Triple

T18652492
Position Surface form Disambiguated ID Type / Status
Subject Kyiv International Airport (Zhuliany) E455975 entity
Predicate locatedInDistrict P40 FINISHED
Object Zhuliany 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: Zhuliany | Statement: [Kyiv International Airport (Zhuliany), locatedInDistrict, Zhuliany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhuliany
Context triple: [Kyiv International Airport (Zhuliany), locatedInDistrict, Zhuliany]
  • A. Zhuliany chosen
    Zhuliany is a neighborhood in Kyiv, Ukraine, best known for hosting one of the city’s main international airports.
  • B. Lilia
    Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
  • C. Milina
    Milina is a seaside village in the Pelion region of central Greece, known for its tranquil beaches and views across the Pagasetic Gulf.
  • D. Luyi
    Luyi is an alternate name for the Luyana language, a Bantu language spoken primarily in western Zambia.
  • E. Luli
    Luli is a dialect of the Paama language, spoken by a subset of Paama speakers in Vanuatu.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5501279d08190aeca36df89fee2b2 completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.