Triple

T2617692
Position Surface form Disambiguated ID Type / Status
Subject Spanish royal court E58928 entity
Predicate governanceFunction P19333 FINISHED
Object advising the monarch 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: advising the monarch | Statement: [Spanish royal court, governanceFunction, advising the monarch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governanceFunction
Context triple: [Spanish royal court, governanceFunction, advising the monarch]
  • A. governance
    Indicates the relationship in which one entity exercises authority, control, or decision-making power over the policies, actions, or direction of another entity or system.
  • B. governanceChange
    Indicates a change in the structure, rules, or authority of how an entity, organization, or system is governed.
  • C. governanceActor chosen
    Indicates that an entity plays a role in governing, managing, or overseeing another entity, process, or domain.
  • D. governanceModel
    Indicates the type or structure of authority, decision-making, and control that defines how an entity is directed and overseen.
  • E. governanceChallenge
    Indicates a situation where the structures, processes, or actors responsible for governing face difficulties, obstacles, or conflicts that hinder effective decision-making or oversight.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdaca581881908fe8d3d820f839b7 completed March 7, 2026, 7:59 a.m.
PD Predicate disambiguation batch_69abd80f48888190afdf7e3e042157d0 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:50 p.m.