Triple
T4087117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scotch whisky |
E87613
|
entity |
| Predicate | minimumBottlingStrength |
P52920
|
FINISHED |
| Object | 40% ABV |
—
|
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: 40% ABV | Statement: [Scotch whisky, minimumBottlingStrength, 40% ABV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumBottlingStrength Context triple: [Scotch whisky, minimumBottlingStrength, 40% ABV]
-
A.
grapeMinimum
Indicates the minimum quantity, size, or threshold value associated with grapes in a given context.
-
B.
hasBitternessLevel
Indicates that an entity is associated with a specific degree or intensity of bitterness.
-
C.
minimumMalbecPercentage
Indicates the minimum required percentage of Malbec in a composition, blend, or product for a given rule or classification to apply.
-
D.
minimumContribution
Indicates the smallest allowable or required amount that an entity must contribute in a given context or relationship.
-
E.
minStorageCapacity
Indicates the minimum storage capacity required, allowed, or guaranteed in a given context or relationship.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7ceeb48190807f0f5078ccfa12 |
completed | March 9, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef9b34dec81909bbc3def9decc71a |
completed | March 9, 2026, 4:47 p.m. |
Created at: March 9, 2026, 3:39 p.m.