Triple

T13512942
Position Surface form Disambiguated ID Type / Status
Subject Patria Aviation E322683 entity
Predicate partOf P40 FINISHED
Object Patria Group E1044533 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: Patria Group | Statement: [Patria Aviation, partOf, Patria Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patria Group
Context triple: [Patria Aviation, partOf, Patria Group]
  • A. Patria Group chosen
    Patria Group is a Finnish defense, security, and aviation technology company known for developing and manufacturing military vehicles, systems, and related services.
  • B. Grupo Carso
    Grupo Carso is a major Mexican conglomerate controlled by Carlos Slim, with diversified interests spanning retail, industrial manufacturing, infrastructure, and real estate development.
  • C. Miramar Group
    Miramar Group is a Taiwanese conglomerate best known for its investments in retail, entertainment, and hospitality, including major shopping and leisure complexes.
  • D. Tocumen S.A.
    Tocumen S.A. is the state-owned company responsible for managing and operating Panama’s main air hub, Tocumen International Airport.
  • E. Sobretta-Gavia Group
    The Sobretta-Gavia Group is a mountain subgroup of the Rhaetian Alps in northern Italy, known for its high peaks, glaciated terrain, and popular alpine hiking and skiing routes.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf87ca288190a147fbdb2f90985f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d91e35881909a7184be0ad70c14 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.