Triple

T30391003
Position Surface form Disambiguated ID Type / Status
Subject Ragged School Museum E773083 entity
Predicate typeOfEducationHighlighted P177 FINISHED
Object free education for poor children 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: free education for poor children | Statement: [Ragged School Museum, typeOfEducationHighlighted, free education for poor children]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfEducationHighlighted
Context triple: [Ragged School Museum, typeOfEducationHighlighted, free education for poor children]
  • A. educationType chosen
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • B. hasHigherEducationType
    Indicates that one entity has a specified type or category of higher education associated with it.
  • C. educationStatus
    Indicates the current or achieved level, stage, or condition of an entity’s formal education.
  • D. hasEducationIn
    Indicates that an entity has received education, training, or formal study in a specified field, subject, or discipline.
  • E. educatedAt
    Indicates that an entity received education or formal training at a specified institution or place of learning.
  • 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_69f2248ef0a48190aa54d4d8ac3e5758 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69ff5b233e9c8190adc06cca0758986b completed May 9, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69ff5a5682108190a006b23c4fcdcc7c completed May 9, 2026, 4:01 p.m.
Created at: April 29, 2026, 8:02 p.m.