Triple
T15183415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الكوثر |
E362805
|
entity |
| Predicate | تتضمن وعيدًا |
P24842
|
FINISHED |
| Object | إِنَّ شَانِئَكَ هُوَ الْأَبْتَرُ |
—
|
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: إِنَّ شَانِئَكَ هُوَ الْأَبْتَرُ | Statement: [سورة الكوثر, تتضمن وعيدًا, إِنَّ شَانِئَكَ هُوَ الْأَبْتَرُ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تتضمن وعيدًا Context triple: [سورة الكوثر, تتضمن وعيدًا, إِنَّ شَانِئَكَ هُوَ الْأَبْتَرُ]
-
A.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
B.
containedWith
Indicates that one entity is located or kept inside the bounds or interior space of another entity.
-
C.
includesSaying
chosen
Indicates that one entity (such as a text, speech, or communication) contains or incorporates a particular saying, phrase, or quoted expression.
-
D.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
E.
involves
Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006663ad48190986b680001be0e9b |
completed | April 15, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:09 a.m.