Triple

T1765379
Position Surface form Disambiguated ID Type / Status
Subject French Ministry of Overseas France E38749 entity
Predicate hasOrganisationalForm P3504 FINISHED
Object ministerial department 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: ministerial department | Statement: [French Ministry of Overseas France, hasOrganisationalForm, ministerial department]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOrganisationalForm
Context triple: [French Ministry of Overseas France, hasOrganisationalForm, ministerial department]
  • A. hasOrganizationalStructure
    Indicates that an entity possesses a defined internal arrangement of roles, responsibilities, and relationships that determine how it is organized and operates.
  • B. hasTypeOfOrganization chosen
    Indicates that an entity is classified as belonging to a particular type or category of organization.
  • C. organizationType
    Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
  • D. hasEconomicOrganization
    Indicates that an entity possesses, is associated with, or participates in a specific economic organization or institutional economic structure.
  • E. containsOrganizationType
    Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab39fc2c448190bfaf1ee8d474632a completed March 6, 2026, 8:33 p.m.
PD Predicate disambiguation batch_69aa61cbb1288190a7ba38b61905f578 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.