Triple

T18018209
Position Surface form Disambiguated ID Type / Status
Subject Farringdon Without E431047 entity
Predicate contains P35 FINISHED
Object Chancery Lane area — NE NERFINISHED

How this triple was built (3 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: Chancery Lane area | Statement: [Farringdon Without, contains, Chancery Lane area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chancery Lane area
Context triple: [Farringdon Without, contains, Chancery Lane area]
  • A. Fenchurch Street area
    The Fenchurch Street area is a commercial district in the City of London known for its dense cluster of office buildings, financial services firms, and proximity to major transport links.
  • B. Syon Lane area
    Syon Lane area is a suburban district in west London characterized by residential neighborhoods, local amenities, and its proximity to Syon Park and the River Thames.
  • C. Harley Street area
    The Harley Street area is a prestigious district in central London renowned for its high concentration of private medical and healthcare practices.
  • D. Marylebone High Street area
    The Marylebone High Street area is an affluent central London neighborhood known for its elegant Georgian architecture, boutique shops, and village-like atmosphere just north of Oxford Street.
  • E. Charing Cross area
    The Charing Cross area is a central London district around the historic Charing Cross railway station and Trafalgar Square, often considered the traditional heart and geographic center of the city.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chancery Lane area
Target entity description: The Chancery Lane area is a historic legal and commercial district in central London, known for its association with the legal profession, Inns of Court, and longstanding law-related institutions.
  • A. Fenchurch Street area
    The Fenchurch Street area is a commercial district in the City of London known for its dense cluster of office buildings, financial services firms, and proximity to major transport links.
  • B. Syon Lane area
    Syon Lane area is a suburban district in west London characterized by residential neighborhoods, local amenities, and its proximity to Syon Park and the River Thames.
  • C. Harley Street area
    The Harley Street area is a prestigious district in central London renowned for its high concentration of private medical and healthcare practices.
  • D. Marylebone High Street area
    The Marylebone High Street area is an affluent central London neighborhood known for its elegant Georgian architecture, boutique shops, and village-like atmosphere just north of Oxford Street.
  • E. Charing Cross area
    The Charing Cross area is a central London district around the historic Charing Cross railway station and Trafalgar Square, often considered the traditional heart and geographic center of the city.
  • F. None of above. chosen

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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9bf85c08190a40cef4c6d7b566a completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.