Triple

T3215786
Position Surface form Disambiguated ID Type / Status
Subject France 4 E67390 entity
Predicate hasSisterChannel P6991 FINISHED
Object France 24 E333095 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 24 | Statement: [France 4, hasSisterChannel, France 24]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France 24
Context triple: [France 4, hasSisterChannel, France 24]
  • A. France Médias Monde chosen
    France Médias Monde is the French public broadcasting group that oversees the country’s international radio and television services, including outlets like RFI and France 24.
  • B. France Info
    France Info is a French public rolling news television channel providing continuous national and international news coverage.
  • C. Agence France-Presse
    Agence France-Presse is a major international news agency headquartered in Paris that provides global news coverage to media outlets worldwide.
  • D. Radio France
    Radio France is France’s national public radio broadcaster, operating multiple nationwide stations that provide news, culture, music, and educational programming.
  • E. France 2
    France 2 is a major French public television channel that forms part of the France Télévisions group and broadcasts a wide range of news, entertainment, and cultural programming nationwide.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab096b588190b22e41a76263ae92 completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2623c90cc819085a94adfe3eb3f3f completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.