Triple

T7635996
Position Surface form Disambiguated ID Type / Status
Subject Nanjing Lukou International Airport E172879 entity
Predicate IATAcode P418 FINISHED
Object NKG
NKG is the IATA airport code for Nanjing Lukou International Airport, the main commercial airport serving Nanjing in eastern China.
 E678057 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: NKG | Statement: [Nanjing Lukou International Airport, IATAcode, NKG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NKG
Context triple: [Nanjing Lukou International Airport, IATAcode, NKG]
  • A. NKT
    NKT is the IATA airport code for Marine Corps Air Station Cherry Point, a major United States Marine Corps airfield in North Carolina.
  • B. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • C. NKGB
    NKGB was a Soviet state security and intelligence agency that operated before the formation of the KGB, handling internal security, counterintelligence, and secret police functions.
  • D. KNG
    KNG is the National Rail station code for Kingston railway station in London, England.
  • E. KGN
    KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
  • 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: NKG
Triple: [Nanjing Lukou International Airport, IATAcode, NKG]
Generated description
NKG is the IATA airport code for Nanjing Lukou International Airport, the main commercial airport serving Nanjing in eastern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NKG
Target entity description: NKG is the IATA airport code for Nanjing Lukou International Airport, the main commercial airport serving Nanjing in eastern China.
  • A. NKT
    NKT is the IATA airport code for Marine Corps Air Station Cherry Point, a major United States Marine Corps airfield in North Carolina.
  • B. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • C. NKGB
    NKGB was a Soviet state security and intelligence agency that operated before the formation of the KGB, handling internal security, counterintelligence, and secret police functions.
  • D. KNG
    KNG is the National Rail station code for Kingston railway station in London, England.
  • E. KGN
    KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faa95e488190962c23609e0890a5 completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870c33ce081908df916d769fa84be completed March 29, 2026, 12:22 a.m.
NEDg Description generation batch_69c871e18b188190adeeca26c4808ed5 completed March 29, 2026, 12:27 a.m.
NED2 Entity disambiguation (via description) batch_69c872edf39c8190acc70d998df2b192 completed March 29, 2026, 12:31 a.m.
Created at: March 27, 2026, 3:57 p.m.