Triple

T13631791
Position Surface form Disambiguated ID Type / Status
Subject Trois-Îléens E325734 entity
Predicate associatedCulturalSphere P14191 FINISHED
Object Francophone Caribbean 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: Francophone Caribbean | Statement: [Trois-Îléens, associatedCulturalSphere, Francophone Caribbean]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedCulturalSphere
Context triple: [Trois-Îléens, associatedCulturalSphere, Francophone Caribbean]
  • A. culturalSphere chosen
    Indicates that one entity belongs to, is influenced by, or participates in the cultural domain, tradition, or milieu defined by another entity.
  • B. countryOfCulturalSignificance
    Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
  • C. associatedCult
    Indicates that an entity is connected or linked to a particular cult, typically through membership, affiliation, or influence.
  • D. regionOfCulturalImpact
    Indicates the geographic area where an entity’s cultural influence, activities, or effects are most significantly felt or observed.
  • E. hasAssociatedCulture
    Indicates that an entity is related to, influenced by, or characterized by a particular culture.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60635d08190899806fe8936f02a completed April 12, 2026, 4:19 p.m.
PD Predicate disambiguation batch_69dbbe85e1c4819095194f4b7f9f6118 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:51 p.m.