Triple

T26758201
Position Surface form Disambiguated ID Type / Status
Subject Exilliteratur E674724 entity
Predicate hatCharakteristikum P662 FINISHED
Object Auseinandersetzung mit Nationalsozialismus 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: Auseinandersetzung mit Nationalsozialismus | Statement: [Exilliteratur, hatCharakteristikum, Auseinandersetzung mit Nationalsozialismus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hatCharakteristikum
Context triple: [Exilliteratur, hatCharakteristikum, Auseinandersetzung mit Nationalsozialismus]
  • A. hatCharakter
    Indicates that an entity possesses or exhibits a particular character, trait, or quality.
  • B. characterizedBy chosen
    Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
  • C. spanCharacteristic
    Indicates that one entity has a particular measurable or descriptive property that characterizes the extent, duration, or range of another entity or phenomenon.
  • D. tailCharacteristic
    Indicates that an entity possesses a particular property, feature, or quality specifically related to its tail.
  • E. entityCharacteristic
    Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
  • 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_69eecda6e9dc81908452fab3ba17ed9b completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f621fcea1481909b6f8b3af1ee6820 completed May 2, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69f620debeb48190b7db395fb86cf8d9 completed May 2, 2026, 4:05 p.m.
Created at: April 27, 2026, 3:56 a.m.