Triple

T12646309
Position Surface form Disambiguated ID Type / Status
Subject Kaikōura District E302031 entity
Predicate hasTown P847 FINISHED
Object Kaikōura E145967 NE FINISHED

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: Kaikōura | Statement: [Kaikōura District, hasTown, Kaikōura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaikōura
Context triple: [Kaikōura District, hasTown, Kaikōura]
  • A. Kaikōura chosen
    Kaikōura is a coastal New Zealand town renowned for its dramatic mountain-and-sea scenery and world-class marine wildlife encounters, especially whale watching.
  • B. Greymouth
    Greymouth is a coastal town on New Zealand’s West Coast known for its gold-mining history, rugged scenery, and role as a regional service and transport hub.
  • 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. Whangārei
    Whangārei is a coastal city in northern New Zealand known as the main urban center of the Northland Region, featuring a busy harbor, waterfalls, and access to scenic beaches.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614cefdc81908cfc4a4d04aa6eda completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e25d24e481908253e1af630835f1 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 5:17 p.m.