Triple

T34003945
Position Surface form Disambiguated ID Type / Status
Subject Stormarnschule Ahrensburg E871904 entity
Predicate hasSchoolFocus P19184 FINISHED
Object academic education 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: academic education | Statement: [Stormarnschule Ahrensburg, hasSchoolFocus, academic education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSchoolFocus
Context triple: [Stormarnschule Ahrensburg, hasSchoolFocus, academic education]
  • A. hasSchool
    Indicates that an entity possesses, is associated with, or is served by a particular school.
  • B. hasSchoolIn
    Indicates that a school is located within or operates in a specified place or region.
  • C. hasSchoolCategory chosen
    Indicates that an entity (such as a school or educational institution) is associated with a particular category or type of school.
  • D. hasSchoolsAccess
    Indicates that one entity has permission or the ability to access schools or school-related resources associated with another entity.
  • E. hasSpecializedSchool
    Indicates that an entity operates or is associated with a school focused on a specific field, discipline, or specialized type 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_69f3499f8cbc81908de6ec89fa91ea8f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fd0b92f42881908cd77e3f058adcc2 completed May 7, 2026, 10 p.m.
PD Predicate disambiguation batch_69fd0a3d68d4819094d92040f7c48d7c completed May 7, 2026, 9:55 p.m.
Created at: May 1, 2026, 1:50 a.m.