Triple

T109527
Position Surface form Disambiguated ID Type / Status
Subject Fife Circle Line E2214 entity
Predicate operator P179 FINISHED
Object ScotRail E2216 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: ScotRail | Statement: [Fife Circle Line, operator, ScotRail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ScotRail
Context triple: [Fife Circle Line, operator, ScotRail]
  • A. ScotRail chosen
    ScotRail is the national train operating company in Scotland, providing most passenger rail services across the country.
  • B. National Rail
    National Rail is the collective name for the passenger rail services and network in Great Britain, encompassing most regional and intercity train operations outside of urban metro systems.
  • C. Northern Trains
    Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern England.
  • D. Transport for Wales Rail
    Transport for Wales Rail is a Welsh train operating company that provides regional and intercity rail services across Wales and into parts of England.
  • E. TransPennine Express
    TransPennine Express is a British train operating company providing intercity and regional rail services across northern England and into Scotland.
  • 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a256ce54b48190a3337f5f45d82859 completed Feb. 28, 2026, 2:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69a27c04949481908af8c8426789bc53 completed Feb. 28, 2026, 5:24 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.