Triple

T1097945
Position Surface form Disambiguated ID Type / Status
Subject Industrial Academy in Moscow E24311 entity
Predicate hasCurriculumComponent P24108 FINISHED
Object political economy 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: political economy | Statement: [Industrial Academy in Moscow, hasCurriculumComponent, political economy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCurriculumComponent
Context triple: [Industrial Academy in Moscow, hasCurriculumComponent, political economy]
  • A. usesCurriculum
    Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
  • B. hasOpenCurriculum
    Indicates that an educational program or institution allows students significant flexibility to choose courses and design their own course of study rather than following a fixed, prescribed curriculum.
  • C. hasPrimaryCourse
    Indicates that an entity is associated with its main or principal course in a given context (such as a meal, curriculum, or sequence of offerings).
  • D. hasStudentEnrollment
    Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
  • E. hasStudentSection
    Indicates that an entity (such as a course or class) is associated with a specific student section or subgroup of enrolled students.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9a1d3108190b2a304fef429848d completed March 1, 2026, 10:11 p.m.
PD Predicate disambiguation batch_69a4b745ef3481909a7ce4647c8567b3 completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4b8f1097881908932d7eea4331917 completed March 1, 2026, 10:08 p.m.
Created at: March 1, 2026, 7:43 p.m.