Triple

T22231531
Position Surface form Disambiguated ID Type / Status
Subject Soho Square E549476 entity
Predicate formerName P65 FINISHED
Object King 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: King Square | Statement: [Soho Square, formerName, King Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: King Square
Context triple: [Soho Square, formerName, King Square]
  • A. King Square
    King Square is a public square located in the historic coastal city of Brunswick, Georgia.
  • B. King Square chosen
    King Square was the original name of Soho Square, a historic garden square in London’s Soho district.
  • C. King’s Square
    King’s Square is a historic public square in the town of St. George’s, Bermuda, known as a central gathering place surrounded by colonial-era buildings and maritime heritage sites.
  • D. King’s Square
    King’s Square is a historic public park and central gathering place in Uptown Saint John, New Brunswick, known for its Victorian design and surrounding heritage architecture.
  • E. King’s Square
    King’s Square is a notable public square in the city of Fürth, Germany, known as a local urban landmark and gathering place.
  • 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.