Triple

T14978330
Position Surface form Disambiguated ID Type / Status
Subject Changde Taohuayuan Airport E373510 entity
Predicate ICAO code P419 FINISHED
Object ZGCD
ZGCD is the ICAO airport code assigned to Changde Taohuayuan Airport in Hunan Province, China.
 E1130258 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: ZGCD | Statement: [Changde Taohuayuan Airport, ICAO code, ZGCD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZGCD
Context triple: [Changde Taohuayuan Airport, ICAO code, ZGCD]
  • A. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • B. ZGB
    ZGB is the abbreviation for the Swiss Civil Code, the fundamental body of private law governing civil matters in Switzerland.
  • C. 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.
  • D. JGCD
    JGCD is a leading peer-reviewed aerospace engineering journal focusing on guidance, navigation, control, and dynamics of flight vehicles and space systems.
  • E. ZGG
    ZGG is the National Rail station code assigned to Gunnersbury railway station in London.
  • 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: ZGCD
Triple: [Changde Taohuayuan Airport, ICAO code, ZGCD]
Generated description
ZGCD is the ICAO airport code assigned to Changde Taohuayuan Airport in Hunan Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZGCD
Target entity description: ZGCD is the ICAO airport code assigned to Changde Taohuayuan Airport in Hunan Province, China.
  • A. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • B. ZGB
    ZGB is the abbreviation for the Swiss Civil Code, the fundamental body of private law governing civil matters in Switzerland.
  • C. 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.
  • D. JGCD
    JGCD is a leading peer-reviewed aerospace engineering journal focusing on guidance, navigation, control, and dynamics of flight vehicles and space systems.
  • E. ZGG
    ZGG is the National Rail station code assigned to Gunnersbury railway station in London.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fbd138819092254ea37388026c completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8beca6d88190a0c1adb18c9f2ac4 completed May 9, 2026, 1:20 a.m.
NEDg Description generation batch_69fe8f94018881908d8185d692f9728a completed May 9, 2026, 1:36 a.m.
NED2 Entity disambiguation (via description) batch_69fe8fff27e881908163a1339019e192 completed May 9, 2026, 1:38 a.m.
Created at: April 10, 2026, 2:51 a.m.