Triple
T5644904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagavulin distillery |
E124360
|
entity |
| Predicate | caskTypeUsed |
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: [Lagavulin distillery, caskTypeUsed, ex-bourbon casks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caskTypeUsed Context triple: [Lagavulin distillery, caskTypeUsed, ex-bourbon casks]
-
A.
caskTypesUsed
chosen
Indicates that certain types of casks are used in relation to a given entity or process.
-
B.
packageType
Indicates the classification or category of packaging associated with an item or shipment.
-
C.
typicalCaskType
Indicates the usual or most commonly used type of cask associated with a given entity or context.
-
D.
appliesToProductType
Indicates that something (such as a rule, offer, or condition) is relevant or applicable specifically to a certain type or category of product.
-
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.
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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022a8eccc8190837d4705670dc25e |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:41 p.m.