Triple

T220504
Position Surface form Disambiguated ID Type / Status
Subject West African languages E4201 entity
Predicate influencedAspect P9 FINISHED
Object vocabulary of Atlantic and Caribbean creoles 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: vocabulary of Atlantic and Caribbean creoles | Statement: [West African languages, influencedAspect, vocabulary of Atlantic and Caribbean creoles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: influencedAspect
Context triple: [West African languages, influencedAspect, vocabulary of Atlantic and Caribbean creoles]
  • A. influenced chosen
    Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
  • B. influencedWork
    Indicates that one work has had a significant impact on the creation, style, content, or development of another work.
  • C. hasCulturalImpact
    Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
  • D. hasHistoricalWritingInfluenceFrom
    Indicates that one entity’s historical writing style, content, or traditions are influenced by those of another entity.
  • E. standardizationInfluence
    Indicates the extent to which one entity’s standards, norms, or standardization efforts shape, guide, or constrain another entity’s practices, processes, or specifications.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25efd0df48190b8fef4c422a1265f completed Feb. 28, 2026, 3:20 a.m.
PD Predicate disambiguation batch_69a25b54d790819093b35bd1a6f00f92 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.