Triple

T31424217
Position Surface form Disambiguated ID Type / Status
Subject Sweden and Denmark E801614 entity
Predicate sharesEconomicClassification P3066 FINISHED
Object high-income economies 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-income economies | Statement: [Sweden and Denmark, sharesEconomicClassification, high-income economies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesEconomicClassification
Context triple: [Sweden and Denmark, sharesEconomicClassification, high-income economies]
  • A. economicClassification chosen
    Indicates how an entity is categorized based on its economic characteristics, status, or role within an economic system.
  • B. sectoralClassification
    Indicates how an entity is categorized into a specific economic or industry sector within a classification scheme.
  • C. economicSectorSourceOfWealth
    Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
  • D. economicSectors
    Indicates a relationship that associates entities with the economic sectors or industries in which they operate or to which they belong.
  • E. economicExtensionOf
    Indicates that one entity’s economy is heavily dependent on, controlled by, or functions as an outgrowth of another entity’s economic system.
  • 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_69f348c26f048190b4adadd71b4596c5 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fefb15220081908da36aac386fa582 completed May 9, 2026, 9:15 a.m.
PD Predicate disambiguation batch_69fefa8e8ad48190a723fed81e9d64d0 completed May 9, 2026, 9:12 a.m.
Created at: April 30, 2026, 8:51 p.m.