Triple

T29478276
Position Surface form Disambiguated ID Type / Status
Subject States of Flanders E747709 entity
Predicate grantedConsentFor P171316 FINISHED
Object extraordinary taxation in Flanders 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: extraordinary taxation in Flanders | Statement: [States of Flanders, grantedConsentFor, extraordinary taxation in Flanders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grantedConsentFor
Context triple: [States of Flanders, grantedConsentFor, extraordinary taxation in Flanders]
  • A. hasGivenConsentFor chosen
    Indicates that one entity has granted permission or approval for a specific action, process, or use involving another entity or resource.
  • B. grantedIn
    Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
  • C. grantedTo
    Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
  • D. grantedBy
    Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
  • E. grantedWith
    Indicates that one entity is given, conferred, or endowed together with another entity as part of the same granting event or condition.
  • 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_69f0bd42cf308190bb01b20bc5b7c2d0 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f6aaf50be08190a2b62a6d881f8aee completed May 3, 2026, 1:55 a.m.
PD Predicate disambiguation batch_69f6aa1c555081908787dbf76147f180 completed May 3, 2026, 1:51 a.m.
Created at: April 28, 2026, 4:02 p.m.