Triple

T6686638
Position Surface form Disambiguated ID Type / Status
Subject Daegu International Airport E152113 entity
Predicate ICAOcode P419 FINISHED
Object RKTN
RKTN is the ICAO airport code for Daegu International Airport, a major civilian and military airfield serving the city of Daegu in South Korea.
 E611986 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: RKTN | Statement: [Daegu International Airport, ICAOcode, RKTN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RKTN
Context triple: [Daegu International Airport, ICAOcode, RKTN]
  • A. TKN
    TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
  • B. RK
    RK is the commonly used abbreviation for the Riigikogu, the unicameral national parliament of Estonia.
  • C. RK
    RK is the vehicle registration code used for the town of Ružomberok in northern Slovakia.
  • D. RJNK
    RJNK is the ICAO airport code for Komatsu Airport, a joint civil-military airfield serving Ishikawa Prefecture in Japan.
  • E. KRT
    KRT is the three-letter IATA airport code for Khartoum International Airport, the main airport serving Khartoum, Sudan.
  • 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: RKTN
Triple: [Daegu International Airport, ICAOcode, RKTN]
Generated description
RKTN is the ICAO airport code for Daegu International Airport, a major civilian and military airfield serving the city of Daegu in South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RKTN
Target entity description: RKTN is the ICAO airport code for Daegu International Airport, a major civilian and military airfield serving the city of Daegu in South Korea.
  • A. TKN
    TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
  • B. RK
    RK is the commonly used abbreviation for the Riigikogu, the unicameral national parliament of Estonia.
  • C. RK
    RK is the vehicle registration code used for the town of Ružomberok in northern Slovakia.
  • D. RJNK
    RJNK is the ICAO airport code for Komatsu Airport, a joint civil-military airfield serving Ishikawa Prefecture in Japan.
  • E. KRT
    KRT is the three-letter IATA airport code for Khartoum International Airport, the main airport serving Khartoum, Sudan.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b14cd6748190aad4badd5f253478 completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b0c0148190a232ed10950ec92b completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f84621988190a3502dff9ee6296d completed March 27, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69c6f8f694f48190a6bb380b0ca583bf completed March 27, 2026, 9:39 p.m.
Created at: March 27, 2026, 2:04 p.m.