Triple

T18128434
Position Surface form Disambiguated ID Type / Status
Subject Transport in Bavaria E433943 entity
Predicate usesNetwork P5033 FINISHED
Object S‑Bahn Munich 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 Munich | Statement: [Transport in Bavaria, usesNetwork, S‑Bahn Munich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S‑Bahn Munich
Context triple: [Transport in Bavaria, usesNetwork, S‑Bahn Munich]
  • A. Munich S-Bahn chosen
    The Munich S-Bahn is a rapid transit and commuter rail network serving Munich and its surrounding metropolitan region in Bavaria, Germany.
  • B. Munich U-Bahn
    The Munich U-Bahn is the German city's rapid transit metro system, forming a core part of its public transportation network with multiple underground lines serving urban and suburban areas.
  • C. Munich S-Bahn trunk line
    The Munich S-Bahn trunk line is the central underground rail corridor that carries most S-Bahn routes through Munich’s city center, forming the backbone of the regional rapid transit network.
  • D. S-Bahn Nuremberg
    S-Bahn Nuremberg is a regional suburban rail network serving Nuremberg and its surrounding metropolitan area in Bavaria, Germany.
  • E. Munich tram network
    The Munich tram network is an extensive street-level light rail system that complements the city’s U-Bahn and S-Bahn by providing dense urban coverage across Munich.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf061b48190b67356f1c266b80a completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.