Triple

T19740487
Position Surface form Disambiguated ID Type / Status
Subject Prague–Plzeň railway line E474101 entity
Predicate servedBy P82 FINISHED
Object RegioJet 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: RegioJet | Statement: [Prague–Plzeň railway line, servedBy, RegioJet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RegioJet
Context triple: [Prague–Plzeň railway line, servedBy, RegioJet]
  • A. RegioJet chosen
    RegioJet is a Czech private transport company best known for operating long-distance and regional passenger train and bus services across Central Europe.
  • 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. Nightjet
    Nightjet is a network of overnight long-distance passenger trains operated by Austrian Federal Railways (ÖBB) across several European countries.
  • D. Czech Express
    Czech Express is the famous nickname of Emil Zátopek, the legendary Czech long-distance runner renowned for his dominance in the 1940s and 1950s and his unprecedented triple gold performance at the 1952 Helsinki Olympics.
  • E. InterRegio trains
    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.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6516159c8819090022094aa91902b completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.