Triple

T6894681
Position Surface form Disambiguated ID Type / Status
Subject Changsha Huanghua International Airport E159141 entity
Predicate ICAOcode P419 FINISHED
Object ZGHA
ZGHA is the ICAO airport code for Changsha Huanghua International Airport, a major air transport hub serving Changsha and the Hunan province in China.
 E626737 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: ZGHA | Statement: [Changsha Huanghua International Airport, ICAOcode, ZGHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZGHA
Context triple: [Changsha Huanghua International Airport, ICAOcode, ZGHA]
  • A. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • B. ZAG
    ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
  • C. GZT
    GZT is the IATA airport code for Oğuzeli Airport serving Gaziantep in southeastern Turkey.
  • D. ZGZH
    ZGZH is the ICAO airport code for Liuzhou Bailian Airport in Liuzhou, Guangxi, China.
  • E. ZGB
    ZGB is the abbreviation for the Swiss Civil Code, the fundamental body of private law governing civil matters in Switzerland.
  • 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: ZGHA
Triple: [Changsha Huanghua International Airport, ICAOcode, ZGHA]
Generated description
ZGHA is the ICAO airport code for Changsha Huanghua International Airport, a major air transport hub serving Changsha and the Hunan province in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZGHA
Target entity description: ZGHA is the ICAO airport code for Changsha Huanghua International Airport, a major air transport hub serving Changsha and the Hunan province in China.
  • A. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • B. ZAG
    ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
  • C. GZT
    GZT is the IATA airport code for Oğuzeli Airport serving Gaziantep in southeastern Turkey.
  • D. ZGZH
    ZGZH is the ICAO airport code for Liuzhou Bailian Airport in Liuzhou, Guangxi, China.
  • E. ZGB
    ZGB is the abbreviation for the Swiss Civil Code, the fundamental body of private law governing civil matters in Switzerland.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d933032c8190997d67a15897619b completed March 27, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748db2bd48190bb26f60c58ec8229 completed March 28, 2026, 3:19 a.m.
NEDg Description generation batch_69c749901de081908e5c3ccd324e8191 completed March 28, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69c74a0bcddc819084b22925cf57a205 completed March 28, 2026, 3:24 a.m.
Created at: March 27, 2026, 2:24 p.m.