Triple

T32644051
Position Surface form Disambiguated ID Type / Status
Subject Ngāti Hauiti E834553 entity
Predicate traditionalLanguageDialect P28812 FINISHED
Object Rangitīkei dialect of te reo Māori
The Rangitīkei dialect of te reo Māori is a regional variety of the Māori language traditionally spoken by the Ngāti Hauiti iwi in the Rangitīkei area of Aotearoa New Zealand.
 E2017058 NE FINISHED

How this triple was built (3 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: Rangitīkei dialect of te reo Māori | Statement: [Ngāti Hauiti, traditionalLanguageDialect, Rangitīkei dialect of te reo Māori]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rangitīkei dialect of te reo Māori
Triple: [Ngāti Hauiti, traditionalLanguageDialect, Rangitīkei dialect of te reo Māori]
Generated description
The Rangitīkei dialect of te reo Māori is a regional variety of the Māori language traditionally spoken by the Ngāti Hauiti iwi in the Rangitīkei area of Aotearoa New Zealand.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: traditionalLanguageDialect
Context triple: [Ngāti Hauiti, traditionalLanguageDialect, Rangitīkei dialect of te reo Māori]
  • A. regionalDialect
    Indicates that one entity uses or is associated with a dialect specific to a particular geographic region in relation to another entity.
  • B. hasTraditionalDialect chosen
    Indicates that an entity possesses or is associated with a traditional form or variety of a language or dialect.
  • C. majorDialectOf
    Indicates that one dialect is the primary or most prominent dialect associated with a particular language or region.
  • D. traditionalLanguageName
    Indicates the name traditionally used in a particular language to refer to the subject entity.
  • E. dialectDocumentation
    Indicates that there exists documentation or descriptive information specifically about a particular dialect or dialectal variety.
  • F. None of above.

Provenance (6 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_69f3492e773c81908afc10651e46cad3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69feba0f09508190b3e871c62b19ec7f completed May 9, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3492a3ec2481909dbbdf793ddd4c3b completed June 19, 2026, 12:51 a.m.
NEDg Description generation batch_6a3493bc839c8190ade6ca8ccf125853 completed June 19, 2026, 12:56 a.m.
NED2 Entity disambiguation (via description) batch_6a34948e92348190bec1eb58502e919f completed June 19, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69feb957fe7c8190969fb31a6d1a59c8 completed May 9, 2026, 4:34 a.m.
Created at: May 1, 2026, 1:07 a.m.