Triple

T35793415
Position Surface form Disambiguated ID Type / Status
Subject von Bleibruck E1034755 entity
Predicate typicalCountryOrCulture P26995 FINISHED
Object German-speaking Central Europe 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: German-speaking Central Europe | Statement: [von Bleibruck, typicalCountryOrCulture, German-speaking Central Europe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalCountryOrCulture
Context triple: [von Bleibruck, typicalCountryOrCulture, German-speaking Central Europe]
  • A. countryOfCult
    Indicates that a particular cult, religious group, or worship practice is associated with, originates from, or is primarily practiced in a specific country.
  • B. countryInTradition
    Indicates that a country participates in, is associated with, or belongs to a particular cultural, historical, or religious tradition.
  • C. countryOfCulturalSignificance chosen
    Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
  • D. popularCultureTrait
    Indicates that an entity exhibits a characteristic, behavior, or element that is commonly recognized or influential within popular culture.
  • E. culturalType
    Indicates the classification of something according to its cultural category, style, or tradition.
  • 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_69f76e1575908190aaa306d843b41c14 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037ce70f54819082946dad8d380825 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a069e6c8190857b611fffb7b867 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:06 p.m.