Triple

T1849266
Position Surface form Disambiguated ID Type / Status
Subject Independent Schools Inspectorate E41356 entity
Predicate regulatesStandard P14466 FINISHED
Object safeguarding 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: safeguarding | Statement: [Independent Schools Inspectorate, regulatesStandard, safeguarding]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatesStandard
Context triple: [Independent Schools Inspectorate, regulatesStandard, safeguarding]
  • A. regulatesWith chosen
    Indicates that one entity controls, modulates, or influences the activity, state, or behavior of another entity through some regulatory mechanism or interaction.
  • B. regulatesUse
    Indicates that one entity controls, governs, or sets rules for how another entity may be used.
  • C. alsoRegulates
    Indicates that an entity not only has a primary regulatory effect on a target but additionally regulates that same target through another, supplementary regulatory relationship.
  • D. regulatesProgram
    Indicates that one entity exercises control or governance over the operation, rules, or functioning of a program.
  • E. allowsRegulationOf
    Indicates that one entity grants the authority, means, or conditions for another entity to control, manage, or govern something.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb32d35508190bf1c487dffbecaf0 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abafdca6d8819083c66f3a29fd9fd1 completed March 7, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:33 p.m.