Triple

T9573268
Position Surface form Disambiguated ID Type / Status
Subject Copa Airlines E230979 entity
Predicate hasIATAcode P2569 FINISHED
Object CM
CM is the two-letter IATA airline designator assigned to Copa Airlines, the flag carrier of Panama.
 E807712 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: CM | Statement: [Copa Airlines, hasIATAcode, CM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CM
Context triple: [Copa Airlines, hasIATAcode, CM]
  • A. CM
    CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
  • B. CM
    CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
  • C. CM
    CM is the postcode area in the United Kingdom that covers Chelmsford and surrounding parts of Essex.
  • D. CM
    CM is the stock ticker symbol for the Canadian Imperial Bank of Commerce, one of Canada's largest and oldest chartered banks.
  • E. CM
    CM is the vehicle registration code assigned to the city of Comrat in Moldova.
  • 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: CM
Triple: [Copa Airlines, hasIATAcode, CM]
Generated description
CM is the two-letter IATA airline designator assigned to Copa Airlines, the flag carrier of Panama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CM
Target entity description: CM is the two-letter IATA airline designator assigned to Copa Airlines, the flag carrier of Panama.
  • A. CM
    CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
  • B. CM
    CM is the stock ticker symbol for the Canadian Imperial Bank of Commerce, one of Canada's largest and oldest chartered banks.
  • C. CM
    CM is the vehicle registration code assigned to the city of Comrat in Moldova.
  • D. CM
    CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
  • E. CM
    CM is the commonly used abbreviation for the Committee of Ministers, the decision-making body of the Council of Europe composed of the foreign ministers of member states or their representatives.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd998d79cc8190b94e5953915a5fa4 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152bf5c548190b6c33cc49e418ef7 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d15404e9508190b5d9f1239586ab9a completed April 4, 2026, 6:10 p.m.
NED2 Entity disambiguation (via description) batch_69d1546a503c81908edc9588adabc172 completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:04 p.m.