Triple

T1699175
Position Surface form Disambiguated ID Type / Status
Subject Bavarian police E36728 entity
Predicate operatedInPoliticalContext P24043 FINISHED
Object monarchy of Bavaria 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: monarchy of Bavaria | Statement: [Bavarian police, operatedInPoliticalContext, monarchy of Bavaria]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatedInPoliticalContext
Context triple: [Bavarian police, operatedInPoliticalContext, monarchy of Bavaria]
  • A. involvedPoliticalContext chosen
    Indicates that an entity participated in, was affected by, or is otherwise connected to a particular political situation, environment, or set of political circumstances.
  • B. operatedInPoliticalEntity
    Indicates that an organization or individual conducted activities or exercised functions within the jurisdiction or territory of a specific political entity.
  • C. hasPoliticalSignificanceFor
    Indicates that something holds importance, influence, or consequence within the political context or interests of a particular entity.
  • D. hasPoliticalCharacteristic
    Indicates that an entity possesses a specific political attribute, quality, or affiliation.
  • E. politicalRepercussion
    Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf169da888190b3aa334752f1952b completed March 6, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69aa61b8ce348190b46154af0b041ff0 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.