Triple

T9990923
Position Surface form Disambiguated ID Type / Status
Subject Governor General of New France E196882 entity
Predicate typeOfPowerExercised P91457 FINISHED
Object executive power in the 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: executive power in the colony | Statement: [Governor General of New France, typeOfPowerExercised, executive power in the colony]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfPowerExercised
Context triple: [Governor General of New France, typeOfPowerExercised, executive power in the colony]
  • A. typeOfPowerGranted
    Indicates the specific kind or category of power or authority that is conferred from one entity to another.
  • B. exercisedPowerFrom
    Indicates that one entity exerted authority, control, or influence originating from a particular source, position, or location over another entity or context.
  • C. exercisedPowerOver
    Indicates that one entity exerted control, influence, or authority over another entity.
  • D. exerciseOfPower
    Indicates the exertion or application of authority, control, or influence by one entity over another or within a given context.
  • E. grantedPower
    Indicates that one entity has conferred authority, control, or a specific capability to another entity.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc7a0cb6481908d7bd1b43f93bd18 completed April 2, 2026, 1:34 a.m.
PD Predicate disambiguation batch_69cd1da07db88190945bcdab3ca82e71 completed April 1, 2026, 1:29 p.m.
PDg Predicate description generation batch_69cd358386f48190833c862b5b8c04b2 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 8:50 p.m.