Triple

T28331749
Position Surface form Disambiguated ID Type / Status
Subject étude E717553 entity
Predicate hasPedagogicalFunction P181223 FINISHED
Object progressive technical training 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: progressive technical training | Statement: [étude, hasPedagogicalFunction, progressive technical training]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPedagogicalFunction
Context triple: [étude, hasPedagogicalFunction, progressive technical training]
  • A. hasPedagogicalSystem
    Indicates that an educational institution, program, or context is associated with or employs a particular pedagogical system or teaching methodology.
  • B. hasEducationalUse
    Indicates that something is intended to be used for educational or instructional purposes.
  • C. hasEducationalDimension
    Indicates that something includes, involves, or contributes to an educational aspect, purpose, or impact within the relationship or context described.
  • D. hasEducationalScope
    Indicates that an entity is associated with a particular educational level, range, or context that defines the scope of its relevance or applicability.
  • E. hasEducationalFeature
    Indicates that something includes or is associated with a component, characteristic, or functionality intended for educational purposes.
  • F. None of above. chosen

Provenance (4 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_69eff6e9a57c8190a69c2c74b5d72119 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f7675b12848190a3569cfda29c5b0e completed May 3, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69f762f4b59481909f70074f11825bfb completed May 3, 2026, 3 p.m.
PDg Predicate description generation batch_69f76759b3c48190ad8f1b33596f98c4 completed May 3, 2026, 3:18 p.m.
Created at: April 28, 2026, 12:32 a.m.