Triple

T25905752
Position Surface form Disambiguated ID Type / Status
Subject Economy of Paraguay E652745 entity
Predicate agriculturalExportShare P159840 FINISHED
Object high 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: high | Statement: [Economy of Paraguay, agriculturalExportShare, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: agriculturalExportShare
Context triple: [Economy of Paraguay, agriculturalExportShare, high]
  • A. haveAgriculturalTrade
    Indicates that there is an ongoing exchange of agricultural goods or services between the related entities.
  • B. agriculturalProduce
    Indicates that one entity is an agricultural product (such as crops or livestock-derived goods) produced by or associated with another entity.
  • C. fruitExportDestination
    Indicates the place or country to which fruits are exported as their destination.
  • D. agriculturalFocus
    Indicates that an entity is primarily concerned with, oriented toward, or specializing in agriculture or farming-related activities.
  • E. hasAgriculturalProduction
    Indicates that an entity engages in or is characterized by the production of agricultural goods such as crops or livestock.
  • F. None of above. chosen

Provenance (4 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_69f603beb5248190aed52bf4e44f223c completed May 2, 2026, 2:01 p.m.
PD Predicate disambiguation batch_69f5afec3e94819080d9ba86cf8c866e completed May 2, 2026, 8:03 a.m.
PDg Predicate description generation batch_69f5f6b32a8881909baa0db57b80d56a completed May 2, 2026, 1:05 p.m.
Created at: April 22, 2026, 8:27 a.m.