Triple

T757622
Position Surface form Disambiguated ID Type / Status
Subject Montréal–Mirabel International Airport E15592 entity
Predicate ICAOcode P419 FINISHED
Object CYMX
CYMX is the ICAO airport code for Montréal–Mirabel International Airport, a major cargo and aerospace hub located northwest of Montreal, Quebec, Canada.
 E90408 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: CYMX | Statement: [Montréal–Mirabel International Airport, ICAOcode, CYMX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CYMX
Context triple: [Montréal–Mirabel International Airport, ICAOcode, CYMX]
  • A. CX
    CX is the two-letter IATA airline designator used to identify Cathay Pacific in global aviation systems.
  • B. CY
    CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
  • C. Tinte
    Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
  • D. COL$
    COL$ is the currency symbol commonly used to denote the Colombian peso, the official monetary unit of Colombia.
  • E. Eastmancolor
    Eastmancolor is a color motion picture film process developed by Eastman Kodak that became widely used in the mid-20th century as a more economical alternative to earlier color systems like Technicolor.
  • 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: CYMX
Triple: [Montréal–Mirabel International Airport, ICAOcode, CYMX]
Generated description
CYMX is the ICAO airport code for Montréal–Mirabel International Airport, a major cargo and aerospace hub located northwest of Montreal, Quebec, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CYMX
Target entity description: CYMX is the ICAO airport code for Montréal–Mirabel International Airport, a major cargo and aerospace hub located northwest of Montreal, Quebec, Canada.
  • A. CX
    CX is the two-letter IATA airline designator used to identify Cathay Pacific in global aviation systems.
  • B. CY
    CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
  • C. Tinte
    Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
  • D. COL$
    COL$ is the currency symbol commonly used to denote the Colombian peso, the official monetary unit of Colombia.
  • E. Eastmancolor
    Eastmancolor is a color motion picture film process developed by Eastman Kodak that became widely used in the mid-20th century as a more economical alternative to earlier color systems like Technicolor.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a66c2e108190a754c60d2eac6676 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e426adc8190b7fa65aeacf8737f completed March 3, 2026, 4:06 a.m.
NEDg Description generation batch_69a65fea3b0c819089690f928bbe7bbd completed March 3, 2026, 4:13 a.m.
NED2 Entity disambiguation (via description) batch_69a660290dc881908130db992636fa57 completed March 3, 2026, 4:14 a.m.
Created at: March 1, 2026, 7:37 p.m.