Triple

T17640830
Position Surface form Disambiguated ID Type / Status
Subject VTB E429218 entity
Predicate refersTo P37 FINISHED
Object Vitebsk Vostochny 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: Vitebsk Vostochny Airport | Statement: [VTB, refersTo, Vitebsk Vostochny Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vitebsk Vostochny Airport
Context triple: [VTB, refersTo, Vitebsk Vostochny Airport]
  • A. Vitebsk Vostochny Airport chosen
    Vitebsk Vostochny Airport is a regional airport serving the city of Vitebsk in northeastern Belarus, handling domestic and limited international flights.
  • B. Gomel Airport
    Gomel Airport is a regional civil airport serving the city of Gomel in southeastern Belarus, handling domestic and limited international flights.
  • C. Minsk National Airport
    Minsk National Airport is the main international airport serving Belarus’s capital, Minsk, and the country’s primary hub for passenger and cargo air traffic.
  • D. Baratayevka Airport
    Baratayevka Airport is a regional airport serving the city of Ulyanovsk in Russia.
  • E. Yaroslavl Tunoshna Airport
    Yaroslavl Tunoshna Airport is a regional airport serving the city of Yaroslavl and the surrounding Yaroslavl Oblast in Russia, handling both domestic passenger flights and cargo operations.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de50bf481909e938613b38f0202 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6:02 a.m.