Triple

T22164686
Position Surface form Disambiguated ID Type / Status
Subject S9 line E547759 entity
Predicate branding 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: [S9 line, branding, S-Bahn Zürich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S-Bahn Zürich
Context triple: [S9 line, branding, 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. S13 (Zürich S-Bahn)
    S13 (Zürich S-Bahn) is a regional suburban rail service in the Zürich S-Bahn network that connects the city with surrounding areas as part of its integrated public transport system.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a309d8081908f4540fe2da63010 completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:34 p.m.