Triple

T2043312
Position Surface form Disambiguated ID Type / Status
Subject Hall 2 (Gare de Lyon) E44792 entity
Predicate isMainConcourseOf P36002 FINISHED
Object Gare de Lyon E6964 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 de Lyon | Statement: [Hall 2 (Gare de Lyon), isMainConcourseOf, Gare de Lyon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gare de Lyon
Context triple: [Hall 2 (Gare de Lyon), isMainConcourseOf, Gare de Lyon]
  • A. Gare de Lyon chosen
    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
    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: isMainConcourseOf
Context triple: [Hall 2 (Gare de Lyon), isMainConcourseOf, Gare de Lyon]
  • A. hasNumberOfConcourses
    Indicates the relationship specifying how many concourses are associated with a given entity.
  • B. isMainStageOf
    Indicates that one entity serves as the primary or central stage or platform on which the other entity occurs, is presented, or is featured.
  • C. isMajorInterchangeFor
    Indicates that one location functions as a primary hub where multiple routes or lines connect or transfer between each other for another location.
  • D. isMainTractOf
    Indicates that one tract or pathway is the primary or principal route among related tracts within a system or structure.
  • E. isMajorStationOn
    Indicates that a station serves as a primary or significant stop on a particular route or line.
  • F. None of above. chosen

Provenance (5 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abbc2c3f6c8190aff07097b2654e52 completed March 7, 2026, 5:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01cf667bc81909d1de1542d53076a completed March 10, 2026, 1:30 p.m.
PD Predicate disambiguation batch_69abb7aa00d4819086d347d9a08f81a0 completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abbc2b07d48190ba9d67353167b472 completed March 7, 2026, 5:48 a.m.
Created at: March 4, 2026, 7:39 p.m.