Triple
T32456704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busch Ice |
E829447
|
entity |
| Predicate | alcoholContentComparedToBusch |
P163342
|
FINISHED |
| Object | higher |
—
|
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: higher | Statement: [Busch Ice, alcoholContentComparedToBusch, higher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alcoholContentComparedToBusch Context triple: [Busch Ice, alcoholContentComparedToBusch, higher]
-
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.
isLowerAlcoholVersionOf
Indicates that one beverage or alcoholic product is a version of another that contains a lower alcohol content.
-
C.
alcoholByVolumeApprox
Indicates an approximate measurement of the proportion of alcohol by volume contained in a beverage or liquid.
-
D.
beerColor
Indicates the color characteristic associated with a particular beer.
-
E.
bottlingStrengthRange
Indicates the range of alcohol strengths at which a beverage is bottled.
- 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c318c8a081908c0a2cc4464dd9d2 |
completed | May 3, 2026, 3:38 a.m. |
| PD | Predicate disambiguation | batch_69f6ba700a708190ab6db62791e43774 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:56 a.m.