Triple

T1466584
Position Surface form Disambiguated ID Type / Status
Subject Stewart Island / Rakiura E27035 entity
Predicate hasImportantSpecies P965 FINISHED
Object southern brown kiwi / tokoeka 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: southern brown kiwi / tokoeka | Statement: [Stewart Island / Rakiura, hasImportantSpecies, southern brown kiwi / tokoeka]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasImportantSpecies
Context triple: [Stewart Island / Rakiura, hasImportantSpecies, southern brown kiwi / tokoeka]
  • A. hasEndemicSpecies
    Indicates that a place or region contains species that are native to and found only within that specific geographic area.
  • B. notableSpecies chosen
    Indicates that the subject is known for, or significantly associated with, the specified species.
  • C. hasBiodiversityFeature
    Indicates that an entity possesses or is associated with a specific biodiversity-related characteristic, attribute, or element.
  • D. hasInvasiveSpecies
    Indicates that an area, ecosystem, or habitat contains one or more species that are non-native and causing or likely to cause ecological, economic, or environmental harm.
  • E. hasExhibitSpecies
    Indicates that an exhibit or display includes or features a particular species.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5bcfa0881909d6137c69825bc7a completed March 1, 2026, 11:03 p.m.
PD Predicate disambiguation batch_69a4c48121e48190946c23c583e5fb64 completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:01 p.m.