Triple

T8848172
Position Surface form Disambiguated ID Type / Status
Subject Клушино E210561 entity
Predicate имеетТипНаселённогоПункта P14278 FINISHED
Object сельский населённый пункт 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: сельский населённый пункт | Statement: [Клушино, имеетТипНаселённогоПункта, сельский населённый пункт]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: имеетТипНаселённогоПункта
Context triple: [Клушино, имеетТипНаселённогоПункта, сельский населённый пункт]
  • A. hasMunicipalityType
    Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
  • B. humanSettlementType chosen
    Indicates the classification of a human settlement based on its form or function, such as village, town, or city.
  • C. hasTypeOfToponym
    Indicates that one entity is classified as a specific type or category of toponym (place name) in relation to another entity.
  • D. isRuralSettlement
    Indicates that a settlement is located in a rural area, typically characterized by low population density and limited urban infrastructure.
  • E. 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.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60aa6db0819097c3257499200afc completed April 1, 2026, 12:02 a.m.
PD Predicate disambiguation batch_69cc5c25b874819084c9ba391703e066 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:49 p.m.