Triple

T17572484
Position Surface form Disambiguated ID Type / Status
Subject Ngāti Hei E427973 entity
Predicate locatedIn P40 FINISHED
Object Aotearoa 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: Aotearoa | Statement: [Ngāti Hei, locatedIn, Aotearoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aotearoa
Context triple: [Ngāti Hei, locatedIn, Aotearoa]
  • A. New Zealand chosen
    New Zealand is an island country in the southwestern Pacific Ocean known for its dramatic landscapes, indigenous Māori culture, and advanced, stable democracy.
  • B. New Zealand North Island
    New Zealand's North Island is the more populous and geothermally active of the country’s two main islands, known for its major cities, volcanic landscapes, and rich Māori cultural heritage.
  • C. NZ
    NZ is the IATA airline designator for Air New Zealand, the flag carrier airline of New Zealand.
  • D. NZ
    NZ is the vehicle registration code used for the Slovak town of Nové Zámky.
  • E. Antarctica New Zealand
    Antarctica New Zealand is the New Zealand government agency responsible for managing the country’s scientific research, environmental protection, and logistical operations in Antarctica.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e459324aa48190ae23fcae6e8919f8 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.