Triple

T10682995
Position Surface form Disambiguated ID Type / Status
Subject Nottingham Station tram stop E251802 entity
Predicate operator P179 FINISHED
Object Nottingham Express Transit E158797 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: Nottingham Express Transit | Statement: [Nottingham Station tram stop, operator, Nottingham Express Transit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nottingham Express Transit
Context triple: [Nottingham Station tram stop, operator, Nottingham Express Transit]
  • A. Nottingham Express Transit chosen
    Nottingham Express Transit is a modern tram network serving the city of Nottingham and its surrounding areas in England.
  • B. Nottingham City Transport
    Nottingham City Transport is the main bus operator serving Nottingham and its surrounding areas, providing extensive urban and suburban public transport services.
  • 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. West Midlands Metro
    West Midlands Metro is a light rail/tram system serving Birmingham and the wider West Midlands region in England.
  • E. Tramlink
    Tramlink is a light rail tram system serving the Croydon area and surrounding districts in South London.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc43b9481908f35490db93db76c completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6fa3f54819081910a2589ddbc99 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:10 p.m.