Triple

T1800204
Position Surface form Disambiguated ID Type / Status
Subject Petrovichi E39699 entity
Predicate hasRuralStatus P2460 FINISHED
Object yes 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: yes | Statement: [Petrovichi, hasRuralStatus, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRuralStatus
Context triple: [Petrovichi, hasRuralStatus, yes]
  • 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. isRuralCounty
    Indicates that a given county is classified as rural rather than urban based on demographic, geographic, or administrative criteria.
  • D. isRuralServiceTown
    Indicates that a town functions primarily as a service and support center for surrounding rural or agricultural areas.
  • E. hasUrbanGminaStatus
    Indicates that an administrative unit holds the legal status of an urban gmina (urban municipality).
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aba67721788190951beae25e885457 completed March 7, 2026, 4:15 a.m.
PD Predicate disambiguation batch_69aa61d514c081908197ac1f7c7d7a88 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:32 p.m.