Triple

T262189
Position Surface form Disambiguated ID Type / Status
Subject China E5561 entity
Predicate educationSystemFeature P340 FINISHED
Object compulsory education for nine years 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: compulsory education for nine years | Statement: [China, educationSystemFeature, compulsory education for nine years]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educationSystemFeature
Context triple: [China, educationSystemFeature, compulsory education for nine years]
  • A. educationSystem chosen
    Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
  • B. offersEducationMode
    Indicates that an entity provides a particular mode or format in which education or instruction is delivered.
  • C. educationalModel
    Indicates that one entity serves as an educational model, framework, or paradigm that guides or structures the teaching, learning, or training practices of another entity.
  • D. educationType
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • E. educationalFocus
    Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25e2aba74819093eddd8d820260c0 completed Feb. 28, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69a25b6c968c819094fc903a3a377e15 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.