Triple

T11414564
Position Surface form Disambiguated ID Type / Status
Subject Oyster pay as you go E270456 entity
Predicate appliesTo P1129 FINISHED
Object Tramlink E128281 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: Tramlink | Statement: [Oyster pay as you go, appliesTo, Tramlink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tramlink
Context triple: [Oyster pay as you go, appliesTo, Tramlink]
  • A. Tramlink chosen
    Tramlink is a light rail tram system serving the Croydon area and surrounding districts in South London.
  • B. City Thameslink
    City Thameslink is a central London railway station on the Thameslink route, serving commuter and regional services through the City of London.
  • C. Sheffield Supertram
    Sheffield Supertram is a modern light rail and tram network serving the city of Sheffield and its surrounding areas in South Yorkshire, England.
  • D. TfW Rail
    TfW Rail is the train operating company responsible for providing passenger rail services across Wales and the bordering regions of England under the Transport for Wales brand.
  • E. Merseyrail
    Merseyrail is a commuter rail network serving the Liverpool City Region and surrounding areas in Merseyside, England.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801ae47d0819098123505309c4a68 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b86936348190b8fa4125995c2a85 completed April 20, 2026, 5:23 a.m.
Created at: April 8, 2026, 9:34 p.m.