Triple

T12434705
Position Surface form Disambiguated ID Type / Status
Subject Radio France headquarters E297113 entity
Predicate tenant P75 FINISHED
Object Franceinfo (radio) E333096 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: Franceinfo (radio) | Statement: [Radio France headquarters, tenant, Franceinfo (radio)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franceinfo (radio)
Context triple: [Radio France headquarters, tenant, Franceinfo (radio)]
  • A. France Info (radio) chosen
    France Info (radio) is a French public all-news radio network that provides continuous national and international news coverage.
  • B. France Info
    France Info is a French public rolling news television channel providing continuous national and international news coverage.
  • 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. Radio France headquarters
    Radio France headquarters is the central broadcasting complex and main offices of the French public radio group, located in Paris.
  • E. france.tv
    france.tv is the official online streaming and catch-up TV platform of the French public broadcaster France Télévisions, offering live channels and on-demand programs.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d804c2c819082f2f86edcbb50de completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349f0f34819080e7d7f83f7baece completed May 2, 2026, 5:30 p.m.
Created at: April 8, 2026, 9:55 p.m.