Triple

T19809449
Position Surface form Disambiguated ID Type / Status
Subject Providencia district E475902 entity
Predicate hasHighHumanDevelopment P137399 FINISHED
Object true 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: true | Statement: [Providencia district, hasHighHumanDevelopment, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHighHumanDevelopment
Context triple: [Providencia district, hasHighHumanDevelopment, true]
  • A. humanDevelopmentIndexCategory
    Indicates the classification of an entity into a specific Human Development Index (HDI) level or category based on its overall human development score.
  • B. humanDevelopmentIndexRank
    Indicates the relative position of an entity in an ordered list based on its Human Development Index value compared to others.
  • C. hasEconomicDevelopment
    Indicates that one entity possesses, experiences, or is characterized by a certain level or type of economic growth, progress, or improvement in its economic conditions.
  • D. isLessDevelopedThan
    Indicates that one entity has a lower level of development, progress, or advancement compared to another entity.
  • E. hasHighGDPShareOf
    Indicates that a specified portion or sector accounts for a large percentage of an entity’s total Gross Domestic Product (GDP).
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6542ac1b48190a0cb69dbceca74da completed April 20, 2026, 4:28 p.m.
PD Predicate disambiguation batch_69e5305858108190bbbfdb9ba3ab9f80 completed April 19, 2026, 7:43 p.m.
PDg Predicate description generation batch_69e532bcf41c8190b685b5adf46a60fc completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 1:50 p.m.