Triple

T29541956
Position Surface form Disambiguated ID Type / Status
Subject Yartsevsky District E749524 entity
Predicate municipalFormationType P10835 FINISHED
Object municipal district 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: municipal district | Statement: [Yartsevsky District, municipalFormationType, municipal district]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalFormationType
Context triple: [Yartsevsky District, municipalFormationType, municipal district]
  • A. isMunicipalFormationOf
    Indicates that one administrative unit is formally established and recognized as the municipal formation corresponding to another territorial or administrative entity.
  • B. isPartOfMunicipalityType
    Indicates that one administrative unit or area belongs to, or is classified under, a specific type or category of municipality.
  • C. hasMunicipalityType chosen
    Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
  • D. municipalWardType
    Indicates the specific category or classification of a municipal ward within a local government or administrative structure.
  • E. hasCityGovernmentType
    Indicates the specific form or structure of municipal governance that administers a city.
  • 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_69f0bd48691081908cecad39bac591e0 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f6b2a65c7c8190ac40f1466ceadefc completed May 3, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f6b14d7d508190bc7d4c89dfba4a32 completed May 3, 2026, 2:22 a.m.
Created at: April 28, 2026, 5:03 p.m.