Triple

T8970742
Position Surface form Disambiguated ID Type / Status
Subject Deputy Prime Minister of Hungary E214258 entity
Predicate hasScopeOfWork P22281 FINISHED
Object coordination of government policy 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: coordination of government policy | Statement: [Deputy Prime Minister of Hungary, hasScopeOfWork, coordination of government policy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScopeOfWork
Context triple: [Deputy Prime Minister of Hungary, hasScopeOfWork, coordination of government policy]
  • A. workScope chosen
    Indicates the defined range, extent, and boundaries of tasks or responsibilities involved in a particular work activity or project.
  • B. hasWorkOn
    Indicates that one entity is associated with, contributes to, or performs work on another entity (such as a project, task, or artifact).
  • C. hasWorkField
    Indicates that an entity is associated with or operates within a particular field or area of work.
  • D. hasScope
    Indicates that one entity defines, limits, or encompasses the range, extent, or applicability within which another entity operates or is valid.
  • E. hasWorkAsSubject
    Indicates that an entity serves as the subject (creator or originator) of a particular work or creative output.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67672c108190919ae6ca69b6291f completed April 1, 2026, 12:31 a.m.
PD Predicate disambiguation batch_69cc5ed9a2d48190ad11381078e823b7 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:02 p.m.