Triple

T7797418
Position Surface form Disambiguated ID Type / Status
Subject Queens Road E180333 entity
Predicate hasFacility P105 FINISHED
Object Queens Road depot E16882 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: Queens Road depot | Statement: [Queens Road, hasFacility, Queens Road depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queens Road depot
Context triple: [Queens Road, hasFacility, Queens Road depot]
  • A. Queens Road depot chosen
    Queens Road depot is a major tram maintenance and operations facility serving the Manchester Metrolink light rail network.
  • B. Hyde Road depot
    Hyde Road depot is a major bus operating and maintenance facility in Manchester used by Stagecoach Manchester for housing and servicing its fleet.
  • C. London Road depot
    London Road depot is a maintenance and stabling facility for London Underground trains serving the Bakerloo line near Waterloo in central London.
  • D. Nunnery Square depot
    Nunnery Square depot is the main maintenance, operations, and storage facility for the Sheffield Supertram light rail network in Sheffield, England.
  • E. Queen's Park depot
    Queen's Park depot is a London Underground maintenance and stabling facility associated with the Bakerloo line near Queen's Park in northwest 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae982c3b48190a35afe655fb20d55 completed March 30, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb140684ec8190aef5d3cb2e0ea948 completed March 31, 2026, 12:23 a.m.
Created at: March 30, 2026, 4:32 p.m.