Triple

T1116004
Position Surface form Disambiguated ID Type / Status
Subject Transport for London E11100 entity
Predicate operates P24 FINISHED
Object Docklands Light Railway network E59714 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: Docklands Light Railway network | Statement: [Transport for London, operates, Docklands Light Railway network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Docklands Light Railway network
Context triple: [Transport for London, operates, Docklands Light Railway network]
  • A. Docklands Light Railway chosen
    Docklands Light Railway is an automated light metro system serving the redeveloped Docklands area and parts of East and Southeast London.
  • B. Tyne and Wear Metro
    Tyne and Wear Metro is a light rail rapid transit system serving Newcastle upon Tyne, Sunderland, and surrounding areas in North East England.
  • C. Newcastle Light Rail
    Newcastle Light Rail is a modern tram system serving central Newcastle, New South Wales, providing frequent urban public transport between key city locations.
  • D. S1 Line
    The S1 Line is a medium-capacity maglev rapid transit line in the Beijing Subway system serving the western suburbs of the city.
  • E. 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.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bba2b550819081f8a100638d2fba completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59a4316c8190a4adc10e454c2855 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:43 p.m.