Triple

T22981968
Position Surface form Disambiguated ID Type / Status
Subject CMF E571491 entity
Predicate languageCommunity P5562 FINISHED
Object Francophonie 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: Francophonie | Statement: [CMF, languageCommunity, Francophonie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francophonie
Context triple: [CMF, languageCommunity, Francophonie]
  • A. Francophonie chosen
    Francophonie is the global community of French-speaking countries, regions, and peoples connected by the use of the French language and shared cultural and institutional ties.
  • B. French Union
    The French Union was a political entity established after World War II to reorganize France’s relationship with its colonies and overseas territories within a quasi-federal framework.
  • C. L’Union
    L’Union is a French regional newspaper known for covering local and national news in the Champagne-Ardenne and surrounding areas.
  • D. L’Union
    L’Union is a suburban commune in southwestern France, located just northeast of Toulouse and integrated into its metropolitan area.
  • E. Francophone Canada
    Francophone Canada refers to the regions of Canada where French is the primary language and culture, including Quebec and various French-speaking communities across other provinces and territories.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829645f88190aea1b96ea595ff60 completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.