Triple

T17839168
Position Surface form Disambiguated ID Type / Status
Subject Mangawhero River E445473 entity
Predicate nearSettlement P3883 FINISHED
Object Ohakune 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: Ohakune | Statement: [Mangawhero River, nearSettlement, Ohakune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ohakune
Context triple: [Mangawhero River, nearSettlement, Ohakune]
  • A. Ohakune chosen
    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.
  • B. Kaniaga
    Kaniaga was the principal city and political center of the medieval West African Sosso state.
  • C. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • D. Sasayama
    Sasayama is a historic castle town in Hyōgo Prefecture, Japan, known for its well-preserved Edo-period streets, Sasayama Castle ruins, and traditional local cuisine.
  • E. Remutaka
    Remutaka is a New Zealand parliamentary electorate in the Wellington region, encompassing Upper Hutt and surrounding areas.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2a570c81909787296bde7e795c completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.