Triple
T5917290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunnahabhain distillery |
E131610
|
entity |
| Predicate | hasTypeOfStills |
P52925
|
FINISHED |
| Object | copper pot stills |
—
|
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: copper pot stills | Statement: [Bunnahabhain distillery, hasTypeOfStills, copper pot stills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfStills Context triple: [Bunnahabhain distillery, hasTypeOfStills, copper pot stills]
-
A.
hasNumberOfStills
Indicates that an entity is associated with a specific count of still images or frames.
-
B.
numberOfStills
Indicates the quantity of still images associated with or contained in a given entity or context.
-
C.
typicalStillType
chosen
Indicates that something represents the usual or characteristic form, style, or configuration that an entity typically has or uses.
-
D.
hasWashStills
Indicates that an entity possesses or is equipped with wash stills used in distillation.
-
E.
hasImageType
Indicates that an entity is associated with an image of a particular type or format.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c048fc112c8190b905bf561c9de096 |
completed | March 22, 2026, 7:54 p.m. |
| PD | Predicate disambiguation | batch_69c03352208c8190968efed05a9fd416 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:59 p.m.