Triple

T9775800
Position Surface form Disambiguated ID Type / Status
Subject Ngāpuhi E237243 entity
Predicate hasMainTown P14082 FINISHED
Object Kaikohe E453087 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: Kaikohe | Statement: [Ngāpuhi, hasMainTown, Kaikohe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaikohe
Context triple: [Ngāpuhi, hasMainTown, Kaikohe]
  • A. Kaikohe chosen
    Kaikohe is a small inland town in New Zealand known as the commercial and service hub of the Far North district.
  • B. Pauanui
    Pauanui is a popular coastal holiday town on New Zealand’s North Island, known for its sandy beach, boating, and relaxed resort atmosphere.
  • C. Ke‘anae
    Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
  • D. Hananui
    Hananui is the Māori name for Mount Anglem, the highest peak on New Zealand’s Stewart Island/Rakiura and a prominent landmark in the region.
  • E. Kaliua
    Kaliua is a town in western Tanzania that serves as the administrative and commercial center of Kaliua District in Tabora Region.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1325a988190a07a3dc4dce41cb3 completed April 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1eac24eb0819083fa42f9ada99f6a completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:26 p.m.