Triple

T25462007
Position Surface form Disambiguated ID Type / Status
Subject Schleswig Wars E638071 entity
Predicate languageConflictAspect P113000 FINISHED
Object Danish-German language border in Schleswig 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: Danish-German language border in Schleswig | Statement: [Schleswig Wars, languageConflictAspect, Danish-German language border in Schleswig]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageConflictAspect
Context triple: [Schleswig Wars, languageConflictAspect, Danish-German language border in Schleswig]
  • A. languageIndependence
    Indicates that a concept, method, or representation does not depend on any specific programming or natural language and can be applied uniformly across different languages.
  • B. languageAffected
    Indicates that one entity has an impact on, modifies, or influences the characteristics, usage, or status of a language.
  • C. languageOfSurroundingCulture
    Indicates that one entity is the language predominantly used or characteristic of the surrounding culture associated with another entity.
  • D. languageFamilyConcerned
    Indicates that something is related to, involves, or pertains to a particular language family.
  • E. contrastsWithMajorityLanguage chosen
    Indicates that one language or linguistic feature is notably different from, and stands in opposition to, the dominant or majority language in a given context.
  • 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_69e75db8bab08190baca80b4a8c315fd completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f6d6a6b04c8190bee4cf9c00665ef7 completed May 3, 2026, 5:01 a.m.
PD Predicate disambiguation batch_69f6d26ceb08819091c71c001e954936 completed May 3, 2026, 4:43 a.m.
Created at: April 21, 2026, 2:12 p.m.