Triple

T3304387
Position Surface form Disambiguated ID Type / Status
Subject Bertrand Delanoë E69411 entity
Predicate succeededBy P78 FINISHED
Object Anne Hidalgo E297152 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: Anne Hidalgo | Statement: [Bertrand Delanoë, succeededBy, Anne Hidalgo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Hidalgo
Context triple: [Bertrand Delanoë, succeededBy, Anne Hidalgo]
  • A. Anne Hidalgo chosen
    Anne Hidalgo is a Spanish-born French politician who has served as the mayor of Paris since 2014.
  • B. Bertrand Delanoë
    Bertrand Delanoë is a French Socialist politician best known for serving as mayor of Paris from 2001 to 2014.
  • C. Valérie Pécresse
    Valérie Pécresse is a French center-right politician who has served as president of the Île-de-France regional council and was a prominent candidate in the 2022 French presidential election.
  • D. Ségolène Royal
    Ségolène Royal is a French Socialist politician who served as Minister of the Environment and was the first woman to reach the second round of a French presidential election, in 2007.
  • E. Martine Aubry
    Martine Aubry is a French politician and longtime member of the Socialist Party, known for serving as Minister of Labour and as mayor of Lille, and for introducing the 35-hour workweek in France.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0c8179081908a2595d1fdb7560a completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a71b56c8190bb30eaada02ebdb5 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:11 p.m.