Triple

T35431799
Position Surface form Disambiguated ID Type / Status
Subject Bautzen dialect E1024079 entity
Predicate hasStatusInGermany P159392 FINISHED
Object regional minority dialect of a recognized minority language 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: regional minority dialect of a recognized minority language | Statement: [Bautzen dialect, hasStatusInGermany, regional minority dialect of a recognized minority language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStatusInGermany
Context triple: [Bautzen dialect, hasStatusInGermany, regional minority dialect of a recognized minority language]
  • A. statusInGermany chosen
    Indicates the legal or official standing, condition, or classification an entity holds within the jurisdiction of Germany.
  • B. projectStatusInGermany
    Indicates that the status or progress of a project is specifically in the context of Germany.
  • C. locatedInPartOfGermany
    Indicates that one entity is geographically situated within a specific region or part of Germany.
  • D. germanyParticipationStatus
    Indicates whether and how Germany is participating in a specified event, activity, or arrangement.
  • E. prohibitionStatusInGermany
    Indicates whether something is legally prohibited or restricted within the jurisdiction of Germany.
  • 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_69f76df743c48190aecb6dd79efb0d95 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ffef812da48190b875a7376b24f92d completed May 10, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69ffedecd580819097851b1473fdd6ed completed May 10, 2026, 2:31 a.m.
Created at: May 3, 2026, 4:03 p.m.