Triple

T20791804
Position Surface form Disambiguated ID Type / Status
Subject Northlands Denesuline First Nation E511795 entity
Predicate hasPrimaryLanguageUse P78017 FINISHED
Object Denesuline in daily life 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: Denesuline in daily life | Statement: [Northlands Denesuline First Nation, hasPrimaryLanguageUse, Denesuline in daily life]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryLanguageUse
Context triple: [Northlands Denesuline First Nation, hasPrimaryLanguageUse, Denesuline in daily life]
  • A. hasPrimaryLanguage1
    Indicates that an entity’s main or most commonly used language is the specified language.
  • B. hasPrimaryLanguageOfOperations chosen
    Indicates that an entity conducts its main activities or operations primarily using a specified language.
  • C. hasPrimaryVernacularLanguageFamily
    Indicates that an entity’s main vernacular language belongs to a specified language family.
  • D. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • E. hasPrimaryLanguageNearby
    Indicates that an entity is associated with a primary language that is predominantly used or present in its immediate geographic or contextual vicinity.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2910d488190bc4be37512effc86 completed April 21, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e5c0575b1c81908d010223fcd1213e completed April 20, 2026, 5:57 a.m.
Created at: April 16, 2026, 12:38 p.m.