Triple

T17599864
Position Surface form Disambiguated ID Type / Status
Subject South Taranaki Bight E428664 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Hāwera 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: Hāwera | Statement: [South Taranaki Bight, hasNearbySettlement, Hāwera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hāwera
Context triple: [South Taranaki Bight, hasNearbySettlement, Hāwera]
  • A. Hāwera chosen
    Hāwera is a town in New Zealand known for its dairy industry and as a service and commercial hub in the South Taranaki District.
  • B. Timaru
    Timaru is a coastal port town and service center on the east coast of New Zealand’s South Island.
  • C. Wanganui
    Wanganui is a rural locality within the Byron Shire region of New South Wales, Australia.
  • D. Wanganui
    Wanganui is a city and surrounding region on New Zealand’s North Island, known for the Whanganui River and its strong rugby culture.
  • E. Waimate
    Waimate is a small rural town in the South Island of New Zealand, known for its agricultural economy, historic buildings, and proximity to scenic natural landscapes.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4812d48190bf8e899fa8f7fbe4 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.