Triple

T15291147
Position Surface form Disambiguated ID Type / Status
Subject Kala Lagaw Ya E365529 entity
Predicate hasDialect P4251 FINISHED
Object Kaiwaligau Ya dialect E1147933 NE 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: Kaiwaligau Ya dialect | Statement: [Kala Lagaw Ya, hasDialect, Kaiwaligau Ya dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaiwaligau Ya dialect
Context triple: [Kala Lagaw Ya, hasDialect, Kaiwaligau Ya dialect]
  • A. Kulkalgau Ya dialect chosen
    Kulkalgau Ya dialect is a regional variety of the Kala Lagaw Ya language traditionally spoken in parts of the central Torres Strait Islands in northern Australia.
  • B. Kewevkapaya dialect
    The Kewevkapaya dialect is a regional variety of a Native American language closely related to and forming a continuum with the Wipukpa dialect.
  • C. Kwi dialect
    Kwi dialect is a regional variety of the Berom language spoken by Berom communities in parts of Plateau State, Nigeria.
  • D. Ulu’uwoi dialect
    The Ulu’uwoi dialect is a regional variety of the Mori Atas language spoken by a subset of its speaker community in Sulawesi, Indonesia.
  • E. Tappalang dialect
    The Tappalang dialect is a regional variety of the Mandar language spoken by Mandar communities in parts of West Sulawesi, Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03680b60c8190a3ea54a9d34c8105 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e2a03c81909ab24d4ed2b54698 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:15 a.m.