Triple

T5370064
Position Surface form Disambiguated ID Type / Status
Subject Gare de Nantes E108824 entity
Predicate publicTransportConnection P3791 FINISHED
Object Nantes tramway E108825 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 tramway | Statement: [Gare de Nantes, publicTransportConnection, Nantes tramway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nantes tramway
Context triple: [Gare de Nantes, publicTransportConnection, Nantes tramway]
  • A. Nantes tramway chosen
    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. 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.
  • C. Orléans tramway
    The Orléans tramway is a modern light rail system serving the city of Orléans, France, providing efficient urban and suburban public transportation.
  • D. Valenciennes tramway
    The Valenciennes tramway is a modern light rail system serving the city of Valenciennes and its surrounding metropolitan area in northern France.
  • E. Rouen tramway
    The Rouen tramway is a light rail and tram system serving the city of Rouen and its suburbs in Normandy, France.
  • 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_69bd86873e0c8190bf5ecede2cc2bd8b completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29307cc481908fa4d8b52711bbd4 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:02 p.m.