Triple

T20858410
Position Surface form Disambiguated ID Type / Status
Subject Monument Street E513544 entity
Predicate hasNearby P350 FINISHED
Object Cannon Street NE NERFINISHED

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: Cannon Street | Statement: [Monument Street, hasNearby, Cannon Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cannon Street
Context triple: [Monument Street, hasNearby, Cannon Street]
  • A. Cannon Street chosen
    Cannon Street is a major road in the City of London known for its financial district location, railway station, and proximity to landmarks such as St Paul’s Cathedral and the River Thames.
  • B. Farringdon Road
    Farringdon Road is a major thoroughfare in central London running through the Clerkenwell area, known for its historic role in the city’s transport and commercial development.
  • C. Great Portland Street
    Great Portland Street is a London Underground station in central London, located near Regent's Park and Marylebone Road.
  • D. Coventry Street
    Coventry Street is a busy thoroughfare in London’s West End, known for its theatres, nightlife, and proximity to Piccadilly Circus and Leicester Square.
  • E. Tottenham Court Road
    Tottenham Court Road is a major shopping and entertainment street in central London, known for its electronics stores, proximity to the West End, and busy Underground station.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a9fd7881908ae4c5c63f64efc0 completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 12:44 p.m.