Triple
T21044137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardbeg Wee Beastie |
E518405
|
entity |
| Predicate | bottlingType |
P142592
|
FINISHED |
| Object | original bottling |
—
|
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: original bottling | Statement: [Ardbeg Wee Beastie, bottlingType, original bottling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bottlingType Context triple: [Ardbeg Wee Beastie, bottlingType, original bottling]
-
A.
bottlingMaterial
Indicates the material from which a container or bottle used for holding a product is made.
-
B.
bottledBy
Indicates that one entity is responsible for placing another entity into bottles or containers for packaging or distribution.
-
C.
bottleFeature
Indicates that a bottle possesses or is characterized by a particular feature or attribute.
-
D.
bottlingStrengthRange
Indicates the range of alcohol strengths at which a beverage is bottled.
-
E.
bottleSize
Indicates the capacity or volume classification associated with a particular bottle.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf2fc4881909b9e3400864e6b82 |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:20 p.m.