Triple
T34224292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singleton |
E878004
|
entity |
| Predicate | hasDistillerySource |
P198796
|
FINISHED |
| Object | Dufftown distillery |
—
|
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: Dufftown distillery | Statement: [Singleton, hasDistillerySource, Dufftown distillery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistillerySource Context triple: [Singleton, hasDistillerySource, Dufftown distillery]
-
A.
hasDistillery
Indicates that one entity owns, operates, or is associated with a distillery as a facility or production site.
-
B.
hasNearbyDistillery
Indicates that one entity is located close to or in the vicinity of a distillery.
-
C.
hasDistilleryConcentration
Indicates that a specified area or region has a particular density or concentration of distilleries.
-
D.
isOnlyDistilleryOn
Indicates that a distillery is the sole distillery located on a specified geographic area or entity (such as an island, region, or property).
-
E.
hasApproximateNumberOfDistilleries
Indicates that an entity is associated with an estimated or approximate count of distilleries.
- 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_69f349b16d0481908754e3069f05e0c1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69ff069ddf948190bdfe438953249dd0 |
completed | May 9, 2026, 10:04 a.m. |
Created at: May 1, 2026, 1:55 a.m.