Triple

T24790255
Position Surface form Disambiguated ID Type / Status
Subject 広陵高等学校 E620231 entity
Predicate 教育段階 P177 FINISHED
Object 中等教育後期 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: 中等教育後期 | Statement: [広陵高等学校, 教育段階, 中等教育後期]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 教育段階
Context triple: [広陵高等学校, 教育段階, 中等教育後期]
  • A. educationalSector
    Indicates a relationship in which something is part of, associated with, or operates within the education or schooling domain.
  • B. educationRight
    Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
  • C. освіта
    Indicates that one entity provides, has, or is associated with the education or educational background of another entity.
  • D. educationType chosen
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • E. educationSystem
    Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
  • 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_69e2fabe77c8819085f7ce6486248139 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f41102028081909cde16f6e80bc321 completed May 1, 2026, 2:33 a.m.
PD Predicate disambiguation batch_69f40ef612c88190ab2f3f08d4a92018 completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 4:47 a.m.