Triple

T1370975
Position Surface form Disambiguated ID Type / Status
Subject Melbourne Airport E30111 entity
Predicate ICAOcode P419 FINISHED
Object YMML
YMML is the ICAO airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
 E158313 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: YMML | Statement: [Melbourne Airport, ICAOcode, YMML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YMML
Context triple: [Melbourne Airport, ICAOcode, YMML]
  • A. YWLM
    YWLM is the ICAO airport code for Newcastle Airport in New South Wales, Australia.
  • B. 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.
  • C. CYHM
    CYHM is the ICAO airport code for John C. Munro Hamilton International Airport in Hamilton, Ontario, Canada.
  • D. KMVY
    KMVY is the ICAO airport code for Martha's Vineyard Airport, a public airport serving Martha's Vineyard in Massachusetts, USA.
  • E. YEM
    YEM is the three-letter ISO 3166-1 alpha-3 country code assigned to Yemen for international identification and data standards.
  • 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: YMML
Triple: [Melbourne Airport, ICAOcode, YMML]
Generated description
YMML is the ICAO airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YMML
Target entity description: YMML is the ICAO airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
  • A. YWLM
    YWLM is the ICAO airport code for Newcastle Airport in New South Wales, Australia.
  • B. 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.
  • C. CYHM
    CYHM is the ICAO airport code for John C. Munro Hamilton International Airport in Hamilton, Ontario, Canada.
  • D. KMVY
    KMVY is the ICAO airport code for Martha's Vineyard Airport, a public airport serving Martha's Vineyard in Massachusetts, USA.
  • E. YEM
    YEM is the three-letter ISO 3166-1 alpha-3 country code assigned to Yemen for international identification and data standards.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d7b6008190bc0303b56959ba56 completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd481de608190bed1dc385209320e completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd6a03b70819096bdf7ec3b447756 completed March 8, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_69acd71971448190940136b8a44040be completed March 8, 2026, 1:55 a.m.
Created at: March 1, 2026, 7:57 p.m.