Triple

T13857196
Position Surface form Disambiguated ID Type / Status
Subject France Info (radio) E333096 entity
Predicate owner P347 FINISHED
Object Radio France E333094 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: Radio France | Statement: [France Info (radio), owner, Radio France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radio France
Context triple: [France Info (radio), owner, Radio France]
  • A. Radio France chosen
    Radio France is France’s national public radio broadcaster, operating multiple nationwide stations that provide news, culture, music, and educational programming.
  • B. 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.
  • C. Radio France headquarters
    Radio France headquarters is the central broadcasting complex and main offices of the French public radio group, located in Paris.
  • D. France Bleu
    France Bleu is a network of local public radio stations in France offering regional news, music, and community-focused programming.
  • E. France Info (radio)
    France Info (radio) is a French public all-news radio network that provides continuous national and international news coverage.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02dc9f488190b7181dcb7e304632 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce6c0c3c8190911b56b20c9eb955 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:14 p.m.