Triple
T15577674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة لهب |
E374409
|
entity |
| Predicate | تذكر عقوبة امرأة أبي لهب |
P118221
|
FINISHED |
| Object | فِي جِيدِهَا حَبْلٌ مِّن مَّسَدٍ |
—
|
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: فِي جِيدِهَا حَبْلٌ مِّن مَّسَدٍ | Statement: [سورة لهب, تذكر عقوبة امرأة أبي لهب, فِي جِيدِهَا حَبْلٌ مِّن مَّسَدٍ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تذكر عقوبة امرأة أبي لهب Context triple: [سورة لهب, تذكر عقوبة امرأة أبي لهب, فِي جِيدِهَا حَبْلٌ مِّن مَّسَدٍ]
-
A.
تذكر عقوبة زوجة أبي لهب
chosen
Indicates that an entity recalls or mentions the punishment of the wife of Abu Lahab.
-
B.
تذكر كنية امرأة أبي لهب
Indicates mentioning or recalling the kunya (honorific nickname) of Abu Lahab’s wife.
-
C.
حكم تلاوتها
Indicates the ruling or legal judgment regarding the recitation of something (e.g., whether its recitation is obligatory, recommended, permissible, disliked, or forbidden).
-
D.
تذكر كتاب الأبرار
Indicates that an entity recalls or mentions the book of the righteous.
-
E.
تذكر وصف العذاب
Indicates mentioning or recalling a description of the torment or punishment.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:11 a.m.