Triple

T18483930
Position Surface form Disambiguated ID Type / Status
Subject Kaipara Harbour E451636 entity
Predicate locatedNear P294 FINISHED
Object Dargaville 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: Dargaville | Statement: [Kaipara Harbour, locatedNear, Dargaville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dargaville
Context triple: [Kaipara Harbour, locatedNear, Dargaville]
  • A. Dargaville chosen
    Dargaville is a rural town on the west coast of New Zealand’s North Island, known for its kauri timber history and location along the Wairoa River.
  • B. Gisborne
    Gisborne is a coastal city on the northeastern tip of New Zealand’s North Island, known for its wineries, surf beaches, and being one of the first places in the world to see the sunrise.
  • C. Wanganui
    Wanganui is a city and surrounding region on New Zealand’s North Island, known for the Whanganui River and its strong rugby culture.
  • D. Wanganui
    Wanganui is a rural locality within the Byron Shire region of New South Wales, Australia.
  • E. Kerikeri
    Kerikeri is a historic town in New Zealand known for its subtropical climate, orchards, and early European settlement sites such as the Stone Store and Kemp House.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d5951c81909f44362bc4101333 completed April 19, 2026, 7:49 p.m.
Created at: April 10, 2026, 11:35 a.m.