Triple

T4684389
Position Surface form Disambiguated ID Type / Status
Subject Cessnock Airport E103883 entity
Predicate ICAOcode P419 FINISHED
Object YCNK
YCNK is the ICAO airport code for Cessnock Airport, a regional airfield serving the Hunter Valley region of New South Wales, Australia.
 E460535 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: YCNK | Statement: [Cessnock Airport, ICAOcode, YCNK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YCNK
Context triple: [Cessnock Airport, ICAOcode, YCNK]
  • A. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • B. YC
    YC is the IATA airline designator assigned to Yamal Airlines, a Russian regional carrier based in the Yamalo-Nenets Autonomous Okrug.
  • C. YN
    YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
  • D. YKA
    YKA is the IATA airport code for Kamloops Airport, a regional airport serving the city of Kamloops in British Columbia, Canada.
  • E. YKF
    YKF is the IATA airport code for Region of Waterloo International Airport serving the Kitchener–Waterloo area in Ontario, Canada.
  • 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: YCNK
Triple: [Cessnock Airport, ICAOcode, YCNK]
Generated description
YCNK is the ICAO airport code for Cessnock Airport, a regional airfield serving the Hunter Valley region of New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YCNK
Target entity description: YCNK is the ICAO airport code for Cessnock Airport, a regional airfield serving the Hunter Valley region of New South Wales, Australia.
  • A. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • B. YC
    YC is the IATA airline designator assigned to Yamal Airlines, a Russian regional carrier based in the Yamalo-Nenets Autonomous Okrug.
  • C. YN
    YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
  • D. YKA
    YKA is the IATA airport code for Kamloops Airport, a regional airport serving the city of Kamloops in British Columbia, Canada.
  • E. YKF
    YKF is the IATA airport code for Region of Waterloo International Airport serving the Kitchener–Waterloo area in Ontario, Canada.
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63829b048190a2044de900ef7a69 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03b07664819097d959fde1b0585b completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be04dc48b08190947cde715f87a4d0 completed March 21, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69be05742e248190bb0e846189dfcfb5 completed March 21, 2026, 2:41 a.m.
Created at: March 20, 2026, 1:16 p.m.