Triple

T5370109
Position Surface form Disambiguated ID Type / Status
Subject Nantes tramway E108825 entity
Predicate connectsWith P37 FINISHED
Object Nantes Chronobus network E515728 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: Nantes Chronobus network | Statement: [Nantes tramway, connectsWith, Nantes Chronobus network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nantes Chronobus network
Context triple: [Nantes tramway, connectsWith, Nantes Chronobus network]
  • 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. Nantes bus network
    The Nantes bus network is the city’s extensive public transport system of bus routes that complements and interconnects with the tramway to serve Nantes and its surrounding areas.
  • C. 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.
  • D. Rennes Metro
    Rennes Metro is the rapid transit system serving the city of Rennes in France, providing urban rail transport across the metropolitan area.
  • E. Lyon Metro
    Lyon Metro is the rapid transit system serving the French city of Lyon and its suburbs, known for its rubber-tyred lines and integration with the city’s broader public transport network.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd8688b7488190a57baedd52a11b1a completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf334ac2548190ad672943ac138373 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:02 p.m.