Triple

T27957419
Position Surface form Disambiguated ID Type / Status
Subject Landesminister E703588 entity
Predicate istObersteDienstbehördeFür P163570 FINISHED
Object Bedienstete des Ressorts 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: Bedienstete des Ressorts | Statement: [Landesminister, istObersteDienstbehördeFür, Bedienstete des Ressorts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: istObersteDienstbehördeFür
Context triple: [Landesminister, istObersteDienstbehördeFür, Bedienstete des Ressorts]
  • A. governingOffice
    Indicates the official position or office through which an entity exercises governing authority over a jurisdiction or organization.
  • B. servesAsMunicipalAuthorityFor
    Indicates that an entity functions as the official municipal governing or administrative authority for a specified locality or jurisdiction.
  • C. lawEnforcementOrganization
    Indicates that the subject is an organization whose primary role is to enforce laws and maintain public order.
  • D. policeBureau
    Indicates that an entity functions as or is associated with a police bureau or police department.
  • E. enforcementAgency
    Indicates that one entity serves as the authority responsible for enforcing laws, rules, or regulations related to another entity.
  • 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_69ef840c8b2c8190946ae9522774ba51 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f63b00473c8190b718fe3d0a717e32 completed May 2, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69f63710d17c819084cfe96e6df334fd completed May 2, 2026, 5:40 p.m.
PDg Predicate description generation batch_69f63893cc188190883ac9321a95d2dc completed May 2, 2026, 5:46 p.m.
Created at: April 27, 2026, 7:29 p.m.