Triple

T19811252
Position Surface form Disambiguated ID Type / Status
Subject Onehunga Port E475949 entity
Predicate locatedIn P40 FINISHED
Object Onehunga 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: Onehunga | Statement: [Onehunga Port, locatedIn, Onehunga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onehunga
Context triple: [Onehunga Port, locatedIn, Onehunga]
  • A. Onehunga chosen
    Onehunga is a suburb of Auckland, New Zealand, known for its diverse multicultural community and strong Pacific Island, particularly Tongan, presence.
  • B. Matakohe
    Matakohe is a small rural settlement in New Zealand best known for its Kauri Museum and historic connections to the kauri gum and timber industries.
  • C. Tuatapere
    Tuatapere is a small rural town in New Zealand’s Southland region, known as a gateway to the Hump Ridge Track and for its forestry and farming heritage.
  • D. Ruatoria
    Ruatoria is a small rural town in New Zealand’s Gisborne region, known as a center of Māori culture and community on the North Island’s East Coast.
  • E. Utupua
    Utupua is a small, remote island in the Santa Cruz Islands group of the Solomon Islands in the South Pacific Ocean.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6542bd7a48190acf67db41f1131c9 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:50 p.m.