Triple

T1804745
Position Surface form Disambiguated ID Type / Status
Subject Virgin Trains E39794 entity
Predicate operatedUnderRegulationOf P12605 FINISHED
Object UK rail franchising system LITERAL 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: UK rail franchising system | Statement: [Virgin Trains, operatedUnderRegulationOf, UK rail franchising system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatedUnderRegulationOf
Context triple: [Virgin Trains, operatedUnderRegulationOf, UK rail franchising system]
  • A. regulationStatus
    Indicates the regulatory condition or compliance state that applies to an entity under relevant rules or laws.
  • B. governedByLegalRegime chosen
    Indicates that an entity is subject to, regulated by, or operating under a specific legal framework or set of legal rules.
  • C. alsoRegulates
    Indicates that an entity not only has a primary regulatory effect on a target but additionally regulates that same target through another, supplementary regulatory relationship.
  • D. allowsRegulationOf
    Indicates that one entity grants the authority, means, or conditions for another entity to control, manage, or govern something.
  • E. regulatoryType
    Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
  • F. None of above.

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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aba67721788190951beae25e885457 completed March 7, 2026, 4:15 a.m.
PD Predicate disambiguation batch_69aa61d514c081908197ac1f7c7d7a88 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:32 p.m.