Triple

T5493691
Position Surface form Disambiguated ID Type / Status
Subject Nottingham to Skegness E123761 entity
Predicate typicalRollingStock P5426 FINISHED
Object Class 156 E125552 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: Class 156 | Statement: [Nottingham to Skegness, typicalRollingStock, Class 156]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Class 156
Context triple: [Nottingham to Skegness, typicalRollingStock, Class 156]
  • A. Class 150 train
    The Class 150 train is a British diesel multiple unit introduced in the 1980s for regional and commuter services, widely used across the UK rail network.
  • B. Y class
    Y class is the standard economy fare class used by airlines, typically representing full-fare economy tickets with the least restrictions on changes and refunds.
  • C. Class 165 train
    The Class 165 train is a British diesel multiple unit used primarily for suburban and regional passenger services, notably around the Thames Valley and Chiltern routes.
  • D. Class 166 train
    The Class 166 train is a British diesel multiple unit used primarily for regional and commuter services, notably in the Great Western Railway network.
  • E. Class 156 Super Sprinter chosen
    The Class 156 Super Sprinter is a British two-car diesel multiple unit train built in the late 1980s for regional and local passenger services across the UK rail network.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9281a0148190bb7a8dae9c991b9c completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c8fb5688190b29f27ce13324943 completed March 22, 2026, 4:14 a.m.
Created at: March 20, 2026, 2:10 p.m.