Triple

T20101087
Position Surface form Disambiguated ID Type / Status
Subject Line 2 (Lille Metro) E496538 entity
Predicate hasStation P35 FINISHED
Object Gare Jean Lebas Roubaix NE NERFINISHED

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: Gare Jean Lebas Roubaix | Statement: [Line 2 (Lille Metro), hasStation, Gare Jean Lebas Roubaix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gare Jean Lebas Roubaix
Context triple: [Line 2 (Lille Metro), hasStation, Gare Jean Lebas Roubaix]
  • A. Gare de Valenciennes
    Gare de Valenciennes is the main railway station serving the city of Valenciennes in northern France, providing regional and intercity train connections.
  • B. Roubaix station chosen
    Roubaix station is a railway station in the city of Roubaix in northern France, serving regional and local train services.
  • C. Valenciennes station
    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.
  • D. Tourcoing station
    Tourcoing station is a railway station in the city of Tourcoing in northern France, serving regional and cross-border trains near the Belgian border.
  • E. Villeneuve-d’Ascq–Pont de Bois station
    Villeneuve-d’Ascq–Pont de Bois station is a public transit stop in Villeneuve d’Ascq, France, serving as part of the local urban transport network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666ff4008190ae1eec907c89bd3b completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:26 p.m.