Triple

T3986384
Position Surface form Disambiguated ID Type / Status
Subject Médard des Groseilliers E86881 entity
Predicate ethnicCultureAssociated P1439 FINISHED
Object French colonial 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 colonial | Statement: [Médard des Groseilliers, ethnicCultureAssociated, French colonial]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ethnicCultureAssociated
Context triple: [Médard des Groseilliers, ethnicCultureAssociated, French colonial]
  • A. hasAssociatedCulture chosen
    Indicates that an entity is related to, influenced by, or characterized by a particular culture.
  • B. associatedCult
    Indicates that an entity is connected or linked to a particular cult, typically through membership, affiliation, or influence.
  • 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. culturalCategory
    Indicates that one entity classifies or groups another entity according to a particular culture, tradition, or culturally defined type.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa3ef7ac8190abe02f440ff83c43 completed March 9, 2026, 4:50 p.m.
PD Predicate disambiguation batch_69aef8f492ac819089dbb9436dbcdd2b completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:33 p.m.