Triple
T33907883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة النجم |
E869234
|
entity |
| Predicate | تتحدث عن |
P33880
|
FINISHED |
| Object | رؤية النبي محمد لجبريل عليه السلام |
—
|
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: رؤية النبي محمد لجبريل عليه السلام | Statement: [سورة النجم, تتحدث عن, رؤية النبي محمد لجبريل عليه السلام]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تتحدث عن Context triple: [سورة النجم, تتحدث عن, رؤية النبي محمد لجبريل عليه السلام]
-
A.
teachesAbout
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
-
B.
containsDiscussionOf
chosen
Indicates that one entity includes or features a discussion, treatment, or consideration of another entity as a topic or subject.
-
C.
alsoSpeak
Indicates that an entity, in addition to another language or mode of communication already mentioned, speaks this additional language or communicates in this additional way.
-
D.
topicOfDialogue
Indicates that a particular subject or theme is the main focus of a dialogue or conversation between entities.
-
E.
topicOfDiscourse
Indicates that something serves as the subject or focus of a particular discussion, conversation, or communicative act.
- 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_69f3499869bc8190b6c33a81686af226 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:48 a.m.