Triple

T18563262
Position Surface form Disambiguated ID Type / Status
Subject Ruakākā E453698 entity
Predicate near P350 FINISHED
Object One Tree Point 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: One Tree Point | Statement: [Ruakākā, near, One Tree Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One Tree Point
Context triple: [Ruakākā, near, One Tree Point]
  • A. One Tree Point chosen
    One Tree Point is a coastal settlement in New Zealand known for its waterfront location on Bream Bay and proximity to Whangārei Harbour.
  • B. Garden Point
    Garden Point is an alternative name for Pirlangimpi, a small Indigenous community located on Melville Island in Australia’s Northern Territory.
  • C. Speers Point
    Speers Point is a lakeside suburb in New South Wales, Australia, known as the administrative centre of the City of Lake Macquarie.
  • D. Chapel Point
    Chapel Point is a historic riverside area in Charles County, Maryland, known for its early Catholic heritage and scenic setting along the Port Tobacco River.
  • E. Halletts Point
    Halletts Point is a large-scale waterfront residential and mixed-use development on the Astoria peninsula in Queens, New York City.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53afc57448190abd90167d7e12a18 completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:42 a.m.