Triple

T409583
Position Surface form Disambiguated ID Type / Status
Subject TransPennine Express E9459 entity
Predicate brandOwner P347 FINISHED
Object FirstGroup E51942 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: FirstGroup | Statement: [TransPennine Express, brandOwner, FirstGroup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FirstGroup
Context triple: [TransPennine Express, brandOwner, FirstGroup]
  • A. FirstGroup chosen
    FirstGroup is a major UK-based transport operator that runs bus and rail services across the United Kingdom and North America.
  • B. Rail Delivery Group
    Rail Delivery Group is the industry body that represents and coordinates Britain’s passenger and freight train operators and Network Rail, working to improve and manage the national rail system.
  • C. Keolis
    Keolis is a major French public transport operator that manages and operates bus, tram, metro, and rail networks in numerous cities worldwide.
  • D. TUI Airways
    TUI Airways is a British charter and scheduled airline that primarily serves leisure destinations across Europe and worldwide as part of the TUI Group.
  • E. Virgin Trains
    Virgin Trains was a British train operating company under Richard Branson’s Virgin Group brand that ran long-distance passenger rail services in the UK.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecc098c4819088d127c5ea55ced9 completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a41b49b5e48190b7b4a0cc21bb62d5 completed March 1, 2026, 10:56 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.