Triple

T18401541
Position Surface form Disambiguated ID Type / Status
Subject AFP E450008 entity
Predicate fullName P16 FINISHED
Object Agence France-Presse NE NERFINISHED

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: Agence France-Presse | Statement: [AFP, fullName, Agence France-Presse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agence France-Presse
Context triple: [AFP, fullName, Agence France-Presse]
  • A. Agence France-Presse chosen
    Agence France-Presse is a major international news agency headquartered in Paris that provides global news coverage to media outlets worldwide.
  • B. Associated Press
    The Associated Press is a major American not-for-profit news agency and cooperative known for its global news coverage and influential photojournalism.
  • C. United Press International
    United Press International is a major American news agency known for providing global news coverage, wire services, and syndicated content to media outlets worldwide.
  • D. France Médias Monde
    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.
  • E. National Newspaper Service
    National Newspaper Service is a newspaper syndication company that distributed comic strips and features, notably including the Buck Rogers series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5195185b08190bd3b5471cdc047b0 completed April 19, 2026, 6:05 p.m.
Created at: April 10, 2026, 10:46 a.m.