Triple

T2754315
Position Surface form Disambiguated ID Type / Status
Subject Hammersmith & City line E61063 entity
Predicate depot P14646 FINISHED
Object Hammersmith depot E286904 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: Hammersmith depot | Statement: [Hammersmith & City line, depot, Hammersmith depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hammersmith depot
Context triple: [Hammersmith & City line, depot, Hammersmith depot]
  • A. Hammersmith depot chosen
    Hammersmith depot is a London Underground maintenance and stabling facility primarily serving the Circle and Hammersmith & City lines.
  • B. Ealing Common Depot
    Ealing Common Depot is a London Underground maintenance and stabling facility serving primarily the District line in west London.
  • 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. Queens Road depot
    Queens Road depot is a major tram maintenance and operations facility serving the Manchester Metrolink light rail network.
  • E. Ruislip depot
    Ruislip depot is a major London Underground maintenance and stabling facility serving trains on the Central line.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb7073d081909da84b21015972f2 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc03e69508190b55a4ad83fca3a45 completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:56 p.m.