Triple

T22715896
Position Surface form Disambiguated ID Type / Status
Subject Sunan Shuofang International Airport E561730 entity
Predicate partOf P40 FINISHED
Object Yangtze River Delta airport system — NE NERFINISHED

How this triple was built (3 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: Yangtze River Delta airport system | Statement: [Sunan Shuofang International Airport, partOf, Yangtze River Delta airport system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yangtze River Delta airport system
Context triple: [Sunan Shuofang International Airport, partOf, Yangtze River Delta airport system]
  • A. Shanghai airports
    Shanghai airports are the major air transport hubs serving Shanghai, including its primary international and domestic passenger and cargo terminals.
  • B. Wuhan Tianhe International Airport
    Wuhan Tianhe International Airport is a major aviation hub in central China serving the city of Wuhan with extensive domestic and international flight connections.
  • C. Hangzhou Xiaoshan International Airport
    Hangzhou Xiaoshan International Airport is a major airport serving Hangzhou and the Yangtze River Delta region in eastern China, handling extensive domestic and international passenger and cargo traffic.
  • D. Changzhou Benniu International Airport
    Changzhou Benniu International Airport is a regional commercial airport serving the city of Changzhou in Jiangsu Province, China, with domestic and limited international flights.
  • E. Nanjing Lukou International Airport
    Nanjing Lukou International Airport is a major international airport serving the city of Nanjing in eastern China, acting as a key regional hub for both domestic and international flights.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yangtze River Delta airport system
Target entity description: The Yangtze River Delta airport system is a major integrated network of airports serving one of China’s most economically developed and densely populated regions, centered around cities such as Shanghai, Nanjing, and Hangzhou.
  • A. Shanghai airports
    Shanghai airports are the major air transport hubs serving Shanghai, including its primary international and domestic passenger and cargo terminals.
  • B. Wuhan Tianhe International Airport
    Wuhan Tianhe International Airport is a major aviation hub in central China serving the city of Wuhan with extensive domestic and international flight connections.
  • C. Hangzhou Xiaoshan International Airport
    Hangzhou Xiaoshan International Airport is a major airport serving Hangzhou and the Yangtze River Delta region in eastern China, handling extensive domestic and international passenger and cargo traffic.
  • D. Changzhou Benniu International Airport
    Changzhou Benniu International Airport is a regional commercial airport serving the city of Changzhou in Jiangsu Province, China, with domestic and limited international flights.
  • E. Nanjing Lukou International Airport
    Nanjing Lukou International Airport is a major international airport serving the city of Nanjing in eastern China, acting as a key regional hub for both domestic and international flights.
  • F. None of above. chosen

Provenance (2 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790ca59881909064d49f331fb711 completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:19 p.m.