Triple

T4586477
Position Surface form Disambiguated ID Type / Status
Subject Volksunie E101978 entity
Predicate positionOnStateReform P16872 FINISHED
Object supported transformation of Belgium into a federal state 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: supported transformation of Belgium into a federal state | Statement: [Volksunie, positionOnStateReform, supported transformation of Belgium into a federal state]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionOnStateReform
Context triple: [Volksunie, positionOnStateReform, supported transformation of Belgium into a federal state]
  • A. positionOnReform chosen
    Indicates a stance or viewpoint that an entity holds regarding a particular reform or set of reforms.
  • B. positionInState
    Indicates that one entity occupies or holds a specific position, role, or status within a particular state or condition of another entity.
  • C. positionChange
    Indicates a change in an entity’s spatial or positional state from one location or configuration to another.
  • D. subjectToReformBy
    Indicates that an entity is undergoing or designated for changes, improvements, or restructuring carried out by another entity.
  • E. positionOn
    Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5906a43c81908fb11bf8f94be122 completed March 20, 2026, 2:26 p.m.
PD Predicate disambiguation batch_69bd522acbcc8190bf24d9517793a2c1 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:10 p.m.