Triple

T32538742
Position Surface form Disambiguated ID Type / Status
Subject modern France E831658 entity
Predicate majorCulturalExports P83906 FINISHED
Object French 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: French literature | Statement: [modern France, majorCulturalExports, French literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorCulturalExports
Context triple: [modern France, majorCulturalExports, French literature]
  • A. culturalExport
    Indicates that something originating in one culture is transmitted, adopted, or influential in another culture or region.
  • B. majorExportersInclude
    Indicates that a specified set of entities is among the primary exporters of a particular good, service, or resource.
  • C. hasCulturalSignificanceFor
    Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
  • D. countryOfCulturalSignificance
    Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
  • E. culturalElements chosen
    Indicates a relationship where certain elements (such as practices, symbols, or artifacts) belong to, express, or characterize a particular culture or cultural context.
  • 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_69f34924b1cc8190ad3aca0c0f012a7e completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fed357b2b4819084c709056a54461f completed May 9, 2026, 6:25 a.m.
PD Predicate disambiguation batch_69fed103d9cc81909b11619745110c61 completed May 9, 2026, 6:15 a.m.
Created at: May 1, 2026, 1:02 a.m.