig Quarter Cask, filtration, non-chill-filtered]
-
A.
filter
Indicates that one entity selectively includes or excludes elements of another entity based on specified criteria or conditions.
-
B.
filterType
chosen
Indicates the specific category or method of filtering that is applied to a set of items or data.
-
C.
filterSystem
Indicates that one entity functions to remove or separate unwanted components, substances, or signals from another entity or system.
-
D.
separationMedium
Indicates that one entity is separated from another by a specified medium or material through which the separation occurs.
-
E.
typeOfPurification
Indicates the specific purification method or process applied to an entity or substance.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734362c788190bc1b96d3b84c0ad1 |
completed | April 21, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:24 p.m.