Triple

T18793580
Position Surface form Disambiguated ID Type / Status
Subject Likud E459576 entity
Predicate governingFocus P1876 FINISHED
Object security and economic liberalization 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: security and economic liberalization | Statement: [Likud, governingFocus, security and economic liberalization]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governingFocus
Context triple: [Likud, governingFocus, security and economic liberalization]
  • A. governedTopic
    Indicates that a governing entity exercises authority, control, or regulatory oversight over a particular topic, issue, or domain.
  • B. 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.
  • C. governmentalCore
    Indicates that something serves as a central, essential, or foundational part of a government or governmental system.
  • D. governmentalFunction
    Indicates that an entity performs, embodies, or is responsible for an official role, duty, or activity of a government.
  • E. governs
    Indicates that one entity exercises authoritative control, direction, or rule over another entity or domain.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a01cc0c0819098ef4326e82ff524 completed April 20, 2026, 3:40 a.m.
PD Predicate disambiguation batch_69e48d16dd34819096e096d0c0e4c15c completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:53 a.m.