Triple

T36525412
Position Surface form Disambiguated ID Type / Status
Subject Koori Mail E900287 entity
Predicate hasControlModel P204916 FINISHED
Object Indigenous-controlled 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: Indigenous-controlled | Statement: [Koori Mail, hasControlModel, Indigenous-controlled]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasControlModel
Context triple: [Koori Mail, hasControlModel, Indigenous-controlled]
  • A. hasControlElement
    Indicates that one entity includes or is associated with a component specifically intended to control, regulate, or influence its behavior or operation.
  • B. hasControlService
    Indicates that one entity provides or performs a control-related service for another entity.
  • C. hasAccessModel
    Indicates that one entity is permitted to use, interact with, or retrieve a particular model controlled by another entity or system.
  • D. hasControlFields
    Indicates that one entity possesses or defines control-related parameters, settings, or fields that govern the behavior or configuration of another entity or process.
  • E. hasModelIn
    Indicates that an entity is represented or instantiated as a model within a specified context, system, or container.
  • F. None of above. chosen

Provenance (4 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_69f76e5eedb88190a393b8c623f71dd7 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c92f03c8190ae2751270b195423 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a0bf4b88190bdcfae9a14b51f0a completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c82f8c88190bd77a086023ac0e1 completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:11 p.m.