Triple

T11182686
Position Surface form Disambiguated ID Type / Status
Subject Sary-Arka Airport E264579 entity
Predicate ICAOcode P419 FINISHED
Object UAKK
UAKK is the ICAO airport code for Sary-Arka Airport, a major airport serving the Karaganda region of Kazakhstan.
 E910152 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: UAKK | Statement: [Sary-Arka Airport, ICAOcode, UAKK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UAKK
Context triple: [Sary-Arka Airport, ICAOcode, UAKK]
  • A. UAK
    UAK was the temporary currency code used for the Ukrainian karbovanets, a transitional currency of Ukraine in the early 1990s before the introduction of the hryvnia.
  • B. UKK
    UKK is the NUTS statistical region code used by the European Union to designate Southwest England for regional analysis and reporting.
  • C. UHK
    UHK is a public university in Hradec Králové, Czech Republic, offering a range of academic programs and research activities across multiple faculties.
  • D. UzK
    UzK is the commonly used abbreviation for the University of Cologne, one of Germany’s largest and oldest universities.
  • E. UAAA
    UAAA is the ICAO airport code for Almaty International Airport, the main air gateway to Almaty, Kazakhstan.
  • 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: UAKK
Triple: [Sary-Arka Airport, ICAOcode, UAKK]
Generated description
UAKK is the ICAO airport code for Sary-Arka Airport, a major airport serving the Karaganda region of Kazakhstan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UAKK
Target entity description: UAKK is the ICAO airport code for Sary-Arka Airport, a major airport serving the Karaganda region of Kazakhstan.
  • A. UAK
    UAK was the temporary currency code used for the Ukrainian karbovanets, a transitional currency of Ukraine in the early 1990s before the introduction of the hryvnia.
  • B. UKK
    UKK is the NUTS statistical region code used by the European Union to designate Southwest England for regional analysis and reporting.
  • C. UHK
    UHK is a public university in Hradec Králové, Czech Republic, offering a range of academic programs and research activities across multiple faculties.
  • D. UzK
    UzK is the commonly used abbreviation for the University of Cologne, one of Germany’s largest and oldest universities.
  • E. UAAA
    UAAA is the ICAO airport code for Almaty International Airport, the main air gateway to Almaty, Kazakhstan.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8a9c5e081908c85b41a268428fb completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483c1b4f88190b7c38b254d37c7fb completed April 19, 2026, 7:26 a.m.
NEDg Description generation batch_69e48717c35481908fb05597084167e7 completed April 19, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_69e48875faa88190af33654e6d9a708b completed April 19, 2026, 7:47 a.m.
Created at: April 8, 2026, 9:29 p.m.