Triple

T5755237
Position Surface form Disambiguated ID Type / Status
Subject NASCAR Mexico Series E126948 entity
Predicate hasPointsSystem P64949 FINISHED
Object season-long points championship LITERAL 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: season-long points championship | Statement: [NASCAR Mexico Series, hasPointsSystem, season-long points championship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPointsSystem
Context triple: [NASCAR Mexico Series, hasPointsSystem, season-long points championship]
  • A. usesPointsSystem chosen
    Indicates that an entity operates or functions based on a structured points-based system for evaluation, rewards, or progression.
  • B. hasBadgeSystem
    Indicates that an entity includes or supports a badge-based system for recognizing or tracking achievements, statuses, or milestones.
  • C. hasExerciseRewardSystem
    Indicates that an entity implements or is associated with a system that provides rewards or incentives for performing exercise or physical activity.
  • D. hasPASystem
    Indicates that an entity possesses or is equipped with a public address (PA) system.
  • E. pointsEarnedFrom
    Indicates the number of points that an entity has received as a result of another specified source, action, or event.
  • F. None of above.

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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02904dcf481909e4340a64ee1034e completed March 22, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69c021cc68648190bb86d049ebe80f12 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:49 p.m.