Triple
T30445776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian school of ballet |
E774572
|
entity |
| Predicate | trainingStructure |
P11879
|
FINISHED |
| Object | progressive technical syllabus |
—
|
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 syllabus | Statement: [Italian school of ballet, trainingStructure, progressive technical syllabus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingStructure Context triple: [Italian school of ballet, trainingStructure, progressive technical syllabus]
-
A.
trainingSystem
chosen
Indicates a system or framework used to train, instruct, or develop skills or knowledge in a target entity.
-
B.
trainingComponent
Indicates that one entity functions as a training-related part, module, or element within a larger training process or system involving another entity.
-
C.
trainingFormat
Indicates the specific method or medium through which training is delivered or conducted.
-
D.
trainingSystemCommon
Indicates a relationship where different entities share or use the same training system or training framework in common.
-
E.
trainingBase
Indicates that one entity serves as the training base, site, or facility where another entity receives training or instruction.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 29, 2026, 8:08 p.m.