Triple

T2634589
Position Surface form Disambiguated ID Type / Status
Subject Tube roundel E59713 entity
Predicate usedBy P260 FINISHED
Object London Trams 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: London Trams | Statement: [Tube roundel, usedBy, London Trams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Trams
Context triple: [Tube roundel, usedBy, London Trams]
  • A. Tramlink chosen
    Tramlink is a light rail tram system serving the Croydon area and surrounding districts in South London.
  • B. London Buses
    London Buses is the extensive red bus network that provides the primary public bus transport service throughout Greater 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. London Overground
    London Overground is a suburban rail network in London that connects outer districts and some central hubs using a mix of newly built and former National Rail lines, integrated into the city’s public transport system.
  • E. London Underground
    The London Underground is a rapid transit system serving Greater London and surrounding areas, famous as one of the world's oldest and most extensive metro networks.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8e085b0819089db4103c0d8cd9b completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa04cf4e08190938687bfeb0ae353 completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:50 p.m.