Triple

T9416692
Position Surface form Disambiguated ID Type / Status
Subject Brixton E227039 entity
Predicate hasPublicSpace P105 FINISHED
Object Windrush Square E798266 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: Windrush Square | Statement: [Brixton, hasPublicSpace, Windrush Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windrush Square
Context triple: [Brixton, hasPublicSpace, Windrush Square]
  • A. Windrush Square chosen
    Windrush Square is a public square in Brixton, London, that serves as a focal point for commemorating the Windrush generation and celebrating Black British heritage and culture.
  • B. Wright Square
    Wright Square is a historic public square located in the coastal city of Brunswick, Georgia.
  • C. Wright Square
    Wright Square is one of Savannah, Georgia’s original and most historic public squares, known for its central location, monuments, and surrounding 18th- and 19th-century architecture.
  • D. Forster Square
    Forster Square is a public square and transport hub in central Bradford, West Yorkshire, known for its adjacent railway station and nearby shopping and commercial developments.
  • E. Argyle Square
    Argyle Square is a retail shopping center located in Wilsonville, Oregon, featuring a variety of stores and services for local residents and visitors.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68cb4be08190a47f901a9703f9db completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11029d3348190baf0dba766c4e960 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:48 p.m.