Triple
T17302457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caffeine Free Dr Pepper |
E420071
|
entity |
| Predicate | isSoftDrinkVariant |
P125765
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Caffeine Free Dr Pepper, isSoftDrinkVariant, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSoftDrinkVariant Context triple: [Caffeine Free Dr Pepper, isSoftDrinkVariant, yes]
-
A.
isSoftDrinkVariantOf
Indicates that one soft drink is a specific version, flavor, or formulation derived from or based on another soft drink.
-
B.
isSoftDrink
chosen
Indicates that something is classified as a soft drink, typically a non-alcoholic, carbonated or sweetened beverage.
-
C.
isPackagedBeverage
Indicates that an item is a beverage that has been contained or sealed within some form of packaging for distribution or consumption.
-
D.
hasSugarFreeVariant
Indicates that an item has a corresponding version or option that is formulated without sugar.
-
E.
containsJuice
Indicates that one entity has juice inside it or as one of its contents.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438fba938819084333764b868bd83 |
completed | April 19, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:41 a.m.