Triple

T8660413
Position Surface form Disambiguated ID Type / Status
Subject 3rd arrondissement of Paris E205532 entity
Predicate contains P35 FINISHED
Object République (Paris Métro) E733977 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: République (Paris Métro) | Statement: [3rd arrondissement of Paris, contains, République (Paris Métro)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: République (Paris Métro)
Context triple: [3rd arrondissement of Paris, contains, République (Paris Métro)]
  • A. République (Paris Métro) chosen
    République is a major Paris Métro interchange station in central Paris, serving multiple lines and providing access to the Place de la République.
  • B. Kléber (Paris Métro)
    Kléber (Paris Métro) is a Paris Métro station on Line 6 located near the Arc de Triomphe in the 16th arrondissement.
  • C. Vaugirard (Paris Métro)
    Vaugirard (Paris Métro) is a station on Line 12 of the Paris Métro located in the 15th arrondissement of Paris.
  • D. Falguière (Paris Métro)
    Falguière is a Paris Métro station on Line 12 located in the 15th arrondissement near Montparnasse.
  • E. Richard-Lenoir (Paris Métro)
    Richard-Lenoir is a Paris Métro station on Line 5, located in the 11th arrondissement near Boulevard Richard-Lenoir.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48701c748190a5f7bd9e2da0e5e9 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccfda1dc8190a3b93b1c7e813f33 completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.