Triple

T21542608
Position Surface form Disambiguated ID Type / Status
Subject Quaggy E531529 entity
Predicate flowsThrough P225 FINISHED
Object Grove Park 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: Grove Park | Statement: [Quaggy, flowsThrough, Grove Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grove Park
Context triple: [Quaggy, flowsThrough, Grove Park]
  • A. Grove Park chosen
    Grove Park is a suburban area in southeast London, England, known for its residential character and rail links into central London.
  • B. Grove Park
    Grove Park is a public recreational park located in the city of Wyoming, Ohio.
  • C. Grove Park
    Grove Park is a residential riverside district within the west London suburb of Chiswick, known for its leafy streets and proximity to the River Thames.
  • D. Grove Park, Carshalton
    Grove Park, Carshalton is a historic riverside public park in the London Borough of Sutton, known for its landscaped gardens, ornamental features, and access to the River Wandle.
  • E. Grosvenor Park
    Grosvenor Park is a large Victorian-era public park in Chester, England, known for its formal gardens, riverside setting, and historic features.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58c34808190b0eb54ba01e2cc13 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.