Triple

T5809508
Position Surface form Disambiguated ID Type / Status
Subject Jordbro station E128832 entity
Predicate hasFareSystem P395 FINISHED
Object SL fare system E467340 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 fare system | Statement: [Jordbro station, hasFareSystem, SL fare system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SL fare system
Context triple: [Jordbro station, hasFareSystem, SL fare system]
  • A. SL fare system chosen
    The SL fare system is Stockholm’s integrated public transport ticketing scheme that allows passengers to use a unified range of tickets and travel cards across buses, metro, commuter trains, and other regional services.
  • B. MARC fare system
    The MARC fare system is the ticketing and pricing structure used by Maryland's MARC commuter rail service for travel across its network.
  • C. MetroRide
    MetroRide is a free downtown Denver circulator bus service providing frequent, short-distance connections within the city center.
  • D. Metro TAP card
    The Metro TAP card is a reusable, reloadable smart fare card used for contactless payment across the Los Angeles County public transit system.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b52663c8190ab44258468d4296d completed March 22, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c098416504819089356b68fabdf737 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:52 p.m.