Triple

T23406216
Position Surface form Disambiguated ID Type / Status
Subject Yanji Chaoyangchuan International Airport E559940 entity
Predicate IATAcode P418 FINISHED
Object YNJ
YNJ is the IATA airport code for Yanji Chaoyangchuan International Airport serving Yanji in Jilin Province, China.
 E1584265 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: YNJ | Statement: [Yanji Chaoyangchuan International Airport, IATAcode, YNJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YNJ
Context triple: [Yanji Chaoyangchuan International Airport, IATAcode, YNJ]
  • A. NYJ
    NYJ is the common abbreviation for the New York Jets, a professional American football team based in the New York metropolitan area that competes in the NFL.
  • B. YNB
    YNB is the IATA airport code for Yanbu Airport, serving the city of Yanbu in Saudi Arabia.
  • C. YN
    YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
  • D. NY6
    NY6 refers to the six premier college football bowl games that form the core of the postseason under the College Football Playoff system.
  • E. NYD
    NYD is the commonly used abbreviation for Botswana’s Ntlo ya Dikgosi, the national House of Chiefs that advises on constitutional and traditional matters.
  • 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: YNJ
Triple: [Yanji Chaoyangchuan International Airport, IATAcode, YNJ]
Generated description
YNJ is the IATA airport code for Yanji Chaoyangchuan International Airport serving Yanji in Jilin Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YNJ
Target entity description: YNJ is the IATA airport code for Yanji Chaoyangchuan International Airport serving Yanji in Jilin Province, China.
  • A. NYJ
    NYJ is the common abbreviation for the New York Jets, a professional American football team based in the New York metropolitan area that competes in the NFL.
  • B. YNB
    YNB is the IATA airport code for Yanbu Airport, serving the city of Yanbu in Saudi Arabia.
  • C. YN
    YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
  • D. NY6
    NY6 refers to the six premier college football bowl games that form the core of the postseason under the College Football Playoff system.
  • E. NYD
    NYD is the commonly used abbreviation for Botswana’s Ntlo ya Dikgosi, the national House of Chiefs that advises on constitutional and traditional matters.
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4e364548190b98dc09240fba58e completed April 29, 2026, 6:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5df67cac8190868ab0068248be07 completed May 19, 2026, 12:56 p.m.
NEDg Description generation batch_6a0c5ff391208190a1e5e5d3604de8fb completed May 19, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_6a0c609b4e108190a8abe634d326f62d completed May 19, 2026, 1:07 p.m.
Created at: April 17, 2026, 5:38 p.m.