Triple
T25787323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Arba'in al-Nawawiyya |
E649454
|
entity |
| Predicate | hadith24Theme |
P167271
|
FINISHED |
| Object | Allah’s protection of His servants |
—
|
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 protection of His servants | Statement: [Al-Arba'in al-Nawawiyya, hadith24Theme, Allah’s protection of His servants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadith24Theme Context triple: [Al-Arba'in al-Nawawiyya, hadith24Theme, Allah’s protection of His servants]
-
A.
hadith23Theme
Indicates that a hadith is associated with, or centers around, a particular theme or subject matter.
-
B.
hadith21Theme
Indicates the central topic or thematic focus conveyed in Hadith number 21.
-
C.
hadith22Theme
Indicates that a hadith is associated with a particular theme or subject matter.
-
D.
hadith20Theme
Indicates that a hadith is associated with a particular theme, topic, or subject category.
-
E.
hadith18Theme
Indicates that a hadith is associated with a particular theme, topic, 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_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 22, 2026, 5:56 a.m.