Triple

T1057673
Position Surface form Disambiguated ID Type / Status
Subject Kongen i statsråd E22832 entity
Predicate documentTypeUsed P24327 FINISHED
Object royal resolution 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: royal resolution | Statement: [Kongen i statsråd, documentTypeUsed, royal resolution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: documentTypeUsed
Context triple: [Kongen i statsråd, documentTypeUsed, royal resolution]
  • A. documentationType
    Indicates the specific category or kind of documentation associated with or required for an entity or process.
  • B. documentTypeIncluded
    Indicates that a particular document type is contained within, or is part of, a specified set or collection of document types.
  • C. documentTypeProduced
    Indicates that one entity produces, generates, or creates a document of a specified type.
  • D. usedDocument
    Indicates that one entity has employed, referenced, or otherwise made use of a particular document in performing an action or fulfilling a purpose.
  • E. draftType
    Indicates the specific category or kind of draft associated with an entity or document (e.g., initial, revised, or final draft).
  • F. None of above. chosen

Provenance (4 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4ba6e35ac8190802341c31bda0e3b completed March 1, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69a4b7340a048190807363f19d17a58f completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4ba6d44c08190bf0ab28661ed8ca0 completed March 1, 2026, 10:15 p.m.
Created at: March 1, 2026, 7:42 p.m.