Triple

T22231521
Position Surface form Disambiguated ID Type / Status
Subject King Square E549476 entity
Predicate originalNameOf P65 FINISHED
Object Soho Square 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: Soho Square | Statement: [King Square, originalNameOf, Soho Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soho Square
Context triple: [King Square, originalNameOf, Soho Square]
  • A. Soho Square chosen
    Soho Square is a historic garden square in London’s Soho district, known as a small green oasis surrounded by offices, restaurants, and media businesses.
  • B. Manchester Square
    Manchester Square is a historic garden square in the Marylebone district of central London, known for its elegant Georgian architecture and cultural landmarks.
  • C. Manchester Square
    Manchester Square is a residential neighborhood in South Los Angeles known for its proximity to major thoroughfares and the Los Angeles International Airport.
  • D. Finsbury Square
    Finsbury Square is a public garden square and commercial area in central London, known for its historic surroundings and proximity to the City’s financial district.
  • E. Thurloe Square
    Thurloe Square is a garden square in South Kensington, London, known for its 19th-century terraced houses and proximity to major museums such as the Victoria and Albert Museum.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf3de648190986a734f19643a8c completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:38 p.m.