Triple

T20941342
Position Surface form Disambiguated ID Type / Status
Subject Nantes bus network E515727 entity
Predicate connectsWith P37 FINISHED
Object Nantes Chronobus 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: Nantes Chronobus | Statement: [Nantes bus network, connectsWith, Nantes Chronobus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nantes Chronobus
Context triple: [Nantes bus network, connectsWith, Nantes Chronobus]
  • A. Nantes tramway
    The Nantes tramway is a modern light rail network in Nantes, France, that serves as a key component of the city's public transportation system.
  • B. Roissybus
    Roissybus is a dedicated airport shuttle bus service linking central Paris with Charles de Gaulle Airport as part of the city’s public transport system.
  • C. Marseille tramway
    The Marseille tramway is a modern light rail network serving the city of Marseille, France, connecting key districts and providing an important component of the urban public transport system.
  • D. Tramway de Tours
    Tramway de Tours is the modern light rail system serving the city of Tours in central France, providing urban and suburban public transportation along dedicated tram lines.
  • E. Nantes Busway chosen
    Nantes Busway is a high-capacity bus rapid transit system in Nantes, France, designed to provide tram-like service with dedicated lanes and frequent operations.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f955f0148190ae42278ad5c0f363 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:50 p.m.