Triple

T8714199
Position Surface form Disambiguated ID Type / Status
Subject Petitions Committee (Landtag of Bavaria) E206853 entity
Predicate methodOfApplication P80622 FINISHED
Object written petitions 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: written petitions | Statement: [Petitions Committee (Landtag of Bavaria), methodOfApplication, written petitions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: methodOfApplication
Context triple: [Petitions Committee (Landtag of Bavaria), methodOfApplication, written petitions]
  • A. appliesVia chosen
    Indicates that an action, rule, or effect is carried out, implemented, or achieved through a specified method, medium, or mechanism.
  • B. applicatorType
    Indicates the specific kind or method of applicator used to apply a substance or product in the described relationship.
  • C. appliedAs
    Indicates that one entity submitted itself or was put forward for consideration in a particular role, position, or context relative to another entity.
  • D. appliedBy
    Indicates that an action, process, or treatment is carried out or executed by a particular agent or entity.
  • E. appliesAt
    Indicates that an action, rule, or condition is relevant to or in effect at a specific location, context, or point in time.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd6707c819092c9fca34f273d5e completed March 31, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69cc456e806c819087e7d66ee737f242 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:35 p.m.