Triple

T6431455
Position Surface form Disambiguated ID Type / Status
Subject Zürich tram network E129786 entity
Predicate connectsWith P37 FINISHED
Object Zürich S-Bahn E125683 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: Zürich S-Bahn | Statement: [Zürich tram network, connectsWith, Zürich S-Bahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zürich S-Bahn
Context triple: [Zürich tram network, connectsWith, Zürich S-Bahn]
  • A. Zürich S-Bahn chosen
    The Zürich S-Bahn is the suburban rail network serving the Zürich metropolitan area, connecting the main station with surrounding cities and regions through frequent, integrated commuter services.
  • B. Basel S-Bahn
    The Basel S-Bahn is a regional commuter rail network serving the Basel metropolitan area and connecting surrounding Swiss and cross-border communities.
  • C. S-Bahn Luzern
    S-Bahn Luzern is the suburban rail network serving the Lucerne region in Switzerland, providing frequent regional connections between the city and its surrounding areas.
  • D. Basel SBB
    Basel SBB is the main Swiss railway station in Basel and one of Europe’s busiest international rail hubs, connecting Switzerland with France, Germany, and other destinations.
  • E. Zürich tram network
    The Zürich tram network is an extensive urban light rail system serving the city of Zürich and its suburbs, forming the backbone of the city’s public transportation.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0693cadf08190aca84888a3440b3d completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bbf31bc8190981362639a0e1ce5 completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:44 p.m.