Triple

T23202428
Position Surface form Disambiguated ID Type / Status
Subject URMG E580353 entity
Predicate associatedWithAirportName P16112 FINISHED
Object Grozny Airport 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: Grozny Airport | Statement: [URMG, associatedWithAirportName, Grozny Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grozny Airport
Context triple: [URMG, associatedWithAirportName, Grozny Airport]
  • A. Grozny Airport chosen
    Grozny Airport is the main civil aviation airport serving the city of Grozny and the surrounding region in the Chechen Republic, Russia.
  • B. Cheboksary International Airport
    Cheboksary International Airport is the main commercial air gateway serving the city of Cheboksary and the surrounding Chuvash Republic region in Russia.
  • C. Elista Airport
    Elista Airport is a regional airport serving the city of Elista, the capital of the Republic of Kalmykia in Russia.
  • D. Krasnodar International Airport
    Krasnodar International Airport is a major regional airport in southern Russia serving the city of Krasnodar with domestic and limited international flights.
  • E. Volgograd International Airport
    Volgograd International Airport is the main commercial air gateway serving the city of Volgograd and the surrounding Volgograd Oblast in southwestern Russia.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907a8bb48190846802a24d33bccf completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:06 p.m.