Triple

T977573
Position Surface form Disambiguated ID Type / Status
Subject Super Nintendo World E21090 entity
Predicate basedOn P98 FINISHED
Object Yoshi franchise E76860 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: Yoshi franchise | Statement: [Super Nintendo World, basedOn, Yoshi franchise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yoshi franchise
Context triple: [Super Nintendo World, basedOn, Yoshi franchise]
  • A. Yoshi chosen
    Yoshi is a friendly, dinosaur-like character from Nintendo’s Mario franchise, known for his long tongue, egg-throwing abilities, and frequent role as Mario’s companion and steed.
  • B. Mario
    Mario is an American R&B singer, songwriter, and occasional actor best known for his early-2000s hits like "Let Me Love You."
  • C. Mario
    Mario is a fictional Italian plumber and the iconic protagonist of Nintendo's long-running Super Mario video game franchise.
  • D. Yoshi’s Adventure
    Yoshi’s Adventure is a family-friendly dark ride in Super Nintendo World at Universal Studios Japan that takes guests on a scenic journey atop Yoshi through colorful Mushroom Kingdom environments.
  • E. Mario Bros.
    Mario Bros. is a classic 1983 arcade platform game by Nintendo featuring Mario and Luigi battling creatures in underground sewers.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b47861808190be56a7bbd926e658 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170e8a008190a40001224f8dae2a completed March 7, 2026, 12:16 p.m.
Created at: March 1, 2026, 7:40 p.m.