Triple
T22548329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunnahabhain Toiteach a Dhà |
E557488
|
entity |
| Predicate | usesSherryCasks |
P148608
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bunnahabhain Toiteach a Dhà, usesSherryCasks, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSherryCasks Context triple: [Bunnahabhain Toiteach a Dhà, usesSherryCasks, true]
-
A.
secondMaturationCask
Indicates that an entity undergoes a second maturation phase in the specified cask.
-
B.
hasCellars
Indicates that one entity possesses or contains one or more cellars associated with it.
-
C.
firstMaturationCask
Indicates that an alcoholic beverage undergoes its initial maturation or aging process in the specified cask.
-
D.
wineAgeingPreference
Indicates a preference for how long wine should be aged before consumption or use.
-
E.
usesVermouthType
Indicates that one entity employs or incorporates a specific type of vermouth in its preparation or composition.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f372df48190ae5dd461b1230bc7 |
completed | April 29, 2026, 1:30 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa3b4c288190951cca06d42bea51 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:52 p.m.