Triple

T15833095
Position Surface form Disambiguated ID Type / Status
Subject Chris Hipkins E383918 entity
Predicate represented electorate P74936 FINISHED
Object Rimutaka E1180734 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: Rimutaka | Statement: [Chris Hipkins, represented electorate, Rimutaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rimutaka
Context triple: [Chris Hipkins, represented electorate, Rimutaka]
  • A. Remutaka chosen
    Remutaka is a New Zealand parliamentary electorate in the Wellington region, encompassing Upper Hutt and surrounding areas.
  • B. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • C. Rusutsu
    Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
  • D. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • E. Ohakune
    Ohakune is a small New Zealand town on the North Island known as a gateway to Mount Ruapehu and the Tongariro National Park, as well as for its ski tourism and carrot farming.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e0e1cc8190851b30b03cf9c9b8 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa93be478819099908e7242f532d7 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:49 a.m.