Triple

T8303971
Position Surface form Disambiguated ID Type / Status
Subject Line H E194413 entity
Predicate primaryHub P394 FINISHED
Object Paris-Nord station 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: Paris-Nord station | Statement: [Line H, primaryHub, Paris-Nord station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris-Nord station
Context triple: [Line H, primaryHub, Paris-Nord station]
  • A. Paris-Saint-Lazare station
    Paris-Saint-Lazare station is one of the main railway termini in Paris, serving as a major hub for suburban and regional trains in the western part of the Île-de-France region.
  • B. Reims station
    Reims station is the main railway station serving the city of Reims in northeastern France, providing regional and high-speed train connections.
  • C. Paris-Austerlitz station
    Paris-Austerlitz station is a major railway terminus in central Paris, serving regional, national, and international trains, particularly toward central and southwestern France.
  • 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. 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.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e8b9f6081909100d1da8a078616 completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1ce5a0c881909ee517678cdc4ef2 completed April 2, 2026, 7:38 a.m.
Created at: March 30, 2026, 5:53 p.m.