Triple

T7778361
Position Surface form Disambiguated ID Type / Status
Subject French Wikipedia E221449 entity
Predicate hasSisterProject P14971 FINISHED
Object French Wikinews E194349 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: French Wikinews | Statement: [French Wikipedia, hasSisterProject, French Wikinews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Wikinews
Context triple: [French Wikipedia, hasSisterProject, French Wikinews]
  • A. French Wikinews chosen
    French Wikinews is the French-language edition of the Wikinews collaborative, free-content news project run by the Wikimedia Foundation.
  • B. France Info
    France Info is a French public rolling news television channel providing continuous national and international news coverage.
  • C. French Wikipedia
    French Wikipedia is the French-language edition of the online collaborative encyclopedia Wikipedia, written and maintained by a community of French-speaking volunteers.
  • D. France Info (radio)
    France Info (radio) is a French public all-news radio network that provides continuous national and international news coverage.
  • E. france.tv
    france.tv is the official online streaming and catch-up TV platform of the French public broadcaster France Télévisions, offering live channels and on-demand programs.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d4480481909d3e8a4df1345299 completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf59dfe5c8190972eb9db1b3ca043 completed March 30, 2026, 10:13 p.m.
Created at: March 30, 2026, 4:16 p.m.