Triple

T12256076
Position Surface form Disambiguated ID Type / Status
Subject Changzhou Benniu International Airport E292103 entity
Predicate ICAOcode P419 FINISHED
Object ZSCG
ZSCG is the ICAO airport code assigned to Changzhou Benniu International Airport in Changzhou, Jiangsu Province, China.
 E972669 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: ZSCG | Statement: [Changzhou Benniu International Airport, ICAOcode, ZSCG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZSCG
Context triple: [Changzhou Benniu International Airport, ICAOcode, ZSCG]
  • A. SCGZ
    SCGZ is the ICAO airport code for Guardiamarina Zañartu Airport, a small airfield serving Puerto Williams in southern Chile.
  • B. ZCS
    ZCS is the public school district serving the town of Zionsville and surrounding areas in Indiana, known for strong academic performance and community involvement.
  • C. ZC
    ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
  • D. ZGSZ
    ZGSZ is the ICAO airport code for Shenzhen Bao’an International Airport, a major aviation hub serving the city of Shenzhen in Guangdong, China.
  • E. ZSFG
    ZSFG is a major public hospital and Level I trauma center serving San Francisco, known for providing comprehensive emergency, inpatient, and outpatient medical care.
  • 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: ZSCG
Triple: [Changzhou Benniu International Airport, ICAOcode, ZSCG]
Generated description
ZSCG is the ICAO airport code assigned to Changzhou Benniu International Airport in Changzhou, Jiangsu Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZSCG
Target entity description: ZSCG is the ICAO airport code assigned to Changzhou Benniu International Airport in Changzhou, Jiangsu Province, China.
  • A. SCGZ
    SCGZ is the ICAO airport code for Guardiamarina Zañartu Airport, a small airfield serving Puerto Williams in southern Chile.
  • B. ZCS
    ZCS is the public school district serving the town of Zionsville and surrounding areas in Indiana, known for strong academic performance and community involvement.
  • C. ZC
    ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
  • D. ZGSZ
    ZGSZ is the ICAO airport code for Shenzhen Bao’an International Airport, a major aviation hub serving the city of Shenzhen in Guangdong, China.
  • E. ZSFG
    ZSFG is a major public hospital and Level I trauma center serving San Francisco, known for providing comprehensive emergency, inpatient, and outpatient medical care.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc9dd5081908880061d52351850 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abdc5988190a19104385f54fb06 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60d8456d881908b5647b77fc53780 completed May 2, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69f60e2c52b0819094c8e67286235400 completed May 2, 2026, 2:46 p.m.
Created at: April 8, 2026, 9:52 p.m.