Triple
T34052718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antique Collection whiskeys |
E873265
|
entity |
| Predicate | hasExpressionType |
P74761
|
FINISHED |
| Object | cask strength whiskey |
—
|
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 whiskey | Statement: [Antique Collection whiskeys, hasExpressionType, cask strength whiskey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExpressionType Context triple: [Antique Collection whiskeys, hasExpressionType, cask strength whiskey]
-
A.
hasExpression
Indicates that an entity displays or possesses a particular facial or emotional expression.
-
B.
supportsExpressionType
Indicates that one entity is capable of handling, processing, or being compatible with a specified type of expression.
-
C.
hasExpressionIn
Indicates that one entity is manifested, represented, or realized within another entity, typically as a specific form, version, or expression.
-
D.
typeOfExpression
chosen
Indicates that one entity is classified as a specific kind or category of expression represented by the other entity.
-
E.
hasLocalExpression
Indicates that something has a specific form, representation, or manifestation that is valid or defined only within a particular local context or region.
- 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_69f349a3ec2c8190b62da76e54231a0f |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 1, 2026, 1:52 a.m.