Triple

T3766340
Position Surface form Disambiguated ID Type / Status
Subject BMX freestyle E82685 entity
Predicate hasScoringCriterion P36515 FINISHED
Object difficulty 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: difficulty | Statement: [BMX freestyle, hasScoringCriterion, difficulty]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScoringCriterion
Context triple: [BMX freestyle, hasScoringCriterion, difficulty]
  • A. hasQualityCriterion
    Indicates that something is associated with a specific standard or criterion used to judge its quality.
  • B. isScoreFor
    Indicates that one value represents the score or result associated with a particular entity, event, or performance.
  • C. hasSubcriterion
    Indicates that a criterion includes another, more specific criterion as a subordinate part of its evaluation structure.
  • D. scoringType
    Indicates the method or criteria by which performance, outcomes, or results are evaluated and assigned a score in a given context.
  • E. evaluationCriteriaInclude chosen
    Indicates that certain criteria are part of, or explicitly included in, the set of standards used to evaluate something.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc0004608190a810ae0270ae2478 completed March 8, 2026, 7:20 p.m.
PD Predicate disambiguation batch_69adc04ec36c8190bd5b944d4f4d32aa completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:35 p.m.