Triple

T13928647
Position Surface form Disambiguated ID Type / Status
Subject Technion Guangdong Institute of Technology E334926 entity
Predicate hasCurriculumBasis P112321 FINISHED
Object Technion curriculum 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: Technion curriculum | Statement: [Technion Guangdong Institute of Technology, hasCurriculumBasis, Technion curriculum]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCurriculumBasis
Context triple: [Technion Guangdong Institute of Technology, hasCurriculumBasis, Technion curriculum]
  • A. hasCurricularStructure
    Indicates that an educational program or course is organized according to a defined curricular framework or structure.
  • B. hasCurriculumScope
    Indicates that a curriculum or educational program applies to, or is defined within, a particular scope or context (such as grade level, subject area, or institution).
  • C. hasCurriculumComponent
    Indicates that one curriculum or educational program includes or is composed of a particular component, module, or element.
  • D. hasCurriculumArea
    Indicates that an educational program, course, or learning activity is associated with a specific curriculum area or subject domain.
  • E. hasCurriculumGoal
    Indicates that an educational curriculum includes or is associated with a specific intended learning goal or objective.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa900a0819095eeb1bc46b0336e completed April 14, 2026, 11:53 a.m.
PD Predicate disambiguation batch_69de059e4ba881908554f72e889719fa completed April 14, 2026, 9:15 a.m.
PDg Predicate description generation batch_69de239524688190a0f2408c239cfcaa completed April 14, 2026, 11:23 a.m.
Created at: April 9, 2026, 10:16 p.m.