Triple

T15237772
Position Surface form Disambiguated ID Type / Status
Subject Rafael Kubelík E364171 entity
Predicate education P5 FINISHED
Object Prague Conservatory E342782 NE 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: Prague Conservatory | Statement: [Rafael Kubelík, education, Prague Conservatory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prague Conservatory
Context triple: [Rafael Kubelík, education, Prague Conservatory]
  • A. Prague Conservatory chosen
    Prague Conservatory is a renowned music and performing arts school in Prague, Czech Republic, known for training many prominent classical and theatrical artists.
  • B. Brno Conservatory
    Brno Conservatory is a renowned Czech music school in Brno known for training many prominent composers and performers.
  • C. Janáček Academy of Music and Performing Arts
    Janáček Academy of Music and Performing Arts is a Czech higher education institution specializing in music, theatre, and other performing arts disciplines.
  • D. Vienna Music Academy
    The Vienna Music Academy is a prestigious Austrian conservatory renowned for training world-class classical musicians and conductors.
  • E. Academy of Performing Arts in Prague
    The Academy of Performing Arts in Prague is a leading Czech university-level institution specializing in theatre, film, television, music, and dance education and research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007da7e988190925a9b67b8070bc7 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3f9d308190af5374f0362c62f5 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.