Triple

T2097752
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Hongqiao International Airport E37020 entity
Predicate ICAOcode P419 FINISHED
Object ZSSS
ZSSS is the ICAO airport code for Shanghai Hongqiao International Airport, a major domestic and regional aviation hub in Shanghai, China.
 E233567 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: ZSSS | Statement: [Shanghai Hongqiao International Airport, ICAOcode, ZSSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZSSS
Context triple: [Shanghai Hongqiao International Airport, ICAOcode, ZSSS]
  • A. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • B. HSSS
    HSSS is the ICAO airport code for Khartoum International Airport, the main international gateway to Sudan’s capital city.
  • C. SSS
    SSS is the commonly used abbreviation for the Selective Service System, the U.S. government agency that maintains information on individuals potentially subject to military conscription.
  • D. ZGGG
    ZGGG is the ICAO airport code for Guangzhou Baiyun International Airport, a major aviation hub serving Guangzhou in southern China.
  • E. ZZ
    ZZ is an aircraft registration prefix used to identify certain aircraft, such as those in the Voyager KC2 fleet.
  • 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: ZSSS
Triple: [Shanghai Hongqiao International Airport, ICAOcode, ZSSS]
Generated description
ZSSS is the ICAO airport code for Shanghai Hongqiao International Airport, a major domestic and regional aviation hub in Shanghai, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZSSS
Target entity description: ZSSS is the ICAO airport code for Shanghai Hongqiao International Airport, a major domestic and regional aviation hub in Shanghai, China.
  • A. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • B. HSSS
    HSSS is the ICAO airport code for Khartoum International Airport, the main international gateway to Sudan’s capital city.
  • C. SSS
    SSS is the commonly used abbreviation for the Selective Service System, the U.S. government agency that maintains information on individuals potentially subject to military conscription.
  • D. ZGGG
    ZGGG is the ICAO airport code for Guangzhou Baiyun International Airport, a major aviation hub serving Guangzhou in southern China.
  • E. ZZ
    ZZ is an aircraft registration prefix used to identify certain aircraft, such as those in the Voyager KC2 fleet.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba9cb84481909fe0a66c020b8864 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3060b834819091dff510b89b3ec8 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae30f84d548190b2d99162471207a4 completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae317473408190ad67374cfb82a7db completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.