Triple

T15472040
Position Surface form Disambiguated ID Type / Status
Subject Maison de la Radio E376684 entity
Predicate housesOrganization P22912 FINISHED
Object France Musique E1067475 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: France Musique | Statement: [Maison de la Radio, housesOrganization, France Musique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France Musique
Context triple: [Maison de la Radio, housesOrganization, France Musique]
  • A. France Musique chosen
    France Musique is a French public radio station dedicated primarily to classical music, jazz, and cultural programming.
  • B. France Bleu
    France Bleu is a network of local public radio stations in France offering regional news, music, and community-focused programming.
  • C. Radio France
    Radio France is France’s national public radio broadcaster, operating multiple nationwide stations that provide news, culture, music, and educational programming.
  • D. Ici Musique
    Ici Musique is a Canadian French-language public radio network operated by CBC/Radio-Canada that focuses on music and cultural programming.
  • E. Radio France Internationale
    Radio France Internationale is a major French public radio broadcaster that provides international news and cultural programming in multiple languages to audiences around the world.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6c57308190b4cfe661c26addd4 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0543f881909dfbbc77f2a96a1a completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.