Triple

T7019078
Position Surface form Disambiguated ID Type / Status
Subject Kunming Changshui International Airport E162772 entity
Predicate isHubFor P423 FINISHED
Object Lucky Air
Lucky Air is a Chinese low-cost airline based in Yunnan Province that operates domestic and regional flights across China and nearby countries.
 E637091 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: Lucky Air | Statement: [Kunming Changshui International Airport, isHubFor, Lucky Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lucky Air
Context triple: [Kunming Changshui International Airport, isHubFor, Lucky Air]
  • A. Loong Air
    Loong Air is a Chinese passenger and cargo airline based in Hangzhou that operates domestic and regional routes across Asia.
  • B. Malindo Air
    Malindo Air is a Malaysian hybrid full-service and low-cost airline that became the first operator of the Boeing 737 MAX 8.
  • C. Akasa Air
    Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
  • D. Mango Airlines
    Mango Airlines is a South African low-cost airline that operated domestic and regional flights as a budget subsidiary of South African Airways.
  • E. T'way Air
    T'way Air is a South Korean low-cost airline headquartered in Seoul that operates domestic and international flights across Asia.
  • 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: Lucky Air
Triple: [Kunming Changshui International Airport, isHubFor, Lucky Air]
Generated description
Lucky Air is a Chinese low-cost airline based in Yunnan Province that operates domestic and regional flights across China and nearby countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lucky Air
Target entity description: Lucky Air is a Chinese low-cost airline based in Yunnan Province that operates domestic and regional flights across China and nearby countries.
  • A. Loong Air
    Loong Air is a Chinese passenger and cargo airline based in Hangzhou that operates domestic and regional routes across Asia.
  • B. Malindo Air
    Malindo Air is a Malaysian hybrid full-service and low-cost airline that became the first operator of the Boeing 737 MAX 8.
  • C. Akasa Air
    Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
  • D. Mango Airlines
    Mango Airlines is a South African low-cost airline that operated domestic and regional flights as a budget subsidiary of South African Airways.
  • E. T'way Air
    T'way Air is a South Korean low-cost airline headquartered in Seoul that operates domestic and international flights across Asia.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1e8e36c81908c95a8181781cda4 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7756a50608190b548ce4aeaaf9f9d completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c77814712881908d0754fd02514f94 completed March 28, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_69c778f30b248190a4a02039de68b965 completed March 28, 2026, 6:45 a.m.
Created at: March 27, 2026, 2:34 p.m.