Triple

T13512845
Position Surface form Disambiguated ID Type / Status
Subject Patria Nemo E322680 entity
Predicate designedBy P184 FINISHED
Object Patria Land Systems E62006 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 Land Systems | Statement: [Patria Nemo, designedBy, Patria Land Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patria Land Systems
Context triple: [Patria Nemo, designedBy, Patria Land Systems]
  • A. Patria Land Systems chosen
    Patria Land Systems is a Finnish defense company specializing in the design and production of armored military vehicles and related land warfare systems.
  • B. Denel Dynamics
    Denel Dynamics is a South African defense technology company specializing in the design and manufacture of advanced missile and unmanned aerial systems.
  • C. Marshall Land Systems
    Marshall Land Systems is a UK-based defence and aerospace engineering company specializing in the design, manufacture, and support of deployable infrastructure, military vehicles, and mission-critical land-based systems.
  • D. MOWAG
    MOWAG is a Swiss defense vehicle manufacturer best known for designing and producing the Piranha family of wheeled armored combat vehicles.
  • E. Nexter Systems
    Nexter Systems is a French defense company specializing in the design and manufacture of military land systems, including armored vehicles, artillery, and ammunition.
  • 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_69f75492676c81909602745e2b6436cb completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.