Triple

T23345529
Position Surface form Disambiguated ID Type / Status
Subject Affoltern tram stop E591849 entity
Predicate hasTicketing P3383 FINISHED
Object ZVV ticketing system 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: ZVV ticketing system | Statement: [Affoltern tram stop, hasTicketing, ZVV ticketing system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZVV ticketing system
Context triple: [Affoltern tram stop, hasTicketing, ZVV ticketing system]
  • A. ZVV integrated fare network
    The ZVV integrated fare network is a unified public transport tariff system covering trains, trams, buses, and other services across the Zurich region, allowing seamless travel with a single ticket.
  • B. ZVV chosen
    ZVV is the Zürcher Verkehrsverbund, the integrated public transport network and fare association for the Zurich metropolitan area in Switzerland.
  • C. RailBlazer
    RailBlazer is a steel single-rail roller coaster at California’s Great America known for its tight maneuvers and dynamic, high-thrill layout.
  • D. RegionalBahn
    RegionalBahn is a category of regional passenger trains in Germany that provide relatively frequent, short- to medium-distance services connecting cities and smaller towns.
  • E. D-Zug
    D-Zug was a former class of fast long-distance passenger trains in German-speaking countries, known for providing relatively quick intercity connections before being largely superseded by newer service categories.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1983697408190b31817174ed4e77b completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:19 p.m.