Triple

T4950111
Position Surface form Disambiguated ID Type / Status
Subject Tabasarans E111146 entity
Predicate neighboringPeople P11274 FINISHED
Object Kumyks E475372 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: Kumyks | Statement: [Tabasarans, neighboringPeople, Kumyks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kumyks
Context triple: [Tabasarans, neighboringPeople, Kumyks]
  • A. Kumyks chosen
    The Kumyks are a Turkic-speaking ethnic group native to the northeastern Caucasus, primarily in Dagestan, with a distinct language, culture, and history shaped by both steppe and Caucasian influences.
  • B. Tsakhurs
    Tsakhurs are a Northeast Caucasian ethnic group traditionally inhabiting mountainous regions of present-day Azerbaijan and Dagestan, known for their distinct language and rich folk culture.
  • C. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • D. Карымский
    Карымский — действующий стратовулкан на Камчатке, один из самых активных вулканов России.
  • E. Gaziemir
    Gaziemir is a district of İzmir, Turkey, known for its proximity to the city’s main international airport and its role as a growing residential and commercial hub.
  • 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7167f97481908db5bfa9338e3824 completed March 20, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89eefa5c8190871debbb8fe6dabe completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:31 p.m.