Triple

T7922311
Position Surface form Disambiguated ID Type / Status
Subject Davos Dorf railway station E183973 entity
Predicate hasService P182 FINISHED
Object RegioExpress E20911 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: RegioExpress | Statement: [Davos Dorf railway station, hasService, RegioExpress]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RegioExpress
Context triple: [Davos Dorf railway station, hasService, RegioExpress]
  • A. RegioExpress chosen
    RegioExpress is a category of Swiss regional express trains that provide relatively fast, limited-stop connections between major and medium-sized towns.
  • B. Interregio-Express
    Interregio-Express is a category of German regional express trains that provide faster, limited-stop connections between cities and regions.
  • C. Regional-Express
    Regional-Express is a category of medium-distance passenger trains in Germany that provide relatively fast regional connections between cities and towns, operated under the Deutsche Bahn network.
  • D. Voralpen-Express
    The Voralpen-Express is a scenic Swiss intercity train service that connects eastern and central Switzerland across the pre-Alpine region.
  • E. D-Zug
    D-Zug was a former class of fast long-distance passenger trains in German-speaking countries, known for providing relatively quick intercity connections before being largely superseded by newer service categories.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a9499cc8190b6bd81f4625c77ab completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bf3c3288190ac3df917be92f9f8 completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:06 p.m.