Triple

T19615993
Position Surface form Disambiguated ID Type / Status
Subject Eugène Ysaÿe E470859 entity
Predicate taughtAt P1203 FINISHED
Object Conservatoire Royal de Liège NE NERFINISHED

How this triple was built (3 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: Conservatoire Royal de Liège | Statement: [Eugène Ysaÿe, taughtAt, Conservatoire Royal de Liège]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conservatoire Royal de Liège
Context triple: [Eugène Ysaÿe, taughtAt, Conservatoire Royal de Liège]
  • A. Royal Conservatory of Brussels
    The Royal Conservatory of Brussels is a prestigious Belgian music institution renowned for training many prominent composers and performers.
  • B. Lyon Conservatory
    Lyon Conservatory is a prestigious French music institution known for training distinguished classical musicians and performers.
  • C. Lausanne Conservatory
    Lausanne Conservatory is a prominent music and performing arts school in Lausanne, Switzerland, known for training musicians across a wide range of classical and contemporary disciplines.
  • D. Conservatoire de Paris
    The Conservatoire de Paris is a prestigious French higher education institution renowned for training many of the world’s leading composers, performers, and conductors in classical music and related arts.
  • E. École de musique Vincent-d’Indy
    École de musique Vincent-d’Indy is a renowned Montreal music conservatory known for its rigorous classical training and influential role in shaping Canadian musicians.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Conservatoire Royal de Liège
Target entity description: The Conservatoire Royal de Liège is a prestigious Belgian music and performing arts conservatory renowned for training prominent musicians and composers.
  • A. Royal Conservatory of Brussels
    The Royal Conservatory of Brussels is a prestigious Belgian music institution renowned for training many prominent composers and performers.
  • B. Lyon Conservatory
    Lyon Conservatory is a prestigious French music institution known for training distinguished classical musicians and performers.
  • C. Lausanne Conservatory
    Lausanne Conservatory is a prominent music and performing arts school in Lausanne, Switzerland, known for training musicians across a wide range of classical and contemporary disciplines.
  • D. Conservatoire de Paris
    The Conservatoire de Paris is a prestigious French higher education institution renowned for training many of the world’s leading composers, performers, and conductors in classical music and related arts.
  • E. École de musique Vincent-d’Indy
    École de musique Vincent-d’Indy is a renowned Montreal music conservatory known for its rigorous classical training and influential role in shaping Canadian musicians.
  • F. None of above. chosen

Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640cf418081909d69d5bd9c479fed completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.