Triple

T2773532
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan line E61513 entity
Predicate depot P14646 FINISHED
Object Neasden Depot
Neasden Depot is a major London Underground maintenance and stabling facility serving trains on the Metropolitan line.
 E301831 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: Neasden Depot | Statement: [Metropolitan line, depot, Neasden Depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neasden Depot
Context triple: [Metropolitan line, depot, Neasden Depot]
  • A. Ealing Common Depot
    Ealing Common Depot is a London Underground maintenance and stabling facility serving primarily the District line in west London.
  • B. Queens Road depot
    Queens Road depot is a major tram maintenance and operations facility serving the Manchester Metrolink light rail network.
  • C. Hammersmith depot
    Hammersmith depot is a London Underground maintenance and stabling facility primarily serving the Circle and Hammersmith & City lines.
  • D. Barking depot
    Barking depot is a London Underground maintenance and stabling facility serving trains on the Hammersmith & City line.
  • E. 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.
  • 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: Neasden Depot
Triple: [Metropolitan line, depot, Neasden Depot]
Generated description
Neasden Depot is a major London Underground maintenance and stabling facility serving trains on the Metropolitan line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neasden Depot
Target entity description: Neasden Depot is a major London Underground maintenance and stabling facility serving trains on the Metropolitan line.
  • A. Ealing Common Depot
    Ealing Common Depot is a London Underground maintenance and stabling facility serving primarily the District line in west London.
  • B. Queens Road depot
    Queens Road depot is a major tram maintenance and operations facility serving the Manchester Metrolink light rail network.
  • C. Hammersmith depot
    Hammersmith depot is a London Underground maintenance and stabling facility primarily serving the Circle and Hammersmith & City lines.
  • D. Barking depot
    Barking depot is a London Underground maintenance and stabling facility serving trains on the Hammersmith & City line.
  • E. 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.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd7e29e08190921fd4ac9d0679ec completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce89a144819096f9230c8d95ce3f completed March 10, 2026, 7:55 a.m.
NEDg Description generation batch_69afcf7cc6f08190aefbe07ef51f1928 completed March 10, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69afcfd803848190921f73fe1b15a01b completed March 10, 2026, 8:01 a.m.
Created at: March 6, 2026, 9:57 p.m.