Triple
T21289697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laphroaig 10 Year Old Cask Strength |
E524752
|
entity |
| Predicate | bottledAt |
P142592
|
FINISHED |
| Object | natural 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: natural cask strength | Statement: [Laphroaig 10 Year Old Cask Strength, bottledAt, natural cask strength]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bottledAt Context triple: [Laphroaig 10 Year Old Cask Strength, bottledAt, natural cask strength]
-
A.
bottledBy
Indicates that one entity is responsible for placing another entity into bottles or containers for packaging or distribution.
-
B.
brewedAt
Indicates that a beverage or batch was produced or brewed at a specific location or facility.
-
C.
bottlingType
chosen
Indicates the specific method or style in which a liquid product is bottled or packaged.
-
D.
bottledNear
Indicates that one entity was bottled at a location that is geographically close to another specified entity or location.
-
E.
oftenBottledIn
Indicates that something is frequently or customarily contained or packaged in bottles.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d9467881908ec5b1dec76e6f5d |
completed | April 21, 2026, 8:35 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:03 p.m.