Triple

T17651982
Position Surface form Disambiguated ID Type / Status
Subject Perimeter Aviation E429513 entity
Predicate ICAOCode P419 FINISHED
Object PAG
PAG is the ICAO airline designator for Perimeter Aviation, a Canadian regional airline serving remote and northern communities.
 E1281721 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: PAG | Statement: [Perimeter Aviation, ICAOCode, PAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PAG
Context triple: [Perimeter Aviation, ICAOCode, PAG]
  • A. PAG
    PAG is the IATA airport code for Perimeter Aviation, a Canadian regional airline serving remote and northern communities.
  • B. PAG
    PAG is the stock ticker and common abbreviation for Penske Automotive Group, a large international transportation services company specializing in automotive and commercial truck dealerships.
  • C. Ipag
    Ipag is a barangay (village-level administrative division) located within the municipality of Mariveles in the province of Bataan, Philippines.
  • D. PAGY
    PAGY is the ICAO airport code assigned to Skagway Airport in Skagway, Alaska.
  • E. Pagasae
    Pagasae was an ancient coastal city and harbor in Thessaly, Greece, known as a key port on the Pagasetic Gulf in classical antiquity.
  • 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: PAG
Triple: [Perimeter Aviation, ICAOCode, PAG]
Generated description
PAG is the ICAO airline designator for Perimeter Aviation, a Canadian regional airline serving remote and northern communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PAG
Target entity description: PAG is the ICAO airline designator for Perimeter Aviation, a Canadian regional airline serving remote and northern communities.
  • A. PAG
    PAG is the stock ticker and common abbreviation for Penske Automotive Group, a large international transportation services company specializing in automotive and commercial truck dealerships.
  • B. PAG
    PAG is the IATA airport code for Perimeter Aviation, a Canadian regional airline serving remote and northern communities.
  • C. Ipag
    Ipag is a barangay (village-level administrative division) located within the municipality of Mariveles in the province of Bataan, Philippines.
  • D. PAGY
    PAGY is the ICAO airport code assigned to Skagway Airport in Skagway, Alaska.
  • E. Pagasae
    Pagasae was an ancient coastal city and harbor in Thessaly, Greece, known as a key port on the Pagasetic Gulf in classical antiquity.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3e0ae481908382570f802d8144 completed April 19, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02231e338081908c54ac295290b417 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a0225108620819080c7ee956177767c completed May 11, 2026, 6:50 p.m.
NED2 Entity disambiguation (via description) batch_6a0225ae3ec08190ba86f9aff74c653f completed May 11, 2026, 6:53 p.m.
Created at: April 10, 2026, 6:05 a.m.