Triple

T754011
Position Surface form Disambiguated ID Type / Status
Subject Montréal–Trudeau International Airport E15512 entity
Predicate ICAOcode P419 FINISHED
Object CYUL
CYUL is the ICAO airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
 E88650 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: CYUL | Statement: [Montréal–Trudeau International Airport, ICAOcode, CYUL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CYUL
Context triple: [Montréal–Trudeau International Airport, ICAOcode, CYUL]
  • A. YUL
    YUL is the three-letter IATA airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
  • B. CY
    CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
  • C. CUL
    CUL is the main research library of the University of Cambridge and one of the largest and most important academic libraries in the United Kingdom.
  • D. CYP
    CYP is the three-letter ISO 3166-1 alpha-3 country code assigned to Cyprus.
  • E. Kwintsheul
    Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
  • 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: CYUL
Triple: [Montréal–Trudeau International Airport, ICAOcode, CYUL]
Generated description
CYUL is the ICAO airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CYUL
Target entity description: CYUL is the ICAO airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
  • A. YUL chosen
    YUL is the three-letter IATA airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
  • B. CY
    CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
  • C. CUL
    CUL is the main research library of the University of Cambridge and one of the largest and most important academic libraries in the United Kingdom.
  • D. CYP
    CYP is the three-letter ISO 3166-1 alpha-3 country code assigned to Cyprus.
  • E. Kwintsheul
    Kwintsheul is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the Westland region.
  • F. None of above.

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_69a4a64ecadc8190a82e25444e7abba6 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.