Triple
T29865769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singani |
E758451
|
entity |
| Predicate | distillationProcess |
P62359
|
FINISHED |
| Object | double distillation |
—
|
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: double distillation | Statement: [Singani, distillationProcess, double distillation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distillationProcess Context triple: [Singani, distillationProcess, double distillation]
-
A.
distillationType
chosen
Indicates the specific method or process of distillation used to separate or refine substances.
-
B.
distillationSeason
Indicates the season or time of year during which a distillation process takes place.
-
C.
distilledIn
Indicates that a substance or product has been produced or purified through a distillation process carried out at a specified location or facility.
-
D.
distilleryType
Indicates the specific kind or category of distillery associated with an entity (e.g., craft, industrial, micro, or regional type).
-
E.
hasDistilleryConcentration
Indicates that a specified area or region has a particular density or concentration of distilleries.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 5:51 p.m.