Triple

T14510803
Position Surface form Disambiguated ID Type / Status
Subject Katarina Johnson-Thompson E340388 entity
Predicate hasDisciplineComponent P24108 FINISHED
Object sprints 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: sprints | Statement: [Katarina Johnson-Thompson, hasDisciplineComponent, sprints]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDisciplineComponent
Context triple: [Katarina Johnson-Thompson, hasDisciplineComponent, sprints]
  • A. hasDisciplineSystem
    Indicates that an entity possesses or is governed by a particular system of rules, methods, or practices for maintaining discipline.
  • B. hasCurriculumComponent chosen
    Indicates that one curriculum or educational program includes or is composed of a particular component, module, or element.
  • C. supportsDiscipline
    Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
  • D. hasPrimaryDisciplineStructure
    Indicates that an entity is associated with its main or principal organizational or structural form of discipline.
  • E. associatedWithDiscipline
    Indicates that an entity has a relevant connection or involvement with a particular academic, professional, or thematic discipline.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e5b7b48190878be271840c265b completed April 14, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69de5c4ccba08190a988bfda0bc9f5cb completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:21 a.m.