Triple

T25905766
Position Surface form Disambiguated ID Type / Status
Subject Economy of Paraguay E652745 entity
Predicate dominantOwnershipPattern P2547 FINISHED
Object concentrated land ownership LITERAL 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: concentrated land ownership | Statement: [Economy of Paraguay, dominantOwnershipPattern, concentrated land ownership]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dominantOwnershipPattern
Context triple: [Economy of Paraguay, dominantOwnershipPattern, concentrated land ownership]
  • A. dominantStructure
    Indicates that one structure exerts primary control, influence, or prominence over other related structures within a given context.
  • B. dominantOn chosen
    Indicates that one entity exerts control, authority, or prevailing influence over another in a given context.
  • C. dominantComplex
    Indicates that one entity exerts primary control, influence, or prominence over another within a given context or system.
  • D. dominantComposition
    Indicates that one entity is the primary or prevailing component, material, or element that makes up or characterizes another entity.
  • E. dominantUntil
    Indicates that one entity maintains dominance over another up to, but not beyond, a specified point or condition in time.
  • F. None of above.

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_69e7ab3d3f8481909bc53ed64c06af33 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f65aa07c048190a5df30d53d8f0cf5 completed May 2, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69f659cc571c819097e51e531961d812 completed May 2, 2026, 8:08 p.m.
Created at: April 22, 2026, 8:27 a.m.