Triple

T5278643
Position Surface form Disambiguated ID Type / Status
Subject Leeds Trinity University E119434 entity
Predicate sectorRegulation P35404 FINISHED
Object Office for Students oversight 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: Office for Students oversight | Statement: [Leeds Trinity University, sectorRegulation, Office for Students oversight]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sectorRegulation
Context triple: [Leeds Trinity University, sectorRegulation, Office for Students oversight]
  • A. relatedRegulation
    Indicates that there exists a regulatory rule, law, or directive that is associated with, governs, or is otherwise relevant to the referenced entity or activity.
  • B. regulationAtIssue
    Indicates that a specific regulation is the subject of concern, dispute, or analysis in the given context.
  • C. industryRegime chosen
    Indicates a regulatory or governance framework that controls or shapes how an industry operates.
  • D. 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.
  • E. tradeRegulator
    Indicates that an entity has authority to oversee, control, or enforce rules governing trade activities or commercial exchanges involving another entity.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8c9c72b08190947b6b955ac1bb5a completed March 20, 2026, 6:06 p.m.
PD Predicate disambiguation batch_69bd844a56b48190ad743c42246e02dd completed March 20, 2026, 5:30 p.m.
Created at: March 20, 2026, 1:51 p.m.