Triple

T3626899
Position Surface form Disambiguated ID Type / Status
Subject Yoshi E76860 entity
Predicate canRideBy P49621 FINISHED
Object Mario E31492 NE FINISHED

How this triple was built (3 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: Mario | Statement: [Yoshi, canRideBy, Mario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario
Context triple: [Yoshi, canRideBy, Mario]
  • A. Mario chosen
    Mario is a fictional Italian plumber and the iconic protagonist of Nintendo's long-running Super Mario video game franchise.
  • 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 vs. Donkey Kong series
    The Mario vs. Donkey Kong series is a puzzle-platform video game franchise in which Mario navigates intricate, toy-themed levels to outwit Donkey Kong and solve object-based challenges.
  • D. Mario & Luigi
    Mario & Luigi is a role-playing video game series by Nintendo that follows the comedic, cooperative adventures of Mario and his brother Luigi.
  • E. Super Mario series
    The Super Mario series is Nintendo’s flagship platform game franchise starring Mario in a wide variety of adventures across imaginative worlds.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canRideBy
Context triple: [Yoshi, canRideBy, Mario]
  • A. hasRideCycle
    Indicates that one entity is associated with, or participates in, a recurring sequence or cycle of rides or ride operations.
  • B. motorizedUse
    Indicates that an entity is used or operated by means of a motor or engine, rather than by human or animal power.
  • C. canOperateHelicopterType
    Indicates that one entity has the ability, qualification, or authorization to operate or pilot a specified type of helicopter.
  • D. isHelicopterOf
    Indicates that one entity is a helicopter that belongs to, is operated by, or is otherwise associated with another entity.
  • E. ridingSpecialty
    Indicates that one entity has a particular area of expertise or focus related to riding (e.g., a specific riding style, discipline, or type).
  • F. None of above. chosen

Provenance (5 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2dc011c8190a6596f4b483fb078 completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a826850c8190b7c6853e12d09606 completed March 14, 2026, 6:25 p.m.
PD Predicate disambiguation batch_69adb8410a5881909c94818d7060b2b0 completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb902e61c81908f10494f828e260f completed March 8, 2026, 5:59 p.m.
Created at: March 8, 2026, 3:23 p.m.