Triple

T17637594
Position Surface form Disambiguated ID Type / Status
Subject Duchy of Sulzbach E430136 entity
Predicate hadCulturalActivity P120283 FINISHED
Object court culture 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: court culture | Statement: [Duchy of Sulzbach, hadCulturalActivity, court culture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadCulturalActivity
Context triple: [Duchy of Sulzbach, hadCulturalActivity, court culture]
  • A. associatedWithCulturalActivity chosen
    Indicates that an entity has a connection or involvement with a cultural activity, such as participation, support, organization, or representation.
  • B. hasCulturalEvent
    Indicates that a cultural event (such as a festival, performance, or exhibition) takes place in, is associated with, or is hosted by a given entity.
  • C. hasCulturalProgram
    Indicates that an entity offers or participates in an organized set of cultural activities, events, or initiatives.
  • D. hasCulturalProject
    Indicates that an entity is associated with, responsible for, or involved in a cultural project or initiative.
  • E. hasCulturalAttractions
    Indicates that a place or entity possesses notable cultural points of interest, such as museums, theaters, historic sites, or artistic venues.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de1e0888190a3c8bbd451aed2fb completed April 19, 2026, 5:53 a.m.
PD Predicate disambiguation batch_69e3cddc87188190ac2f049b86038676 completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 5:52 a.m.