Triple

T8541424
Position Surface form Disambiguated ID Type / Status
Subject Parklands Campus E202204 entity
Predicate academicUnitTypeHosted P186 FINISHED
Object school of law 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: school of law | Statement: [Parklands Campus, academicUnitTypeHosted, school of law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: academicUnitTypeHosted
Context triple: [Parklands Campus, academicUnitTypeHosted, school of law]
  • A. academicHost
    Indicates that one academic entity serves as the host or organizing institution for another academic activity, event, or affiliation.
  • B. hostsInstitution chosen
    Indicates that one entity serves as the hosting location or organizing body for an institution.
  • C. hasAcademicUnit
    Indicates that an entity is associated with, or belongs to, a specific academic unit such as a department, school, or faculty within an educational institution.
  • D. centralInstitutionOf
    Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
  • E. sponsoringInstitution
    Indicates that an institution provides financial or organizational support to enable or underwrite an activity, project, event, or 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e10bc081909a7210c577b807fb completed March 31, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69cbd111bf988190be98c92a607c6456 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:18 p.m.