Triple
T25787341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Arba'in al-Nawawiyya |
E649454
|
entity |
| Predicate | hadith42Theme |
P173674
|
FINISHED |
| Object | expanse of Allah’s forgiveness |
—
|
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: expanse of Allah’s forgiveness | Statement: [Al-Arba'in al-Nawawiyya, hadith42Theme, expanse of Allah’s forgiveness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadith42Theme Context triple: [Al-Arba'in al-Nawawiyya, hadith42Theme, expanse of Allah’s forgiveness]
-
A.
hadith24Theme
Indicates a thematic relationship where a hadith is associated with a particular topic, subject, or theme.
-
B.
hadith21Theme
Indicates the central topic or thematic focus conveyed in Hadith number 21.
-
C.
hadith41Theme
Indicates that a hadith is associated with, or exemplifies, a particular thematic concept or subject.
-
D.
hadith23Theme
Indicates that a hadith is associated with, or centers around, a particular theme or subject matter.
-
E.
hadith38Theme
Indicates that a hadith is associated with, or exemplifies, a particular theme or subject category.
- F. None of above. chosen
Provenance (4 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6b9a84ff88190ab5a71f7ef1e0dac |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b8fe147881908ba17483c7b13f05 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 22, 2026, 5:56 a.m.