Triple
T5245231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardbeg distillery |
E118441
|
entity |
| Predicate | caskTypesUsed |
P62362
|
FINISHED |
| Object | ex-bourbon casks |
—
|
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: ex-bourbon casks | Statement: [Ardbeg distillery, caskTypesUsed, ex-bourbon casks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caskTypesUsed Context triple: [Ardbeg distillery, caskTypesUsed, ex-bourbon casks]
-
A.
packageType
Indicates the classification or category of packaging associated with an item or shipment.
-
B.
appliesToProductType
Indicates that something (such as a rule, offer, or condition) is relevant or applicable specifically to a certain type or category of product.
-
C.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
D.
hasPackageType
Indicates that an entity is associated with or classified under a particular type or category of package.
-
E.
usesToolType
Indicates that an entity performs an action or fulfills a role by employing a specific type or category of tool.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b515edc8190a9db198d4eb1c4f6 |
completed | March 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79e9d794819097bb628c603d14af |
completed | March 20, 2026, 4:46 p.m. |
Created at: March 20, 2026, 1:49 p.m.