Triple

T22690857
Position Surface form Disambiguated ID Type / Status
Subject Video Assistant Referee system E561045 entity
Predicate reviewPrinciple P33073 FINISHED
Object clear and obvious error 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: clear and obvious error | Statement: [Video Assistant Referee system, reviewPrinciple, clear and obvious error]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reviewPrinciple
Context triple: [Video Assistant Referee system, reviewPrinciple, clear and obvious error]
  • A. principleClarified
    Indicates that a principle has been made clearer or more explicit, typically by explanation, refinement, or elaboration.
  • B. principle6
    Indicates that one entity upholds, follows, or is governed by a specific sixth principle in a defined set of principles.
  • C. principle7
    Indicates that an entity is associated with, governed by, or exemplifies the seventh principle in a defined set of principles.
  • D. principle1
    Indicates that one entity serves as a primary rule, guideline, or foundational principle governing or guiding another entity.
  • E. testsPrinciple chosen
    Indicates that an entity evaluates, examines, or challenges the validity or applicability of a principle.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789adcc48190b4a717166d5dba19 completed April 29, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69ee62b2259c819091ed1387a748b9f3 completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:13 p.m.