Triple

T4602040
Position Surface form Disambiguated ID Type / Status
Subject Kyiv International Airport (Zhuliany) E100341 entity
Predicate namedAfter P63 FINISHED
Object Zhuliany
Zhuliany is a neighborhood in Kyiv, Ukraine, best known for hosting one of the city’s main international airports.
 E455978 NE FINISHED

How this triple was built (4 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), namedAfter, Zhuliany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhuliany
Context triple: [Kyiv International Airport (Zhuliany), namedAfter, Zhuliany]
  • A. Lilia
    Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
  • B. Nuzha
    Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
  • C. Kiana
    Kiana is a feminine given name used in various cultures, often considered a modern variant of names like Kiana or Kianna.
  • D. Jina
    Jina is a revered spiritual title in Jainism denoting an enlightened victor who has conquered inner passions and attained omniscience.
  • E. Zinetula
    Zinetula is a masculine given name most notably borne by Russian ice hockey coach and former player Zinetula Bilyaletdinov.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zhuliany
Triple: [Kyiv International Airport (Zhuliany), namedAfter, Zhuliany]
Generated description
Zhuliany is a neighborhood in Kyiv, Ukraine, best known for hosting one of the city’s main international airports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhuliany
Target entity description: Zhuliany is a neighborhood in Kyiv, Ukraine, best known for hosting one of the city’s main international airports.
  • A. Lilia
    Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
  • B. Nuzha
    Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
  • C. Kiana
    Kiana is a feminine given name used in various cultures, often considered a modern variant of names like Kiana or Kianna.
  • D. Jina
    Jina is a revered spiritual title in Jainism denoting an enlightened victor who has conquered inner passions and attained omniscience.
  • E. Zinetula
    Zinetula is a masculine given name most notably borne by Russian ice hockey coach and former player Zinetula Bilyaletdinov.
  • F. None of above. chosen

Provenance (5 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd597462c08190bcdb3efd880778b1 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa60b3348190ac8e28f9e78e1d99 completed March 21, 2026, 1:54 a.m.
NEDg Description generation batch_69bdfbea628c81908f96e706d650ef9f completed March 21, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc97fc54819093e0cff18a40bde2 completed March 21, 2026, 2:04 a.m.
Created at: March 20, 2026, 1:11 p.m.