Triple

T7426274
Position Surface form Disambiguated ID Type / Status
Subject Red Bull Editions E171375 entity
Predicate hasVariant P455 FINISHED
Object Red Bull Red Edition E171375 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: Red Bull Red Edition | Statement: [Red Bull Editions, hasVariant, Red Bull Red Edition]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Bull Red Edition
Context triple: [Red Bull Editions, hasVariant, Red Bull Red Edition]
  • A. Red Bull Editions chosen
    Red Bull Editions are a line of flavored energy drinks that expand the original Red Bull brand with various taste profiles and colored variants.
  • B. RC Cola
    RC Cola is a long-standing American soft drink brand known as an alternative cola competitor to giants like Coca-Cola and Pepsi.
  • C. Red Bull GmbH
    Red Bull GmbH is an Austrian beverage company best known for its Red Bull energy drink and extensive global sports sponsorships and team ownerships.
  • D. Pepsi Max Raspberry
    Pepsi Max Raspberry is a sugar-free, raspberry-flavoured cola variant of the Pepsi Max soft drink line.
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f303eb988190ba9df7946fce1c86 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f09787c819090b8be24070a7105 completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:12 p.m.