Triple
T3889322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coca-Cola Zero Sugar |
E88019
|
entity |
| Predicate | isAlternativeTo |
P5887
|
FINISHED |
| Object | Diet Coke |
E86588
|
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: Diet Coke | Statement: [Coca-Cola Zero Sugar, isAlternativeTo, Diet Coke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diet Coke Context triple: [Coca-Cola Zero Sugar, isAlternativeTo, Diet Coke]
-
A.
Diet Coke
chosen
Diet Coke is a popular sugar-free, low-calorie soft drink that serves as the primary diet cola offering from The Coca-Cola Company.
-
B.
Diet Pepsi
Diet Pepsi is a low-calorie, sugar-free cola soft drink produced by PepsiCo as an alternative to its regular Pepsi beverage.
-
C.
Coca-Cola Zero Sugar
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.
-
D.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
-
E.
Pepsi Lime
Pepsi Lime is a citrus-flavored variation of the Pepsi soft drink that combines cola with a hint of lime.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecaee7148190ada451ccfc6582ee |
completed | March 9, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52848b5688190aa49774dcd037097 |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:21 p.m.