Triple
T31002914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة فصلت |
E789987
|
entity |
| Predicate | تتضمن |
P1393
|
FINISHED |
| Object |
آية السجدة في قوله تعالى "ومن آياته الليل والنهار"
آية السجدة في قوله تعالى "ومن آياته الليل والنهار" هي إحدى آيات السجود التلاوة في القرآن الكريم التي يُشرع عند تلاوتها أو سماعها السجود تعظيمًا لله تعالى.
|
E1940886
|
NE 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: آية السجدة في قوله تعالى "ومن آياته الليل والنهار" | Statement: [سورة فصلت, تتضمن, آية السجدة في قوله تعالى "ومن آياته الليل والنهار"]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: آية السجدة في قوله تعالى "ومن آياته الليل والنهار" Triple: [سورة فصلت, تتضمن, آية السجدة في قوله تعالى "ومن آياته الليل والنهار"]
Generated description
آية السجدة في قوله تعالى "ومن آياته الليل والنهار" هي إحدى آيات السجود التلاوة في القرآن الكريم التي يُشرع عند تلاوتها أو سماعها السجود تعظيمًا لله تعالى.
Provenance (5 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_69f224c65a348190baaed1c01a29900c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6944236708190867abea1af082fe8 |
completed | May 3, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28fbd1b5008190b0a32f15e72d0f50 |
completed | June 10, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_6a29001cd91481908ec73f725d1d4ea2 |
completed | June 10, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2900bd63188190860259a4735d415c |
completed | June 10, 2026, 6:14 a.m. |
Created at: April 29, 2026, 8:57 p.m.