Triple

T289153
Position Surface form Disambiguated ID Type / Status
Subject Shrewsbury railway station E5951 entity
Predicate operatedBy P86 FINISHED
Object Transport for Wales E10845 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: Transport for Wales | Statement: [Shrewsbury railway station, operatedBy, Transport for Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transport for Wales
Context triple: [Shrewsbury railway station, operatedBy, Transport for Wales]
  • A. Transport for Wales Rail chosen
    Transport for Wales Rail is a Welsh train operating company that provides regional and intercity rail services across Wales and into parts of England.
  • B. Northern Trains
    Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern England.
  • C. TransPennine Express
    TransPennine Express is a British train operating company providing intercity and regional rail services across northern England and into Scotland.
  • D. Transport for London
    Transport for London is the local government body responsible for managing and overseeing the public transport network and major roads in Greater London.
  • E. 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.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e4df5508190ab75115ac6b3964e completed Feb. 28, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3a33a38b08190951aa413588c59e1 completed March 1, 2026, 2:23 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.