Triple

T21904021
Position Surface form Disambiguated ID Type / Status
Subject S7 line E540883 entity
Predicate hasBrand P1500 FINISHED
Object S-Bahn Zürich 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: S-Bahn Zürich | Statement: [S7 line, hasBrand, S-Bahn Zürich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S-Bahn Zürich
Context triple: [S7 line, hasBrand, S-Bahn Zürich]
  • 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. 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.
  • C. Aargau S-Bahn
    The Aargau S-Bahn is a regional commuter rail network in the Swiss canton of Aargau that connects towns and cities through frequent, coordinated train services.
  • D. 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.
  • E. 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.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d4c0248190909172decd7cbc64 completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:26 p.m.