Triple

T7152435
Position Surface form Disambiguated ID Type / Status
Subject Mount Anglem / Hananui E166723 entity
Predicate MāoriName P55220 FINISHED
Object Hananui E654111 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: Hananui | Statement: [Mount Anglem / Hananui, MāoriName, Hananui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hananui
Context triple: [Mount Anglem / Hananui, MāoriName, Hananui]
  • A. Hananui chosen
    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.
  • 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. Kaikohe
    Kaikohe is a small inland town in New Zealand known as the commercial and service hub of the Far North district.
  • D. Waianae
    Waianae is a coastal community on the western side of Oahu in Hawaii, known for its rural character, beaches, and strong Native Hawaiian presence.
  • E. 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.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f52c1081908c4fa424d5e965bc completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e510cb488190abde1c66e2fa4db4 completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:46 p.m.