Triple

T19792336
Position Surface form Disambiguated ID Type / Status
Subject Māngere E475444 entity
Predicate hasEducationalInstitution P113 FINISHED
Object Aorere College 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: Aorere College | Statement: [Māngere, hasEducationalInstitution, Aorere College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aorere College
Context triple: [Māngere, hasEducationalInstitution, Aorere College]
  • A. Aorere College chosen
    Aorere College is a co-educational secondary school located in Māngere, South Auckland, New Zealand.
  • B. Ōtaki College
    Ōtaki College is a secondary school located in the town of Ōtaki on New Zealand’s Kāpiti Coast.
  • C. Kaitaia College
    Kaitaia College is a secondary school serving the town of Kaitaia and surrounding communities in the Far North of New Zealand.
  • D. Otahuhu College
    Otahuhu College is a secondary school located in the suburb of Ōtāhuhu in Auckland, New Zealand.
  • E. Te Kuiti High School
    Te Kuiti High School is a co-educational secondary school serving the rural community of Te Kuiti in New Zealand’s Waikato region.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c37a3c819080f195d58adaaa7b completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.