Triple
T36617904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labatt Blue Light |
E903653
|
entity |
| Predicate | alcoholContentRelativeToRegularBeer |
P163342
|
FINISHED |
| Object | lower |
—
|
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: lower | Statement: [Labatt Blue Light, alcoholContentRelativeToRegularBeer, lower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alcoholContentRelativeToRegularBeer Context triple: [Labatt Blue Light, alcoholContentRelativeToRegularBeer, lower]
-
A.
alcoholContentRelativeTo
chosen
Indicates that the alcohol content of one entity is compared to or expressed in relation to the alcohol content of another entity.
-
B.
alcoholByVolumeApprox
Indicates an approximate measurement of the proportion of alcohol by volume contained in a beverage or liquid.
-
C.
beerColor
Indicates the color characteristic associated with a particular beer.
-
D.
alcoholStrengthCategory
Indicates the classification of an alcoholic beverage based on the strength or concentration of its alcohol content.
-
E.
isLowerAlcoholVersionOf
Indicates that one beverage or alcoholic product is a version of another that contains a lower alcohol content.
- 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_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.