Triple

T14850762
Position Surface form Disambiguated ID Type / Status
Subject Le Figaro E349219 entity
Predicate hasEdition P35 FINISHED
Object Le Figaro Économie E349219 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: Le Figaro Économie | Statement: [Le Figaro, hasEdition, Le Figaro Économie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Figaro Économie
Context triple: [Le Figaro, hasEdition, Le Figaro Économie]
  • A. Le Figaro chosen
    Le Figaro is one of France’s oldest and most influential daily newspapers, known for its conservative editorial stance and major role in the country’s cultural and political life.
  • B. France-Soir
    France-Soir is a French daily newspaper that became one of the country’s most widely read popular papers in the mid-20th century.
  • C. Le Monde
    Le Monde is a leading French daily newspaper known for its in-depth political, cultural, and international reporting.
  • D. Le Matin
    Le Matin is a prominent French daily newspaper that was especially influential in the late 19th and early 20th centuries.
  • E. La Presse
    La Presse is a prominent French-language newspaper historically known for serializing major literary works and influencing public opinion in France.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded43eee188190bf24dc475b3abe28 completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6504ac6081908074231cf628fd39 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.