Triple

T25207041
Position Surface form Disambiguated ID Type / Status
Subject James Faulkner took 3 wickets for 36 runs E631280 entity
Predicate contributionToResult P1993 FINISHED
Object significant 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: significant | Statement: [James Faulkner took 3 wickets for 36 runs, contributionToResult, significant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contributionToResult
Context triple: [James Faulkner took 3 wickets for 36 runs, contributionToResult, significant]
  • A. contributeTo chosen
    Indicates that one entity provides support, resources, or effort that helps bring about, enhance, or maintain another entity, outcome, or state.
  • B. contributionToWork
    Indicates a relationship where an entity has provided effort, input, or resources that help create, develop, or complete a particular work.
  • C. contributionBased
    Indicates that something is determined, allocated, or structured according to the level or amount of contributions made by the involved entities.
  • D. showsContributionTo
    Indicates that one entity demonstrates, reveals, or provides evidence of another entity’s contribution to something.
  • E. contributionBase
    Indicates the foundational amount, value, or resource on which a contribution, payment, or benefit is calculated or determined.
  • 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_69e75a8b86c4819089eda22c843b739f completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f638d11c988190af7fd4572b08e038 completed May 2, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69f63706b6008190993577193c85ff50 completed May 2, 2026, 5:40 p.m.
Created at: April 21, 2026, 12:52 p.m.