Triple

T18500811
Position Surface form Disambiguated ID Type / Status
Subject Spiez railway station E452060 entity
Predicate hasService P182 FINISHED
Object InterRegio 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: InterRegio | Statement: [Spiez railway station, hasService, InterRegio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: InterRegio
Context triple: [Spiez railway station, hasService, InterRegio]
  • A. InterRegio
    InterRegio is a category of medium- to long-distance passenger trains in several European countries that provides relatively fast regional connections between major cities and regions.
  • 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. InterRegio trains chosen
    InterRegio trains are medium- to long-distance passenger services in Switzerland that connect major cities and regions with relatively few stops and regular-interval timetables.
  • D. Interregio-Express
    Interregio-Express is a category of German regional express trains that provide faster, limited-stop connections between cities and regions.
  • E. Euroregion EUREGIO
    Euroregion EUREGIO is a cross-border cooperation region along the Dutch-German border that promotes economic, cultural, and social collaboration between its member municipalities and regions.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c43de48190b49b87c1bb591016 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:36 a.m.