Triple

T1092746
Position Surface form Disambiguated ID Type / Status
Subject Zurich Hauptbahnhof E24201 entity
Predicate servedBy P82 FINISHED
Object InterCity trains E20070 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: InterCity trains | Statement: [Zurich Hauptbahnhof, servedBy, InterCity trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: InterCity trains
Context triple: [Zurich Hauptbahnhof, servedBy, InterCity trains]
  • A. 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.
  • B. InterCity chosen
    InterCity is a category of long-distance passenger trains in several European countries, notably providing fast, regular intercity rail services.
  • C. High Speed Train
    The High Speed Train is a British high-speed diesel-powered passenger train, best known for its long-distance intercity services and record-setting performance on the UK rail network.
  • D. InterCity CrossCountry
    InterCity CrossCountry was a former British Rail sector that operated long-distance cross-country passenger train services across the United Kingdom before privatisation.
  • E. RegioExpress
    RegioExpress is a category of Swiss regional express trains that provide relatively fast, limited-stop connections between major and medium-sized 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_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_69ac59a058b88190beb883bf35377316 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:42 p.m.