Triple

T7165230
Position Surface form Disambiguated ID Type / Status
Subject Waihonga language E167050 entity
Predicate iso639Status P25082 FINISHED
Object not confirmed 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: not confirmed | Statement: [Waihonga language, iso639Status, not confirmed]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: iso639Status
Context triple: [Waihonga language, iso639Status, not confirmed]
  • A. ISO639Status chosen
    Indicates the classification of a language’s status according to the ISO 639 standard (e.g., whether and how it is recognized or coded in that system).
  • B. ISO639_3Status
    Indicates the classification or status assigned to a language according to the ISO 639-3 standard (e.g., active, extinct, historical, constructed).
  • C. ISO639Scope
    Indicates the classification of a language according to its scope, such as whether it represents an individual language, a macrolanguage, or a collection of languages.
  • D. ISO639CollectiveCode
    Indicates that the relationship assigns or associates an ISO 639 collective language code (a code representing a group of related languages) to the relevant language entity or set of languages.
  • E. ISO639Macrolanguage
    Indicates that a language variety is part of a broader ISO 639-defined macrolanguage grouping that encompasses multiple closely related individual languages.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e832d2548190aacff0de80dbc268 completed March 27, 2026, 8:27 p.m.
PD Predicate disambiguation batch_69c6e1cd5c948190a9113b23f7308c21 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:47 p.m.