Triple

T19944232
Position Surface form Disambiguated ID Type / Status
Subject North Korean economy E479380 entity
Predicate foreignInvestmentLevel P137947 FINISHED
Object very low 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: very low | Statement: [North Korean economy, foreignInvestmentLevel, very low]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: foreignInvestmentLevel
Context triple: [North Korean economy, foreignInvestmentLevel, very low]
  • A. accessMechanismForForeignInvestors
    Indicates the method or channel through which foreign investors are allowed to access or participate in a given market, asset, or investment opportunity.
  • B. economicIntegrationLevel
    Indicates the degree to which two or more entities’ economies are interconnected and coordinated through shared markets, policies, or institutions.
  • C. investmentGeography
    Indicates the geographic region or location where an investment is targeted, managed, or primarily focused.
  • D. foreignInfluence
    Indicates that one entity exerts influence, control, or significant impact on another entity from a different country or external origin.
  • E. investmentScope
    Indicates the range or boundaries of activities, assets, or sectors that an investment is intended or allowed to cover.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a64b2788190a49c4ed40aa93b98 completed April 20, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69e537f47c508190853c4e009c6b5566 completed April 19, 2026, 8:15 p.m.
PDg Predicate description generation batch_69e543c42c688190a22f4d31ec692377 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 1:54 p.m.