Triple

T20756722
Position Surface form Disambiguated ID Type / Status
Subject Soho Square Gardens E510868 entity
Predicate partOf P40 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: [Soho Square Gardens, partOf, Soho Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soho Square
Context triple: [Soho Square Gardens, partOf, 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c23113c88190a567c3a098cf7552 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:35 p.m.