Triple

T21518715
Position Surface form Disambiguated ID Type / Status
Subject Solothurn–Moutier line E530913 entity
Predicate hasStation P35 FINISHED
Object Moutier 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: Moutier | Statement: [Solothurn–Moutier line, hasStation, Moutier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moutier
Context triple: [Solothurn–Moutier line, hasStation, Moutier]
  • A. Moutier chosen
    Moutier is a small town in the canton of Bern in northwestern Switzerland, known for its industrial heritage and location in the Jura mountains.
  • B. Cugny
    Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • C. Chassieu
    Chassieu is a commune in the Metropolis of Lyon in eastern France, known for its residential areas and proximity to the Lyon urban center.
  • D. Gueugnon
    Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
  • E. Valentigney
    Valentigney is a commune in eastern France’s Bourgogne-Franche-Comté region, historically known for its industrial activity, particularly in the automotive sector linked to Peugeot.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee81438cbc8190aba0f546b27eb2a4 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 6:25 p.m.