Triple

T24661295
Position Surface form Disambiguated ID Type / Status
Subject Tavgi language E610544 entity
Predicate languageShiftFactor P43833 FINISHED
Object urbanization of Nganasan people 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: urbanization of Nganasan people | Statement: [Tavgi language, languageShiftFactor, urbanization of Nganasan people]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageShiftFactor
Context triple: [Tavgi language, languageShiftFactor, urbanization of Nganasan people]
  • A. languageShift
    Indicates a change in the primary language used by an entity, such as switching from one language to another over time or in a given context.
  • B. languageShiftPressureFrom chosen
    Indicates pressure exerted by one entity that causes or encourages another entity to shift away from its current language toward a different language.
  • C. languageAffected
    Indicates that one entity has an impact on, modifies, or influences the characteristics, usage, or status of a language.
  • D. riskOfLanguageShift
    Indicates that there is a likelihood or tendency for one language to be replaced or significantly reduced in use by another within a given community or context.
  • E. languageVariant
    Indicates that one language is a variant, dialect, or localized form of another language.
  • 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_69e2c4d453248190a020354e93ef6282 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f464b4c9b0819085daa00c7c3b8b76 completed May 1, 2026, 8:30 a.m.
PD Predicate disambiguation batch_69f45cf017a88190b4985b11159c907d completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 2:34 a.m.