Triple

T6730276
Position Surface form Disambiguated ID Type / Status
Subject Gwangju Airport E153616 entity
Predicate ICAOcode P419 FINISHED
Object RKJJ
RKJJ is the ICAO airport code assigned to Gwangju Airport in South Korea.
 E615927 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: RKJJ | Statement: [Gwangju Airport, ICAOcode, RKJJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RKJJ
Context triple: [Gwangju Airport, ICAOcode, RKJJ]
  • A. JK
    JK is the widely used nickname of Juscelino Kubitschek, the former president of Brazil best known for founding Brasília and promoting rapid national development.
  • B. KJK
    KJK is the IATA airport code for Koksijde Air Base in Belgium.
  • C. KK
    KK is the commonly used abbreviation for Kota Kinabalu, the capital city of Sabah in Malaysian Borneo known for its coastal setting and proximity to Mount Kinabalu.
  • D. KK
    KK is the vehicle registration code used on license plates for the Kežmarok district in Slovakia.
  • E. RJOO
    RJOO is the ICAO airport code for Osaka International Airport, a major domestic aviation hub serving the Osaka metropolitan area in Japan.
  • 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: RKJJ
Triple: [Gwangju Airport, ICAOcode, RKJJ]
Generated description
RKJJ is the ICAO airport code assigned to Gwangju Airport in South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RKJJ
Target entity description: RKJJ is the ICAO airport code assigned to Gwangju Airport in South Korea.
  • A. JK
    JK is the widely used nickname of Juscelino Kubitschek, the former president of Brazil best known for founding Brasília and promoting rapid national development.
  • B. KJK
    KJK is the IATA airport code for Koksijde Air Base in Belgium.
  • C. KK
    KK is the commonly used abbreviation for Kota Kinabalu, the capital city of Sabah in Malaysian Borneo known for its coastal setting and proximity to Mount Kinabalu.
  • D. KK
    KK is the vehicle registration code used on license plates for the Kežmarok district in Slovakia.
  • E. RJOO
    RJOO is the ICAO airport code for Osaka International Airport, a major domestic aviation hub serving the Osaka metropolitan area in Japan.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16897e48190b43eda2206b14d6a completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b029960819090de37c99e80ceb9 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70bf3e2fc8190bc5d044b890ddc02 completed March 27, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69c70cece560819099b488a95a3c79c5 completed March 27, 2026, 11:04 p.m.
Created at: March 27, 2026, 2:09 p.m.