Triple

T7262136
Position Surface form Disambiguated ID Type / Status
Subject Russian Premier League E159679 entity
Predicate disciplinarySystem P53691 FINISHED
Object yellow and red cards 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: yellow and red cards | Statement: [Russian Premier League, disciplinarySystem, yellow and red cards]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: disciplinarySystem
Context triple: [Russian Premier League, disciplinarySystem, yellow and red cards]
  • A. disciplinaryFunction chosen
    Indicates a relationship where an entity serves to enforce rules, maintain order, or administer corrective measures within a system or organization.
  • B. subDisciplineOf
    Indicates that one discipline is a more specialized or narrower field within another, broader discipline.
  • C. hasAcademicSystem
    Indicates that an entity is associated with or operates under a particular academic or educational system.
  • D. dimensionOfStudy
    Indicates the specific field, aspect, or perspective that characterizes or structures a particular study or research activity.
  • E. housesAcademicDiscipline
    Indicates that an entity serves as the location or institutional home where a particular academic discipline is based, organized, or conducted.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb088dac8190b353f6ea3d686025 completed March 27, 2026, 8:39 p.m.
PD Predicate disambiguation batch_69c6e76876608190ac4652bc7153302e completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:57 p.m.