Triple
T6240844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagg Distillery |
E139594
|
entity |
| Predicate | usesStillsType |
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: [Lagg Distillery, usesStillsType, copper pot stills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesStillsType Context triple: [Lagg Distillery, usesStillsType, copper pot stills]
-
A.
typeOfStills
Indicates that one entity is a specific kind or category of stills (e.g., a particular type or style within the broader class of still images or still photography).
-
B.
hasNumberOfStills
Indicates that an entity is associated with a specific count of still images or frames.
-
C.
numberOfStills
Indicates the quantity of still images associated with or contained in a given entity or context.
-
D.
typicalStillType
chosen
Indicates that something represents the usual or characteristic form, style, or configuration that an entity typically has or uses.
-
E.
usesFootageType
Indicates that one entity employs or incorporates a particular type or category of footage in its content or production.
- 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_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. |
Created at: March 22, 2026, 4:23 p.m.