Triple

T27967617
Position Surface form Disambiguated ID Type / Status
Subject Umweltministerium E704766 entity
Predicate Zuständigkeitsbereich P49097 FINISHED
Object nationales Umweltrecht 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: nationales Umweltrecht | Statement: [Umweltministerium, Zuständigkeitsbereich, nationales Umweltrecht]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: Zuständigkeitsbereich
Context triple: [Umweltministerium, Zuständigkeitsbereich, nationales Umweltrecht]
  • A. areaOfAuthority chosen
    Indicates the domain, region, or scope within which an entity has official power, control, or responsibility.
  • B. territorialResponsibility
    Indicates that an entity holds authority or obligation over managing, protecting, or governing a specific geographic area or territory.
  • C. scopeOfDuty
    Indicates the range or extent of responsibilities, tasks, or obligations that an entity is expected or authorized to perform.
  • D. definedJurisdictionOf
    Indicates that one entity formally establishes or specifies the scope, boundaries, or authority of another entity’s jurisdiction.
  • E. affectedJurisdictionOver
    Indicates that one entity’s authority, control, or legal power extends over and impacts the jurisdiction 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_69ef841061e48190b5570f9562f7434d completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f64dbbaefc8190952b8320bf4397d8 completed May 2, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69f64cacd2c08190aed8a1761d0da679 completed May 2, 2026, 7:12 p.m.
Created at: April 27, 2026, 7:36 p.m.