Triple

T14157328
Position Surface form Disambiguated ID Type / Status
Subject Küsnacht E350845 entity
Predicate hasTransportConnection P845 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: [Küsnacht, hasTransportConnection, Zürich S-Bahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zürich S-Bahn
Context triple: [Küsnacht, hasTransportConnection, 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61377de48190a3470d28f0edd34a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd2804956c81909409fba998a87866 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 12:58 a.m.