Triple

T2773510
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan line E61513 entity
Predicate servesStation P839 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: [Metropolitan line, servesStation, Baker Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baker Street
Context triple: [Metropolitan line, servesStation, 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_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_69afc64c83748190921589bec20dec58 completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:57 p.m.