Triple
T6240850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagg Distillery |
E139594
|
entity |
| Predicate | distilleryType |
P69724
|
FINISHED |
| Object | single malt distillery |
—
|
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: single malt distillery | Statement: [Lagg Distillery, distilleryType, single malt distillery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distilleryType Context triple: [Lagg Distillery, distilleryType, single malt distillery]
-
A.
distillationType
Indicates the specific method or process of distillation used to separate or refine substances.
-
B.
hasDistillery
Indicates that one entity owns, operates, or is associated with a distillery as a facility or production site.
-
C.
breweryType
Indicates the specific category or classification of a brewery based on its operational or business characteristics.
-
D.
hasNearbyDistillery
Indicates that one entity is located close to or in the vicinity of a distillery.
-
E.
alcoholType
Indicates the specific kind or category of alcohol associated with an entity (e.g., beer, wine, spirits).
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0630797f88190a5571f6000ba2e3b |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c05601de6481909d0880048fd7b49a |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c05707d5408190a1d0fd80414ad957 |
completed | March 22, 2026, 8:54 p.m. |
Created at: March 22, 2026, 4:23 p.m.