Triple

T32463141
Position Surface form Disambiguated ID Type / Status
Subject Jorginho E829629 entity
Predicate penaltyTechnique P104231 FINISHED
Object hop-step penalty run-up 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: hop-step penalty run-up | Statement: [Jorginho, penaltyTechnique, hop-step penalty run-up]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: penaltyTechnique
Context triple: [Jorginho, penaltyTechnique, hop-step penalty run-up]
  • A. penaltyTechniqueName chosen
    Indicates the specific technique or method used to execute a penalty.
  • B. penaltyMechanism
    Indicates a relationship where a rule, system, or process imposes a negative consequence or sanction in response to certain actions or conditions.
  • C. penaltyRules
    Indicates the rules or conditions under which penalties are defined, applied, or enforced in a given context.
  • D. penaltyMagnitude
    Indicates the size or severity of a penalty imposed in a given situation or relationship.
  • E. penaltyProvision
    Indicates that a rule, contract, or law includes a clause specifying a punishment or sanction for non-compliance or violation.
  • 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_69f3491ee87c81908cbf5890079c2af6 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c34f15c88190a2cf86631d80ae35 completed May 3, 2026, 3:38 a.m.
PD Predicate disambiguation batch_69f6ba700a708190ab6db62791e43774 completed May 3, 2026, 3:01 a.m.
Created at: May 1, 2026, 12:57 a.m.