Triple

T329386
Position Surface form Disambiguated ID Type / Status
Subject Kansai International Airport E6591 entity
Predicate IATAcode P418 FINISHED
Object KIX
KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
E41967 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: KIX | Statement: [Kansai International Airport, IATAcode, KIX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KIX
Context triple: [Kansai International Airport, IATAcode, KIX]
  • A. Kawki
    Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
  • B. KLAX
    KLAX is the ICAO code for Los Angeles International Airport, one of the busiest and most important air transport hubs in the United States and the world.
  • C. Kykuit
    Kykuit is a historic Rockefeller family estate and grand mansion known for its architecture, art collections, and landscaped gardens overlooking the Hudson River in New York.
  • D. KIAD
    KIAD is the ICAO airport code for Washington Dulles International Airport, a major international air travel hub serving the Washington, D.C. metropolitan area.
  • E. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • 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: KIX
Triple: [Kansai International Airport, IATAcode, KIX]
Generated description
KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KIX
Target entity description: KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
  • A. Kawki
    Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
  • B. KLAX
    KLAX is the ICAO code for Los Angeles International Airport, one of the busiest and most important air transport hubs in the United States and the world.
  • C. Kykuit
    Kykuit is a historic Rockefeller family estate and grand mansion known for its architecture, art collections, and landscaped gardens overlooking the Hudson River in New York.
  • D. KIAD
    KIAD is the ICAO airport code for Washington Dulles International Airport, a major international air travel hub serving the Washington, D.C. metropolitan area.
  • E. Kaiyukan
    Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eaad37b0819085beda2a491da9a8 completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cfef5f4c8190a9c0e14a5a501237 completed March 1, 2026, 5:34 a.m.
NEDg Description generation batch_69a3d068ea8c81908851444ca70a64b4 completed March 1, 2026, 5:36 a.m.
NED2 Entity disambiguation (via description) batch_69a3d0eb96748190aa8c47736820387c completed March 1, 2026, 5:38 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.