Triple

T9427662
Position Surface form Disambiguated ID Type / Status
Subject The Red Tour E227295 entity
Predicate sponsor P67 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: [The Red Tour, sponsor, Diet Coke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diet Coke
Context triple: [The Red Tour, sponsor, 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. Chero-Cola
    Chero-Cola was the early 20th-century soft drink brand that later evolved into the better-known RC Cola.
  • E. Diet Dr Pepper
    Diet Dr Pepper is a sugar-free, low-calorie version of the Dr Pepper soft drink that maintains a similar distinctive flavor using artificial sweeteners.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c91ba1c8190b8331fb1ba58cc61 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1102f93488190bd1ae232c1e34830 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:49 p.m.