Triple

T29265536
Position Surface form Disambiguated ID Type / Status
Subject Kréyol La Lwizyàn E741967 entity
Predicate hasInfluenceFromCulture P1439 FINISHED
Object Louisiana Creole 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: Louisiana Creole culture | Statement: [Kréyol La Lwizyàn, hasInfluenceFromCulture, Louisiana Creole culture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInfluenceFromCulture
Context triple: [Kréyol La Lwizyàn, hasInfluenceFromCulture, Louisiana Creole culture]
  • A. hasCulturalImpact
    Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
  • B. hasEthnicInfluence
    Indicates that one entity has a cultural, traditional, or ethnic impact on, or contributes to shaping the ethnic character of, another entity.
  • C. hasAssociatedCulture chosen
    Indicates that an entity is related to, influenced by, or characterized by a particular culture.
  • D. hasCulturalLegacyIn
    Indicates that an entity has left a lasting cultural influence, impact, or heritage within a particular place, community, or cultural context.
  • E. countryInfluenced
    Indicates that one country has exerted a significant political, economic, cultural, or military impact on another country.
  • 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_69f0912065c08190bddd23e20e8ef18e completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69fe7b1c506c8190869c1a22031e0571 completed May 9, 2026, 12:09 a.m.
PD Predicate disambiguation batch_69fe796b2bdc8190a86980d44008f875 completed May 9, 2026, 12:01 a.m.
Created at: April 28, 2026, 12:44 p.m.