Triple

T21255071
Position Surface form Disambiguated ID Type / Status
Subject Faubourg-du-Roule E523845 entity
Predicate hasPublicTransport P1288 FINISHED
Object Ternes station 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: Ternes station | Statement: [Faubourg-du-Roule, hasPublicTransport, Ternes station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ternes station
Context triple: [Faubourg-du-Roule, hasPublicTransport, Ternes station]
  • A. Ternes station chosen
    Ternes station is a Paris Métro station in the 17th arrondissement, serving Line 2 near Place des Ternes and the Arc de Triomphe.
  • B. Fontenay-aux-Roses station
    Fontenay-aux-Roses station is a suburban railway stop in the Paris metropolitan area serving the commune of Fontenay-aux-Roses in the Hauts-de-Seine department of France.
  • C. Richard-Lenoir station
    Richard-Lenoir station is a Paris Métro station on Line 5 located in the 11th arrondissement of Paris, France.
  • D. Montmorency station
    Montmorency station is a major Montreal Metro terminal in Laval that serves as a key transit hub for the Orange Line and nearby institutions like Collège Montmorency.
  • E. Bagneux station
    Bagneux station is a railway station serving the suburb of Bagneux in the southern part of the Paris metropolitan area, providing regional commuter rail connections.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735a0e7dc8190b591b5b6786ce619 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:58 p.m.