Triple
T21501405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabic maqam |
E530481
|
entity |
| Predicate | hasPedagogicalElement |
P131491
|
FINISHED |
| Object | learning ajnas |
—
|
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: learning ajnas | Statement: [Arabic maqam, hasPedagogicalElement, learning ajnas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPedagogicalElement Context triple: [Arabic maqam, hasPedagogicalElement, learning ajnas]
-
A.
hasPedagogicalSystem
Indicates that an educational institution, program, or context is associated with or employs a particular pedagogical system or teaching methodology.
-
B.
containsTeachingOf
chosen
Indicates that one entity includes, embodies, or presents the teaching, doctrine, or instructional content associated with another entity.
-
C.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
D.
hasTeachingContext
Indicates that an entity is associated with a specific educational or instructional setting in which teaching occurs.
-
E.
hasEducationalMaterial
Indicates that an entity provides, contains, or is associated with educational content or learning resources for 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea5be400819093e2b7e145254eab |
completed | April 23, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:24 p.m.