Triple

T9993351
Position Surface form Disambiguated ID Type / Status
Subject Italian Brazilians E196940 entity
Predicate influencedBrazilianIdentityAspect P44120 FINISHED
Object concept of "paulistano" identity 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: concept of "paulistano" identity | Statement: [Italian Brazilians, influencedBrazilianIdentityAspect, concept of "paulistano" identity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: influencedBrazilianIdentityAspect
Context triple: [Italian Brazilians, influencedBrazilianIdentityAspect, concept of "paulistano" identity]
  • A. ethnicAspect
    Indicates a relationship where one entity reflects, involves, or characterizes the ethnic background, identity, or attributes of another entity.
  • B. racialIdentity
    Indicates the relationship between an entity and the racial group or classification with which it is identified or categorized.
  • C. hasEthnicInfluence chosen
    Indicates that one entity has a cultural, traditional, or ethnic impact on, or contributes to shaping the ethnic character of, another entity.
  • D. hasStrongCulturalIdentity
    Indicates that an entity possesses a well-defined, deeply rooted, and strongly maintained sense of belonging to a particular culture or cultural tradition.
  • E. languageOfInfluence
    Indicates a relationship where one language has influenced the development, usage, or characteristics of another language.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb96c7308190902802ef5df764c1 completed April 2, 2026, 1:51 a.m.
PD Predicate disambiguation batch_69cd1da07db88190945bcdab3ca82e71 completed April 1, 2026, 1:29 p.m.
Created at: March 30, 2026, 8:50 p.m.