Triple

T37786064
Position Surface form Disambiguated ID Type / Status
Subject Krtanisi district of Tbilisi E941957 entity
Predicate subjectToMunicipalRegulation P34837 FINISHED
Object Tbilisi municipal regulations 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: Tbilisi municipal regulations | Statement: [Krtanisi district of Tbilisi, subjectToMunicipalRegulation, Tbilisi municipal regulations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectToMunicipalRegulation
Context triple: [Krtanisi district of Tbilisi, subjectToMunicipalRegulation, Tbilisi municipal regulations]
  • A. subjectToRegulation chosen
    Indicates that an entity is governed, constrained, or controlled by a specific rule, law, or regulatory framework.
  • B. municipalityAgreementRequired
    Indicates that a formal agreement or approval from the relevant municipality is required for the associated action or relationship to proceed.
  • C. hasLocalOrdinances
    Indicates that a governing body or jurisdiction has established and enacted specific local ordinances or regulations.
  • D. cityRegulationImpact
    Indicates how a specific city regulation affects or influences certain activities, entities, or conditions.
  • E. regulatedIn
    Indicates that one entity’s activity, expression, or occurrence is controlled, influenced, or modulated by another entity within a specific context or system.
  • 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_69f76ee5cb0c81909a363d1c929156c0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fde9fc184c8190bebef35df0e76076 completed May 8, 2026, 1:49 p.m.
PD Predicate disambiguation batch_69fde6e5beb4819094945a695e961d88 completed May 8, 2026, 1:36 p.m.
Created at: May 3, 2026, 4:19 p.m.