Triple

T9779958
Position Surface form Disambiguated ID Type / Status
Subject Sanya Phoenix International Airport E237341 entity
Predicate ICAOcode P419 FINISHED
Object ZJSY
ZJSY is the ICAO airport code for Sanya Phoenix International Airport, a major civil aviation hub serving Sanya in Hainan, China.
 E819838 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: ZJSY | Statement: [Sanya Phoenix International Airport, ICAOcode, ZJSY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZJSY
Context triple: [Sanya Phoenix International Airport, ICAOcode, ZJSY]
  • A. ZHSY
    ZHSY is the ICAO airport code assigned to Shiyan Wudangshan Airport in Hubei Province, China.
  • B. ZDJ
    ZDJ is the IATA station code for Bern Hauptbahnhof, the main railway station in Bern, Switzerland.
  • C. 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.
  • D. ZSNJ
    ZSNJ is the ICAO airport code for Nanjing Lukou International Airport, a major civil aviation hub serving Nanjing in eastern China.
  • E. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • 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: ZJSY
Triple: [Sanya Phoenix International Airport, ICAOcode, ZJSY]
Generated description
ZJSY is the ICAO airport code for Sanya Phoenix International Airport, a major civil aviation hub serving Sanya in Hainan, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZJSY
Target entity description: ZJSY is the ICAO airport code for Sanya Phoenix International Airport, a major civil aviation hub serving Sanya in Hainan, China.
  • A. ZHSY
    ZHSY is the ICAO airport code assigned to Shiyan Wudangshan Airport in Hubei Province, China.
  • B. ZDJ
    ZDJ is the IATA station code for Bern Hauptbahnhof, the main railway station in Bern, Switzerland.
  • C. 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.
  • D. ZSNJ
    ZSNJ is the ICAO airport code for Nanjing Lukou International Airport, a major civil aviation hub serving Nanjing in eastern China.
  • E. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b0b15881909ef52d0156148c59 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd28b0e48190984cf44d88f324d7 completed April 5, 2026, 1:38 a.m.
NEDg Description generation batch_69d1be259b388190bf60b97a6be12715 completed April 5, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_69d1bea090b48190ae903036cc79dded completed April 5, 2026, 1:45 a.m.
Created at: March 30, 2026, 8:27 p.m.