Triple

T17592195
Position Surface form Disambiguated ID Type / Status
Subject Gare de Caen E428473 entity
Predicate publicTransportConnection P3791 FINISHED
Object Caen bus network 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: Caen bus network | Statement: [Gare de Caen, publicTransportConnection, Caen bus network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caen bus network
Context triple: [Gare de Caen, publicTransportConnection, Caen bus network]
  • A. Nantes bus network
    The Nantes bus network is the city’s extensive public transport system of bus routes that complements and interconnects with the tramway to serve Nantes and its surrounding areas.
  • B. Bordeaux bus network
    The Bordeaux bus network is the public transportation system of Bordeaux and its surrounding metropolitan area, providing extensive bus services that connect suburbs like Gradignan to the city.
  • C. Troyes local bus network
    The Troyes local bus network is the primary urban public transportation system serving the city of Troyes and its surrounding areas in northeastern France.
  • D. Orléans urban bus network
    The Orléans urban bus network is the public transportation system serving the city of Orléans and its surrounding metropolitan area in 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. 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: Caen bus network
Target entity description: The Caen bus network is the primary urban public transportation system serving the city of Caen and its surrounding metropolitan area in Normandy, France.
  • A. Nantes bus network
    The Nantes bus network is the city’s extensive public transport system of bus routes that complements and interconnects with the tramway to serve Nantes and its surrounding areas.
  • B. Bordeaux bus network
    The Bordeaux bus network is the public transportation system of Bordeaux and its surrounding metropolitan area, providing extensive bus services that connect suburbs like Gradignan to the city.
  • C. Troyes local bus network
    The Troyes local bus network is the primary urban public transportation system serving the city of Troyes and its surrounding areas in northeastern France.
  • D. Orléans urban bus network
    The Orléans urban bus network is the public transportation system serving the city of Orléans and its surrounding metropolitan area in 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. 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e79dac8190953a1ce8fc015b20 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.