Triple
T17039513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherry Coke |
E413407
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Coke Cherry Zero Sugar |
E88019
|
NE 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: Coke Cherry Zero Sugar | Statement: [Cherry Coke, hasVariant, Coke Cherry Zero Sugar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coke Cherry Zero Sugar Context triple: [Cherry Coke, hasVariant, Coke Cherry Zero Sugar]
-
A.
Coca-Cola Zero Sugar
chosen
Coca-Cola Zero Sugar is a no-calorie soft drink introduced by The Coca-Cola Company as a sugar-free alternative that closely mimics the taste of original Coca-Cola.
-
B.
Pepsi Zero Sugar
Pepsi Zero Sugar is a zero-calorie, sugar-free cola soft drink produced by PepsiCo as an alternative to its classic Pepsi beverage.
-
C.
Diet Coke
Diet Coke is a popular sugar-free, low-calorie soft drink that serves as the primary diet cola offering from The Coca-Cola Company.
-
D.
Cherry Coke
Cherry Coke is a cherry-flavored soft drink produced by The Coca-Cola Company as a variation of its classic cola.
-
E.
Pepsi Max Cherry
Pepsi Max Cherry is a cherry-flavored, sugar-free cola variant of Pepsi Max marketed as a low-calorie soft drink.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f5844c819097eade4a2b42ab91 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5ceb048190a7f6cf2361360f90 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.