Triple

T17721492
Position Surface form Disambiguated ID Type / Status
Subject CAF Urbos 3 E442346 entity
Predicate usedInSystem P1248 FINISHED
Object Besançon tramway NE NERFINISHED

How this triple was built (3 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: Besançon tramway | Statement: [CAF Urbos 3, usedInSystem, Besançon tramway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Besançon tramway
Context triple: [CAF Urbos 3, usedInSystem, Besançon tramway]
  • A. Mulhouse tramway
    The Mulhouse tramway is a modern light rail network in Mulhouse, France, providing urban and suburban public transport and connecting key districts of the city and its surroundings.
  • B. Strasbourg tramway
    The Strasbourg tramway is a modern light rail transit system in Strasbourg, France, known for its extensive network, integration with urban renewal, and cross-border service into Germany.
  • C. Valenciennes tramway
    The Valenciennes tramway is a modern light rail system serving the city of Valenciennes and its surrounding metropolitan area in northern France.
  • D. Grenoble tramway
    The Grenoble tramway is a modern light rail network in Grenoble, France, that serves as a key component of the city’s public transportation system.
  • E. Saint-Étienne tramway
    The Saint-Étienne tramway is one of France’s oldest urban tram networks, serving the city of Saint-Étienne and its suburbs with electric light-rail transit.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Besançon tramway
Target entity description: The Besançon tramway is a modern light rail network serving the city of Besançon in eastern France, designed to provide efficient urban public transport.
  • A. Mulhouse tramway
    The Mulhouse tramway is a modern light rail network in Mulhouse, France, providing urban and suburban public transport and connecting key districts of the city and its surroundings.
  • B. Strasbourg tramway
    The Strasbourg tramway is a modern light rail transit system in Strasbourg, France, known for its extensive network, integration with urban renewal, and cross-border service into Germany.
  • C. Valenciennes tramway
    The Valenciennes tramway is a modern light rail system serving the city of Valenciennes and its surrounding metropolitan area in northern France.
  • D. Grenoble tramway
    The Grenoble tramway is a modern light rail network in Grenoble, France, that serves as a key component of the city’s public transportation system.
  • E. Saint-Étienne tramway
    The Saint-Étienne tramway is one of France’s oldest urban tram networks, serving the city of Saint-Étienne and its suburbs with electric light-rail transit.
  • F. None of above. chosen

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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47486438c8190abe27eb4eb2c6fdf completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:07 a.m.