Triple

T5008726
Position Surface form Disambiguated ID Type / Status
Subject Avar E112560 entity
Predicate hasDialect P4251 FINISHED
Object Northern Avar E112560 NE 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: Northern Avar | Statement: [Avar, hasDialect, Northern Avar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Avar
Context triple: [Avar, hasDialect, Northern Avar]
  • A. Bashkir
    Bashkir is a Turkic language spoken primarily by the Bashkir people in Russia’s Republic of Bashkortostan and surrounding regions.
  • B. Vainakh
    Vainakh refers to the closely related Chechen and Ingush peoples of the North Caucasus, sharing a common language group, culture, and historical heritage.
  • C. Karachay-Balkar
    Karachay-Balkar is a Turkic language spoken primarily by the Karachay and Balkar peoples in the North Caucasus region of Russia.
  • D. Avar chosen
    Avar is a Northeast Caucasian language spoken primarily by the Avar people in Dagestan and neighboring regions of the North Caucasus.
  • E. Yukaghirs
    The Yukaghirs are an indigenous people of northeastern Siberia known for their traditional hunting and fishing lifestyle and their distinct Yukaghir languages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd4433d0b08190877e83959ef40d81 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72eb05f881908d7dc3d7cd07b2ae completed March 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9266314881909dfb710c5b5c8f65 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.