Triple

T1724878
Position Surface form Disambiguated ID Type / Status
Subject Communities of Belgium E37473 entity
Predicate hasDistinctGovernmentForEachMember P31220 FINISHED
Object true 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: true | Statement: [Communities of Belgium, hasDistinctGovernmentForEachMember, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDistinctGovernmentForEachMember
Context triple: [Communities of Belgium, hasDistinctGovernmentForEachMember, true]
  • A. hasConsolidatedGovernmentWith
    Indicates that two or more previously separate governmental entities have been merged into a single, unified government structure.
  • B. hasGovernmentBody
    Indicates that one entity serves as the official governing or administrative body responsible for overseeing or managing another entity.
  • C. hasMembersPerState
    Indicates a relationship that specifies how many members are associated with each state.
  • D. memberStatesOrganization
    Indicates that an organization is composed of, or includes as members, the specified states.
  • E. hasRegionalOrganizationMembershipViaConstituents
    Indicates that an entity is considered a member of a regional organization indirectly, by virtue of its constituent parts or sub-entities holding that membership.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aadb7bda1081908f2c41c520c9c55c completed March 6, 2026, 1:49 p.m.
PD Predicate disambiguation batch_69aa61c0a0288190bce9d60062a84b69 completed March 6, 2026, 5:10 a.m.
PDg Predicate description generation batch_69aadb68868c819097ec6db6194abae6 completed March 6, 2026, 1:49 p.m.
Created at: March 4, 2026, 7:30 p.m.