Triple

T6389197
Position Surface form Disambiguated ID Type / Status
Subject New Zealand South Island electorates E143774 entity
Predicate coversRuralAreas P14399 FINISHED
Object Marlborough and Canterbury high country LITERAL 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: Marlborough and Canterbury high country | Statement: [New Zealand South Island electorates, coversRuralAreas, Marlborough and Canterbury high country]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coversRuralAreas
Context triple: [New Zealand South Island electorates, coversRuralAreas, Marlborough and Canterbury high country]
  • A. hasRuralArea chosen
    Indicates that an entity includes, is associated with, or contains a countryside or sparsely populated geographic area.
  • B. isInRuralAreaOf
    Indicates that one entity is located within the rural area or countryside region associated with another entity.
  • C. hasRuralServiceTown
    Indicates that a rural area or region is associated with, and typically receives services from, a specific town that functions as its service center.
  • D. hasRuralHinterland
    Indicates that a place or urban area is associated with and served by a surrounding rural region that supports it economically, socially, or functionally.
  • E. isPredominantlyRural
    Indicates that a place or region is characterized mainly by rural features, such as low population density and extensive non-urban land use.
  • F. None of above.

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_69c008dac1ec81909cef8157ccd69962 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0686cc6d481909c62a29a84a4ce8e completed March 22, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69c060eff524819094cee1c70a0c1ff4 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:34 p.m.