Triple

T17168896
Position Surface form Disambiguated ID Type / Status
Subject Kryts language E416675 entity
Predicate closelyRelatedTo P37 FINISHED
Object Lezgian language 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: Lezgian language | Statement: [Kryts language, closelyRelatedTo, Lezgian language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lezgian language
Context triple: [Kryts language, closelyRelatedTo, Lezgian language]
  • A. Lezgian chosen
    Lezgian is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan and northern Azerbaijan.
  • B. Lezgic
    Lezgic is a branch of the Northeast Caucasian language family comprising several closely related languages spoken primarily in southern Dagestan (Russia) and northern Azerbaijan.
  • C. Lezghinka
    Lezghinka is a fast-paced, energetic traditional folk dance of the peoples of the North Caucasus, often featuring sharp footwork and expressive, dramatic movements.
  • D. Ossetian language
    The Ossetian language is an Eastern Iranian language spoken primarily in the Caucasus region of Russia, especially in North and South Ossetia.
  • E. Adyghe language
    Adyghe language is a Northwest Caucasian language spoken primarily by the Adyghe (Circassian) people in the Republic of Adygea and surrounding regions of the Russian Federation.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f9173ee48190bc46622c78479603 completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 5:37 a.m.