Triple

T14453139
Position Surface form Disambiguated ID Type / Status
Subject Technical and Further Education in Australia E358386 entity
Predicate articulatesTo P114340 FINISHED
Object university degree programs 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: university degree programs | Statement: [Technical and Further Education in Australia, articulatesTo, university degree programs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: articulatesTo
Context triple: [Technical and Further Education in Australia, articulatesTo, university degree programs]
  • A. articulatedWith
    Indicates that two parts are connected by a joint or mechanism that allows controlled movement between them.
  • B. articulated
    Indicates that one entity has expressed, formulated, or clearly stated another entity (such as an idea, plan, or position) in words or another communicative form.
  • C. hasArticulation
    Indicates that one entity possesses or exhibits a specific type or structure of articulation in relation to another entity or system.
  • D. usesArticulators
    Indicates that an entity performs an action or produces a signal by employing specific speech or movement articulators (e.g., tongue, lips, jaw).
  • E. communicatesTo
    Indicates that one entity sends or conveys information, messages, or signals to another entity as the intended recipient.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a8bf088190abf5fd4f646b8c62 completed April 14, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69de5c3a02fc819097373f97a260cdeb completed April 14, 2026, 3:24 p.m.
PDg Predicate description generation batch_69de5fb4de14819092acdecbd201d672 completed April 14, 2026, 3:39 p.m.
Created at: April 10, 2026, 1:19 a.m.