Triple

T7402664
Position Surface form Disambiguated ID Type / Status
Subject Moulins-sur-Allier railway station E170785 entity
Predicate connects P390 FINISHED
Object Moulins to other French cities E29623 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: Moulins to other French cities | Statement: [Moulins-sur-Allier railway station, connects, Moulins to other French cities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moulins to other French cities
Context triple: [Moulins-sur-Allier railway station, connects, Moulins to other French cities]
  • A. Moulins, France
    Moulins, France is a historic town in central France known as the former ducal capital of Bourbonnais, featuring well-preserved medieval architecture and significant cultural heritage.
  • B. Moulins chosen
    Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
  • C. Les Mureaux
    Les Mureaux is a suburban commune in north-central France known for its aerospace industry and location along the Seine, west of Paris.
  • D. Limoges
    Limoges is a historic city in central France renowned for its fine porcelain production and medieval architecture.
  • E. Moulin
    Moulin is a French commune known for its cultural and municipal partnership as a twin town of Wesel, Germany.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f26ea27c8190a55e0e0314b463d8 completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81110d7648190a8938db7061be454 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.