Triple

T6247974
Position Surface form Disambiguated ID Type / Status
Subject Agreste Sergipano E139768 entity
Predicate hasRuralCharacteristics P2460 FINISHED
Object predominantly rural population 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: predominantly rural population | Statement: [Agreste Sergipano, hasRuralCharacteristics, predominantly rural population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRuralCharacteristics
Context triple: [Agreste Sergipano, hasRuralCharacteristics, predominantly rural population]
  • A. hasRuralArea
    Indicates that an entity includes, is associated with, or contains a countryside or sparsely populated geographic area.
  • B. isRural chosen
    Indicates that something is located in, characteristic of, or associated with a countryside or non-urban area.
  • C. hasRuralLocality
    Indicates that an entity possesses, includes, or is associated with a rural locality (such as a village, hamlet, or countryside settlement) within its scope or jurisdiction.
  • D. hasRuralHinterland
    Indicates that a place or urban area is associated with and served by a surrounding rural region that supports it economically, socially, or functionally.
  • E. hasAgriculturalCharacter
    Indicates that something possesses qualities, features, or uses typical of agriculture or farming activities.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0633a9a048190856d5247d3b28a2e completed March 22, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69c056037bf88190a0a3fe7429345d0b completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:23 p.m.