Triple

T27643058
Position Surface form Disambiguated ID Type / Status
Subject Team Slipstream E696635 entity
Predicate antiDopingPolicy P162791 FINISHED
Object zero-tolerance approach to doping 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: zero-tolerance approach to doping | Statement: [Team Slipstream, antiDopingPolicy, zero-tolerance approach to doping]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: antiDopingPolicy
Context triple: [Team Slipstream, antiDopingPolicy, zero-tolerance approach to doping]
  • A. antiDopingPolicy chosen
    Indicates the existence or application of rules and measures designed to prevent and control the use of performance-enhancing drugs or banned substances.
  • B. antiDopingControl
    Indicates that an entity conducts, undergoes, or is associated with procedures to detect and prevent the use of prohibited performance-enhancing substances or methods.
  • C. dopingBan
    Indicates that an entity is prohibited from participating in a sport or competition due to violations of anti-doping rules.
  • D. admittedToDoping
    Indicates that an entity has confessed or acknowledged involvement in the use of prohibited performance-enhancing substances.
  • E. dopingAdmissionContext
    Indicates the circumstances or setting in which an individual acknowledges involvement in doping activities.
  • 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_69ef5909f3848190805f35b76833e722 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
PD Predicate disambiguation batch_69f63c663be481908f233d25d28713a4 completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 2:27 p.m.