Triple

T872653
Position Surface form Disambiguated ID Type / Status
Subject Victoria College, Alexandria E18847 entity
Predicate educationalSystem P340 FINISHED
Object British public school model 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: British public school model | Statement: [Victoria College, Alexandria, educationalSystem, British public school model]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educationalSystem
Context triple: [Victoria College, Alexandria, educationalSystem, British public school model]
  • A. educationSystem chosen
    Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
  • B. educationSystemCharacteristic
    Indicates a characteristic, feature, or attribute that describes an education system.
  • C. educationalModel
    Indicates that one entity serves as an educational model, framework, or paradigm that guides or structures the teaching, learning, or training practices of another entity.
  • D. educationRight
    Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
  • E. schoolSystemType
    Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac97d0f88190b67fcb7fc058e4b9 completed March 1, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69a4aa8b9b5c81909ac71904f8b8b5cd completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.