Triple

T16388975
Position Surface form Disambiguated ID Type / Status
Subject Quartier de Rochechouart E397997 entity
Predicate nearby P350 FINISHED
Object Gare du Nord E6061 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: Gare du Nord | Statement: [Quartier de Rochechouart, nearby, Gare du Nord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gare du Nord
Context triple: [Quartier de Rochechouart, nearby, Gare du Nord]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Paris-Nord station
    Paris-Nord station, also known as Gare du Nord, is one of Europe’s busiest railway hubs in Paris, serving regional, national, and international trains including high-speed services like the Eurostar and Thalys.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263f18988190800b921381d60c1b completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00aae394d48190aca8e6f5e1cc781f completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:08 a.m.