Triple

T79996
Position Surface form Disambiguated ID Type / Status
Subject Luitpold Gymnasium E1605 entity
Predicate hasCurriculumFocus P2582 FINISHED
Object general secondary 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: general secondary education | Statement: [Luitpold Gymnasium, hasCurriculumFocus, general secondary education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCurriculumFocus
Context triple: [Luitpold Gymnasium, hasCurriculumFocus, general secondary education]
  • A. academicFocus
    Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
  • B. isStudiedIn
    Indicates that a subject (such as a topic, field, or phenomenon) is examined, researched, or learned about within a particular context, environment, or discipline.
  • C. hasEducationalProgram
    Indicates that an entity offers, runs, or is associated with a specific educational program.
  • D. offersFieldOfStudy chosen
    Indicates that an institution or program provides a particular field of study as an available area of academic focus.
  • E. hasResearchArea
    Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24fd16c248190a6ee4cd96c388772 completed Feb. 28, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69a24eb126b48190b410b859c1be99aa completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.