Triple

T8269178
Position Surface form Disambiguated ID Type / Status
Subject Lutsk Airport E193377 entity
Predicate hasNativeName P1435 FINISHED
Object Аеропорт Луцьк E193377 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: Аеропорт Луцьк | Statement: [Lutsk Airport, hasNativeName, Аеропорт Луцьк]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Аеропорт Луцьк
Context triple: [Lutsk Airport, hasNativeName, Аеропорт Луцьк]
  • A. Lutsk Airport chosen
    Lutsk Airport is a regional civil and military airfield serving the city of Lutsk and the surrounding area in western Ukraine.
  • B. Vinnytsia International Airport
    Vinnytsia International Airport is a regional civil airport in central Ukraine that serves the city of Vinnytsia and its surrounding areas with domestic and limited international flights.
  • C. Ivano-Frankivsk International Airport
    Ivano-Frankivsk International Airport is a regional civil airport in western Ukraine that serves the city of Ivano-Frankivsk and connects it with domestic and select international destinations.
  • D. Zhytomyr Airport
    Zhytomyr Airport is a regional civil airport serving the city of Zhytomyr in northwestern Ukraine.
  • E. Dnipro International Airport
    Dnipro International Airport is a public airport serving the city of Dnipro in eastern Ukraine, handling domestic and limited international passenger flights.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb795127ac81908196008f5579f83f completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd683d04e081908b0ce81e866f0311 completed April 1, 2026, 6:47 p.m.
Created at: March 30, 2026, 5:50 p.m.