Triple

T17270549
Position Surface form Disambiguated ID Type / Status
Subject Passy E419244 entity
Predicate hasPublicTransport P1288 FINISHED
Object Passy metro 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: Passy metro station | Statement: [Passy, hasPublicTransport, Passy metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passy metro station
Context triple: [Passy, hasPublicTransport, Passy metro station]
  • A. Passy metro station chosen
    Passy metro station is a Paris Métro station in the 16th arrondissement, known for its elevated platforms and views over the Seine near the Eiffel Tower.
  • B. Corvisart metro station
    Corvisart metro station is a Paris Métro station on Line 6 located in the 13th arrondissement, serving the Butte-aux-Cailles neighborhood.
  • C. Boissière metro station
    Boissière metro station is a Paris Métro station in the 16th arrondissement, serving Line 6 near the Trocadéro and the Eiffel Tower.
  • D. Saint-Paul metro station
    Saint-Paul metro station is a Paris Métro station on Line 1 located in the historic Marais district.
  • E. Pigalle metro station
    Pigalle metro station is a Paris Métro station in the 9th and 18th arrondissements, serving the Pigalle district near the Moulin Rouge and the city’s historic red-light and cabaret area.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4917ec819096356ad2ed24d51d completed April 19, 2026, 1:26 a.m.
Created at: April 10, 2026, 5:40 a.m.