Triple
T22548233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distell Group |
E557486
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Deanston |
—
|
NE NERFINISHED |
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: Deanston | Statement: [Distell Group, brand, Deanston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deanston Context triple: [Distell Group, brand, Deanston]
-
A.
Deanston
chosen
Deanston is a small Scottish village on the River Teith best known for its historic cotton mill and whisky distillery.
-
B.
Aberlour
Aberlour is a Speyside village in Moray, Scotland, best known for its whisky distillery and picturesque setting on the River Spey.
-
C.
Glenrothes
Glenrothes is a planned new town in central Fife, Scotland, serving as an administrative and commercial hub for the surrounding region.
-
D.
Benromach
Benromach is a traditional Speyside single malt Scotch whisky distillery known for its lightly peated style and handcrafted production methods.
-
E.
Bunnahabhain
Bunnahabhain is a remote coastal village on the northeast coast of Islay in Scotland, best known for its historic Bunnahabhain Distillery and maritime whisky heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 8:52 p.m.