Triple
T20930964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabic mutaqārib metre |
E515467
|
entity |
| Predicate | hasLearningMethod |
P16019
|
FINISHED |
| Object | memorized through metrical circles and examples |
—
|
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: memorized through metrical circles and examples | Statement: [Arabic mutaqārib metre, hasLearningMethod, memorized through metrical circles and examples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLearningMethod Context triple: [Arabic mutaqārib metre, hasLearningMethod, memorized through metrical circles and examples]
-
A.
usesLearningMechanism
Indicates that one entity employs or applies a particular learning mechanism or method in its functioning or behavior.
-
B.
trainingMethod
chosen
Indicates the specific approach, technique, or procedure used to train an entity (such as a person, model, or system).
-
C.
canBeLearnedBy
Indicates that a particular subject, skill, or knowledge is capable of being acquired or mastered by a specified learner or group of learners.
-
D.
learnedIn
Indicates that an entity acquired knowledge, skills, or information within a particular context, environment, or source.
-
E.
supportsLearningMechanism
Indicates that one entity facilitates, enables, or enhances the learning mechanism or process of another entity.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f6557e4881909ce932c3f538304a |
completed | April 21, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:49 p.m.