Triple

T5840841
Position Surface form Disambiguated ID Type / Status
Subject Norwegian municipalities association E129588 entity
Predicate governanceLevelRepresented P5180 FINISHED
Object municipal level 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: municipal level | Statement: [Norwegian municipalities association, governanceLevelRepresented, municipal level]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governanceLevelRepresented
Context triple: [Norwegian municipalities association, governanceLevelRepresented, municipal level]
  • A. governingBodyLevel chosen
    Indicates the hierarchical level or tier at which a governing body operates within a political or organizational structure.
  • B. representedLevel
    Indicates that one entity denotes or encodes the degree, intensity, or value (i.e., the level) of another entity or property.
  • C. governanceModel
    Indicates the type or structure of authority, decision-making, and control that defines how an entity is directed and overseen.
  • D. governanceArea
    Indicates the geographic or jurisdictional area over which an entity has governing authority or responsibility.
  • E. federalRepresentationLevel
    Indicates the degree or tier at which an entity is represented within a federal governmental structure 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03c9239e08190bff7ef2bd6d21ae0 completed March 22, 2026, 7:01 p.m.
PD Predicate disambiguation batch_69c0334412388190bc594794ec5754f9 completed March 22, 2026, 6:21 p.m.
Created at: March 22, 2026, 3:54 p.m.