Triple

T421774
Position Surface form Disambiguated ID Type / Status
Subject Iceland E8117 entity
Predicate humanDevelopmentIndex P9831 FINISHED
Object very 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: very high | Statement: [Iceland, humanDevelopmentIndex, very high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: humanDevelopmentIndex
Context triple: [Iceland, humanDevelopmentIndex, very high]
  • A. humanDevelopmentIndexRank
    Indicates the relative position of an entity in an ordered list based on its Human Development Index value compared to others.
  • B. humanDevelopmentIndexCategory chosen
    Indicates the classification of an entity into a specific Human Development Index (HDI) level or category based on its overall human development score.
  • C. GDPPerCapitaRanking
    Indicates the relative position of an entity in an ordered list based on its gross domestic product (GDP) per person.
  • D. populationDensity
    Indicates the number of individuals or entities occupying a unit area within a given region.
  • E. WorldBankMember
    Indicates that an entity is a member country or organization formally belonging to the World Bank.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eec0e9dc81908c08b209ce5278ef completed Feb. 28, 2026, 1:33 p.m.
PD Predicate disambiguation batch_69a2edd5439c8190aea661b8b4aa51e9 completed Feb. 28, 2026, 1:29 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.