Triple

T2357503
Position Surface form Disambiguated ID Type / Status
Subject Landtag of Württemberg E47589 entity
Predicate oversightMethod P15245 FINISHED
Object interpellations to ministers 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: interpellations to ministers | Statement: [Landtag of Württemberg, oversightMethod, interpellations to ministers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oversightMethod
Context triple: [Landtag of Württemberg, oversightMethod, interpellations to ministers]
  • A. oversightFocus
    Indicates that one entity’s oversight, supervision, or monitoring activities are specifically directed toward another entity or aspect.
  • B. oversightScope
    Indicates the range or extent of responsibilities and activities that fall under an entity’s oversight or supervisory authority.
  • C. oversightTools chosen
    Indicates that certain tools or mechanisms are used to monitor, review, or supervise the actions or performance of an entity.
  • D. oversee
    Indicates having responsibility for supervising, directing, or managing the actions or work of another entity.
  • E. scrutinyMethods
    Indicates the methods or procedures used to examine, inspect, or critically evaluate something.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc71f767481908dfa9be209ea3c5a completed March 7, 2026, 6:35 a.m.
PD Predicate disambiguation batch_69abc599b92c819093d9e15d4437705d completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:54 p.m.