Triple

T21075652
Position Surface form Disambiguated ID Type / Status
Subject Creston-Kenilworth E519226 entity
Predicate hasPark P105 FINISHED
Object Kenilworth 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: Kenilworth Park | Statement: [Creston-Kenilworth, hasPark, Kenilworth Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenilworth Park
Context triple: [Creston-Kenilworth, hasPark, Kenilworth Park]
  • A. Kenilworth Park chosen
    Kenilworth Park is an urban green space in Washington, D.C., known for its recreational fields and proximity to wetlands along the Anacostia River.
  • B. Saughton Park
    Saughton Park is a public park in Edinburgh, Scotland, known for its formal gardens, glasshouse, and recreational facilities.
  • C. Barlow Park
    Barlow Park is a public recreational park located in the city of Ripon in central Wisconsin.
  • D. Baguley Park
    Baguley Park is a public green space in the Wythenshawe area of Manchester, England, offering recreational areas and natural surroundings for local residents.
  • E. Nuttall Park
    Nuttall Park is a public recreational park in Ramsbottom, Greater Manchester, known for its open green spaces, riverside walks, and family-friendly facilities.
  • 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d690dc8190839968b562e6b8bb completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:48 p.m.