Triple

T2262815
Position Surface form Disambiguated ID Type / Status
Subject TAR Aerolíneas E50075 entity
Predicate fleetManufacturer P1849 FINISHED
Object Embraer E39978 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: Embraer | Statement: [TAR Aerolíneas, fleetManufacturer, Embraer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Embraer
Context triple: [TAR Aerolíneas, fleetManufacturer, Embraer]
  • A. Embraer chosen
    Embraer is a Brazilian aerospace company best known globally for designing and manufacturing regional and business jets used by airlines and operators worldwide.
  • B. Embraer Executive Jets
    Embraer Executive Jets is the business aviation division of Brazilian aerospace company Embraer, responsible for designing, manufacturing, and supporting its line of corporate and private jets.
  • C. Embraer Legacy business jets
    Embraer Legacy business jets are a family of Brazilian-built midsize and super-midsize corporate aircraft known for spacious cabins, long-range capability, and competitive operating costs.
  • D. Airbus
    Airbus is a major European aerospace corporation known for designing and manufacturing commercial airliners such as the A320, A330, and A380 families.
  • E. Bombardier
    Bombardier is a major Canadian manufacturer of trains and rail equipment widely used by transit agencies around the world.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18be8308190abc4a59d37dfd93a completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71cfd3b08190988474aa0fa985fe completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.