Triple

T19510046
Position Surface form Disambiguated ID Type / Status
Subject Saint-Fons E488123 entity
Predicate hasPublicTransport P1288 FINISHED
Object TCL bus network NE NERFINISHED

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: TCL bus network | Statement: [Saint-Fons, hasPublicTransport, TCL bus network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TCL bus network
Context triple: [Saint-Fons, hasPublicTransport, TCL bus network]
  • A. TCL bus network chosen
    The TCL bus network is the public bus system serving Lyon and its surrounding metropolitan area in France.
  • B. TEC bus lines
    TEC bus lines are a regional public bus network in Wallonia, Belgium, providing local and intercity transportation services.
  • C. TMB bus network
    The TMB bus network is Barcelona’s primary system of urban bus routes operated by Transports Metropolitans de Barcelona, providing extensive public transport coverage across the city and surrounding areas.
  • D. Tan bus network
    The Tan bus network is the public transportation system serving the Nantes metropolitan area in western France, operating numerous bus routes that connect surrounding communes such as Saint-Sébastien-sur-Loire.
  • E. TCL fare system
    The TCL fare system is the integrated public transport ticketing and pricing network used across Lyon’s buses, trams, and metro services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6351547e481909a875bba40651094 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.