Triple

T9872390
Position Surface form Disambiguated ID Type / Status
Subject Transilien Line J E239987 entity
Predicate primaryTerminus P388 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: [Transilien Line J, primaryTerminus, Paris Saint-Lazare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris Saint-Lazare
Context triple: [Transilien Line J, primaryTerminus, Paris Saint-Lazare]
  • A. The Gare Saint-Lazare
    The Gare Saint-Lazare is a famous 1877 painting by Claude Monet that depicts the bustling interior of Paris’s Saint-Lazare railway station, celebrated as a key work of French Impressionism.
  • 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. Saint-Lazare
    Saint-Lazare is one of Paris’s busiest transport hubs, serving as a major Métro interchange connected to the Gare Saint-Lazare railway station.
  • E. 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.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f5cc948190b03186b867c92229 completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb12ac9c819087a182c12653792c completed April 9, 2026, 7:16 p.m.
Created at: March 30, 2026, 8:37 p.m.