Triple

T199948
Position Surface form Disambiguated ID Type / Status
Subject Pepsi Wave Swinger E4081 entity
Predicate name P16 FINISHED
Object Pepsi Wave Swinger E4081 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 Wave Swinger | Statement: [Pepsi Wave Swinger, name, Pepsi Wave Swinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pepsi Wave Swinger
Context triple: [Pepsi Wave Swinger, name, Pepsi Wave Swinger]
  • A. Pepsi Wave Swinger chosen
    Pepsi Wave Swinger is a colorful, family-friendly swing ride located on Chicago’s Navy Pier.
  • B. Philortyx
    Philortyx is a genus of New World quails known for their ground-dwelling habits and occurrence in scrub and grassland habitats of the Americas.
  • C. Coolamon
    Coolamon is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural heritage and historic streetscape.
  • D. Koop
    Koop is a surname most prominently associated with C. Everett Koop, the influential former Surgeon General of the United States.
  • E. World of Coca-Cola
    World of Coca-Cola is an Atlanta-based museum and attraction dedicated to the history, branding, and global culture of the Coca-Cola 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_69a254bca59881909a15e1496f1508c7 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25bcc6dc88190b8c24b485588dfe4 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a31c9530a88190b04a08b521fcd207 completed Feb. 28, 2026, 4:49 p.m.
Created at: Feb. 28, 2026, 2:44 a.m.