Triple

T21531309
Position Surface form Disambiguated ID Type / Status
Subject Kalends E531235 entity
Predicate influenceOnCultures P2008 FINISHED
Object later European calendrical traditions 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: later European calendrical traditions | Statement: [Kalends, influenceOnCultures, later European calendrical traditions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: influenceOnCultures
Context triple: [Kalends, influenceOnCultures, later European calendrical traditions]
  • A. hasCulturalImpact chosen
    Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
  • B. culturalInteraction
    Indicates interactions or exchanges between entities that involve cultural practices, values, expressions, or influences.
  • C. regionOfCulturalImpact
    Indicates the geographic area where an entity’s cultural influence, activities, or effects are most significantly felt or observed.
  • D. placeOfInfluence
    Indicates the location or area where an entity exerts significant impact, authority, or cultural, social, or intellectual influence.
  • E. heritageInfluence
    Indicates how one entity’s cultural, historical, or ancestral background affects or shapes another entity’s characteristics, behavior, or development.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d08ebf881909574e098404f93fa completed April 26, 2026, 11:17 p.m.
PD Predicate disambiguation batch_69e6320043bc81909417c41a718652ba completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:27 p.m.