Triple

T18862835
Position Surface form Disambiguated ID Type / Status
Subject Pero's Bridge E461357 entity
Predicate connects P390 FINISHED
Object Queen Square area 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: Queen Square area | Statement: [Pero's Bridge, connects, Queen Square area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen Square area
Context triple: [Pero's Bridge, connects, Queen Square area]
  • A. Chester Square Area
    Chester Square Area is a historic residential neighborhood in Boston known for its 19th-century architecture and significance within the city’s preserved historic districts.
  • B. Queen Square
    Queen Square is a historic public square located in the coastal city of Brunswick, Georgia.
  • C. Queen Square chosen
    Queen Square is a historic garden square in the Bloomsbury district of central London, known for its Georgian architecture and nearby medical and academic institutions.
  • D. Queen Square
    Queen Square is a historic public park and green space located in the Uptown area of Saint John, New Brunswick.
  • 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.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a304d4819092f14b7932d01afe completed April 20, 2026, 6:07 a.m.
Created at: April 10, 2026, 11:57 a.m.