Triple

T35292292
Position Surface form Disambiguated ID Type / Status
Subject Helena Rozhenko E1019259 entity
Predicate fosteredCulture P14191 FINISHED
Object Human 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: Human culture | Statement: [Helena Rozhenko, fosteredCulture, Human culture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fosteredCulture
Context triple: [Helena Rozhenko, fosteredCulture, Human culture]
  • A. developedByCulture
    Indicates that something (such as a practice, artifact, or idea) has been created, shaped, or brought into being through the influence or processes of a particular culture.
  • B. culturalFoundationFor
    Indicates that one entity provides the cultural basis, background, or supporting context that underlies or enables another entity.
  • C. culturalCategory
    Indicates that one entity classifies or groups another entity according to a particular culture, tradition, or culturally defined type.
  • D. culturalSphere chosen
    Indicates that one entity belongs to, is influenced by, or participates in the cultural domain, tradition, or milieu defined by another entity.
  • E. culturalEmphasis
    Indicates that a culture, group, or context places particular importance or priority on a specific value, practice, or domain.
  • 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_69f76de7eedc8190a3bdc64ebbc05b42 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f79014fb808190888700c2a4887905 completed May 3, 2026, 6:12 p.m.
PD Predicate disambiguation batch_69f78e2f52e08190a77661223a96c601 completed May 3, 2026, 6:04 p.m.
Created at: May 3, 2026, 4:03 p.m.