Triple

T5731277
Position Surface form Disambiguated ID Type / Status
Subject Kualanamu International Airport E126388 entity
Predicate IATAcode P418 FINISHED
Object KNO
KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
E539465 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: KNO | Statement: [Kualanamu International Airport, IATAcode, KNO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KNO
Context triple: [Kualanamu International Airport, IATAcode, KNO]
  • A. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • B. KNA
    KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
  • C. KO
    KO is the New York Stock Exchange ticker symbol for The Coca-Cola Company, one of the world’s largest and most recognizable beverage corporations.
  • D. KNF
    KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
  • E. KNB
    KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
  • 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: KNO
Triple: [Kualanamu International Airport, IATAcode, KNO]
Generated description
KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KNO
Target entity description: KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • A. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • B. KNA
    KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
  • C. KO
    KO is the New York Stock Exchange ticker symbol for The Coca-Cola Company, one of the world’s largest and most recognizable beverage corporations.
  • D. KNF
    KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
  • E. KNB
    KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025318d688190bd878c5aa1a28728 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a906e008190bd2b9a3481733f14 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05cabceac819095c4a114220efb1a completed March 22, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_69c05d30463481909876ca02516d31cc completed March 22, 2026, 9:20 p.m.
Created at: March 22, 2026, 3:47 p.m.