Triple

T9171087
Position Surface form Disambiguated ID Type / Status
Subject Krasnoyarsk Yemelyanovo Airport E220080 entity
Predicate ICAOcode P419 FINISHED
Object UNKL
UNKL is the ICAO airport code for Krasnoyarsk Yemelyanovo Airport, a major international airport serving the city of Krasnoyarsk in central Siberia, Russia.
E782697 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: UNKL | Statement: [Krasnoyarsk Yemelyanovo Airport, ICAOcode, UNKL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNKL
Context triple: [Krasnoyarsk Yemelyanovo Airport, ICAOcode, UNKL]
  • A. UCK
    UCK is the IATA airport code for Lutsk Airport, a regional airport serving the city of Lutsk in western Ukraine.
  • B. UNTL
    UNTL is the main public university of Timor-Leste, offering higher education and research across a range of academic disciplines.
  • C. UNWE
    UNWE is a leading Bulgarian higher education institution in Sofia specializing in economics, business, and social sciences.
  • D. UNTAET
    UNTAET (United Nations Transitional Administration in East Timor) was a UN peacekeeping and governance mission that administered East Timor during its transition to independence after the 1999 crisis.
  • E. KLu
    KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
  • 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: UNKL
Triple: [Krasnoyarsk Yemelyanovo Airport, ICAOcode, UNKL]
Generated description
UNKL is the ICAO airport code for Krasnoyarsk Yemelyanovo Airport, a major international airport serving the city of Krasnoyarsk in central Siberia, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UNKL
Target entity description: UNKL is the ICAO airport code for Krasnoyarsk Yemelyanovo Airport, a major international airport serving the city of Krasnoyarsk in central Siberia, Russia.
  • A. UCK
    UCK is the IATA airport code for Lutsk Airport, a regional airport serving the city of Lutsk in western Ukraine.
  • B. UNG
    UNG is a public university in Georgia known for its strong focus on leadership development, military programs, and accessible undergraduate education across multiple campuses.
  • C. UNTL
    UNTL is the main public university of Timor-Leste, offering higher education and research across a range of academic disciplines.
  • D. UNWE
    UNWE is a leading Bulgarian higher education institution in Sofia specializing in economics, business, and social sciences.
  • E. UNTAET
    UNTAET (United Nations Transitional Administration in East Timor) was a UN peacekeeping and governance mission that administered East Timor during its transition to independence after the 1999 crisis.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaae38ee48190bf783477bc37913d completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0549746b0819099c2a591900f9c8c completed April 4, 2026, midnight
NEDg Description generation batch_69d0558aeb7c8190a638e81bd0a6b47a completed April 4, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_69d0598de6388190a535748893dfb09c completed April 4, 2026, 12:21 a.m.
Created at: March 30, 2026, 7:22 p.m.