Triple

T1188574
Position Surface form Disambiguated ID Type / Status
Subject Pepsi E25303 entity
Predicate hasVariant P455 FINISHED
Object Pepsi Zero Sugar E136154 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: Pepsi Zero Sugar | Statement: [Pepsi, hasVariant, Pepsi Zero Sugar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pepsi Zero Sugar
Context triple: [Pepsi, hasVariant, Pepsi Zero Sugar]
  • A. 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.
  • B. Diet Pepsi chosen
    Diet Pepsi is a low-calorie, sugar-free cola soft drink produced by PepsiCo as an alternative to its regular 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. P-Cola
    P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
  • E. Pepsi
    Pepsi is a globally recognized carbonated soft drink brand produced by PepsiCo and known as one of the main competitors to Coca-Cola.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd568cf481908d10cf19a3ce28f3 completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f36371c8190a656463a9ae6402a completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:45 p.m.