Triple
T5788265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruichladdich distillery |
E128323
|
entity |
| Predicate | ageStatements |
P51855
|
FINISHED |
| Object | various age-stated and non-age-stated whiskies |
—
|
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: various age-stated and non-age-stated whiskies | Statement: [Bruichladdich distillery, ageStatements, various age-stated and non-age-stated whiskies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageStatements Context triple: [Bruichladdich distillery, ageStatements, various age-stated and non-age-stated whiskies]
-
A.
ageStatus
Indicates the relationship between an entity and its classification into an age-related category or status (e.g., minor, adult, senior).
-
B.
ageDetail
Indicates a detailed specification of an entity’s age, such as exact value, range, or related age attributes.
-
C.
containsAge
chosen
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
D.
hasAge
Indicates that an entity possesses a specific age value, typically expressed as a number of time units since its birth or creation.
-
E.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5297c88190bd28adb2552a26f4 |
completed | March 22, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:51 p.m.