Triple

T9190344
Position Surface form Disambiguated ID Type / Status
Subject Płoskinia E220568 entity
Predicate hasGeographicRegionType P54124 FINISHED
Object rural 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: rural area | Statement: [Płoskinia, hasGeographicRegionType, rural area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGeographicRegionType
Context triple: [Płoskinia, hasGeographicRegionType, rural area]
  • A. geographicalRegionType chosen
    Indicates the specific kind or category of geographical region that an entity belongs to (e.g., continent, country, province, or city).
  • B. containsGeographicalArea
    Indicates that one geographical area spatially encompasses or includes another geographical area within its boundaries.
  • C. hasRegion
    Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
  • D. isRegion
    Indicates that one entity functions as a geographic or administrative region associated with another entity.
  • E. hasGeographyCharacteristic
    Indicates that an entity possesses a specific geographical feature, property, or attribute.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bf25c081909e651b67ef8ecc33 completed April 1, 2026, 8:22 a.m.
PD Predicate disambiguation batch_69cc66090e5881908889dc1213815626 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:24 p.m.