Triple

T14451158
Position Surface form Disambiguated ID Type / Status
Subject House of Lorraine in Tuscany E358336 entity
Predicate educationalReform P15018 FINISHED
Object secularization of education 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: secularization of education | Statement: [House of Lorraine in Tuscany, educationalReform, secularization of education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educationalReform
Context triple: [House of Lorraine in Tuscany, educationalReform, secularization of education]
  • A. educationPolicy chosen
    Indicates a relationship where an authority or entity establishes, governs, or influences rules, strategies, or frameworks guiding an education system or educational practices.
  • B. educationalImpact
    Indicates the effect or influence that one entity has on the learning, knowledge, or educational outcomes of another.
  • C. educationalSector
    Indicates a relationship in which something is part of, associated with, or operates within the education or schooling domain.
  • D. educationRight
    Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
  • E. educationSystem
    Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de916244948190bb09d1bfc485ba50 completed April 14, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69de5c3a02fc819097373f97a260cdeb completed April 14, 2026, 3:24 p.m.
Created at: April 10, 2026, 1:19 a.m.