Triple

T5266234
Position Surface form Disambiguated ID Type / Status
Subject Roslagsbanan E118941 entity
Predicate connectsWith P37 FINISHED
Object SL bus network E103981 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: SL bus network | Statement: [Roslagsbanan, connectsWith, SL bus network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SL bus network
Context triple: [Roslagsbanan, connectsWith, SL bus network]
  • A. SL buses chosen
    SL buses are the public bus services operating within the Stockholm County public transport network in Sweden.
  • B. STM bus network
    The STM bus network is the extensive system of urban bus routes serving neighborhoods across the island of Montreal as part of the city’s public transit infrastructure.
  • C. SMART bus network
    The SMART bus network is a regional public transit system serving the Detroit metropolitan area with fixed-route and paratransit bus services across multiple suburban communities.
  • D. SL public transport network
    The SL public transport network is the integrated system of buses, metro, commuter trains, trams, and ferries serving the greater Stockholm region in Sweden.
  • E. 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.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bfabf9c819098f961243c31e508 completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe8e5c948190a807a99bd35f710d completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:51 p.m.