Triple

T4144470
Position Surface form Disambiguated ID Type / Status
Subject Kaunas Airport E89349 entity
Predicate IATAcode P418 FINISHED
Object KUN
KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
 E415253 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: KUN | Statement: [Kaunas Airport, IATAcode, KUN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KUN
Context triple: [Kaunas Airport, IATAcode, KUN]
  • A. Kun
    Kun is an alternative name for the Cumans, a historically significant nomadic Turkic people who roamed the Eurasian steppes during the Middle Ages.
  • B. KUT
    KUT is the IATA airport code for David the Builder Kutaisi International Airport, a major passenger airport serving the city of Kutaisi in Georgia.
  • C. Ku
    Ku is a principal Hawaiian god associated with war, politics, and prosperity, widely venerated in traditional Native Hawaiian religion.
  • D. KAN
    KAN is the IATA airport code for Mallam Aminu Kano International Airport, a major airport serving Kano in northern Nigeria.
  • E. KUO
    KUO is the IATA airport code for Kuopio Airport in Finland.
  • 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: KUN
Triple: [Kaunas Airport, IATAcode, KUN]
Generated description
KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KUN
Target entity description: KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • A. Kun
    Kun is an alternative name for the Cumans, a historically significant nomadic Turkic people who roamed the Eurasian steppes during the Middle Ages.
  • B. KUT
    KUT is the IATA airport code for David the Builder Kutaisi International Airport, a major passenger airport serving the city of Kutaisi in Georgia.
  • C. Ku
    Ku is a principal Hawaiian god associated with war, politics, and prosperity, widely venerated in traditional Native Hawaiian religion.
  • D. KAN
    KAN is the IATA airport code for Mallam Aminu Kano International Airport, a major airport serving Kano in northern Nigeria.
  • E. KUO
    KUO is the IATA airport code for Kuopio Airport in Finland.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af025e850c819085ec05b9d9b60712 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576d2f1788190847d38a384abbe67 completed March 14, 2026, 2:55 p.m.
NEDg Description generation batch_69b577ef7ed08190aca5f99d6abf1271 completed March 14, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69b578538e908190a2c7d9d80ec5ec99 completed March 14, 2026, 3:01 p.m.
Created at: March 9, 2026, 3:43 p.m.