Triple

T26999608
Position Surface form Disambiguated ID Type / Status
Subject LLB programme (University of the Witwatersrand) E680068 entity
Predicate aimsToPrepareFor P2534 FINISHED
Object judiciary-related careers 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: judiciary-related careers | Statement: [LLB programme (University of the Witwatersrand), aimsToPrepareFor, judiciary-related careers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aimsToPrepareFor
Context triple: [LLB programme (University of the Witwatersrand), aimsToPrepareFor, judiciary-related careers]
  • A. preparesFor chosen
    Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
  • B. aimOf
    Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
  • C. preparedFor
    Indicates that one entity has been made ready, equipped, or arranged in anticipation of use by or in connection with another entity.
  • D. aimsToDevelop
    Indicates an entity’s intention or effort to create, improve, or bring about another entity, outcome, or capability.
  • E. competitionLevelPreparedFor
    Indicates the degree or intensity of competition that an entity is ready or equipped to face.
  • 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_69eeeb52908c8190bd246244686aa455 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f625411c14819086492062e86ba8d5 completed May 2, 2026, 4:24 p.m.
PD Predicate disambiguation batch_69f623a91b9c8190b2e2fdbc55cb89b6 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 6:56 a.m.