Triple

T14217828
Position Surface form Disambiguated ID Type / Status
Subject La Presse (serial) E352403 entity
Predicate hasTitle P38 FINISHED
Object La Presse E352400 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: La Presse | Statement: [La Presse (serial), hasTitle, La Presse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Presse
Context triple: [La Presse (serial), hasTitle, La Presse]
  • A. La Presse chosen
    La Presse is a prominent French-language newspaper historically known for serializing major literary works and influencing public opinion in France.
  • B. Le Figaro
    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.
  • C. Le Matin
    Le Matin is a prominent French daily newspaper that was especially influential in the late 19th and early 20th centuries.
  • D. 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.
  • E. Le Monde
    Le Monde is a leading French daily newspaper known for its in-depth political, cultural, and international reporting.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de621258d4819085f358cd2cf109e4 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd28101e1881909f7a6c0cc762204c completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:06 a.m.