Triple
T7891869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bud Light |
E183253
|
entity |
| Predicate | carbohydratesPer12Ounces |
P79597
|
FINISHED |
| Object | approximately 6.6 grams |
—
|
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: approximately 6.6 grams | Statement: [Bud Light, carbohydratesPer12Ounces, approximately 6.6 grams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carbohydratesPer12Ounces Context triple: [Bud Light, carbohydratesPer12Ounces, approximately 6.6 grams]
-
A.
hasCalories
Indicates that an entity contains a specified amount of caloric energy.
-
B.
hasSugarContent
Indicates that one entity possesses or contains a specified amount or level of sugar.
-
C.
typicalFatContent
Indicates the usual or characteristic amount of fat contained in something, such as a food or product.
-
D.
hasSugarFreeVariant
Indicates that an item has a corresponding version or option that is formulated without sugar.
-
E.
typicalSweetnessLevel
Indicates the usual or characteristic degree of sweetness associated with something.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39fef2e48190a6282c217c33c57a |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 5 p.m.