Triple
T20781098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Ellen Distillery |
E511480
|
entity |
| Predicate | bottlingsOften |
P69107
|
FINISHED |
| Object | cask strength |
—
|
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: cask strength | Statement: [Port Ellen Distillery, bottlingsOften, cask strength]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bottlingsOften Context triple: [Port Ellen Distillery, bottlingsOften, cask strength]
-
A.
oftenBottledIn
Indicates that something is frequently or customarily contained or packaged in bottles.
-
B.
bottledBy
Indicates that one entity is responsible for placing another entity into bottles or containers for packaging or distribution.
-
C.
bottledNear
Indicates that one entity was bottled at a location that is geographically close to another specified entity or location.
-
D.
typicalBottleCount
Indicates the usual or standard number of bottles associated with something under normal conditions.
-
E.
bottlingStrengthRange
chosen
Indicates the range of alcohol strengths at which a beverage is bottled.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c287b5288190823766fe59402d48 |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:37 p.m.