Triple

T20314267
Position Surface form Disambiguated ID Type / Status
Subject Arriva Czech Republic E510338 entity
Predicate isPartOf P10 FINISHED
Object European Arriva operations 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: European Arriva operations | Statement: [Arriva Czech Republic, isPartOf, European Arriva operations]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: European Arriva operations
Context triple: [Arriva Czech Republic, isPartOf, European Arriva operations]
  • A. Arriva Poland
    Arriva Poland is a Polish public transport operator providing bus and rail services as part of the wider Arriva Group’s European operations.
  • B. Arriva North West
    Arriva North West is a major regional bus operator providing public transport services across North West England.
  • C. Arriva Netherlands (regional buses and trains)
    Arriva Netherlands (regional buses and trains) is a major public transport operator in the Netherlands that runs regional bus and train services under contract in various provinces and municipalities.
  • D. Arriva UK Trains
    Arriva UK Trains is a major British train operating company that manages several passenger rail franchises and services across the United Kingdom.
  • E. Arriva chosen
    Arriva is a major European public transport company that operates bus, coach, train, tram, and waterbus services across multiple countries.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67745e2448190b5611382fe338bb2 completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:19 a.m.