Triple

T5942731
Position Surface form Disambiguated ID Type / Status
Subject Boeing 737 MAX 9 E132205 entity
Predicate airlinesOperating P8362 FINISHED
Object Copa Airlines E45992 NE FINISHED

How this triple was built (2 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: Copa Airlines | Statement: [Boeing 737 MAX 9, airlinesOperating, Copa Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copa Airlines
Context triple: [Boeing 737 MAX 9, airlinesOperating, Copa Airlines]
  • A. Copa Airlines chosen
    Copa Airlines is the flag carrier of Panama and a major Latin American airline known for its extensive route network centered on its hub in Panama City.
  • B. Avianca
    Avianca is Colombia’s flagship airline and one of Latin America’s largest carriers, operating an extensive domestic and international route network.
  • C. Condor Airlines
    Condor Airlines is a German leisure airline that primarily operates holiday flights from Germany to vacation destinations worldwide.
  • D. LATAM Airlines Group
    LATAM Airlines Group is a major Latin American airline holding company formed by the merger of LAN Airlines and TAM Airlines, operating an extensive network of domestic and international routes across the Americas and beyond.
  • E. Viva Aerobus
    Viva Aerobus is a Mexican low-cost airline known for offering budget-friendly domestic and regional flights across Mexico and select international destinations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c049fdb3e08190a72337ab4f48bc8e completed March 22, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c07f9ab081909fe7727837fa7f7a completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:01 p.m.