Triple

T4533659
Position Surface form Disambiguated ID Type / Status
Subject Batkivshchyna E106354 entity
Predicate electoralProgramFocus P1876 FINISHED
Object social protection 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: social protection | Statement: [Batkivshchyna, electoralProgramFocus, social protection]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electoralProgramFocus
Context triple: [Batkivshchyna, electoralProgramFocus, social protection]
  • A. politicalProgramIncludes
    Indicates that a political program contains, encompasses, or explicitly incorporates a particular policy, measure, or component.
  • B. relatedPoliticalProgram
    Indicates that one political program is associated with, connected to, or contextually linked with another political program.
  • C. electoralPurpose
    Indicates that something is intended, designed, or used for the purposes of an election or electoral process.
  • D. policyFocus chosen
    Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
  • E. electoralSlogan
    Indicates that a phrase is used as a campaign message or motto to promote a candidate, party, or political cause in an election.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57a08ec4819091b84d53d7b564a7 completed March 20, 2026, 2:20 p.m.
PD Predicate disambiguation batch_69bd521edd00819099dfccaa65dddd61 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:04 p.m.