Triple

T2720819
Position Surface form Disambiguated ID Type / Status
Subject Bakerloo line E60074 entity
Predicate namedAfter P63 FINISHED
Object Baker Street E205753 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: Baker Street | Statement: [Bakerloo line, namedAfter, Baker Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baker Street
Context triple: [Bakerloo line, namedAfter, Baker Street]
  • A. Baker Street chosen
    Baker Street is a famous street in London best known for its association with Sherlock Holmes and its mix of shops, offices, and tourist attractions.
  • B. Edgware Road
    Edgware Road is a major thoroughfare in northwest London known for its diverse communities, Middle Eastern restaurants, and role as a key route into central London.
  • C. Wardour Street
    Wardour Street is a well-known street in London’s Soho district, historically associated with the film industry, music venues, and vibrant nightlife.
  • D. Berkeley Square
    Berkeley Square is a historic garden square in London’s affluent Mayfair district, known for its elegant Georgian architecture and plane trees.
  • E. Victoria Street, London
    Victoria Street, London is a major thoroughfare in the City of Westminster known for its government buildings, offices, shops, and proximity to landmarks such as Westminster Abbey and the Houses of Parliament.
  • 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_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_69afbbc05d148190b6a0faf10443519d completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:55 p.m.