Triple

T1770233
Position Surface form Disambiguated ID Type / Status
Subject RER D E38856 entity
Predicate hasCentralTunnelSection P21069 FINISHED
Object Gare du Nord–Châtelet–Les Halles–Gare de Lyon E6061 NE FINISHED

How this triple was built (3 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: Gare du Nord–Châtelet–Les Halles–Gare de Lyon | Statement: [RER D, hasCentralTunnelSection, Gare du Nord–Châtelet–Les Halles–Gare de Lyon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gare du Nord–Châtelet–Les Halles–Gare de Lyon
Context triple: [RER D, hasCentralTunnelSection, Gare du Nord–Châtelet–Les Halles–Gare de Lyon]
  • A. Gare de Lyon
    Gare de Lyon is one of Paris’s major railway terminals, serving high-speed and regional trains to southeastern France and international destinations.
  • B. Gare Montparnasse
    Gare Montparnasse is one of Paris’s major railway terminals, serving primarily southwestern France and known for its modern complex and historic 1895 train crash.
  • C. Gare de l'Est
    Gare de l'Est is one of Paris's major railway stations, serving eastern France and international destinations such as Germany and Luxembourg.
  • D. Gare du Nord chosen
    Gare du Nord is one of Europe's busiest railway stations in Paris, serving as a major hub for domestic and international train services, including routes to northern France, the UK, and other parts of Europe.
  • E. Gare de Saint-Michel–Notre-Dame
    Gare de Saint-Michel–Notre-Dame is a central Paris commuter rail and Métro interchange station located near the Notre-Dame Cathedral along the Seine.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCentralTunnelSection
Context triple: [RER D, hasCentralTunnelSection, Gare du Nord–Châtelet–Les Halles–Gare de Lyon]
  • A. hasTunnel chosen
    Indicates that one entity possesses, contains, or is connected by a tunnel to another entity.
  • B. hasCanalSection
    Indicates a relationship where one entity includes, contains, or is associated with a specific section or segment of a canal.
  • C. hasUndergroundSection
    Indicates that an entity includes a portion or segment that is located below ground level.
  • D. hasCentralSpace
    Indicates that an entity includes or is characterized by a primary, central area or space within its overall structure.
  • E. hasBridgeSection
    Indicates that one entity includes or is associated with a specific bridge section as a distinct part or component.
  • F. None of above.

Provenance (4 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab39fc2c448190bfaf1ee8d474632a completed March 6, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae95e04dc88190902f2ae5ae856b20 completed March 9, 2026, 9:41 a.m.
PD Predicate disambiguation batch_69aa61cbb1288190a7ba38b61905f578 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.