Triple

T8463350
Position Surface form Disambiguated ID Type / Status
Subject Dnipro International Airport E200097 entity
Predicate hasHubAirline P423 FINISHED
Object Dniproavia E737812 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: Dniproavia | Statement: [Dnipro International Airport, hasHubAirline, Dniproavia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dniproavia
Context triple: [Dnipro International Airport, hasHubAirline, Dniproavia]
  • A. Dniproavia chosen
    Dniproavia is a Ukrainian airline that operated domestic and international passenger flights, primarily serving the city of Dnipro and its surrounding region.
  • B. Dnipro
    Dnipro is one of Ukraine’s largest industrial and cultural centers, located on the Dnieper River in the central-eastern part of the country.
  • C. Kiev railway junction
    Kiev railway junction is a major rail hub in Kyiv that connects multiple national and international railway lines, serving as a key center for passenger and freight transport in the region.
  • D. Boryspil
    Boryspil is a city in Kyiv Oblast, Ukraine, best known for hosting the country’s main international airport serving the capital, Kyiv.
  • E. Balakliia
    Balakliia is a town in Ukraine’s Kharkiv Oblast that gained prominence as a key frontline settlement during the 2022 Russian invasion.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4a39bd48190b72be7e03cff323b completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6cf9368081909cad61cdf6156a0e completed April 2, 2026, 1:19 p.m.
Created at: March 30, 2026, 6:10 p.m.