Triple

T12436361
Position Surface form Disambiguated ID Type / Status
Subject Anne Hidalgo E297152 entity
Predicate servedUnder P258 FINISHED
Object Bertrand Delanoë E69411 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: Bertrand Delanoë | Statement: [Anne Hidalgo, servedUnder, Bertrand Delanoë]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bertrand Delanoë
Context triple: [Anne Hidalgo, servedUnder, Bertrand Delanoë]
  • A. Bertrand Delanoë chosen
    Bertrand Delanoë is a French Socialist politician best known for serving as mayor of Paris from 2001 to 2014.
  • B. Anne Hidalgo
    Anne Hidalgo is a Spanish-born French politician who has served as the mayor of Paris since 2014.
  • C. Richard Ferrand
    Richard Ferrand is a French politician who served as President of the National Assembly and was a close ally of President Emmanuel Macron within the La République En Marche! party.
  • D. Laurent Wauquiez
    Laurent Wauquiez is a French conservative politician who has held several ministerial posts and served as president of the regional council of Auvergne-Rhône-Alpes.
  • E. Christian Estrosi
    Christian Estrosi is a French conservative politician and longtime mayor of Nice who has held several ministerial and parliamentary roles at the national level.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8c8fd481909b35ac504127a1b6 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b9aaf9c819098e8f8ba40c73363 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:55 p.m.