Triple

T32523724
Position Surface form Disambiguated ID Type / Status
Subject Rat der Deutschsprachigen Gemeinschaft E831248 entity
Predicate hasDomainOfTopic P112931 FINISHED
Object regional politics of Belgium 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: regional politics of Belgium | Statement: [Rat der Deutschsprachigen Gemeinschaft, hasDomainOfTopic, regional politics of Belgium]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDomainOfTopic
Context triple: [Rat der Deutschsprachigen Gemeinschaft, hasDomainOfTopic, regional politics of Belgium]
  • A. containsDomain
    Indicates that one entity includes or encompasses a specific domain as part of its scope, structure, or area of applicability.
  • B. hasCollaborationTopic
    Indicates that two or more entities are engaged in a collaboration focused on a specified topic or subject area.
  • C. domainOfInfluence
    Indicates the scope or area over which an entity has power, control, or significant effect.
  • D. involvedDomain chosen
    Indicates that an entity participates in or is associated with a particular domain, field, or area of activity.
  • E. topicOfDiscourse
    Indicates that something serves as the subject or focus of a particular discussion, conversation, or communicative act.
  • 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_69f34923e1548190be0524205d8cdf8f completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f739a638748190808e7a2930dce16e completed May 3, 2026, 12:03 p.m.
PD Predicate disambiguation batch_69f732f2dc6c8190a4e86da98cc5eb05 completed May 3, 2026, 11:35 a.m.
Created at: May 1, 2026, 1:01 a.m.