Triple

T2015151
Position Surface form Disambiguated ID Type / Status
Subject Regions of Belgium E43777 entity
Predicate levelOfAutonomy P5082 FINISHED
Object high 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: high | Statement: [Regions of Belgium, levelOfAutonomy, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: levelOfAutonomy
Context triple: [Regions of Belgium, levelOfAutonomy, high]
  • A. autonomyStatus chosen
    Indicates the degree to which an entity operates independently or with self-governed control, without external direction or intervention.
  • B. hasAutonomyWithin
    Indicates that one entity possesses independent decision-making power or self-governance within the scope, domain, or boundaries defined by another entity.
  • C. hasLimitedAutonomyIn
    Indicates that an entity operates or makes decisions within a domain where its freedom of action is constrained or controlled by another entity or governing context.
  • D. autonomousFor
    Indicates that one entity operates or makes decisions independently on behalf of, or in place of, another specified context, system, or agent.
  • E. automationLevel
    Indicates the degree to which a process, task, or system is performed automatically rather than manually.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b610a88190bc10fd7dda19da08 completed March 7, 2026, 5:33 a.m.
PD Predicate disambiguation batch_69abb7a03a1c81909ad50d56667db2d5 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:37 p.m.