Triple

T11348341
Position Surface form Disambiguated ID Type / Status
Subject Neufchâtel stop E268777 entity
Predicate publicTransportSystem P1288 FINISHED
Object Reims tram network E54426 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: Reims tram network | Statement: [Neufchâtel stop, publicTransportSystem, Reims tram network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reims tram network
Context triple: [Neufchâtel stop, publicTransportSystem, Reims tram network]
  • A. Tramway de Reims chosen
    Tramway de Reims is the modern light rail tram system serving the city of Reims in northeastern France, providing urban public transportation across the metropolitan area.
  • B. Rouen tramway
    The Rouen tramway is a light rail and tram system serving the city of Rouen and its suburbs in Normandy, France.
  • 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. 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.
  • E. 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.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea214bb88190bb66f7fd3ef73081 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ef81c65ba48190a8e2b9d7078cd978 completed April 27, 2026, 3:33 p.m.
Created at: April 8, 2026, 9:33 p.m.