Triple

T15995032
Position Surface form Disambiguated ID Type / Status
Subject Hénon metro station E387939 entity
Predicate hasConnection P8776 FINISHED
Object TCL bus network E487754 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: TCL bus network | Statement: [Hénon metro station, hasConnection, TCL bus network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TCL bus network
Context triple: [Hénon metro station, hasConnection, 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 (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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15785fad48190af0556e7ddfd29c5 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d5d72081908aa235c5ad9b5707 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.