Triple

T79987
Position Surface form Disambiguated ID Type / Status
Subject Luitpold Gymnasium E1605 entity
Predicate levelOfEducation P177 FINISHED
Object 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: secondary education | Statement: [Luitpold Gymnasium, levelOfEducation, secondary education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: levelOfEducation
Context triple: [Luitpold Gymnasium, levelOfEducation, secondary education]
  • A. educatedAt
    Indicates that an entity received education or formal training at a specified institution or place of learning.
  • B. educationType chosen
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • C. academicDegree
    Indicates that an entity holds or has been awarded a specific academic degree.
  • D. college
    Indicates that an entity is a college-level educational institution attended by or associated with another entity.
  • E. 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.
  • 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.