Triple

T20059534
Position Surface form Disambiguated ID Type / Status
Subject Kāpiti Coast District E499431 entity
Predicate hasTown P847 FINISHED
Object Raumati South 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: Raumati South | Statement: [Kāpiti Coast District, hasTown, Raumati South]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raumati South
Context triple: [Kāpiti Coast District, hasTown, Raumati South]
  • A. Raumati South chosen
    Raumati South is a coastal residential suburb on the Kāpiti Coast of New Zealand’s North Island, known for its beaches and relaxed community atmosphere.
  • B. Raumanga
    Raumanga is a residential suburb of Whangārei in the Northland Region of New Zealand.
  • C. Paremata
    Paremata is a coastal suburb of Porirua in the Wellington region of New Zealand, known for its harbour views and proximity to key transport routes.
  • D. Ruatoria
    Ruatoria is a small rural town in New Zealand’s Gisborne region, known as a center of Māori culture and community on the North Island’s East Coast.
  • E. Matakohe
    Matakohe is a small rural settlement in New Zealand best known for its Kauri Museum and historic connections to the kauri gum and timber industries.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66374f4a48190beb575a6c84ebdb4 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.