Triple

T9190662
Position Surface form Disambiguated ID Type / Status
Subject Rozogi E220579 entity
Predicate gminaType P86731 FINISHED
Object rural gmina 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 gmina | Statement: [Rozogi, gminaType, rural gmina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gminaType
Context triple: [Rozogi, gminaType, rural gmina]
  • A. hasGmina
    Indicates that an entity is administratively associated with, or belongs to, a specific gmina (a basic local government unit/municipality).
  • B. hasGminaStatus
    Indicates that an administrative unit holds the official legal status of a gmina (municipality/commune) within a country’s territorial division.
  • C. hasUrbanRuralGmina
    Indicates that an entity is associated with a specific urban-rural gmina (a mixed urban and rural municipal administrative unit).
  • D. hasUrbanGmina
    Indicates that an entity is associated with, or contains, an urban gmina (a type of urban municipality or commune).
  • E. hasUrbanRuralGminas
    Indicates that an administrative unit (such as a county or region) includes one or more gminas that are classified as mixed urban-rural municipalities.
  • 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_69ca83e7ba70819088b74866d9da2c30 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.
PDg Predicate description generation batch_69cc66d7bf648190b8bff5b584b84975 completed April 1, 2026, 12:29 a.m.
Created at: March 30, 2026, 7:24 p.m.