Triple

T6785836
Position Surface form Disambiguated ID Type / Status
Subject Distrito Nacional E155799 entity
Predicate hasAreaRankInCountry P1170 FINISHED
Object smallest first-level division of the Dominican Republic by area 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: smallest first-level division of the Dominican Republic by area | Statement: [Distrito Nacional, hasAreaRankInCountry, smallest first-level division of the Dominican Republic by area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAreaRankInCountry
Context triple: [Distrito Nacional, hasAreaRankInCountry, smallest first-level division of the Dominican Republic by area]
  • A. rankInWorldByArea
    Indicates the position of an entity in a global ordering based on its total area size.
  • B. hasPopulationRankInRegion
    Indicates that an entity has a specific population-based rank or position within a defined geographic region.
  • C. areaRank chosen
    Indicates the relative ordering or position of an entity based on the size of its area compared to others.
  • D. landArea
    Indicates the total surface area of a piece of land associated with an entity, typically measured in standardized units (e.g., square meters, hectares).
  • E. hasPopulationRank
    Indicates the relative position of an entity in an ordered list based on the size of its population.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d28f043081909a9a9ab635785933 completed March 27, 2026, 6:55 p.m.
PD Predicate disambiguation batch_69c6d0979ce0819094678896da4e3169 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:14 p.m.