Triple

T35680728
Position Surface form Disambiguated ID Type / Status
Subject Ludvík Daněk E1031000 entity
Predicate EuropeanChampionships P26968 FINISHED
Object European Athletics Championships medalist in discus throw 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: European Athletics Championships medalist in discus throw | Statement: [Ludvík Daněk, EuropeanChampionships, European Athletics Championships medalist in discus throw]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: EuropeanChampionships
Context triple: [Ludvík Daněk, EuropeanChampionships, European Athletics Championships medalist in discus throw]
  • A. EuropeanChampionshipTitles
    Indicates the number of European Championship titles an entity has won.
  • B. wonEuropeanChampionship
    Indicates that an entity achieved first place or overall victory in a European Championship competition.
  • C. EuropeanCupTitle
    Indicates that an entity (typically a sports team or club) has won a European Cup title.
  • D. EuropeanCompetition chosen
    Indicates a relationship where an entity participates in, qualifies for, or is associated with a European-level competition or tournament.
  • E. EuropeanCupTitles
    Indicates the number of European Cup (now UEFA Champions League) titles that an entity, typically a football club, has won.
  • 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_69f76e0bb6608190ad3a1880be54a17d completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79fe983d48190915b44d890293ab6 completed May 3, 2026, 7:20 p.m.
PD Predicate disambiguation batch_69f79e4d885881908a3612e2e75cf84f completed May 3, 2026, 7:13 p.m.
Created at: May 3, 2026, 4:05 p.m.