Triple

T10847390
Position Surface form Disambiguated ID Type / Status
Subject Paris–Rennes railway E256048 entity
Predicate majorIntermediateStation P24280 FINISHED
Object Le Mans station E221456 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: Le Mans station | Statement: [Paris–Rennes railway, majorIntermediateStation, Le Mans station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Mans station
Context triple: [Paris–Rennes railway, majorIntermediateStation, Le Mans station]
  • A. Le Mans railway station chosen
    Le Mans railway station is the main passenger rail hub in the city of Le Mans, France, providing regional, national, and high-speed TGV connections.
  • B. Marmande station
    Marmande station is a railway station in Marmande, France, serving regional and intercity train services in the Nouvelle-Aquitaine region.
  • C. Reims-Maison-Blanche station
    Reims-Maison-Blanche station is a local railway station serving the city of Reims in northeastern France.
  • 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. Clermont-Ferrand station
    Clermont-Ferrand station is the main railway station serving the city of Clermont-Ferrand in central France, acting as a key regional hub for passenger rail services.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75113bc188190ac78df0c51d95de6 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2166293808190b7ed1620dfc8a158 completed April 17, 2026, 11:15 a.m.
Created at: April 8, 2026, 9:20 p.m.