Triple

T32593749
Position Surface form Disambiguated ID Type / Status
Subject implemented policies to increase population of New France E833140 entity
Predicate implementedDuringRoleOf P41633 FINISHED
Object Intendant of New France NE NERFINISHED

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: Intendant of New France | Statement: [implemented policies to increase population of New France, implementedDuringRoleOf, Intendant of New France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: implementedDuringRoleOf
Context triple: [implemented policies to increase population of New France, implementedDuringRoleOf, Intendant of New France]
  • A. appliedDuringRole chosen
    Indicates that an action, method, or process was carried out specifically while an entity was serving in a particular role or position.
  • B. carriedOutRole
    Indicates that an entity performed or fulfilled a specific role in the context of an activity, event, or process.
  • C. effectiveRole
    Indicates the functional role or capacity an entity actually performs or holds in a given context, regardless of its formal or nominal designation.
  • D. representedRole
    Indicates that one entity serves as a stand-in, proxy, or representative performing a role on behalf of another entity.
  • E. providedRole
    Indicates that one entity has assigned or supplied a specific role or function to another entity.
  • 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_69f34929ff648190aded9424aa7564ae completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6d16f5cb881908eed141afaaa0b51 completed May 3, 2026, 4:39 a.m.
PD Predicate disambiguation batch_69f6cfe45554819089cbbd538d992132 completed May 3, 2026, 4:32 a.m.
Created at: May 1, 2026, 1:05 a.m.