Triple

T6017388
Position Surface form Disambiguated ID Type / Status
Subject Końskie County E133980 entity
Predicate hasUrbanRuralGminas P68789 FINISHED
Object true 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: true | Statement: [Końskie County, hasUrbanRuralGminas, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanRuralGminas
Context triple: [Końskie County, hasUrbanRuralGminas, true]
  • A. hasUrbanRuralGmina
    Indicates that an entity is associated with a specific urban-rural gmina (a mixed urban and rural municipal administrative unit).
  • B. hasUrbanGmina
    Indicates that an entity is associated with, or contains, an urban gmina (a type of urban municipality or commune).
  • C. hasNumberOfRuralGminas
    Indicates the total count of rural gminas (rural administrative districts) associated with a given territorial unit or entity.
  • D. hasUrbanGminaStatus
    Indicates that an administrative unit holds the legal status of an urban gmina (urban municipality).
  • E. hasRuralGmina
    Indicates that an entity (typically an administrative unit) includes or is associated with a specific rural gmina as part of its jurisdiction or structure.
  • F. None of above. chosen

Provenance (4 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f8458588190a78aa32cbdbecfb1 completed March 22, 2026, 8:22 p.m.
PD Predicate disambiguation batch_69c049e75b3881908be106fbcf8c68d4 completed March 22, 2026, 7:58 p.m.
PDg Predicate description generation batch_69c04e8c5bfc8190b986a7071d1b23e3 completed March 22, 2026, 8:18 p.m.
Created at: March 22, 2026, 4:07 p.m.