Triple
T17152808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanilla Coke |
E416263
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Coke Zero Vanilla |
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 Zero Vanilla | Statement: [Vanilla Coke, hasVariant, Coke Zero Vanilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coke Zero Vanilla Context triple: [Vanilla Coke, hasVariant, Coke Zero Vanilla]
-
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.
Vanilla Coke
Vanilla Coke is a flavored soft drink produced by The Coca-Cola Company that combines the taste of classic Coca-Cola with vanilla.
-
D.
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.
-
E.
Pepsi Vanilla
Pepsi Vanilla is a flavored cola soft drink that combines the classic taste of Pepsi with added vanilla flavoring.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40861e08190bad1a3ec87691132 |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01415d19288190beb3c94da2ce8c0e |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.