Triple

T323236
Position Surface form Disambiguated ID Type / Status
Subject Government of Moscow E6459 entity
Predicate appliesPolicy P1051 FINISHED
Object urban development policy of Moscow 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: urban development policy of Moscow | Statement: [Government of Moscow, appliesPolicy, urban development policy of Moscow]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesPolicy
Context triple: [Government of Moscow, appliesPolicy, urban development policy of Moscow]
  • A. implementedPolicy
    Indicates that a particular policy has been put into effect or carried out by an entity.
  • B. supportsPolicy
    Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
  • C. admissionPolicy
    Indicates the rules or criteria governing whether and how entities are allowed to be admitted or granted access.
  • D. policyTool
    Indicates that an entity is a tool, mechanism, or instrument used to design, implement, or enforce a policy.
  • E. governingPolicy chosen
    Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea82ba748190bae651f5de908617 completed Feb. 28, 2026, 1:15 p.m.
PD Predicate disambiguation batch_69a2e948048c819098ba4de9261ef2ef completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.