Triple

T6614722
Position Surface form Disambiguated ID Type / Status
Subject European Top Five Leagues E149319 entity
Predicate financialImpact P2313 FINISHED
Object significant influence on global football transfer market prices 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 influence on global football transfer market prices | Statement: [European Top Five Leagues, financialImpact, significant influence on global football transfer market prices]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: financialImpact
Context triple: [European Top Five Leagues, financialImpact, significant influence on global football transfer market prices]
  • A. impactOnBusiness
    Indicates the effect or influence that one factor, event, or action has on a business’s performance, operations, or outcomes.
  • B. economicAspect chosen
    Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
  • C. budgetaryEffect
    Indicates the financial impact or change in budget resulting from a particular action, decision, or policy.
  • D. impactCategory
    Indicates the type or domain of effect that one entity or action has on another, classifying the nature of its impact.
  • E. economicDamage
    Indicates that one entity causes or experiences financial loss, harm, or negative economic impact as a result of another entity 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6bdb88cc881908f35648c15a7dc85 completed March 27, 2026, 5:26 p.m.
PD Predicate disambiguation batch_69c6ad007c1c8190af425f51011c7ad1 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:57 p.m.