Triple
T31481413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bushmills Causeway Collection |
E803153
|
entity |
| Predicate | includesCaskType |
P62362
|
FINISHED |
| Object | port cask finish |
—
|
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: port cask finish | Statement: [Bushmills Causeway Collection, includesCaskType, port cask finish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCaskType Context triple: [Bushmills Causeway Collection, includesCaskType, port cask finish]
-
A.
typicalCaskType
Indicates the usual or most commonly used type of cask associated with a given entity or context.
-
B.
caskTypesUsed
chosen
Indicates that certain types of casks are used in relation to a given entity or process.
-
C.
numberOfCaskTypes
Indicates the quantity of distinct cask types associated with or used in relation to an entity.
-
D.
includesFeatureTypes
Indicates that an entity contains or encompasses specific types of features as part of its composition or definition.
-
E.
supportsGrapeType
Indicates that one entity provides suitable conditions or compatibility for cultivating or using a particular grape type.
- 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_69f348c9477c8190bc0a21f6d482d2fc |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a013a251b4081908b43d85dd95586c5 |
completed | May 11, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_6a0137e4ea988190812173a5ff044098 |
completed | May 11, 2026, 1:59 a.m. |
Created at: April 30, 2026, 9:32 p.m.