Triple

T32811029
Position Surface form Disambiguated ID Type / Status
Subject Zyuzino District E839152 entity
Predicate belongsToMunicipalFormation P33889 FINISHED
Object city of Moscow NE NERFINISHED

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: city of Moscow | Statement: [Zyuzino District, belongsToMunicipalFormation, city of Moscow]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToMunicipalFormation
Context triple: [Zyuzino District, belongsToMunicipalFormation, city of Moscow]
  • A. hasMunicipalRelationshipWith
    Indicates a formal or functional connection between two municipalities, such as cooperation, partnership, or administrative association.
  • B. hasMunicipalFormation chosen
    Indicates that an administrative or territorial unit is organized into, or associated with, a specific municipal formation as its local self-governing structure.
  • C. formedMunicipalityWith
    Indicates that two or more entities combined or were merged to create a single municipality.
  • D. isMunicipalFormationOf
    Indicates that one administrative unit is formally established and recognized as the municipal formation corresponding to another territorial or administrative entity.
  • E. locatedInMunicipalAssociation
    Indicates that an entity (typically a municipality or locality) is situated within and belongs administratively to a specific municipal association.
  • 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_69f3493d35208190b4351b4e85f2fa16 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fee691952c8190822da83e46311d1d completed May 9, 2026, 7:47 a.m.
PD Predicate disambiguation batch_69fee62f285c8190a625562a9b80526e completed May 9, 2026, 7:45 a.m.
Created at: May 1, 2026, 1:15 a.m.