Triple

T12429584
Position Surface form Disambiguated ID Type / Status
Subject Christian Ernst von Morgenstern E296990 entity
Predicate possibleCulturalSphere P14191 FINISHED
Object Central European 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: Central European | Statement: [Christian Ernst von Morgenstern, possibleCulturalSphere, Central European]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: possibleCulturalSphere
Context triple: [Christian Ernst von Morgenstern, possibleCulturalSphere, Central European]
  • A. culturalSphere chosen
    Indicates that one entity belongs to, is influenced by, or participates in the cultural domain, tradition, or milieu defined by another entity.
  • B. culturalRegion
    Indicates that an entity is located in, associated with, or belongs to a specific cultural region or cultural area.
  • C. hasCulturalScope
    Indicates that a relationship or action is limited to, relevant within, or characterized by a particular cultural context or domain.
  • D. countryOfCult
    Indicates that a particular cult, religious group, or worship practice is associated with, originates from, or is primarily practiced in a specific country.
  • E. countryOfCulturalSignificance
    Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94df948308190ace333230a4a3b38 completed April 10, 2026, 7:22 p.m.
PD Predicate disambiguation batch_69d94d391c548190996a8c698357f273 completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:55 p.m.