Triple

T8826905
Position Surface form Disambiguated ID Type / Status
Subject Paris–Caen–Cherbourg E210036 entity
Predicate railNetwork P522 FINISHED
Object SNCF Intercités network E39984 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: SNCF Intercités network | Statement: [Paris–Caen–Cherbourg, railNetwork, SNCF Intercités network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNCF Intercités network
Context triple: [Paris–Caen–Cherbourg, railNetwork, SNCF Intercités network]
  • A. Intercités chosen
    Intercités is a network of French long-distance conventional trains operated by SNCF, connecting major cities and regions across the country.
  • B. SNCF Connect
    SNCF Connect is the official digital platform and app of the French national railway company, providing online ticket booking, travel planning, and real-time information for trains and other transport services.
  • C. TGV Nord services
    TGV Nord services are high-speed train routes in northern France that connect major cities and the Channel Tunnel with Paris and other key destinations.
  • D. TGV Réseau
    TGV Réseau is a later-generation French high-speed trainset used by SNCF, designed for improved performance and comfort on the expanding TGV network.
  • E. SNCF Réseau
    SNCF Réseau is the French state-owned rail infrastructure manager responsible for operating, maintaining, and developing France’s national railway network.
  • 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc6034e8dc819099116d772e87569a completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cfeb0dab088190b842b20f8a7bc7a0 completed April 3, 2026, 4:30 p.m.
Created at: March 30, 2026, 6:46 p.m.