Triple

T1092750
Position Surface form Disambiguated ID Type / Status
Subject Zurich Hauptbahnhof E24201 entity
Predicate servedBy P82 FINISHED
Object Railjet E112020 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: Railjet | Statement: [Zurich Hauptbahnhof, servedBy, Railjet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Railjet
Context triple: [Zurich Hauptbahnhof, servedBy, Railjet]
  • A. ÖBB chosen
    ÖBB is Austria’s national railway company, operating most of the country’s passenger and freight train services across domestic and international routes.
  • B. RegioExpress
    RegioExpress is a category of Swiss regional express trains that provide relatively fast, limited-stop connections between major and medium-sized towns.
  • C. InterCityExpress
    InterCityExpress is Germany’s high-speed train service operated by Deutsche Bahn, known for fast long-distance connections between major cities and neighboring countries.
  • D. PKP Intercity
    PKP Intercity is Poland’s primary long-distance passenger rail operator, running intercity and international train services across the country and beyond.
  • E. İZBAN commuter rail
    İZBAN commuter rail is a major suburban rail system serving the İzmir metropolitan area in Turkey, providing high-capacity, rapid transit along the city’s north–south axis.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b99bd06c8190bce1d77b0337b07c completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c2c6b048190b603e9562dde65d0 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:42 p.m.