Triple

T19333013
Position Surface form Disambiguated ID Type / Status
Subject Kubachi E483542 entity
Predicate hasAlternativeName P39 FINISHED
Object Kubachin 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: Kubachin | Statement: [Kubachi, hasAlternativeName, Kubachin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kubachin
Context triple: [Kubachi, hasAlternativeName, Kubachin]
  • A. Kubachin chosen
    Kubachin is a Northeast Caucasian language spoken primarily by the Kubachi people in the Republic of Dagestan, Russia.
  • B. Kabany
    Kabany is a rural locality in present-day Ukraine, historically part of the Russian Empire and known as the birthplace of Soviet politician Lazar Kaganovich.
  • C. Kangaba
    Kangaba is a historic town in southwestern Mali, traditionally regarded as an early political and cultural center of the Mali Empire and the Keita dynasty.
  • D. Kashenyi
    Kashenyi is a town in western Uganda that serves as one of the main urban centers in Rubirizi District.
  • E. Kubelsky
    Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61642f49c81909226cfd701f7c139 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.