Triple

T16199775
Position Surface form Disambiguated ID Type / Status
Subject Prague commuter rail E393166 entity
Predicate complementsTransportSystem P122131 FINISHED
Object Prague Integrated Transport E646480 NE FINISHED

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: Prague Integrated Transport | Statement: [Prague commuter rail, complementsTransportSystem, Prague Integrated Transport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prague Integrated Transport
Context triple: [Prague commuter rail, complementsTransportSystem, Prague Integrated Transport]
  • A. Prague public transport network chosen
    The Prague public transport network is an extensive integrated system of metro lines, trams, buses, ferries, and funiculars that provides comprehensive urban and suburban transit throughout the Czech capital and its surrounding areas.
  • B. Prague commuter rail
    The Prague commuter rail is a suburban rail network that links Prague with its surrounding metropolitan area, providing frequent regional train services that complement the city’s urban transit system.
  • C. Prague Metro
    The Prague Metro is the rapid transit system serving the Czech capital, known for its three main lines, deep underground stations, and role as the backbone of the city's public transportation network.
  • D. Prague trams
    Prague trams are an extensive electric streetcar network that forms a core part of Prague’s public transport system, serving both central and outlying districts.
  • E. Liberec public transport network
    The Liberec public transport network is the integrated system of trams, buses, and related services that provides urban and regional mobility in and around the city of Liberec in the Czech Republic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: complementsTransportSystem
Context triple: [Prague commuter rail, complementsTransportSystem, Prague Integrated Transport]
  • A. transports
    Indicates that one entity carries or conveys another entity from one place to another.
  • B. usedTransportationInfrastructure
    Indicates that an entity made use of some form of transportation infrastructure (such as roads, railways, or ports) to enable movement or transit.
  • C. hasTransportationSystem
    Indicates that an entity possesses, operates, or is served by an organized system for transporting people or goods.
  • D. publicTransit
    Indicates that one entity provides or is connected via shared, scheduled transportation services (such as buses, trains, or subways) that are available for use by the general public.
  • E. publicTransitMode
    Indicates the type of public transportation (e.g., bus, train, subway) used or associated with a given trip or segment.
  • F. None of above. chosen

Provenance (5 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222de2db481908471b9c73d444607 completed April 17, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00456f2ba481909f243ab2c4619623 completed May 10, 2026, 8:44 a.m.
PD Predicate disambiguation batch_69e219e11f6081909106b1240a17fd37 completed April 17, 2026, 11:30 a.m.
PDg Predicate description generation batch_69e21e55a2388190b29a045a8c608ba4 completed April 17, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:03 a.m.