Triple

T4933579
Position Surface form Disambiguated ID Type / Status
Subject Kyiv Oblast E110754 entity
Predicate contains P35 FINISHED
Object Boryspil E441516 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: Boryspil | Statement: [Kyiv Oblast, contains, Boryspil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boryspil
Context triple: [Kyiv Oblast, contains, Boryspil]
  • A. Boryspil chosen
    Boryspil is a city in Kyiv Oblast, Ukraine, best known for hosting the country’s main international airport serving the capital, Kyiv.
  • B. Boryspil International Airport
    Boryspil International Airport is the largest and primary international airport serving Kyiv and the main air gateway of Ukraine.
  • C. 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.
  • D. Kharkiv International Airport
    Kharkiv International Airport is the main commercial air gateway serving the city of Kharkiv and the surrounding region in northeastern Ukraine.
  • E. Zhytomyr Airport
    Zhytomyr Airport is a regional civil airport serving the city of Zhytomyr in northwestern Ukraine.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70652d988190ba4a493db510952e completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77b41c4c8190b4f714334242bc9b completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.