Triple

T19789577
Position Surface form Disambiguated ID Type / Status
Subject Kumyks E475372 entity
Predicate historicalCenter P2536 FINISHED
Object Buynaksk area 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: Buynaksk area | Statement: [Kumyks, historicalCenter, Buynaksk area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buynaksk area
Context triple: [Kumyks, historicalCenter, Buynaksk area]
  • A. Buynaksk chosen
    Buynaksk is a significant urban center in the Republic of Dagestan in southern Russia, known for its strategic location in the North Caucasus region.
  • B. Gobustan District
    Gobustan District is a region of Azerbaijan renowned for its ancient petroglyphs and archaeological sites that form part of the Gobustan Rock Art Cultural Landscape, a UNESCO World Heritage Site.
  • C. Dashoguz
    Dashoguz is a prominent city in northern Turkmenistan, serving as a regional administrative and economic center near the border with Uzbekistan.
  • D. Kapustin Yar
    Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
  • E. Garabogaz
    Garabogaz is a small city in western Turkmenistan, located near the Garabogazköl lagoon on the Caspian Sea.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6538ae5108190b80eb7de6f445f02 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.