Triple

T20899312
Position Surface form Disambiguated ID Type / Status
Subject Khakas language E514627 entity
Predicate hasDialects P4251 FINISHED
Object Sagaysky dialect NE NERFINISHED

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: Sagaysky dialect | Statement: [Khakas language, hasDialects, Sagaysky dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sagaysky dialect
Context triple: [Khakas language, hasDialects, Sagaysky dialect]
  • A. Sagaysky dialect chosen
    The Sagaysky dialect is a regional variety of the Khakas language spoken by the Sagay subgroup of the Khakas people in Siberia.
  • B. Kamenskoye dialect
    The Kamenskoye dialect is a regional variety of the Koryak language traditionally spoken by Koryak communities in the Kamenskoye area of Russia’s Far East.
  • C. Kachinsky dialect
    The Kachinsky dialect is a regional variety of the Khakas language spoken by Khakas communities in parts of Siberia.
  • D. Vitskhi dialect
    The Vitskhi dialect is a regional variety of the Lak language spoken by the Lak people of Dagestan in the North Caucasus.
  • E. Itsarinsky dialect
    The Itsarinsky dialect is a variety of the Dargin language spoken by the inhabitants of the village of Itsari in Dagestan, Russia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8f92bd88190b59b2131ad1d9aa1 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.