Triple

T12871392
Position Surface form Disambiguated ID Type / Status
Subject Northern Algeria E307856 entity
Predicate populationDistributionRole P23004 FINISHED
Object most densely populated part of Algeria 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: most densely populated part of Algeria | Statement: [Northern Algeria, populationDistributionRole, most densely populated part of Algeria]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationDistributionRole
Context triple: [Northern Algeria, populationDistributionRole, most densely populated part of Algeria]
  • A. populationRole
    Indicates the role or function that an entity has within a population or demographic context.
  • B. populationPattern
    Indicates how a population is distributed, structured, or changes over space or time in relation to other entities or conditions.
  • C. populationClass
    Indicates a categorical classification of a population based on shared characteristics, status, or demographic criteria.
  • D. populationFocus
    Indicates that something is primarily directed toward, concerned with, or designed for a particular population or demographic group.
  • E. populationConcentration chosen
    Indicates the degree to which a population is densely gathered or distributed within a specific area or region.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97c7f91d08190aac2f6419d3ba992 completed April 10, 2026, 10:41 p.m.
PD Predicate disambiguation batch_69d96fa55b888190ab1612e93c41aec4 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:38 p.m.