Triple

T14611878
Position Surface form Disambiguated ID Type / Status
Subject RFO Sat E342980 entity
Predicate rebrandedAs P65 FINISHED
Object France Ô E68457 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 Ô | Statement: [RFO Sat, rebrandedAs, France Ô]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France Ô
Context triple: [RFO Sat, rebrandedAs, France Ô]
  • A. France Ô chosen
    France Ô was a French public television channel dedicated to programming from France’s overseas departments and territories, operated by the France Télévisions group.
  • B. France
    France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
  • C. Francia
    Francia is the surname of American rower and two-time Olympic gold medalist Susan Francia.
  • D. de France
    "de France" is a dynastic surname historically used by members of the French royal family, particularly the legitimate children of reigning kings of France.
  • E. Francie
    Francie is a diminutive given name, typically used as a nickname for Francis or Frances.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb450e6588190a94488d8e71888c8 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda91f437c8190ada4d1c3708faedd completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.