Triple

T11348281
Position Surface form Disambiguated ID Type / Status
Subject Comédie (Reims tram stop) E268775 entity
Predicate servesTransportSystem P14525 FINISHED
Object Reims tramway 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 | Statement: [Comédie (Reims tram stop), servesTransportSystem, Reims tramway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reims tramway
Context triple: [Comédie (Reims tram stop), servesTransportSystem, Reims tramway]
  • 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. Valenciennes tramway
    The Valenciennes tramway is a modern light rail system serving the city of Valenciennes and its surrounding metropolitan area in northern France.
  • C. Rouen tramway
    The Rouen tramway is a light rail and tram system serving the city of Rouen and its suburbs in Normandy, France.
  • D. 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.
  • E. 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.
  • 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_69e62442905881909c5228a58d9dea3d completed April 20, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:33 p.m.