Triple

T9436939
Position Surface form Disambiguated ID Type / Status
Subject Ermont E227534 entity
Predicate railConnections P848 FINISHED
Object Paris-Saint-Lazare E372209 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-Saint-Lazare | Statement: [Ermont, railConnections, Paris-Saint-Lazare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris-Saint-Lazare
Context triple: [Ermont, railConnections, Paris-Saint-Lazare]
  • A. Paris-Saint-Lazare station chosen
    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. 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 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 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.
  • E. Reims station
    Reims station is the main railway station serving the city of Reims in northeastern France, providing regional and high-speed train connections.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7ede1e148190b5793863a851c92c completed April 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2ffd03dac81909f6c91afb8d49521 completed April 6, 2026, 12:35 a.m.
Created at: March 30, 2026, 7:50 p.m.