Triple

T495450
Position Surface form Disambiguated ID Type / Status
Subject Zhukovsky International Airport E10282 entity
Predicate IATAcode P418 FINISHED
Object ZIA
ZIA is the IATA airport code for Zhukovsky International Airport, a commercial airport serving the Moscow region in Russia.
E61662 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: ZIA | Statement: [Zhukovsky International Airport, IATAcode, ZIA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZIA
Context triple: [Zhukovsky International Airport, IATAcode, ZIA]
  • A. DZA
    DZA is the three-letter ISO 3166-1 alpha-3 country code assigned to Algeria.
  • B. Azim
    Azim is the given name of Azim Premji, the Indian business tycoon and philanthropist known for leading Wipro and his extensive charitable work.
  • C. CZI
    CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
  • D. Daza
    The Daza are an ethnic group of the central Sahara, primarily in Chad, known for their nomadic pastoralist lifestyle and close cultural and linguistic ties to the Toubou (Tebu) peoples.
  • E. ZiMS Foundation
    ZiMS Foundation is a charitable organization founded by former MLB player Ryan Zimmerman that focuses on raising awareness and funds for multiple sclerosis research and support.
  • 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: ZIA
Triple: [Zhukovsky International Airport, IATAcode, ZIA]
Generated description
ZIA is the IATA airport code for Zhukovsky International Airport, a commercial airport serving the Moscow region in Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZIA
Target entity description: ZIA is the IATA airport code for Zhukovsky International Airport, a commercial airport serving the Moscow region in Russia.
  • A. DZA
    DZA is the three-letter ISO 3166-1 alpha-3 country code assigned to Algeria.
  • B. Azim
    Azim is the given name of Azim Premji, the Indian business tycoon and philanthropist known for leading Wipro and his extensive charitable work.
  • C. CZI
    CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
  • D. Daza
    The Daza are an ethnic group of the central Sahara, primarily in Chad, known for their nomadic pastoralist lifestyle and close cultural and linguistic ties to the Toubou (Tebu) peoples.
  • E. ZiMS Foundation
    ZiMS Foundation is a charitable organization founded by former MLB player Ryan Zimmerman that focuses on raising awareness and funds for multiple sclerosis research and support.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f115334881908ac5ab96c7f4214e completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a47d2da4488190be3146538a4f3d46 completed March 1, 2026, 5:53 p.m.
NEDg Description generation batch_69a47e3bf5e48190b30d2250708e04c6 completed March 1, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69a47e888e04819096b3b4eed3bccf95 completed March 1, 2026, 5:59 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.