Triple

T7061347
Position Surface form Disambiguated ID Type / Status
Subject Albury Airport E164222 entity
Predicate ICAO code P419 FINISHED
Object YMAY
YMAY is the ICAO airport code for Albury Airport, a regional airport serving the city of Albury in New South Wales, Australia.
 E638912 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: YMAY | Statement: [Albury Airport, ICAO code, YMAY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YMAY
Context triple: [Albury Airport, ICAO code, YMAY]
  • A. YHM
    YHM is the IATA airport code for John C. Munro Hamilton International Airport, a regional passenger and cargo airport serving the Hamilton, Ontario area in Canada.
  • B. CYAM
    CYAM is the ICAO airport code for Sault Ste. Marie Airport in Ontario, Canada.
  • C. YMX
    YMX is the IATA airport code for Montréal–Mirabel International Airport, a major cargo and aerospace hub located northwest of Montreal, Canada.
  • D. Amay
    Amay is a municipality in the Walloon Region of Belgium, located in the province of Liège along the Meuse River.
  • E. YAM
    YAM is the IATA airport code for Sault Ste. Marie Airport 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: YMAY
Triple: [Albury Airport, ICAO code, YMAY]
Generated description
YMAY is the ICAO airport code for Albury Airport, a regional airport serving the city of Albury in New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YMAY
Target entity description: YMAY is the ICAO airport code for Albury Airport, a regional airport serving the city of Albury in New South Wales, Australia.
  • A. YHM
    YHM is the IATA airport code for John C. Munro Hamilton International Airport, a regional passenger and cargo airport serving the Hamilton, Ontario area in Canada.
  • B. CYAM
    CYAM is the ICAO airport code for Sault Ste. Marie Airport in Ontario, Canada.
  • C. YMX
    YMX is the IATA airport code for Montréal–Mirabel International Airport, a major cargo and aerospace hub located northwest of Montreal, Canada.
  • D. Amay
    Amay is a municipality in the Walloon Region of Belgium, located in the province of Liège along the Meuse River.
  • E. YAM
    YAM is the IATA airport code for Sault Ste. Marie Airport 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e45b7488819094d2dd337731dab9 completed March 27, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c788b4b6788190aa4e74b9e7eb7eaa completed March 28, 2026, 7:52 a.m.
NEDg Description generation batch_69c7893f85588190b1ed983f00ea2532 completed March 28, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69c78b0fe83481909cad77ce740b81d5 completed March 28, 2026, 8:02 a.m.
Created at: March 27, 2026, 2:38 p.m.