Triple

T2720814
Position Surface form Disambiguated ID Type / Status
Subject Bakerloo line E60074 entity
Predicate depot P14646 FINISHED
Object 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.
 E293564 NE FINISHED

How this triple was built (4 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 Road depot | Statement: [Bakerloo line, depot, London Road depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: London Road depot
Context triple: [Bakerloo line, depot, London Road depot]
  • A. Queens Road depot
    Queens Road depot is a major tram maintenance and operations facility serving the Manchester Metrolink light rail network.
  • B. Hammersmith depot
    Hammersmith depot is a London Underground maintenance and stabling facility primarily serving the Circle and Hammersmith & City lines.
  • C. Ruislip depot
    Ruislip depot is a major London Underground maintenance and stabling facility serving trains on the Central line.
  • D. Trafford depot
    Trafford depot is a maintenance and stabling facility serving the Manchester Metrolink light rail network in Greater Manchester, England.
  • E. Beckton station
    Beckton station is the eastern terminus of the Docklands Light Railway’s Beckton branch in East London, serving a largely residential and redeveloped docklands area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: London Road depot
Triple: [Bakerloo line, depot, London Road depot]
Generated description
London Road depot is a maintenance and stabling facility for London Underground trains serving the Bakerloo line near Waterloo in central London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: London Road depot
Target entity description: London Road depot is a maintenance and stabling facility for London Underground trains serving the Bakerloo line near Waterloo in central London.
  • A. Queens Road depot
    Queens Road depot is a major tram maintenance and operations facility serving the Manchester Metrolink light rail network.
  • B. Hammersmith depot
    Hammersmith depot is a London Underground maintenance and stabling facility primarily serving the Circle and Hammersmith & City lines.
  • C. Ruislip depot
    Ruislip depot is a major London Underground maintenance and stabling facility serving trains on the Central line.
  • D. Trafford depot
    Trafford depot is a maintenance and stabling facility serving the Manchester Metrolink light rail network in Greater Manchester, England.
  • E. Beckton station
    Beckton station is the eastern terminus of the Docklands Light Railway’s Beckton branch in East London, serving a largely residential and redeveloped docklands area.
  • F. None of above. chosen

Provenance (5 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdab1cb808190b0789c76bc9cb090 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6914f70819099482893d026f34b completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb726182081909570e4cb7a364e4d completed March 10, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69afb78f9d08819087d6f31fe1e4e61c completed March 10, 2026, 6:17 a.m.
Created at: March 6, 2026, 9:55 p.m.