Triple

T17651981
Position Surface form Disambiguated ID Type / Status
Subject Perimeter Aviation E429513 entity
Predicate IATACode P418 FINISHED
Object PAG
PAG is the IATA airport code for Perimeter Aviation, a Canadian regional airline serving remote and northern communities.
 E1280640 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, IATACode, PAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PAG
Context triple: [Perimeter Aviation, IATACode, PAG]
  • 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. Ipag
    Ipag is a barangay (village-level administrative division) located within the municipality of Mariveles in the province of Bataan, Philippines.
  • C. PAGY
    PAGY is the ICAO airport code assigned to Skagway Airport in Skagway, Alaska.
  • D. Pagasae
    Pagasae was an ancient coastal city and harbor in Thessaly, Greece, known as a key port on the Pagasetic Gulf in classical antiquity.
  • E. Pag
    Pag is a Croatian Adriatic island known for its barren, moonlike landscape, distinctive sheep’s milk cheese, and historic lace-making tradition.
  • 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, IATACode, PAG]
Generated description
PAG is the IATA airport code 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 IATA airport code 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. Ipag
    Ipag is a barangay (village-level administrative division) located within the municipality of Mariveles in the province of Bataan, Philippines.
  • C. PAGY
    PAGY is the ICAO airport code assigned to Skagway Airport in Skagway, Alaska.
  • D. Pagasae
    Pagasae was an ancient coastal city and harbor in Thessaly, Greece, known as a key port on the Pagasetic Gulf in classical antiquity.
  • E. Pag
    Pag is a Croatian Adriatic island known for its barren, moonlike landscape, distinctive sheep’s milk cheese, and historic lace-making tradition.
  • 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_6a02165471208190801fd5118e483535 completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a021825b8e88190ba18669deba94cac completed May 11, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0218d29b9481909c5e48774fc6f68c completed May 11, 2026, 5:58 p.m.
Created at: April 10, 2026, 6:05 a.m.