Triple

T2548259
Position Surface form Disambiguated ID Type / Status
Subject Syon House grounds E57956 entity
Predicate near P350 FINISHED
Object Kew Gardens E66556 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: Kew Gardens | Statement: [Syon House grounds, near, Kew Gardens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kew Gardens
Context triple: [Syon House grounds, near, Kew Gardens]
  • A. Kew Gardens
    Kew Gardens is a residential neighborhood in central Queens, New York City, known for its tree-lined streets, prewar apartment buildings, and role as the borough’s civic center.
  • B. Kew chosen
    Kew is a district in the London Borough of Richmond upon Thames, best known for housing the Royal Botanic Gardens and several major national institutions.
  • C. Kew
    Kew is a leafy, affluent suburb of Melbourne, Australia, known for its historic homes, prestigious schools, and extensive parklands.
  • D. Kew Palace
    Kew Palace is a historic royal residence in Kew Gardens, London, best known as a retreat for King George III and his family.
  • E. Oxford Botanic Garden
    Oxford Botanic Garden is a historic botanical garden in Oxford, England, renowned as one of the oldest scientific gardens in the world and a major center for plant research, conservation, and public education.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2e672948190bb7fe9b47535a172 completed March 7, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69af655a0f088190a7ac30c6df1fdff6 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:47 p.m.