Triple
T22526851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | دعاء الكروان |
E556926
|
entity |
| Predicate | تصنيف رقابي |
P25488
|
FINISHED |
| Object | فيلم للكبار نسبياً بسبب موضوعه الاجتماعي |
—
|
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: فيلم للكبار نسبياً بسبب موضوعه الاجتماعي | Statement: [دعاء الكروان, تصنيف رقابي, فيلم للكبار نسبياً بسبب موضوعه الاجتماعي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تصنيف رقابي Context triple: [دعاء الكروان, تصنيف رقابي, فيلم للكبار نسبياً بسبب موضوعه الاجتماعي]
-
A.
restraintType
Indicates the specific kind or method of restraint applied in a given situation or relationship.
-
B.
מאפיין עונתי
Indicates that something exhibits a seasonal characteristic, pattern, or variation over time.
-
C.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
D.
rimType
Indicates the specific style or configuration of a rim associated with an object or component.
-
E.
areClassifiedBy
chosen
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.