Triple

T2634447
Position Surface form Disambiguated ID Type / Status
Subject London Underground roundel E59710 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: [London Underground roundel, appliesTo, Tramlink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tramlink
Context triple: [London Underground roundel, 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_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_69af98bb55f08190bb072c9b106aa748 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:50 p.m.