Triple
T12284955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow Mule |
E292804
|
entity |
| Predicate | hasTypicalAlcoholByVolumeRange |
P69107
|
FINISHED |
| Object | 10–15% 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: 10–15% ABV | Statement: [Moscow Mule, hasTypicalAlcoholByVolumeRange, 10–15% ABV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalAlcoholByVolumeRange Context triple: [Moscow Mule, hasTypicalAlcoholByVolumeRange, 10–15% ABV]
-
A.
isAlcoholicBeverage
Indicates that a beverage contains alcohol and is classified as an alcoholic drink.
-
B.
bottlingStrengthRange
chosen
Indicates the range of alcohol strengths at which a beverage is bottled.
-
C.
alcoholType
Indicates the specific kind or category of alcohol associated with an entity (e.g., beer, wine, spirits).
-
D.
higherMinimumAlcoholThan
Indicates that the minimum required or actual alcohol content of one entity is greater than that of another entity.
-
E.
beerColor
Indicates the color characteristic associated with a particular beer.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9261e1570819084bb4fdb44aa6aea |
completed | April 10, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69d91c4d9a9c8190aeb7beaf9792d8f0 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.