Triple

T6358981
Position Surface form Disambiguated ID Type / Status
Subject Beslan Airport E143061 entity
Predicate nearCity P350 FINISHED
Object Vladikavkaz E26732 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: Vladikavkaz | Statement: [Beslan Airport, nearCity, Vladikavkaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vladikavkaz
Context triple: [Beslan Airport, nearCity, Vladikavkaz]
  • A. Vladikavkaz chosen
    Vladikavkaz is a major city in the North Caucasus region of Russia, serving as the capital of the Republic of North Ossetia–Alania and an important cultural and industrial center.
  • B. Grozny
    Grozny is the capital and largest city of the Chechen Republic in southwestern Russia, known for its turbulent recent history and extensive post-war reconstruction.
  • C. Stavropol
    Stavropol is a major administrative, cultural, and economic center in southwestern Russia, serving as the capital of Stavropol Krai in the North Caucasus region.
  • D. Cherkessk
    Cherkessk is a city in southwestern Russia that serves as the administrative, economic, and cultural center of the Karachay-Cherkess Republic in the North Caucasus.
  • E. Rustavi
    Rustavi is an industrial city in southeastern Georgia, located near the capital Tbilisi and known for its steel production and Soviet-era urban planning.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f72f8481908f9df0c0cdf22a52 completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7580ad55081908bb7c70fca29cb22 completed March 28, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:32 p.m.