Triple

T23403837
Position Surface form Disambiguated ID Type / Status
Subject Queen’s Gardens E559577 entity
Predicate hasName P744 FINISHED
Object Queen’s Gardens 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’s Gardens | Statement: [Queen’s Gardens, hasName, Queen’s Gardens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen’s Gardens
Context triple: [Queen’s Gardens, hasName, Queen’s Gardens]
  • A. Queen’s Gardens
    Queen’s Gardens is a public park and green space located in the town of Newcastle-under-Lyme in Staffordshire, England.
  • B. Queen’s Gardens
    Queen’s Gardens is a public park and landscaped open space located in the centre of Croydon, London, providing greenery, seating, and community recreation areas amid the urban environment.
  • C. Queen’s Garden
    Queen’s Garden is a historic, formally designed garden at Sudeley Castle in England, renowned for its traditional English roses and royal associations.
  • D. King’s Gardens
    King’s Gardens is a historic seafront park in Southport, England, known for its ornamental gardens, lakes, and family-friendly recreational spaces.
  • E. Queen Mary's Gardens
    Queen Mary's Gardens is a renowned formal rose garden and public green space located within Regent's Park in central London.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4e16f9881908ea4bef465e3af11 completed April 29, 2026, 6:27 a.m.
Created at: April 17, 2026, 5:37 p.m.