Triple

T19221413
Position Surface form Disambiguated ID Type / Status
Subject Lycée cantonal de Porrentruy E480622 entity
Predicate hasEducationalTrack P2489 FINISHED
Object general academic track 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 academic track | Statement: [Lycée cantonal de Porrentruy, hasEducationalTrack, general academic track]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEducationalTrack
Context triple: [Lycée cantonal de Porrentruy, hasEducationalTrack, general academic track]
  • A. hasEducationalStatus
    Indicates that an entity possesses a particular level, state, or condition of formal education or academic attainment.
  • B. hasEducationalProfile
    Indicates that an entity is associated with a specific educational profile, detailing its education-related characteristics, qualifications, or academic background.
  • C. hasEducationalProgram chosen
    Indicates that an entity offers, runs, or is associated with a specific educational program.
  • D. hasEducationIn
    Indicates that an entity has received education, training, or formal study in a specified field, subject, or discipline.
  • E. hasEducationalAchievement
    Indicates that an entity has attained a specific level, degree, or form of formal educational accomplishment.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3fa9348190920f9d41b8beb900 completed April 20, 2026, 10:04 a.m.
PD Predicate disambiguation batch_69e4dcfae6f081909cc173cf71a5005c completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:24 p.m.