Triple

T12053083
Position Surface form Disambiguated ID Type / Status
Subject Kempsey Airport E286966 entity
Predicate ICAOCode P419 FINISHED
Object YKMP
YKMP is the ICAO airport code for Kempsey Airport, a regional airfield serving the Kempsey area in New South Wales, Australia.
E960872 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: YKMP | Statement: [Kempsey Airport, ICAOCode, YKMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YKMP
Context triple: [Kempsey Airport, ICAOCode, YKMP]
  • A. YKA
    YKA is the IATA airport code for Kamloops Airport, a regional airport serving the city of Kamloops in British Columbia, Canada.
  • B. YFM
    YFM is the abbreviated name commonly used for Yokohama F. Marinos, a professional football club based in Yokohama, Japan.
  • C. YBMK
    YBMK is the ICAO airport code for Mackay Airport, a regional airport serving the city of Mackay in Queensland, Australia.
  • D. YK40
    YK40 is the ICAO aircraft type designator for the Yakovlev Yak-40, a small three-engined regional jet airliner developed in the Soviet Union.
  • E. YMPE
    YMPE is a key earnings ceiling used by the Canada Pension Plan to determine maximum pensionable earnings and benefit calculations.
  • 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: YKMP
Triple: [Kempsey Airport, ICAOCode, YKMP]
Generated description
YKMP is the ICAO airport code for Kempsey Airport, a regional airfield serving the Kempsey area in New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: YKMP
Target entity description: YKMP is the ICAO airport code for Kempsey Airport, a regional airfield serving the Kempsey area in New South Wales, Australia.
  • A. YKA
    YKA is the IATA airport code for Kamloops Airport, a regional airport serving the city of Kamloops in British Columbia, Canada.
  • B. YFM
    YFM is the abbreviated name commonly used for Yokohama F. Marinos, a professional football club based in Yokohama, Japan.
  • C. YBMK
    YBMK is the ICAO airport code for Mackay Airport, a regional airport serving the city of Mackay in Queensland, Australia.
  • D. YK40
    YK40 is the ICAO aircraft type designator for the Yakovlev Yak-40, a small three-engined regional jet airliner developed in the Soviet Union.
  • E. YMPE
    YMPE is a key earnings ceiling used by the Canada Pension Plan to determine maximum pensionable earnings and benefit calculations.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90423b22081908fba82fbc6b40eb5 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49ddde6548190adae2a889ec5c72b completed May 1, 2026, 12:34 p.m.
NEDg Description generation batch_69f53d95d4fc8190b5f4e460646bec2a completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f56505c0b481909f9caaf338f73033 completed May 2, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:47 p.m.