Triple

T13339921
Position Surface form Disambiguated ID Type / Status
Subject Urdorf E317796 entity
Predicate servedBy P82 FINISHED
Object S-Bahn Zürich 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: S-Bahn Zürich | Statement: [Urdorf, servedBy, S-Bahn Zürich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S-Bahn Zürich
Context triple: [Urdorf, servedBy, 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. 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.
  • 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. Bern S-Bahn
    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.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d01bf8481908cd3a99e5557b972 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f3ecf4c8190bb9eee699859dc08 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.