Triple
T14313451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة التكاثر |
E354892
|
entity |
| Predicate | محورها الأخلاقي |
P54211
|
FINISHED |
| Object | التحذير من التفاخر والتباهي بالمال والعدد |
—
|
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: التحذير من التفاخر والتباهي بالمال والعدد | Statement: [سورة التكاثر, محورها الأخلاقي, التحذير من التفاخر والتباهي بالمال والعدد]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: محورها الأخلاقي Context triple: [سورة التكاثر, محورها الأخلاقي, التحذير من التفاخر والتباهي بالمال والعدد]
-
A.
derivesMoralityFrom
Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
-
B.
moralCriterion
chosen
Indicates that something is being evaluated or classified according to a standard of moral judgment or ethical rightness.
-
C.
מאפיין עונתי
Indicates that something exhibits a seasonal characteristic, pattern, or variation over time.
-
D.
moralTrajectory
Indicates the direction and pattern of change in an entity’s moral behavior or ethical stance over time.
-
E.
السمعة
Indicates the reputation or public perception associated with an entity based on others’ opinions or past actions.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b49e5481909b9ffab2d922e284 |
completed | April 14, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.