Triple

T9835719
Position Surface form Disambiguated ID Type / Status
Subject Seraphina Picquery E239093 entity
Predicate controlsOrganizationType P6125 FINISHED
Object wizarding legislative and judicial body 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: wizarding legislative and judicial body | Statement: [Seraphina Picquery, controlsOrganizationType, wizarding legislative and judicial body]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controlsOrganizationType
Context triple: [Seraphina Picquery, controlsOrganizationType, wizarding legislative and judicial body]
  • A. organizationType
    Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
  • B. containsOrganizationType
    Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
  • C. controlledOrganization
    Indicates that one entity has the authority to direct, manage, or significantly influence the operations and decisions of another organization.
  • D. organizationTypeGoverned chosen
    Indicates that one entity governs or has authoritative control over a specific type or category of organization.
  • E. usedByOrganizationType
    Indicates that something is utilized or employed by organizations of a specified type.
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb339aa1c8190901d8e660cef49c5 completed April 2, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69cd03e30bc08190816c0a6d29c21b0f completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:33 p.m.