Triple
T25787337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Arba'in al-Nawawiyya |
E649454
|
entity |
| Predicate | hadith38Theme |
P172325
|
FINISHED |
| Object | Allah’s mercy |
—
|
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: Allah’s mercy | Statement: [Al-Arba'in al-Nawawiyya, hadith38Theme, Allah’s mercy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadith38Theme Context triple: [Al-Arba'in al-Nawawiyya, hadith38Theme, Allah’s mercy]
-
A.
hadith28Theme
Indicates that a given subject or text is associated with the theme or main topic of Hadith number 28.
-
B.
hadith36Theme
Indicates the central religious, ethical, or legal theme conveyed by Hadith number 36.
-
C.
hadith37Theme
Indicates that one entity is the central topic, subject, or thematic focus of Hadith number 37 in a given collection.
-
D.
hadith34Theme
Indicates that a hadith is associated with, or categorized under, a particular thematic topic or subject.
-
E.
hadith3Theme
Indicates that a hadith is associated with a particular thematic category or subject.
- 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_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 22, 2026, 5:56 a.m.