Triple
T7426219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Bull Sugarfree |
E171374
|
entity |
| Predicate | hasServingSize |
P3664
|
FINISHED |
| Object | 250 ml can |
—
|
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: 250 ml can | Statement: [Red Bull Sugarfree, hasServingSize, 250 ml can]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasServingSize Context triple: [Red Bull Sugarfree, hasServingSize, 250 ml can]
-
A.
hasCalories
Indicates that an entity contains a specified amount of caloric energy.
-
B.
isServed
Indicates that one entity provides or delivers a service, product, or assistance to another entity.
-
C.
hasMainIngredient
Indicates that one entity is the primary or most significant ingredient used to make another entity.
-
D.
typicalUnitSize
chosen
Indicates the standard or most common size or quantity in which something is typically measured, packaged, or used.
-
E.
servesUse
Indicates that one entity is used by or functions to serve the purpose or needs of another 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f303eb988190ba9df7946fce1c86 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f03648d08190b862d07fef71210c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:12 p.m.