Triple

T21903929
Position Surface form Disambiguated ID Type / Status
Subject S2 line E540880 entity
Predicate fareSystem P395 FINISHED
Object ZVV integrated fare network — NE NERFINISHED

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: ZVV integrated fare network | Statement: [S2 line, fareSystem, ZVV integrated fare network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZVV integrated fare network
Context triple: [S2 line, fareSystem, ZVV integrated fare network]
  • A. Munich S-Bahn
    The Munich S-Bahn is a rapid transit and commuter rail network serving Munich and its surrounding metropolitan region in Bavaria, Germany.
  • B. Frankfurt S-Bahn network
    The Frankfurt S-Bahn network is a rapid transit and commuter rail system serving Frankfurt am Main and its surrounding metropolitan region, integrating urban and regional rail services.
  • C. Frankfurt public transport network
    The Frankfurt public transport network is an integrated system of trams, buses, S-Bahn, and U-Bahn services that provides comprehensive urban and regional mobility across Frankfurt and its surrounding areas.
  • D. Swiss InterRegio network
    The Swiss InterRegio network is a system of medium- to long-distance passenger trains in Switzerland that connect major cities and regions with regular, relatively fast services.
  • E. Verkehrsverbund Ost-Region
    Verkehrsverbund Ost-Region is the public transport association that coordinates and manages integrated ticketing and fares for the eastern region of Austria, including Vienna and its surrounding areas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZVV integrated fare network
Target entity description: 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.
  • A. Munich S-Bahn
    The Munich S-Bahn is a rapid transit and commuter rail network serving Munich and its surrounding metropolitan region in Bavaria, Germany.
  • B. Frankfurt S-Bahn network
    The Frankfurt S-Bahn network is a rapid transit and commuter rail system serving Frankfurt am Main and its surrounding metropolitan region, integrating urban and regional rail services.
  • C. Frankfurt public transport network
    The Frankfurt public transport network is an integrated system of trams, buses, S-Bahn, and U-Bahn services that provides comprehensive urban and regional mobility across Frankfurt and its surrounding areas.
  • D. Swiss InterRegio network
    The Swiss InterRegio network is a system of medium- to long-distance passenger trains in Switzerland that connect major cities and regions with regular, relatively fast services.
  • E. Verkehrsverbund Ost-Region
    Verkehrsverbund Ost-Region is the public transport association that coordinates and manages integrated ticketing and fares for the eastern region of Austria, including Vienna and its surrounding areas.
  • F. None of above. chosen

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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d3c23081908c30c3a617002389 completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:26 p.m.