Triple

T2741316
Position Surface form Disambiguated ID Type / Status
Subject Yankunytjatjara E60754 entity
Predicate hasLanguageFeature P7162 FINISHED
Object mutual intelligibility with other Western Desert varieties 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: mutual intelligibility with other Western Desert varieties | Statement: [Yankunytjatjara, hasLanguageFeature, mutual intelligibility with other Western Desert varieties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLanguageFeature
Context triple: [Yankunytjatjara, hasLanguageFeature, mutual intelligibility with other Western Desert varieties]
  • A. languageFeature
    Indicates that one entity is a characteristic, property, or capability of a language associated with the other entity.
  • B. hasFeature
    Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
  • C. hasLinguisticFeature chosen
    Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
  • D. hasSubstrateLanguage
    Indicates a relationship where one language serves as the underlying substrate that has influenced or shaped another language.
  • E. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb2f210881909126307cc92ebfef completed March 7, 2026, 8 a.m.
PD Predicate disambiguation batch_69abd829f1e88190aab1d54f87c69714 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:56 p.m.