Triple
T27636102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bud Light Chelada |
E696471
|
entity |
| Predicate | baseStyle |
P51375
|
FINISHED |
| Object | American light lager |
—
|
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: American light lager | Statement: [Bud Light Chelada, baseStyle, American light lager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baseStyle Context triple: [Bud Light Chelada, baseStyle, American light lager]
-
A.
baseStandard
Indicates that one entity serves as the foundational or reference standard upon which another entity is defined, measured, or evaluated.
-
B.
primaryStyle
chosen
Indicates the main or predominant style associated with an entity, distinguishing it from other secondary or supporting styles.
-
C.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
D.
structureStyle
Indicates the architectural or design style characterizing how a structure is built or formed.
-
E.
primaryBodyStyle
Indicates the main or predominant body configuration or structural form associated with an entity.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f63127da048190aed144e27b34e24e |
completed | May 2, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:23 p.m.