Triple
T25787317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Arba'in al-Nawawiyya |
E649454
|
entity |
| Predicate | hadith18Theme |
P165010
|
FINISHED |
| Object | fear of Allah wherever you are |
—
|
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: fear of Allah wherever you are | Statement: [Al-Arba'in al-Nawawiyya, hadith18Theme, fear of Allah wherever you are]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadith18Theme Context triple: [Al-Arba'in al-Nawawiyya, hadith18Theme, fear of Allah wherever you are]
-
A.
hadith16Theme
Indicates that a subject (such as a text, narration, or discussion) is thematically related to or centered around Hadith 16.
-
B.
hadith8Theme
Indicates that a hadith is associated with a particular thematic category or subject area.
-
C.
hadith17Theme
Indicates that a hadith is associated with a particular theme or subject matter.
-
D.
hadith15Theme
Indicates that a hadith is associated with a particular theme, topic, or subject category.
-
E.
hadith11Theme
Indicates that a hadith is associated with a particular theme or subject matter.
- 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_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 22, 2026, 5:56 a.m.