Triple

T219112
Position Surface form Disambiguated ID Type / Status
Subject Government of Saint Petersburg E4173 entity
Predicate governsAs P760 FINISHED
Object federal subject government 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: federal subject government | Statement: [Government of Saint Petersburg, governsAs, federal subject government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governsAs
Context triple: [Government of Saint Petersburg, governsAs, federal subject government]
  • A. governedAs
    Indicates that one entity exercises authoritative control, direction, or rule over another according to some system of governance or leadership.
  • B. governs chosen
    Indicates that one entity exercises authoritative control, direction, or rule over another entity or domain.
  • C. governedFrom
    Indicates that an entity exercises governing authority or administrative control over another entity from a specific location or seat of power.
  • D. administeredBy
    Indicates that an action, service, or process is carried out, managed, or overseen by a specified agent or authority.
  • E. governance
    Indicates the relationship in which one entity exercises authority, control, or decision-making power over the policies, actions, or direction of another entity 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c5199d8819096736c11077adec3 completed Feb. 28, 2026, 3:09 a.m.
PD Predicate disambiguation batch_69a25b5357bc8190b29a48e3053fb76d completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.