Triple

T8911061
Position Surface form Disambiguated ID Type / Status
Subject CST E212181 entity
Predicate associatedWith P37 FINISHED
Object Cannon Street E76510 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: Cannon Street | Statement: [CST, associatedWith, Cannon Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cannon Street
Context triple: [CST, associatedWith, 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. 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.
  • E. Farringdon Street
    Farringdon Street was the original London terminus of the Metropolitan Railway, playing a key role in the early development of the city's underground rail network.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6523b9348190a7cefac9e73e2004 completed April 1, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047408b20819084d0b9b831f0f2c0 completed April 3, 2026, 11:03 p.m.
Created at: March 30, 2026, 6:55 p.m.