Triple

T25979023
Position Surface form Disambiguated ID Type / Status
Subject Saint-Christophe E646018 entity
Predicate languageColonialAdministration P181391 FINISHED
Object French 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 | Statement: [Saint-Christophe, languageColonialAdministration, French]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageColonialAdministration
Context triple: [Saint-Christophe, languageColonialAdministration, French]
  • A. colonialAdministrationFrom
    Indicates that a colonial authority or power exercised administrative control originating from a specified source or governing entity over another territory or population.
  • B. hadColonialAdministrationType
    Indicates the specific form or system of colonial governance that was exercised over a territory or population.
  • C. colonialAdministrationUnder
    Indicates that one entity functioned as the governing colonial authority administering another entity.
  • D. hasColonialAdministrativeCategory
    Indicates that an entity is classified under a specific category within a colonial administrative system or hierarchy.
  • E. usedInColonialAdministration
    Indicates that something was employed as a tool, system, or resource within the structures or practices of colonial governance and administration.
  • F. None of above. chosen

Provenance (4 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_69e77e881fc08190ba1c8dc7e2a07f97 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f7764ab1fc81909f9348db87bd7692 completed May 3, 2026, 4:22 p.m.
PD Predicate disambiguation batch_69f76905d9c88190b1ee810bc9ab644f completed May 3, 2026, 3:25 p.m.
PDg Predicate description generation batch_69f77648979c8190b6cdbb835ab8987c completed May 3, 2026, 4:22 p.m.
Created at: April 22, 2026, 8:53 a.m.