Triple

T25979035
Position Surface form Disambiguated ID Type / Status
Subject Saint-Christophe E646018 entity
Predicate laterColonialAdministrationType P1829 FINISHED
Object royal French colony 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: royal French colony | Statement: [Saint-Christophe, laterColonialAdministrationType, royal French colony]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterColonialAdministrationType
Context triple: [Saint-Christophe, laterColonialAdministrationType, royal French colony]
  • A. hadColonialAdministrationType chosen
    Indicates the specific form or system of colonial governance that was exercised over a territory or population.
  • B. colonialAdministrationUnder
    Indicates that one entity functioned as the governing colonial authority administering another entity.
  • C. colonialAdministrationFrom
    Indicates that a colonial authority or power exercised administrative control originating from a specified source or governing entity over another territory or population.
  • D. hasColonialAdministrativeCategory
    Indicates that an entity is classified under a specific category within a colonial administrative system or hierarchy.
  • E. laterGovernedAs
    Indicates that an entity subsequently held governing authority over another entity at a later time.
  • 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_69e77e881fc08190ba1c8dc7e2a07f97 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f707f7959881908f037f0d6b1d0c36 completed May 3, 2026, 8:31 a.m.
PD Predicate disambiguation batch_69f700fc274c8190a128593dc7c7abd0 completed May 3, 2026, 8:02 a.m.
Created at: April 22, 2026, 8:53 a.m.