Triple
T11496948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musabbihat surahs |
E272557
|
entity |
| Predicate | studyAspect |
P41893
|
FINISHED |
| Object | analyzed for rhetorical patterns of glorification |
—
|
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: analyzed for rhetorical patterns of glorification | Statement: [Musabbihat surahs, studyAspect, analyzed for rhetorical patterns of glorification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studyAspect Context triple: [Musabbihat surahs, studyAspect, analyzed for rhetorical patterns of glorification]
-
A.
isSubjectOfStudy
Indicates that an entity is the focus or topic being examined, researched, or analyzed in a study or investigation.
-
B.
academicFocus
Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
-
C.
dimensionOfStudy
chosen
Indicates the specific field, aspect, or perspective that characterizes or structures a particular study or research activity.
-
D.
partOfStudy
Indicates that something is a component, segment, or subset within a larger study or research project.
-
E.
alsoStudied
Indicates that an entity pursued additional studies in another subject, field, or institution besides a primary one.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de183f08190abfa36eaabc61dc6 |
completed | April 10, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.