Triple

T9875931
Position Surface form Disambiguated ID Type / Status
Subject Quartier de Bel-Air E240071 entity
Predicate hasPublicTransport P1288 FINISHED
Object Daumesnil station E848228 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: Daumesnil station | Statement: [Quartier de Bel-Air, hasPublicTransport, Daumesnil station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daumesnil station
Context triple: [Quartier de Bel-Air, hasPublicTransport, Daumesnil station]
  • A. Saint-Michel station
    Saint-Michel station is a Montreal Metro station that serves as the eastern terminus of the Blue Line in the Rosemont–La Petite-Patrie borough.
  • B. Orsay-Ville station
    Orsay-Ville station is a commuter rail station in Orsay, France, serving the RER B line that connects the southwestern suburbs to central Paris.
  • C. Sèvres–Rive-Gauche station
    Sèvres–Rive-Gauche station is a suburban railway station in the town of Sèvres, in the southwestern outskirts of Paris, serving regional commuter trains.
  • D. Daumesnil metro station chosen
    Daumesnil metro station is a Paris Métro station in the 12th arrondissement, serving as an interchange between lines 6 and 8 near Place Félix-Éboué.
  • E. Vanves–Malakoff station
    Vanves–Malakoff station is a suburban railway station in the southwestern Paris metropolitan area serving local commuter traffic on the Transilien network.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f9d82c81908afb4977ce4e3e4a completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d369657ecc81909d0c710ca919602e completed April 6, 2026, 8:05 a.m.
Created at: March 30, 2026, 8:37 p.m.