Triple

T2592544
Position Surface form Disambiguated ID Type / Status
Subject Obeah E58153 entity
Predicate hasThemeIn P6142 FINISHED
Object Caribbean literature 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: Caribbean literature | Statement: [Obeah, hasThemeIn, Caribbean literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasThemeIn
Context triple: [Obeah, hasThemeIn, Caribbean literature]
  • A. hasThemeConnection
    Indicates a relationship where one entity is linked to another through a shared or related theme, topic, or conceptual focus.
  • B. hasPersonalThemes
    Indicates that something (such as a work, message, or expression) involves themes that are personal, intimate, or directly related to an individual’s own experiences or inner life.
  • C. hasCentralTheme
    Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
  • D. containsThemeArea chosen
    Indicates that one entity includes or encompasses a specific thematic area as part of its scope or content.
  • E. themeFor
    Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd425851c819088db89713c07056f completed March 7, 2026, 7:30 a.m.
PD Predicate disambiguation batch_69abd0d344988190a18dd93b13e002e6 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:49 p.m.