Triple

T18213682
Position Surface form Disambiguated ID Type / Status
Subject Wankdorf district of Bern E436095 entity
Predicate hasPublicTransport P1288 FINISHED
Object Bern S-Bahn 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: Bern S-Bahn | Statement: [Wankdorf district of Bern, hasPublicTransport, Bern S-Bahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bern S-Bahn
Context triple: [Wankdorf district of Bern, hasPublicTransport, Bern S-Bahn]
  • A. Bern S-Bahn chosen
    The Bern S-Bahn is a regional commuter rail network serving the city of Bern and its surrounding areas in Switzerland, providing frequent connections between the capital and neighboring towns.
  • 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. St. Gallen S-Bahn
    The St. Gallen S-Bahn is a regional commuter rail network in eastern Switzerland that connects the city of St. Gallen with surrounding towns and municipalities.
  • D. Zugerberg Bahn
    Zugerberg Bahn is a funicular railway in the Swiss canton of Zug that connects the city of Zug with the nearby Zugerberg mountain.
  • E. 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.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e475953c81909f792793ded2057e completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.