Triple

T12758638
Position Surface form Disambiguated ID Type / Status
Subject Orgeval (Reims) E304926 entity
Predicate hasTransportConnection P845 FINISHED
Object Reims tramway 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 tramway network | Statement: [Orgeval (Reims), hasTransportConnection, Reims tramway network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reims tramway network
Context triple: [Orgeval (Reims), hasTransportConnection, Reims tramway 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. Orléans tramway
    The Orléans tramway is a modern light rail system serving the city of Orléans, France, providing efficient urban and suburban public transportation.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8d3eb08190ae998df5cc6d9ba6 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eb5f4188190a5d014bf68557a96 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:27 p.m.