Triple

T35402219
Position Surface form Disambiguated ID Type / Status
Subject Ricky Craven E1023264 entity
Predicate hasVictoryMarginDescription P155425 FINISHED
Object famously close finish at Darlington in 2003 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: famously close finish at Darlington in 2003 | Statement: [Ricky Craven, hasVictoryMarginDescription, famously close finish at Darlington in 2003]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVictoryMarginDescription
Context triple: [Ricky Craven, hasVictoryMarginDescription, famously close finish at Darlington in 2003]
  • A. defeatedByMargin
    Indicates that one entity was defeated by another with a specified numerical margin or difference in score, votes, or performance.
  • B. resultMarginDescription chosen
    Indicates the textual description of how large or small the margin or difference was between compared results.
  • C. marginOfVictoryCategory
    Indicates the qualitative range or bracket into which the size of a victory’s point/score difference falls.
  • D. marginOfVictoryPercentage
    Indicates the percentage difference between the winner’s and the runner-up’s scores or votes in a contest or competition.
  • E. hasOvertimeWinningMargin
    Indicates that one competitor’s margin of victory over another was achieved specifically during an overtime period.
  • 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_69f76df43ca4819098711ca4370f1bb9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd474b7e788190a9bb9b542d878f60 completed May 8, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69fd46d8b2f0819099d92d72c902f60e completed May 8, 2026, 2:13 a.m.
Created at: May 3, 2026, 4:03 p.m.