Triple

T19431398
Position Surface form Disambiguated ID Type / Status
Subject Valenciennes tramway E486120 entity
Predicate hasStation P35 FINISHED
Object Valenciennes station NE NERFINISHED

How this triple was built (3 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: Valenciennes station | Statement: [Valenciennes tramway, hasStation, Valenciennes station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valenciennes station
Context triple: [Valenciennes tramway, hasStation, Valenciennes station]
  • A. Reims-Maison-Blanche station
    Reims-Maison-Blanche station is a local railway station serving the city of Reims in northeastern France.
  • B. Vaucelles station
    Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
  • C. Troyes station
    Troyes station is the main railway station serving the city of Troyes in northeastern France, providing regional and intercity train connections.
  • D. Reims station
    Reims station is the main railway station serving the city of Reims in northeastern France, providing regional and high-speed train connections.
  • E. Foch station
    Foch station is an underground metro stop on the Lyon Metro network in Lyon, France, serving passengers on line A.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Valenciennes station
Target entity description: Valenciennes station is a key tram stop on the Valenciennes tramway network in northern France, serving as an important public transport hub for the city.
  • A. Reims-Maison-Blanche station
    Reims-Maison-Blanche station is a local railway station serving the city of Reims in northeastern France.
  • B. Vaucelles station
    Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
  • C. Troyes station
    Troyes station is the main railway station serving the city of Troyes in northeastern France, providing regional and intercity train connections.
  • D. Reims station
    Reims station is the main railway station serving the city of Reims in northeastern France, providing regional and high-speed train connections.
  • E. Foch station
    Foch station is an underground metro stop on the Lyon Metro network in Lyon, France, serving passengers on line A.
  • F. None of above. chosen

Provenance (2 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6335b4e388190913ded15ad165b7b completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:37 p.m.